Sponsors: Southeast University, National Natural Science Foundation of China, Chinese University of Hong Kong, University of Illinois at Chicago, and K. C. Wong Education Foundation of Hong Kong Technical Co-Sponsors: IEEE Computational Intelligence Society, IEEE Nanjing Section, International Neural Network Society, European Neural Network Society, and Asia Pacific Neural Network Assembly

FINAL PROGRAM

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June 3–7, 2007 Mandarin Garden Hotel, Nanjing, China http://liu.ece.uic.edu/ISNN07, http://www2.acae.cuhk.edu.hk/∼isnn2007

GREETINGS FROM THE GENERAL CHAIRS

Welcome to ISNN 2007–the Fourth International Symposium on Neural Networks, which will be held in Nanjing, as a sequel of ISNN 2004/ISNN 2005/ISNN 2006. Nanjing is an old capital of China, a modern metropolitan with 2470-year history and rich cultural heritage. We hope that you have a technically rewarding experience as well as some memorable experiences in this great city. ISNN 2007 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in diverse fields. The symposium will feature plenary lectures given by worldwide renowned scholars, regular sessions with broad coverage, and some special sessions focusing on popular topics. Participants of ISNN 2007 will enjoy an extraordinary technical program thanks to the ISNN 2007 International Program Committee chaired by Zeng-Guang Hou and Huaguang Zhang and to Special Sessions Chairs Lei Guo and Wen Yu. Great thanks go to Publicity Chair Changyin Sun and Publications Chair Jinde Cao for their excellent work. Special thanks also go to other key conference organizing committee members including: Finance Chair Xinping Guan, Publicity Co-Chairs Zongli Lin and Weixing Zheng, Registration Chairs Hua Liang and Bhaskhar DasGupta, Local Arrangements Chairs Enrong Wang, Shengyuan Xu, and Junyong Zhai, Electronic Review Chair Xiaofeng Liao, and Symposium Secretariats Ting Huang and Jinya Song. We would like to also express our sincere gratitude to all reviewers of ISNN 2007 for the time and effort they have generously given to the symposium. We are very grateful to the National Natural Science Foundation of China, K. C. Wong Education Foundation of Hong Kong, the Southeast University of China, the Chinese University of Hong Kong, and the University of Illinois at Chicago for their financial support. We are also grateful to IEEE Computational Intelligence Society, International Neural Network Society, European Neural Network Society, and Asia Pacific Neural Network Assembly for their technical co-sponsorship. We would like to thank the members of the advisory committee and the steering committee for their support. We would also like to thank the publisher, Springer-Verlag, for cooperation in publishing the proceedings in the prestigious series of Lecture Notes in Computer Science.

Enjoy the symposium!

ISNN 2007 General Chair ISNN 2007 General Co-Chair Derong Liu Marios M. Polycarpou University of Illinois at Chicago, USA University of Cyprus and Yanshan University, China [email protected] [email protected] 2007 INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS

June 3–7, 2007 Mandarin Garden Hotel, Nanjing, China http://liu.ece.uic.edu/ISNN07, http://www2.acae.cuhk.edu.hk/∼isnn2007

ISNN 2007 ORGANIZATION General Chair General Co-Chair Derong Liu Marios M. Polycarpou University of Illinois at Chicago, USA University of Cyprus and Yanshan University, China [email protected] [email protected] Program Chair Program Chair Zeng-Guang Hou Huaguang Zhang Chinese Academy of Sciences Northeastern University, China [email protected] [email protected] Special Sessions Chair Special Sessions Chair Lei Guo Wen Yu Southeast University, China CINVESTAV-IPN, Mexico [email protected] [email protected] Finance Chair Publicity Chair Xinping Guan Changyin Sun Yanshan University, China Hohai University, China [email protected] [email protected] Publicity Co-Chair Publicity Co-Chair Zongli Lin Weixing Zheng University of Virginia, USA University of Western Sydney, Australia [email protected] [email protected] Publications Chair Registrations Chair Jinde Cao Hua Liang Southeast University, China Hohai University, China [email protected] [email protected] Registrations Chair Local Arrangements Chair Bhaskar DasGupta Enrong Wang University of Illinois at Chicago Nanjing Normal University, China [email protected] [email protected] Local Arrangements Chair Local Arrangements Chair Junyong Zhai Shengyuan Xu Southeast University, China Nanjing Univ. of Science and Technology, China [email protected] [email protected] Electronic Review Chair Symposium Secretariats Xiaofeng Liao Ting Huang, Univ. of Illinois at Chicago, USA Chongqing University, China Jinya Song, Hohai University, China xfl[email protected] [email protected], [email protected]

2 Organizing Chair Advisory Committee Chair Shumin Fei Shun-Ichi Amari Southeast University, China RIKEN Brain Science Institute, Japan [email protected] [email protected]

Advisory Committee Chair Advisory Committee Chair Chunbo Feng Zhenya He Southeast University, China Southeast University, China [email protected] [email protected]

Advisory Committee Members Hojjat Adeli Moonis Ali Ohio State University, USA Texas State University-San Marcos, USA [email protected] [email protected] Zheng Bao Tamer Basar Xidian University, China University of Illinois at Urbana-Champaign, USA [email protected] [email protected] Tianyou Chai Guoliang Chen Northeastern University, China University of Science and Technology of China [email protected] [email protected] Ruwei Dai Dominique M. Durand Chinese Academy of Sciences Case Western Reserve University, USA [email protected] [email protected] Russ Eberhart David Fogel Indiana Univ. Purdue Univ. Indpls., USA Natural Selection, Inc., USA [email protected] [email protected] Walter J. Freeman Toshio Fukuda University of California-Berkeley, USA Nagoya University, Japan drwjfi[email protected] [email protected] Kunihiko Fukushima Tom Heskes Kansai University, Japan University of Nijmegen, The Netherlands [email protected] [email protected] Okyay Kaynak Frank L. Lewis Bogazici University, Turkey University of Texas at Arlington, USA [email protected] [email protected] Deyi Li Yanda Li Nat. Natural Science Foundation of China Tsinghua University, China [email protected] [email protected] Ruqian Lu John MacIntyre Chinese Academy of Sciences University of Sunderland, UK [email protected] [email protected] Robert J. Marks II Anthony N. Michel Baylor University, USA University of Notre Dame, USA Robert [email protected] [email protected]

3 Evangelia Micheli-Tzanakou Erkki Oja Rutgers University, USA Helsinki University of Technology, Finland [email protected] [email protected].fi Nikhil R. Pal Vincenzo Piuri Indian Statistical Institute University of Milan, Italy [email protected] [email protected] Jennie Si Youxian Sun Arizona State University, USA Zhejiang University, China [email protected] [email protected] Yuan Yan Tang Tzyh Jong Tarn Hong Kong Baptist University Washington University, USA [email protected] [email protected] Fei-Yue Wang Lipo Wang Chinese Academy of Sciences Nanyang Technological University, Singapore [email protected] [email protected] Shoujue Wang Paul J. Werbos Chinese Academy of Sciences National Science Foundation, USA [email protected] [email protected] Bernie Widrow Gregory A. Worrell Stanford University, USA Mayo Clinic, USA [email protected] [email protected] Hongxin Wu Youlun Xiong Chinese Academy of Space Technology Huazhong Univ. of Science and Technology, China whx [email protected] [email protected] Lei Xu Shuzi Yang Chinese University of Hong Kong Huazhong Univ. of Science and Technology, China [email protected] [email protected] Xin Yao Bo Zhang University of Birmingham, UK Tsinghua University, China [email protected] [email protected] Siying Zhang Nanning Zheng Qingdao University, China Xi’An Jiaotong University, China [email protected] [email protected] Jacek M. Zurada University of Louisville, USA [email protected]

4 Steering Committee Chair Steering Committee Co-Chair Jun Wang Zongben Xu Chinese University of Hong Kong Xi’An Jiaotong University, China [email protected] [email protected]

Steering Committee Members Tianping Chen Andrzej Cichocki Fudan University, China Brain Science Institute, Japan [email protected] [email protected] Wlodzislaw Duch Chengan Guo Nicholaus Copernicus University, Poland Dalian University of Technology, China [email protected] [email protected] Anthony Kuh Xiaofeng Liao University of Hawaii, USA Chongqing University, China [email protected] xfl[email protected] Xiaoxin Liao Bao-Liang Lu Huazhong Univ. Science and Tech., China Shanghai Jiaotong University, China xiaoxin [email protected] [email protected] Chenghong Wang Leszek Rutkowski Nat. Natural Science Foundation of China Technical University of Czestochowa, Poland [email protected] [email protected] Zengqi Sun Donald C. Wunsch II Tsinghua University, China University of Missouri-Rolla, USA [email protected] [email protected] Gary G. Yen Zhang Yi Oklahoma State University, Stillwater, USA Univ. of Electronic Science and Technology, China [email protected] [email protected] Hujun Yin Liming Zhang University of Manchester, UK Fudan University, China [email protected] [email protected] Chunguang Zhou Jilin University, China [email protected]

5 2007 INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS

Program Chair: Zeng-Guang Hou, Chinese Academy of Sciences Program Chair: Huaguang Zhang, Northeastern University, China

ISNN 2007 International Program Committee Members:

Shigeo Abe, Ajith Abraham, Khurshid Ahmad, Angelo Alessandri, Sabri Arik, K. Vijayan Asari, Amit Bhaya, Abdesselam Bouzerdoum, Martin Brown, Ivo Bukovsky, Jinde Cao, Matthew Casey, Luonan Chen, Songcan Chen, Xiao-Hu Chen, Xinkai Chen, Yuehui Chen, Xiaochun Cheng, Zheru Chi, Sung- zoon Cho, Seungjin Choi, Tommy W. S. Chow, Emilio Corchado, Jose Alfredo F. Costa, Mingcong Deng, Shuxue Ding, Meng Joo Er, Deniz Erdogmus, Gary Feng, Jian Feng, Mauro Forti, Wai Keung Fung, Marcus Gallagher, John Qiang Gan, Xiqi Gao, Chengan Guo, Dalei Guo, Ping Guo, Madan M. Gupta, Min Han, Haibo He, Daniel Ho, Dewen Hu, Jinglu Hu, Sanqing Hu, Xuelei Hu, Guang-Bin Huang, Tingwen Huang, Giacomo Indiveri, Malik Magdon Ismail, Danchi Jiang, Joarder Kamruzzaman, Samuel Kaski, Hon Keung Kwan, James Kwok, James Lam, Kang Li, Xiaoli Li, Yangmin Li, Yongwei Li, Yuanqing Li, Hualou Liang, Jinling Liang, Yanchun Liang, Lizhi Liao, Guoping Liu, Ju Liu, Meiqin Liu, Xiangjie Liu, Yutian Liu, Hongtao Lu, Jinhu Lu, Wenlian Lu, Shuxian Lun, Fa-Long Luo, Jinwen Ma, Xiangping Meng, Kevin L. Moore, Ikuko Nishikawa, Stanislaw Osowski, Seiichi Ozawa, Hector D. Patino, Yi Shen, Daming Shi, Yang Shi, Michael Small, Ashu M. G. Solo, Stefano Squartini, Ponnuthurai Nagaratnam Suganthan, Fuchun Sun, Johan A. K. Suykens, Norikazu Takahashi, Ying Tan, Yonghong Tan, Peter Tino, Christos Tjortjis, Antonios Tsourdos, Marc van Hulle, Dan Ventura, Michel Verleysen, Bing Wang, Dan Wang, Pei-Fang Wang, Zhiliang Wang, Si Wu, Wei Wu, Shunren Xia, Yousheng Xia, Cheng Xiang, Daoyi Xu, Xiaosong Yang, Yingjie Yang, Zi-Jiang Yang, Mao Ye, Jianqiang Yi, Dingli Yu, Zhigang Zeng, Guisheng Zhai, Jie Zhang, Liming Zhang, Liqing Zhang, Nian Zhang, Qingfu Zhang, Yanqing Zhang, Yifeng Zhang, Yong Zhang, Dongbin Zhao, Hongyong Zhao, Haibin Zhu.

6 I. SYMPOSIUM HIGHLIGHTS We received a total of 1975 submissions from 55 countries and regions across all six continents. In selecting papers, members of the International Program Committee worked very hard to have all papers reviewed before the review deadline. It is tempting to draw the conclusion that if a paper was not accepted, it must have been judged as a poor or unqualified paper. Although there were such papers submitted to the ISNN 2007, many of the papers that we could not fit into the technical program were fine papers. The final technical program consists of 503 papers among which 262 are accepted as long papers, 192 are accepted as short papers, and 49 are recommended as journal special issue papers. There will be five plenary lectures delivered by S. N. Balakrishnan, Tamer Basar, Tianyou Chai, Deyi Li, and Thomas Parisini, and a plenary panel session chaired by Paul Werbos. There will also be two tutorials delivered by Jay Farrell and Donald C. Wunsch II.

II. SYMPOSIUM REGISTRATION The ISNN 2007 registration desk, located on the second floor outside the Ji Di Hall, will be open during the following hours: Sunday, June 3, 2007, 14:00 – 17:00. Monday, June 4, 2007, 8:30 – 17:00. Tuesday, June 5, 2007, 8:30 – 17:00. Wednesday, June 6, 2007, 8:30 – 15:00. Full registration includes welcome reception, symposium and tutorial attendance, symposium banquet, local tour, and the conference CD-ROM proceedings. Additional sets of CD-ROM proceedings and hardcopy proceedings may be purchased at the registration desk ($70 for CD-ROM proceedings and $80 for one volume of hardcopy proceedings). After the symposium, proceed- ings may be purchased by directly contacting: Springer LNCS online at http://www.springer.com/lncs III. SOCIAL EVENTS Welcome Reception (18:00 – 19:30, Sunday, June 3, 2007). Banquet (18:30 – 21:00, Tuesday, June 5, 2007). Local Day Tour (7:00 – 18:00, Thursday, June 7, 2007).

IV. HOTEL RESERVATIONS Information about the symposium hotel, Mandarin Garden Hotel, is available at http://www.njzyl-hotel.com or by calling the hotel directly at: +86-25-52202555. Information about other hotels can also be found on the symposium website.

V. TRANSPORTATION By Air: There are direct flights from Beijing and other big cities to Nanjing. After arrival in Nanjing Lukou Interna- tional Airport, you can take a taxi to go to the symposium hotel: Madarian Hotel (Zhuang Yuan Lou Fan Dian). By Train: There are hourly trains from Shanghai and nearby cities to Nanjing. After arrival in Nanjing’s train station, you can take a taxi to go to the symposium hotel: Madarian Hotel (Zhuang Yuan Lou Fan Dian).

VI. PLENARY LECTURES (1) Approximate Dynamic Programming and Adaptive Critics by S. N. Balakrishnan, University of Missouri-Rola, USA. Abstract: From the time when Newton was challenged to solve the Brachistochrone problem in 1696 to this day, mankind has been fascinated with the field of optimization and more recently with optimal control. Although prob- lems in many disciplines could easily be posed in an optimal framework, finding tractable and implementable solu- tions is not an easy task. Approximate Dynamic Programming(ADP) offers a computationally feasible framework

7 and an’adaptive critic’ neural architecture presents a feedback controller synthesis. This talk will start with the dual network adaptive critic structure and its evolution to the single network adaptive critic(SNAC) formulation. Solutions to infinite-time optimal control problems(regulators, tracking problems) and finite-time optimization problems(path planning, minimum time problems) and advantages of using the adaptive critics will be discussed. Applications will include vibration control, agile missile trajectories, helicopter control, temperature profile control at high speeds and inventory control. The results shown are drawn from simulations and implementations and the underlying math models are ordinary, partial differential equations and Markov processes. Current research on extensions of the adaptive critic concepts to systems driven by impulse control will also be discussed at the end. (2) Distributed Decision Making, Computation and Consensus by Tamer Basar, University of Illinois at Urbana-Champaign, USA. Abstract: Distributed decision making with decentralized information is a topic that has long been of interest to researchers in several different fields, including control, communications, economics, game theory, biology, and computer science, to list a few. An overarching issue in distributed decision making is how to architect commu- nication (message passing) and coordination networks, with associated protocols, so that they would support with minimum overhead effective, purposeful interactions of agents (decision makers) with private, local information. The goal is for these interactions to lead to a desirable outcome that would have been achieved if the totality of the information available to the agents had been shared and centrally utilized at the outset. Some typical outcomes in this context are the optimal solution in a stochastic team, Nash equilibrium in a stochastic game, robust decentralized controller in a large scale system, optimum detection policy in a decentralized hypothesis testing problem, and fair allocation of bandwidth in a communication network. Recently, computation of the average has emerged as provid- ing a simple yet broadly applicable paradigm for such problems, with applications ranging from information fusion in sensor networks, and load balancing in processor networks, to clock synchronization, and multi-agent coordina- tion and flocking. In its simplest form, this involves a distributed network of agents, each of which initially has a numerical value, which they update iteratively employing a distributed averaging algorithm built on the messages received from neighbors. Consensus is reached when all agents agree on the true value of the average. This plenary talk will first provide a relatively broad perspective on distributed decision making or computation with decentral- ized information. Subsequently, it will discuss the distributed averaging problem on arbitrary connected graphs, particularly when communication links are subject to finite rate constraints, which necessitates quantization of the numerical values being exchanged and stored. Such a discretized distributed averaging problem models several scenarios of interest, such as averaging in a network with finite capacity channels and load balancing in processor networks. The talk will present randomized, fully distributed algorithms which achieve consensus to the extent that the discrete nature of the problem permits. It will also provide, for some special networks, bounds on the expected convergence time of these algorithms, which are polynomial in the number of nodes,. The talk will conclude with some open problems in this area. (3) A Hybrid Intelligent Optimal Control Method for the Whole Production Line and Applications by Tianyou Chai, Northeastern University, China. Abstract: With ever increased needs for an improved product quality, production efficiency, and cost in today’s globalized world market, advanced process control should not only realize the accuracy of each control loops, but also has the ability to achieve an optimization control of global production indices that are closely related to the improved product quality, enhanced production efficiency and reduced consumption. As a result, the optimal control for the global production indices has attracted an increased attention of various process industries. The optimal con- trol of the global production indices requires an optimal combination of the production indices, technical indices and the operation of each control loops. In this paper, a hybrid intelligent control strategy is proposed for process indus- tries. This new strategy consists of three control layers, namely the intelligent optimization of the global production indices, the intelligent optimal control of the technical indices and the intelligent process control,. The intelligent optimization of the global production indices is composed of the setting model of the technical indices, the predictor of the global production indices, the feedback and prediction analysis adjustment models. The intelligent optimal control of the technique indices consists of the setpoints model of control loops, the prediction of technical indices,

8 the feedback and feedfoword regulators. The intelligent process control is then composed of normal decoupled PID controllers, decoupled nonlinear PID controllers with a neural network feedforword compersator for un-modeled dynamics and a switching mechanism. Such a control structure can automatically transfer the global production indices into a required number of setpoints for each control loops. Moreover, when the system is subjected to either operating point changes or unexpected disturbances, setpoints of the control loops can be adaptively updated and the outputs of the control loops are made to follow the updated setpoints so that the global production indices can be con- trolled into their targeted ranges to realize the optimization control of the global production indices. The proposed method has been successfully applied to the largest hematite minerals processing factory in China, where remarkable social and economic benefits have been achieved. Such an industrial application has successfully demonstrated the performance of the proposed optimal control method which will therefore has a high potential for further and much wider applications. (4) Network Thinking & Network Intelligence by Deyi Li, National Natural Science Foundation of China. Abstract: Network becomes the engine of scientific research activities in the 21st century, and the hot topic across disciplines. It challenges traditional logic thinking and symbolic problem solving which is developed in the 50-year history of AI. Network thinking, a special form of visual thinking, is a thinking behavior based on two-dimensional topology and typical characteristics, while logic thinking is usually based on one-dimensional language, such as symbolic logic and predicate calculus. Network intelligence, differing from intelligence network and distributed intelligence, takes network topology as knowledge representation. (5) Neural Approximations for Distributed-Information Control of Nonlinear Stochastic Systems by Thomas Parisini, University of Trieste, Italy. Abstract: In engineering and economic systems, many situations may occur, in which a process is influenced by the presence of several decision makers (DM). Different degrees of cooperation and different degrees of distribution of available information among the decision makers are possible. In this lecture, we consider the case where various DMs share different information patterns but they make decisions aimed at the accomplishment of a common goal, i.e., the minimization of the same cost functional. Such an organization can be accurately described within the well known framework of “team theory”. Typical examples of team organizations can be encountered in: communication and computer networks extending in large geographical areas where several routing nodes cooperate on the overall performance; large-scale traffic systems when a metropolitan area is divided into relatively independent sectors; large-scale freeway systems; production plants in which mobile robots moving semi-finished products have to be coordinated; geographically distributed systems for the production of electrical energy; etc. A general approach to the solution of a team optimal decision problem has not yet been presented in the literature. Therefore, in this lecture we give up looking for optimal solutions to a general team optimal control problem, and propose a technique to obtain suboptimal (but approximate to any degree of accuracy) solutions. This is accomplished by constraining the control functions to take on a fixed structure with a certain number of “free” parameters to be optimized according to the Extended Ritz Method (ERIM). Among the various possible fixed-structure functions, feedforward neural networks are chosen for their powerful approximation capabilities and because these functional structures allow for a simple distributed computation of the local control strategies by stochastic approximation techniques. The neural control methodology is worked out on two important benchmark problems. A simple team within the LQG framework is first considered, where two decision makers with scalar information are present. When the problem admits a known optimal solution, our approach has demonstrated to be able to approximate it. Quite satisfactory results were obtained also in a case (the well-known Witsenhausen counterexample) where the optimal solution has not yet been found (it is however known that it exists). Then, dynamic routing in communication networks is considered. A nonlinear discrete-time dynamic model is given for a store-and-forward packet switching network in which the routing nodes play the role of cooperating DMs of a team. The resulting problem does not verify either the LQG hypotheses or the partially nestedness assumption on the information structure. The ERIM has demonstrated to be effective also in this application.

9 VII. TUTORIALS (1) Self-Organizing Approximation Based Control by Jay A. Farrell, University of California, Riverside, CA 92521, USA. Abstract: Nonlinear dynamics and model uncertainty exist in all physical plants and must be addressed directly by the control system when a high level of performance is desired. This workshop will discuss self-organizing adap- tive approximation based control algorithms designed to achieve stability and accurate reference input tracking for nonlinear systems with modeling uncertainty. Within this context the workshop will distinguish between adaptation, learning, and self-organization. It will also discuss how the objective of learning can be achieved by implementing approximations to unknown functions within the model or controller during on-line operation. Typical adaptive approximation based controllers use approximators with a predefined set of basis functions. The designer must therefore over design the approximator structure to guarantee that desired approximation accuracy is achievable for the unknown nonlinearities. Self-organizing approximation based control defines and adapts both the approxima- tor structure and its parameters during on-line operation. This offers the potential for increased performance with fewer computational resources. This workshop will review previously existing trajectory exploration dependent self-organizing approximators where new locally supported basis elements were incorporated when existing basis elements are insufficiently excited. The workshop will also present a novel performance-dependent self-organizing approximator approach that has been recently developed. (2) Neural Nets are Still Our Best Hope for Computational Intelligence by Donald C. Wunsch II, University of Missouri-Rolla, USA. Abstract: As neural nets have matured, many subfields have taken on a substantial life of their own. The tutorial will argue that this is a necessary and healthy development, and that such subfields still have profound mutual dependencies on the rest of neurally-inspired research. Furthermore, much work remains in traditional neural net design – work that promises substantial progress for engineering applications. This tutorial will point out a few such directions and their motivations.

VIII. INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS – PAST AND PRESENT 2004 International Symposium on Neural Networks GC: Fuliang Yin; Co-GC: Jun Wang PC: Chengan Guo; Co-PCs: Andrzej Cichocki and Mingsheng Zhao Dalian, China August 19–21, 2004. 2005 International Symposium on Neural Networks GC: Jun Wang PCs: Xiaofeng Liao and Yi Zhang Chongqing, China May 30–June 1, 2005. 2006 International Symposium on Neural Networks GCs: Jun Wang, Zhang Yi, and Jacek M. Zurada PCs: Bao-Liang Lu and Hujun Yin Chengdu, China May 28–June 1, 2006. 2007 International Symposium on Neural Networks GC: Derong Liu; Co-GC: Marios M. Polycarpou PCs: Zeng-Guang Hou and Huaguang Zhang Nanjing, China June 3–7, 2007.

10 TECHNICAL PROGRAM

2007 INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS

June 3–7, 2007 Nanjing, China

ISNN 2007 PROGRAM AT A GLANCE

Conference Room Location Guide:

1: Ji Di Hall is on the second floor behind the registration desk. 2: Hou Men Hall and Wang Fu Hall are on the second floor on the side of Ji Di Hall. 3: Room B, Room C, and Room D are on the third floor above Ji Di Hall. 4: Humphrey’s Restraunt is on the first floor in the hotel lobby.

Sunday, June 3, 2007

13:30 – 15:30 Tutorial Room D 3rd floor Self-Organizing Approximation Based Control by Jay A. Farrell

15:30 – 17:30 Tutorial Room D 3rd floor Neural Nets are Still Our Best Hope for Computational Intelligence by Donald C. Wunsch II

18:00 – 19:30 Welcome Reception Ji Di Hall

11 Monday, June 4, 2007

8:30 – 8:45 Opening Remarks Ji Di Hall

8:45 – 9:45 Plenary Lecture: Tamer Basar Ji Di Hall Distributed Decision Making, Computat ion and Consensus

9:45 – 10:45 Plenary Lecture: Tianyou Chai Ji Di Hall A Hybrid Intelligent Optimal Control Method for the Whole Production Line and Applications

11:15 – 12:15 Plenary Lecture: Thomas Parisini Ji Di Hall Neural Approximations for Distributed-Information Control of Nonlinear Stochastic Systems

12:30 – 13:50 Lunch Humphrey’s Restraunt

14:00 – 16:00 Lecture Sessions

Hou Men Hall Wang Fu Hall Room B Room C Room D MP01 MP02 MP03 MP04 MP05 stability of neural network robotics neural fuzzy SOMs neural learning control networks

16:00 – 18:00 Interactive Sessions mathematics of nns, feedforward nns, fuzzy neural syss, applications, pattern recognition

12 Tuesday, June 5, 2007

8:30 – 9:30 Plenary Lecture: Deyi Li Ji Di Hall Network Thinking & Network Intelligence

9:30 – 10:30 Plenary Lecture: S. N. Balakrishnan Ji Di Hall Approximate Dynamic Programming and Adaptive Critics

10:50 – 12:30 Plenary Panel Session: Paul Werbos Ji Di Hall Future of Neural Networks Research

12:40 – 13:50 Lunch Humphrey’s Restraunt

14:00 – 16:00 Lecture Sessions

Hou Men Hall Wang Fu Hall Room B Room C Room D TP01 TP02 SP01 TP04 TP05 recurrent control extreme adaptive pattern neural applications learning dynamic recognition networks machine programming

16:00 – 18:00 Interactive Sessions nn learning, SVMs, nn architectures, nn for signal processing, nn applications

18:30 – 21:00 Banquet Ji Di Hall

13 Wednesday, June 6, 2007

8:30 – 10:30 Lecture Sessions

Hou Men Hall Wang Fu Hall Room B Room C Room D WA01 WA02 WA03 WA04 WA05 feedforward nonlinear neurodynamics machine chaos and neural systems learning synchronization networks modeling

10:50 – 12:30 Lecture Sessions

Hou Men Hall Wang Fu Hall Room B Room C Room D WM01 WM02 WM03 WM04 WM05 optimization SVMs data mining biomedical communications and feature applications and signal extraction processing

12:40 – 13:50 Lunch Humphrey’s Restraunt

14:00 – 16:00 Lecture Sessions

Hou Men Hall Wang Fu Hall Room B Room C Room D WP01 WP02 WP03 WP04 WP05 theory of neural network image and fault diagnosis neural fuzzy neural architectures video and detection systems networks processing

16:00 – 18:00 Interactive Sessions nn for controls, nn for robotics, industrial applications, nn for pattern recognition, nn for SP

14 14:00 ISNN 2007 New Criteria for Robust Stability of Cohen-Grossberg Neural Monday, June 4, 2007 Networks with Multiple Delays [#1-04-0034] Ce Ji, Huaguang Zhang, Huan-Xin Guan Ji Di Hall 14:20 8:30 – 8:45 Periodic Solution of Cohen-Grossberg Neural Networks with Opening Remarks Variable Coefficients [#1-04-0025] Symposium organizers and the Hongjun Xiang, Jinde Cao President of Southeast University, China 14:40 Global Asymptotic Stability of Cohen-Grossberg Neural Net- Ji Di Hall 8:45 – 9:45 works with Mixed Time-Varying Delays [#1-04-0052] Plenary Lecture Haijun Jiang, Xuehui Mei Distributed Decision Making, 15:00 Computation and Consensus Positive Invariant and Global Exponential Attractive Sets of Professor Tamer Basar Neural Networks with Time-Varying Delays [#1-04-0001] University of Illinois at Urbana-Champaign Xiaoxin Liao, Qi Luo, Zhigang Zeng Chair: Liu, Derong University of Illinois at Chicago 15:20 Co-Chair: Farrell, Jay A. Univ. California, Riverside Stability Analysis of High-Order Hopfield Type Neural Net- works with Uncertainty [#1-04-0048] Ji Di Hall Bingji Xu, Qun Wang, Xiaoxin Liao 9:45 – 10:45 15:40 Plenary Lecture Global Exponential Stability of a Clss of BAM Networks with A Hybrid Intelligent Optimal Control Method for Time-Varying Delays and Continuously Distributed Delays the Whole Production Line and Applications [#1-04-0019] Professor Tianyou Chai Baoxian Wang, Jigui Jian, Chuande Guo Northeastern University of China MP02 Wang Fu Hall Chair: Polycarpou, Marios M. University of Cyprus Neural Network Learning Lecture Session Co-Chair: Cao, Jinde Southeast University China Chair: Starzyk, Janusz A. 10:45 – 11:15 Coffee Break Co-Chair: Wang, Lei

Ji Di Hall 14:00 11:15 – 12:15 Sparse Coding in Sparse Winner Networks [#2-01-0027] Plenary Lecture Janusz A. Starzyk, Yinyin Liu, Neural Approximations for Distributed-Information David Vogel Control of Nonlinear Stochastic Systems 14:20 Professor Thomas Parisini Learning Dynamic Bayesian Networks Structure Based on University of Trieste, Italy Bayesian Optimization Algorithm [#2-09-0004] Chair: Wunsch, Donald C. University of Missouri-Rolla Song Gao, Qinkun Xiao, Quan Pan, Co-Chair: Hou, Zeng-Guang Chinese Academy of Sciences Qingguo Li 14:40 Humphrey’s Restraunt Extensions of Manifold Learning Algorithms in Kernel Fea- 12:30 – 13:50 Lunch ture Space [#2-12-0022] Yaoliang Yu, Peng Guan, Liming Zhang Afternoon Lecture Sessions 14:00 – 16:00, Monday, June 4, 2007 15:00 A Hierarchical Learning System Incorporating with Super- MP01 Hou Men Hall vised, Unsupervised and Reinforcement Learning Stability Analysis of Neural Networks Lecture Session [#2-01-0015] Jinglu Hu, Takafumi Sasakawa, Kotaro Hirasawa, Chair: Liao, Xiaoxin Huiru Zheng Co-Chair: Zhang, Huaguang

15 15:20 Time-Varying Delays and Sector Bounded Perturbations FNN (Feedforward Neural Network) Training Method Based [#3-09-0046] on Robust Recursive Least Square Method [#2-01-0007] Qing Zhu, Shumin Fei, Tao Li, Tianping Zhang Jun-Seok Lim, Koengmo Sung 14:40 15:40 A Novel Cross Layer Power Control Game Algorithm Based A Multi-Stage Competitive Neural Networks Approach for on Neural Fuzzy Connection Admission Controller in Cellular Motion Trajectory Pattern Learning [#3-06-0031] Ad Hoc Networks [#3-07-0033] Hejin Yuan Yong Wang, Dongfeng Yuan, Yingji Zhong 15:00 MP03 Room B Switching Set-Point Control of Nonlinear System Based on Robotics Lecture Session RBF Neural Network [#3-09-0066] Chair: Li, Yangmin Xiaoli Li Co-Chair: Cai, Zixing 15:20 14:00 GA-Based Adaptive Fuzzy-Neural Control for a Class of Mobile Robot Self-Localization Based on Feature Extraction MIMO Systems [#3-09-0099] of Laser Scanner Using Self-Organizing Feature Mapping Yih-Guang Leu, Chin-Ming Hong, [#3-09-0116] Hong-Jian Zhon Jinxia Yu, Zixing Cai, Zhuohua Duan 15:40 14:20 Filtered-X Adaptive Neuro-Fuzzy Inference System for Non- Neural Network-Based Robust Tracking Control for Nonholo- linear Active Noise Control [#3-09-0097] nomic Mobile Robot [#3-09-0074] Riyanto Bambang Jinzhu Peng, Yaonan Wang, Hongshan Yu MP05 Room D 14:40 Self-Organizing Maps Lecture Session Plan on Obstacle-Avoiding Path for Mobile Robots Based on Chair: Zheng, Chaoxin Artificial Immune Algorithm [#2-09-0061] Co-Chair: Ding, Mingwei Yen-Nien Wang, Tsai-Sheng Lee, Teng-Fa Tsao 15:00 14:00 A 3-PRs Parallel Manipulator Control Based on Neural Net- Hybrid Pipeline Structure for Self-Organizing Learning Array work [#3-09-0120] [#3-14-0002] Qingsong Xu, Yangmin Li Janusz A. Starzyk, Mingwei Ding, Yinyin Liu 15:20 Neural Network Based Kinematic Control of the Hyper 14:20 -Redundant Snake-Like Manipulator [#3-09-0024] CSOM for Mixed Data Types [#2-03-0027] Jinguo Liu, Yuechao Wang, Bin Li, Shugen Ma Fedja Hadzic, Tharam Dillon 15:40 14:40 Monocular Vision Based Obstacle Detection for Robot Navi- A Structural Adapting Self-Organizing Maps Neural Network gation in Unstructured Environment [#3-03-0026] [#2-03-0018] Yehu Shen, Xin Du, Jilin Liu Xinzheng Xu, Wenhua Zeng, Zuopeng Zhao

MP04 Room C 15:00 Neural Fuzzy Control Lecture Session Hierarchical SOMs Segmentation of Cell Migration Images [#3-03-0181] Chair: Li, Xiaoli Chaoxin Zheng, Khurshid Ahmad, Co-Chair: Kaynak, Okyay Aideen Long, Yuri Volkov, Anthony Davies, Dermot Kelleher 14:00 Adaptive Neuro-Fuzzy Inference System Based Autonomous 15:20 Flight Control of Unmanned Air Vehicles [#2-05-0050] Edge Detection Combined Entropy Threshold and Self Sefer Kurnaz, Okyay Kaynak, Ekrem Konakoglu -Organizing Map (SOM) [#3-03-0118] Kun Wang, Liqun Gao, Zhaoyu Pian, Li Guo, 14:20 Jianhua Wu Robust Neural Networks Control for Uncertain Systems with

16 15:40 16:00 – 18:00 A Multi-Scale Dynamically Growing Hierarchical Self Novel Global Asymptotic Stability Conditions for Hopfield -Organizing Map for Brain MRI Image Segmentation Neural Networks with Time Delays [#1-04-0015] [#3-13-0025] Ming Gao, Baotong Cui, Li Sheng Jingdan Zhang, Daoqing Dai 16:00 – 18:00 Convergence of a Recurrent Neural Network for Nonconvex Interactive Sessions Optimization Based on an Augmented Lagrangian Function 16:00 – 18:00, Monday, June 4, 2007 [#3-05-0013] Xiaolin Hu, Jun Wang MI01 Hou Men Hall Mathematics of Neural Networks Interactive Session 16:00 – 18:00 Existence and Stability of Periodic Solution of Chair: Liu, Meiqin Non-Autonomous Neural Networks with Delay [#1-04-0028] Co-Chair: Liao, Xiaoxin Minghui Jiang, Xiaohong Wang, Yi Shen 16:00 – 18:00 16:00 – 18:00 Periodicity of Recurrent Neural Networks with Reaction LMI-Based Approach for Global Asymptotic Stability Anal- -Diffusion and Dirichlet Boundary Conditions [#1-04-0056] ysis of Discrete-Time Cohen-Grossberg Neural Networks Chaojin Fu, Chongjun Zhu, Boshan Chen [#1-04-0035] Sida Lin, Meiqin Liu, Yanhui Shi, Jianhai Zhang, Yaoyao 16:00 – 18:00 Zhang, Two Theorems on the Robust Designs for Pattern Matching Gangfeng Yan Celluar Neural Networks [#1-01-0015] Bing Zhao, Weidong Li, Shu Jian, Lequan Min 16:00 – 18:00 Existence and Stability of Periodic Solutions for 16:00 – 18:00 Cohen-Grossberg Neural Networks with Less Restrictive Am- Positive Solutions of General Delayed Competitive or Coop- plification [#1-04-0050] erative Lotka-Volterra Systems [#1-01-0019] Haibin Li, Tianping Chen Wenlian Lu, Tianping Chen 16:00 – 18:00 16:00 – 18:00 Global Exponential Convergence of Time-Varying Delayed The Estimate for Approximation Error of Neural Networks: Neural Networks with High Gain [#1-04-0051] A Constructive Approach [#1-02-0018] Lei Zhang, Zhang Yi Feilong Cao, Tingfan Xie, Zongben Xu 16:00 – 18:00 16:00 – 18:00 Robust Impulsive Synchronization of Coupled Delayed Neu- Global Asymptotic Stability of Cellular Neutral Networks with ral Networks [#1-01-0020] Variable Coefficients and Time-Varying Delays [#1-04-0004] Lan Xiang, Jin Zhou, Zengrong Liu Yonggui Kao, Cunchen Gao, Lijing Zhang 16:00 – 18:00 16:00 – 18:00 Stabilization by Conceptual Duplication in Adaptive Reso- Stochastic Stabilization of Delayed Neural Networks nance Theory [#3-06-0152] [#1-04-0008] Louis Massey Wudai Liao, Jinhuan Chen, Yulin Xu, Xiaoxin Liao 16:00 – 18:00 16:00 – 18:00 Global Asymptotical Stability of Internet Congestion Control Global Exponential Synchronization of Chaotic Neural Net- [#1-04-0012] works with Time Delays [#1-04-0010] Hong-Yong Yang, Fu-Sheng Wang, Xun-Lin Zhu, Jigui Jian, Baoxian Wang, Xiaoxin Liao Si-Sing Zhang 16:00 – 18:00 16:00 – 18:00 Some New Stability Conditions of Delayed Neural Networks Stabilizing Lagrange-Type Nonlinear Programming Neural with Saturation Activation Functions [#1-04-0031] Networks [#1-04-0060] Wudai Liao, Dongyun Wang, Jianguo Xu, Xiaoxin Liao Yuancan Huang 16:00 – 18:00 16:00 – 18:00 Stability Analysis of Generalized Nonautonomous Cellular Regularization Versus Dimension Reduction, Which Is Bet- Neural Networks with Time-Varying Delays [#1-04-0032] ter? [#2-09-0100] Xiaobing Nie, Jinde Cao, Min Xiao Yunfei Jiang, Ping Guo

17 16:00 – 18:00 MI02 Wang Fu Hall Batch-to-Batch Control of Fed-Batch Processes Using Control- Feedforward Neural Networks Interactive Session Affine Feedforward Neural Network [#3-10-0069] Zhihua Xiong, Jie Zhang Chair: Zhou, Chunguang Co-Chair: Hou, Zhongsheng 16:00 – 18:00 Efficient Motion Estimation Scheme for H.264 Based on BP 16:00 – 18:00 Neural Network [#3-03-0091] Approximation Property of Weighted Wavelet Neural Wei Zhou, Hao Shan Shi, Zhe Min Duan, Networks [#1-02-0009] Xin Zhou Shousong Hu, Xia Hou, Junfeng Zhang 16:00 – 18:00 16:00 – 18:00 Hand Tremor Classification Using Bispectrum Analysis of Ac- Uniform Approximation Capabilities of Sum-of-Product and celeration Signals and Back-Propagation Neural Network Sigma-Pi-Sigma Neural Networks [#1-02-0015] [#3-13-0108] Jinling Long, Wei Wu, Dong Nan Lingmei Ai, Jue Wang, Liyu Huang, 16:00 – 18:00 Xuelian Wang A New BP Network Based on Improved PSO Algorithm and 16:00 – 18:00 its Application on Fault Diagnosis of Gas Turbine Stock Index Prediction Based on Adaptive Training and Prun- [#2-01-0032] ing Algorithm [#3-11-0018] Wei Hu, Jingtao Hu Jinyuan Shen, Huaiyu Fan, Shengjiang Chang 16:00 – 18:00 MI03 Room B Greenhouse Air Temperature and Humidity Prediction Based Fuzzy Neural Systems Interactive Session on Improved BP Neural Network and Genetic Algorithm [#2-01-0010] Chair: Li, Shaoyuan Fen He, Chengwei Ma, Junxiong Zhang, Ying Chen Co-Chair: Er, Meng Joo 16:00 – 18:00 16:00 – 18:00 The Evaluation of BP-ISP Strategy Alignment Degree with Global Exponential Stability of Fuzzy Cohen-Grossberg Neu- PSO-Based ANN [#2-07-0022] ral Networks with Variable Delays [#1-04-0020] Lei Wen Jiye Zhang, Keyue Zhang, Dianbo Ren 16:00 – 18:00 16:00 – 18:00 Study on Relationship Between NIHSS and TCM-SSASD Multi-Granular Control of Double Inverted Pendulum Based Based on the BP Neural Network Multiple Models Method on Universal Logics Fuzzy Neural Networks [#2-05-0018] [#3-04-0011] Bin Lu, Juan Chen Yanxin Zhang, Junfeng Xu, Ying Gao, Zhongsheng Hou 16:00 – 18:00 16:00 – 18:00 Type-2 Fuzzy Neuro System via Input-to-State-Stability Ap- A New Text Detection Approach Based on BP Neural Net- proach [#2-05-0057] work for Vehicle License Plate Detection in Complex Back- Ching-Hung Lee, Yu-Ching Lin ground [#3-03-0069] Yanwen Li, Meng Li, Yinghua Lu, Ming Yang, 16:00 – 18:00 Chunguang Zhou On-Line T-S Fuzzy Model Identification with Growing and Pruning Rules [#2-05-0041] 16:00 – 18:00 Longtao Liao, Shaoyuan Li Deformation Measurement of the Large Flexible Surface by Improved RBFNN Algorithm and BPNN Algorithm 16:00 – 18:00 [#3-13-0030] Fuzzy Random Dependent-Chance Bilevel Programming with Xiyuan Chen Applications [#3-05-0120] Rui Liang, Jinwu Gao, Kakuzo Iwamura 16:00 – 18:00 Temperature-Variation Fault Diagnosis of the High-Voltage 16:00 – 18:00 Electric Equipment Based on the BP Neural Network Hardware Design of an Adaptive Neuro-Fuzzy Network with [#3-13-0121] On-Chip Learning Capability [#3-14-0023] Zhen-Yu Wang, Yong-Wei Li, Peng Guo, Tzu-Ping Kao, Chun-Chang Yu, Ting-Yu Chen, Xiao-Fang Yu Jeen-Shing Wang

18 16:00 – 18:00 Xu Xu, Yuxiao Zhang, Yanchun Liang, Xiaowei Yang, The Research of Decision Information Fusion Algorithm Based Zhifeng Hao on the Fuzzy Neural Networks [#2-05-0032] 16:00 – 18:00 Peigang Sun, Hai Zhao, Xiaodan Zhang, Jiuqiang Xu, A Hybrid Knowledge-Based Neural-Fuzzy Network Model Zhenyu Yin, Xiyuan Zhang with Application to Alloy Property Prediction [#2-05-0046] 16:00 – 18:00 Minyou Chen, Quandi Wang, Yongming Yang Simultaneous Optimization of ANFIS-Based Fuzzy Model 16:00 – 18:00 Driven to Data Granulation and Parallel Genetic Algorithms Adaptive Nonlinear Control Using TSK-Type Recurrent Fuzzy [#2-07-0025] Neural Network System [#2-05-0056] Jeoung-Nae Choi, Sung-Kwun Oh, Ki-Sung Seo Ching-Hung Lee, Ming-Hui Chiu 16:00 – 18:00 16:00 – 18:00 Comparative Studies of Fuzzy Genetic Algorithms A Nonlinear ANC System with a SPSA-Based Recurrent Fuzzy [#3-05-0059] Neural Network Controller [#3-02-0002] Qing Li, Yixin Yin, Zhiliang Wang, Qizhi Zhang, Yali Zhou, Xiaohe Liu Guangjun Liu 16:00 – 18:00 16:00 – 18:00 Ultrasound Estimation of Fetal Weight with Fuzzy Support Fuzzy Optimization Problems with Critical Value-at-Risk Cri- Vector Regression [#3-13-0031] teria [#3-05-0122] Jinhua Yu, Yuanyuan Wang, Ping Chen, Yan-Kui Liu, Zhi-Qiang Liu Yuehua Song 16:00 – 18:00 A Self-Organizing Fuzzy Neural Network and its Applica- MI04 Room C tions [#2-03-0005] Neural Network Applications I Interactive Session Junfei Qiao, Huidong Wang Chair: Squartini, Stefano 16:00 – 18:00 Co-Chair: Joseph C. Chen A Neural-Fuzzy Pattern Recognition Algorithm Based Cut- ting Tool Condition Monitoring Procedure [#3-06-0047] 16:00 – 18:00 Pan Fu, Tony Hope Implementation of Brillouin-Active Fiber for Low Threshold Optical Logic and Memory Based Neural Networks in Smart 16:00 – 18:00 Structures [#3-14-0025] Neurofuzzy Power Plant Predictive Control [#3-08-0029] Yong-Kab Kim, Jong Goo Park, Xiangjie Liu, Jizhen Liu Kwan W. Kim 16:00 – 18:00 16:00 – 18:00 Fuzzy Neural Petri Nets [#3-13-0093] Artificial-Neural-Networks Based Surface Roughness Hua Xu, Yuan Wang, Peifa Jia Pokayoke System for End-Milling Operations [#3-10-0065] 16:00 – 18:00 Joseph Chen, Bernie Huang, Ye Li Synchronization of Impulsive Fuzzy Cellular Neural Networks 16:00 – 18:00 with Parameter Mismatches [#1-01-0021] Human Sensibility Evaluation Using Neural Network and Tingwen Huang, Chuandong Li Multiple-Template Method on Electroencephalogram (EEG) 16:00 – 18:00 [#3-13-0101] Equalization of Channel Distortion by Using Nonlinear Neuro- Dong-Jun Kim, Seung-Jin Woo, Jeong-Whan Lee, Fuzzy Network [#3-02-0079] Kyeong-Seop Kim Rahib Abiyev, Fakhreddin Mamedov, 16:00 – 18:00 Tayseer Al-Shanableh A Clustering-Based Approach for Inferring Recurrent Neural 16:00 – 18:00 Networks as Gene Regulatory Networks [#3-12-0004] A Novel Approach for Extraction of Fuzzy Rules Using the Wei-Po Lee, Kung-Cheng Yang Neuro-Fuzzy Network and its Application in the Blending 16:00 – 18:00 Process of Raw Slurry [#3-13-0052] Echo State Networks for Real-Time Audio Applications Rui Bai, Tianyou Chai, Enjie Ma [#2-02-0015] 16:00 – 18:00 Stefano Squartini, Stefania Cecchi, Michele Rossini, Identification and Control of Ultrasonic Motors Based on Im- Francesco Piazza proved Fuzzy Neural Networks [#2-05-0039]

19 16:00 – 18:00 Development of Artificial Neural Networks-Based In-Process MI05 Room D Flash Monitoring (ANN-IPFM) System in Injection Molding Neural Networks for Interactive Session [#3-10-0001] Pattern Recognition I Joseph C. Chen, Mandara Savage, James Zhu Chair: Chen, Yuehui 16:00 – 18:00 Co-Chair: Zhang, Yi Driving Load Forecasting Using Cascade Neural Networks [#3-13-0072] 16:00 – 18:00 Zhancheng Wang, Guoqing Xu, Weimin Li, A Neural Network Approach for DOA Estimation of Ultra Yangsheng Xu Wideband Antenna Array [#3-02-0051] Min Wang, Shun Jun Wu, Shuyuan Yang 16:00 – 18:00 An Empirical Comparison of Min-Max-Modular K-NN with 16:00 – 18:00 Different Voting Methods to Large-Scale Text Categorization An Improve to Human Computer Interaction, Recovering Data [#3-04-0108] From Databases Through Spoken Natural Language Ke Wu, Bao-Liang Lu [#3-02-0071] Omar Florez-Choque, Ernesto Cuadros-Vargas 16:00 – 18:00 Hybrid Systems and Artificial Immune Systems: 16:00 – 18:00 Performances and Applications to Biomedical Research A Novel Ensemble Approach for Cancer Data Classification [#1-03-0020] [#3-12-0010] Vitoantonio Bevilacqua, Cosimo Giovanni De Musso, Yaou Zhao, Yuehui Chen, Xueqin Zhang Giuseppe Mastronardi, Filippo Menolascina, 16:00 – 18:00 Antonio Pedone Novel Shape-from-Shading Methodology with Specular Re- 16:00 – 18:00 flectance Using Wavelet Networks [#3-03-0103] Genetic Algorithm Based Neural Network Model for Lei Yang, Jiu-Qiang Han Factor Subset Selection in Salmonella Typhimurium 16:00 – 18:00 Infections [#2-01-0043] The Evaluation Measure of Text Clustering for the Variable Lixu Qin, Simon Yang, Frank Pollari, Kathryn Dore, Number of Clusters [#3-04-0092] Aamir Fazil, Rafiq Ahmed Taeho Jo, Malrey Lee 16:00 – 18:00 16:00 – 18:00 Stock Prediction Using FCMAC-BYY [#2-05-0004] Prediction of Helix, Strand Segments From Primary Protein Jiacai Fu, Kok Siong Lum, Minh Nhut Nguyen, Sequences by a Set of Neural Networks [#3-12-0012] Juan Shi Zhuo Song, Ning Zhang, Zhuo Yang, 16:00 – 18:00 Tao Zhang Minimal Resource Allocation on Can Bus Using Radial Basis 16:00 – 18:00 Function Networks [#2-07-0028] Recursive Bayesian Linear Discriminant for Classification Hao Wei Yan, Mu-Song Chen, Chuan Ku Lin, [#2-14-0030] Chi-Pan Hwang Dong Huang, Cheng Xiang 16:00 – 18:00 16:00 – 18:00 The Effect of Recording Reference on EEG: Phase Synchrony Multiple Signal Classification Based on Genetic Algorithm and Coherence [#2-11-0010] for MEG Sources Localization [#3-13-0035] Sanqing Hu, Matt Stead, Andrew Gardner, Chenwei Jiang, Jieming Ma, Bin Wang, Gregory Worrell Liming Zhang 16:00 – 18:00 16:00 – 18:00 Searching Eye Centers Using a Context-Based Neural Net- An Artificial Immune Network Model Applied to Data Clus- work [#3-03-0167] tering and Classification [#2-09-0087] Jun Miao, Laiyun Qing, Lijuan Duan, Wen Gao Chenggong Zhang, Zhang Yi 16:00 – 18:00 16:00 – 18:00 Fast Code Detection Using High Speed Time Delay Neural Biological Inspired Global Descriptor for Shape Matching Networks [#3-07-0058] [#3-03-0125] Hazem El-Bakry, Nikos Mastorakis Yan Li, Siwei Luo, Qi Zou

20 16:00 – 18:00 Clustering-Based Reference Set Reduction for K-Nearest ISNN 2007 Neighbor [#3-04-0095] Tuesday, June 5, 2007 Seong-Seob Hwang, Sungzoon Cho 16:00 – 18:00 Ji Di Hall Classification of Obstructive Sleep Apnea by Neural Networks 8:30 – 9:30 [#2-03-0025] Plenary Lecture Zhongyu Pang, Derong Liu, Stephen Lloyd Network Thinking & Network Intelligence 16:00 – 18:00 Professor Deyi Li Development of the Multi-Target Tracking Scheme Using Par- National Natural Science Foundation of China ticle Filter [#2-08-0009] Chair: Wang, Jun Chinese Univ. of Hong Kong Yang Weon Lee Co-Chair: Fei, Shumin Southeast University, China 16:00 – 18:00 Ji Di Hall Discriminant Analysis with Label Constrained Graph Parti- 9:30 – 10:30 tion [#3-06-0104] Plenary Lecture Peng Guan, Yaoliang Yu, Liming Zhang Approximate Dynamic Programming 16:00 – 18:00 and Adaptive Critics Facial Expression Analysis on Semantic Neighborhood Pre- Professor S. N. Balakrishnan serving Embedding [#3-06-0163] University of Missouri-Rolla, USA Shuang Xu, Yunde Jia, Youdong Zhao Chair: Zhang, Huaguang Northeastern Univ. China 16:00 – 18:00 Co-Chair: Sun, Changyin Southeast University China Pattern-Oriented Agent-Based Modeling for Financial Market Simulation [#3-11-0012] 10:30 – 10:50 Coffee Break Chi Xu, Zheru Chi 16:00 – 18:00 Ji Di Hall ICA Based Super-Resolution Face Hallucination and Recog- 10:50 – 12:30 nition [#3-03-0172] Plenary Panel Session Hua Yan, Ju Liu, Jiande Sun, Xinghua Sun Future of Neural Networks Research 16:00 – 18:00 Chair: Dr. Paul Werbos Neural Network Based Palmprint Identification System Using National Science Foundation Zernike Moments [#3-06-0138] Panelists: Kong Jun, Shuhua Wang, Yinghua Lu, Hongzhi Li S. N. Balakrishnan, Tamer Basar, Tianyou Chai, Jay A. Far- rell, Deyi Li, Thomas Parisini, Marios M. Polycarpou, Zengqi Sun, Jun Wang, Paul Werbos, Donald C. Wunsch II, Zongben Xu

Humphrey’s Restraunt 12:40 – 13:50 Lunch

Afternoon Lecture Sessions 14:00 – 16:00, Tuesday, June 5, 2007

TP01 Hou Men Hall Recurrent Neural Networks Lecture Session Chair: Xia, Youshen Co-Chair: Xu, Zongben

14:00 New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings [#1-04-0057] End of the 1st day, 18:00 Chen Qiao, Zongben Xu

21 14:20 15:40 Recurrent Neural Networks on Duty of Anomaly Detection in A Neural Network Model Based MPC of Engine AFR Databases [#2-02-0009] [#3-09-0109] Jaroslaw Skaruz, Franciszek Seredynski Yu-Jia Zhai, Ding-Li Yu 14:40 SP01 Room B Iterative Learning Control Analysis Based on Hopfield Neural Extreme Learning Machine Special Session Networks [#2-09-0062] Jingli Kang, Wansheng Tang Organizer and Chair: Huang, Guang-Bin Co-Chair: Lim, Junseok 15:00 Solving Variational Inequality Problems with Linear Constraints 14:00 Using a Novel Recurrent Neural Network [#2-02-0011] Recursive DLS Solution for Extreme Learning Machine Based Youshen Xia, Jun Wang Channel Equalizer [#2-09-0048] 15:20 Junseok Lim A Model Predictive Control of a Grain Dryer with Four Stages 14:20 Based on Recurrent Fuzzy Neural Network [#3-10-0026] An Improved On-Line Sequential Learning Algorithm for Chunyu Zhao, Qinglei Chi, Xiaofeng Jia, Extreme Learning Machine [#2-01-0022] Bangchun Wen Bin Li, Jingming Wang, Yibin Li, 15:40 Yong Song Convergence of Gradient Descent Algorithm for a Recurrent 14:40 Neuron [#1-04-0026] Linear Programming Minimum Sphere Set Covering for Ex- Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, treme Learning Machines [#2-01-0055] Di Qu Xun-Kai Wei, Ying-Hong Li

TP02 Wang Fu Hall 15:00 Neural Networks for Lecture Session Incremental Extreme Learning Machine with Fully Complex Control Applications Hidden Nodes [#1-02-0013] Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee-Kheong Chair: Liu, Guohai Siew Co-Chair: Yang, Zi-Jiang 15:20 14:00 Ensembling Extreme Learning Machines [#2-01-0059] Adaptive Robust Motion Controller with Friction and Ripple Huawei Chen, Huahong Chen, Xiaoling Nian, Disturbance Compensation Via RBF Networks [#3-09-0020] Peipei Liu Zi-Jiang Yang, Shunshoku Kanae, Kiyoshi Wada 15:40 14:20 A Robust Online Sequential Extreme Learning Machine Neural-Network-Based Switching Control for DC Motors Sys- [#2-01-0028] tem with LFR [#3-08-0084] Minh-Tuan Trong Hoang, Hieu Trung Huynh, Jianhua Wu, Shuying Zhao, Lihong He, Lanfeng Chen, Nguyen Ha Vo, Yonggwan Won Xinhe Xu TP04 Room C 14:40 Adaptive Dynamic Programming Lecture Session An Improved Approach of Adaptive Control for Time-Delay Systems Based on Observer [#1-04-0045] Chair: Yi, Jianqiang Lin Chai, Shumin Fei Co-Chair: Chen, Yuehui

15:00 14:00 Realization of Neural Network Inverse Control with PLC in An IP and GEP Based Dynamic Decision Model for Stock Variable Frequency Speed-Regulating System [#3-08-0028] Market Forecasting [#3-11-0020] Guohai Liu, Fuliang Wang, Yue Shen Yuehui Chen, Qiang Wu, Feng Chen 15:20 14:20 Adaptive Control for a Class of Nonlinear Time-Delay Sys- On-Line Learning Control for Discrete Nonlinear Systems via tems Using RBF Neural Networks [#1-02-0008] an Improved ADDHP Method [#2-09-0046] Geng Ji, Qi Luo Huaguang Zhang, Qinglai Wei, Derong Liu

22 14:40 Multiple Approximate Dynamic Programming Controllers for Interactive Sessions Congestion Control [#3-07-0059] 16:00 – 18:00, Tuesday, June 5, 2007 Yanpin Xiang, Jianqiang Yi, Dongbin Zhao 15:00 TI01 Hou Men Hall Approximate Dynamic Programming for Ship Course Control Neural Network Learning Interactive Session [#1-02-0016] Chair: Hou, Zeng-Guang Xuerui Bai, Jianqiang Yi, Dongbin Zhao Co-Chair: Yu, Wen 15:20 16:00 – 18:00 The Application of Adaptive Critic Design in the Nosiheptide Decomposition Method for Tree Kernels [#2-12-0039] Fermentation [#3-05-0080] Peng Huang, Jie Zhu Dapeng Zhang 16:00 – 18:00 15:40 Perfect Recall on the Lernmatrix [#2-08-0006] Application of Neural Network on Rolling Force Self-Learning Israel Roman-Godinez, Itzama Lopez-Yanez, for Tandem Cold Rolling Mills [#3-13-0090] Cornelio Yanez-Marquez Jingming Yang, Haijun Che, Fuping Dou, Shuhui Liu 16:00 – 18:00 An Extremely Simple Reinforcement Learning Rule for Neu- TP05 Room D ral Networks [#2-09-0055] Neural Networks for Lecture Session Xiaolong Ma Pattern Recognition 16:00 – 18:00 Chair: Sun, Fuchun Unsupervised Learning Neural Network with Convex Con- Co-Chair: He, Haibo straint: Structure and Algorithm [#2-09-0028] Hengqing Tong, Tianzhen Liu, Qiaoling Tong 14:00 Palmprint Recognition Using a Novel Sparse Coding Tech- 16:00 – 18:00 nique [#3-06-0017] A Novel Elliptical Basis Function Neural Networks Model Li Shang, Feng-Wen Cao, Zhi-Qiang Zhao, Jie Chen, Based on a Hybrid Learning Algorithm [#2-01-0056] Yu Zhang Ji-Xiang Du, Guo-Jun Zhang, Zeng-Fu Wang 14:20 16:00 – 18:00 Decision-Based Hybrid Image Watermarking in Wavelet Do- Efficient Training of RBF Networks via the BYY Automated main Using HVS and Neural Networks [#3-03-0154] Model Selection Learning Algorithms [#2-09-0141] Hung-Hsu Tsai Kai Huang, Le Wang, Jinwen Ma 14:40 16:00 – 18:00 Recognition of Car License Plates Using Morphological Fea- Intelligence Through Interaction: Towards a Unified Theory tures, Color Information and an Enhanced FCM Algorithm for Learning [#2-09-0148] [#2-05-0025] Ah-Hwee Tan, Gail Carpenter, Kwang-Baek Kim, Choong-Shik Park, Stephen Grossberg Young Woon Woo 16:00 – 18:00 15:00 A Modified Rival Penalized Competitive Learning Algorithm Human Action Recognition Using a Modified Convolutional [#2-09-0153] Neural Network [#2-07-0035] Zeng-Shun Zhao, Zeng-Guang Hou, Min Tan, Ho-Joon Kim, Joseph Lee, Hyun-Seung Yang An-Min Zou 15:20 16:00 – 18:00 Human Touching Behavior Recognition Based on Neural Net- Learning Bayesian Networks Based on a Mutual Information works [#3-06-0105] Scoring Function and EMI Method [#2-10-0011] Joung Woo Ryu, Cheonshu Park, Joo-Chan Sohn Fengzhan Tian, Haisheng Li, Zhihai Wang, Jian Yu 15:40 16:00 – 18:00 Kernel Fisher NPE for Face Recognition [#3-06-0082] Incremental Learning and its Application to Bushing Condi- Guoqiang Wang, Zongying Ou, Fan Ou, Dianting Liu, tion Monitoring [#3-08-0046] Feng Han Christina Busisiwe Vilakazi, Tshilidzi Marwala

23 16:00 – 18:00 16:00 – 18:00 Informative Gene Set Selection via Distance Sensitive Rival Multilayer Perceptron Networks Training Using Particle Penalized Competitive Learning and Redundancy Analysis Swarm Optimization with Minimum Velocity Constraints [#3-12-0021] [#3-05-0051] Liangliang Wang, Jinwen Ma Xiaorong Pu, Zhongjie Fang, Yongguo Liu 16:00 – 18:00 16:00 – 18:00 A Multi-Instance Learning Algorithm Based on Normalized Designing Neural Networks Using PSO-Based Memetic Al- Radial Basis Function Network [#2-09-0047] gorithm [#2-06-0004] Yumei Chai, Zhiwu Yang Bo Liu, Ling Wang, Yihui Jin, Dexian Huang 16:00 – 18:00 An On-Line Learning Algorithm of Parallel Mode for MLPN 16:00 – 18:00 Models [#2-09-0051] A New Method of IRFPA Nonuniformity Correction Ding-Li Yu, Thoon Khin Chang, Ding-Wen Yu [#3-03-0093] Shaosheng Dai, Tianqi Zhang, Jian Gao 16:00 – 18:00 An Improved Multiple-Instance Learning Algorithm TI02 Wang Fu Hall [#2-09-0102] Support Vector Machines Interactive Session Feng-Qing Han, Da-Cheng Wang, Xiao-Feng Liao Chair: Lv, Baoliang 16:00 – 18:00 Co-Chair: Sun, Fuchun Mistaken Driven and Unconditional Learning of NTC [#3-04-0091] 16:00 – 18:00 Taeho Jo, Malrey Lee Online Least Squares Support Vector Machines Based on 16:00 – 18:00 Wavelet and its Applications [#1-03-0015] Regularization for Regression Models Based on the Qian Zhang, Fuling Fan, Lan Wang K-Functional with Besov Norm [#1-03-0016] 16:00 – 18:00 Imhoi Koo, Rhee Man Kil Fuzzy Neural Network Classification Design Using Support 16:00 – 18:00 Vector Machine in Weld Defect [#2-05-0013] Investigation on Sparse Kernel Density Estimator via Har- Xiao-Guang Zhang, Shi-Jin Ren, Xing-Gan Zhang, mony Data Smoothing Learning [#2-09-0027] Fan Zhao Xuelei Hu, Jingyu Yang 16:00 – 18:00 16:00 – 18:00 An Adaptive Futeature Fusion Algorithm for Multi Neural Network Training Using Genetic Algorithm with a -Classification Based on SVM [#2-09-0115] Novel Binary Encoding [#2-09-0091] Peipei Yin, Fuchun Sun, Huaping Liu Yong Liang 16:00 – 18:00 16:00 – 18:00 A Fast and Accurate Progressive Algorithm for Training Trans- Adaptive Training of a Kernel-Based Representative and Dis- ductive SVMs [#2-12-0001] criminative Nonlinear Classifier [#2-09-0110] Lei Wang, Huading Jia, Shixin Sun Benyong Liu, Jing Zhang, Xiaowei Chen 16:00 – 18:00 16:00 – 18:00 Fast Support Vector Data Description Using K-Means Clus- Neural Networks Training with Optimal Bounded Ellipsoid tering [#2-12-0030] Algorithm [#2-09-0112] Pyo Jae Kim, Hyung Jin Chang, Dong Sung Song, Jose de Jesus Rubio, Wen Yu Jin Young Choi 16:00 – 18:00 16:00 – 18:00 A Hybrid Rules Extraction Method Using Rough Sets and Support Vector Machine Classification for Large Data Sets via Neural Networks [#3-04-0009] Minimum Enclosing Ball Clustering [#2-12-0037] Shufeng Wang, Gengfeng Wu, Jianguo Pan Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li 16:00 – 18:00 16:00 – 18:00 Attribute Reduction Based on Bi-Directional Distance Corre- A Kernel-Based Two-Stage One-Class Support Vector Ma- lation and Radial Basis Network [#3-04-0050] chines Algorithm [#2-12-0040] Li-Chao Chen, Wei Zhang, Ying-Jun Zhang, Bin Ye, Chi-Yuan Yeh, Shie-Jue Lee Li-Hu Pan, Jing Li

24 16:00 – 18:00 [#2-12-0032] A Confident Majority Voting Strategy for Parallel and Modu- Changyin Sun, Jinya Song lar Support Vector Machines [#2-12-0047] 16:00 – 18:00 Yimin Wen, Baoliang Lv Integrating KPCA and LS-SVM for Chaotic Time Series Fore- 16:00 – 18:00 casting via Similarity Analysis [#2-12-0046] Universal Steganalysis Using Multiwavelet Higher-Order Jian Cheng, Jian-Sheng Qian, Xiang-Ting Wang, Statistics and Support Vector Machines [#3-06-0007] Li-Cheng Jiao San-Ping Li, Yu-Shen Zhang, Chunhua Li, Feng Zhao 16:00 – 18:00 16:00 – 18:00 Modulation Classification of Analog and Digital Signals Tree-structured Support Vector Machines for Multi-Class Clas- Using Neural Network and Support Vector Machine sification [#3-06-0087] [#3-02-0031] Siyu Xia, Jiuxian Li, Liangzheng Xia, Chunhua Ju Cheol-Sun Park, Dae Young Kim 16:00 – 18:00 16:00 – 18:00 A Two-Pass Classification Method Based on Hyper-Ellipsoid Hybrid Support Vector Machine and General Model Approach Neural Networks and SVM’s with Applications to Face Recog- for Audio Classification [#3-02-0076] nition [#3-06-0134] Xin He, Ling Guo, Xianzhong Zhou, Chengan Guo, Chongtao Yuan, Honglian Ma Wen Luo 16:00 – 18:00 16:00 – 18:00 Nonlinear System Modeling Using LS-SVM with SMO-Based Extraction of Filled-In Items From Chinese Bank Check Us- Pruning Methods [#3-09-0016] ing Support Vector Machines [#3-11-0032] Changyin Sun, Jinya Song, Guofang Lv, Liangli Huang, Shutao Li, Liming Li Hua Liang TI03 Room B 16:00 – 18:00 Neural Networks for Controls Interactive Session Rotation Invariant Texture Classification Algorithm Based on DT-CWT and SVM [#3-03-0001] Chair: Zhai, Junyong Shu-Zhen Chen, Yan Shang, Bing-Yi Mao, Co-Chair: Tan, Min Qiu-Sheng Lian 16:00 – 18:00 16:00 – 18:00 Neural Control Applied to Time Varying Uncertain Nonlinear A New Segmentation Method Based on SVM for HIFU Image- Systems [#3-05-0136] Guided System [#3-03-0130] Dingguo Chen, Jiaben Yang, Ronald Mohler Zhao Zhang, Su Zhang, Wei Yang, Ya Zhu Chen, Hong Tao Lu 16:00 – 18:00 Modeling and Control of Molten Carbonate Fuel Cells Based 16:00 – 18:00 on Feedback Neural Networks [#3-08-0021] Combining Weighted SVMs and Spectrum-Based KNN for Yudong Tian, Shilie Weng Multi-Classification [#2-09-0043] Ping Ling, Chun-Guang Zhou 16:00 – 18:00 Neuro-Adaptive Formation Control of Multi-Mobile Vehicles: 16:00 – 18:00 Virtual Leader Based Path Planning and Tracking Simultaneouly Prediction of Network Traffic Flow Based on [#3-09-0095] PCA-SVR [#3-01-0028] Zhao Sun, Mingjin Zhang, Wenchuan Cai, Xiaohong Liao, Xuexiang Jin, Yi Zhang, Danya Yao David Song 16:00 – 18:00 16:00 – 18:00 Gene Selection Using Genetic Algorithm and Support Vector Neural-Memory Based Control of Micro Air Vehicles (MAVs) Machines [#3-12-0002] with Flapping Wings [#3-09-0094] Shutao Li, Xixian Wu, Chen Liao Liguo Weng, Wenchuan Cai, M. J. Zhang, X. H. Liao, 16:00 – 18:00 David Song SVM Based Adaptive Inverse Controller for Excitation Con- 16:00 – 18:00 trol [#2-12-0016] The ANN Inverse Control of Induction Motor with Robust Xiaofang Yuan, Yaonan Wang Flux Observer Based on ESO [#3-08-0033] 16:00 – 18:00 Xin Wang, Xianzhong Dai An Adaptive Internal Model Control Based on LS-SVM

25 16:00 – 18:00 Networks [#3-10-0067] An Architecture-Adaptive Neural Network Online Control Hong-Nan Li, Lin-Sheng Huo, Ting-Hua Yi System [#3-09-0002] 16:00 – 18:00 Xun Liang, Rongchang Chen, Jian Yang Neural Adaptive Control for a Class of Nonlinear Systems 16:00 – 18:00 with Unknown Deadzone [#3-09-0039] Multiple Models Switching Control Based on Recurrent Neu- Zhonghua Wang, Yong Zhang, ral Networks [#3-09-0008] Hui Fang Junyong Zhai, Shumin Fei, Xiaohui Mo 16:00 – 18:00 16:00 – 18:00 Neural Network in Stable Adaptive Control Law for Automo- Backstepping Control of Uncertain Time Delay Systems Based tive Engines [#3-09-0047] on Neural Network [#3-09-0014] Shiwei Wang, Ding-Li Yu Mou Chen, Chang-Sheng Jiang, Qing-Xian Wu, 16:00 – 18:00 Wen-Hua Chen Adaptive Tracking Control for the Output PDFs Based on Dy- 16:00 – 18:00 namic Neural Networks [#3-09-0054] RBFN-Based Decentralized Adaptive Control of a Class of Yang Yi, Tao Li, Lei Guo, Hong Wang Large-Scale Non-Affine Nonlinear Systems [#3-09-0027] 16:00 – 18:00 Tong Zhao A Novel Multiple Improved PID Neural Network Ensemble 16:00 – 18:00 Model for PH Value in Wet FGD [#2-01-0058] An Efficient K-Hyperplances Clustering Algorithm and its Ap- Yongjun Shen, Xingsheng Gu, Qiong Bao plication to Sparse Component Analysis [#3-02-0075] 16:00 – 18:00 Zhaoshui He, Andrzej Cichocki Neurodynamic Programming: A Case Study of the Traveling 16:00 – 18:00 Salesman Problem [#3-05-0130] Reheat Steam Temperature Composite Control System Based Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, on CMAC Neural Network and Immune PID Controller Derong Liu [#3-09-0030] 16:00 – 18:00 Daogang Peng, Hao Zhang, Ping Yang Minimum Entropy Control of Nonlinear ARMA Systems Over 16:00 – 18:00 A Communication Network [#3-09-0090] H∞ Tracking Control of Descriptor System for Output PDFs Jianhua Zhang, Hong Wang of Stochastic Systems Based on B-Spline Neural Networks 16:00 – 18:00 [#3-09-0053] Adaptive Output-Feedback Stochastic Nonlinear Stabilization Haiqin Sun, Huiling Xu, Chenglin Wen Using Neural Network [#3-09-0119] 16:00 – 18:00 Jun Yang, Junchao Ni, Weisheng Chen Neural Network Based Multiple Model Adaptive Predictive 16:00 – 18:00 Control for Teleoperation System [#3-09-0078] Self-Tuning PID Temperature Controller Based on Flexible Qihong Chen, Jin Quan, Jianjun Xia Neural Network [#3-13-0091] 16:00 – 18:00 Le Chen, Baoming Ge, Anabal T. de Almeida Steady-State Modeling and Control of Molecular Weight Dis- 16:00 – 18:00 tributions in a Styrene Polymerization Process Based on B- Hybrid Neural Network Controller Using Adaptation Algo- Spline Neural Network [#3-09-0093] rithm [#2-07-0018] Jinfang Zhang, Hong Yue Manjun Cai, Jincun Liu, Guangjun Tian, Xuejian Zhang, 16:00 – 18:00 Tihua Wu Neural Network-Based Position Sensorless Control for Trans- 16:00 – 18:00 verse Flux Linear SRM [#3-13-0092] Constrained Control of a Class of Uncertain Nonlinear MIMO Zhongsong Chen, Baoming Ge, Anibal T. de Almeida Systems Using Neural Networks [#2-07-0024] 16:00 – 18:00 Dingguo Chen, Jiaben Yang On Near Optimal Neural Control of Multiple-Input Nonlinear 16:00 – 18:00 Systems [#1-01-0018] A Modified Hopfield Network for Nonlinear Programming Dingguo Chen, Jiaben Yang, Ronald Mohler Problem Solving [#3-05-0083] 16:00 – 18:00 Changrui Yu, Yan Luo Semi-Active Control of Eccentric Structures Based on Neural

26 16:00 – 18:00 16:00 – 18:00 Robust Adaptive Neural Network Control for a Class of Non- Gaussianization Based Approach for Post-Nonlinear Under- linear Systems with Uncertainties [#3-09-0021] determined BSS with Delays [#3-02-0078] Haisen Ke, Hong Xu Alessandro Bastari, Stefano Squartini, Stefania Cecchi, Francesco Piazza 16:00 – 18:00 Sliding Mode Control for Missile Electro-Hydraulic Servo 16:00 – 18:00 System Using Recurrent Fuzzy Neural Network [#3-09-0025] Edge Enhancement Post-Processing Using Hopfield Neural Huafeng He, Yunfeng Liu, Net [#3-03-0094] Xiaogang Yang Zhaoyu Pian, Liqun Gao, Kun Wang, Li Guo, Jianhua Wu 16:00 – 18:00 On Neural Network Switched Stabilization of SISO Switched 16:00 – 18:00 Nonlinear Systems with Actuator Saturation [#3-09-0029] A New Approach of Blind Channel Identification in Frequency Fei Long, Wei Wei Domain [#3-02-0063] Caiyun Chen, Ronghua Li 16:00 – 18:00 A New Method for Accelerometer Dynamic Compensation 16:00 – 18:00 Based on CMAC [#3-09-0035] Sequential Blind Signal Extraction with the Linear Predictor Mingli Ding, Qingdong Zhou, Kai Song [#2-14-0029] Yunxia Li, Zhang Yi TI04 Room C 16:00 – 18:00 Neural Networks for Interactive Session Neural-Based Separating Method for Nonlinear Mixtures Signal Processing I [#2-01-0030] Chair: Yi, Zhang Ying Tan Co-Chair: Piazza, Francesco 16:00 – 18:00 16:00 – 18:00 Acoustic Modeling Using Continuous Density Hidden Multiscale Estimation to the Parameter of Multiresolution Markov Models in the Mercer Kernel Feature Space Time Series [#3-01-0044] [#2-12-0024] Cheng-Lin Wen, Guang-Jiang Wang Anitha R., Chandra Sekhar C. 16:00 – 18:00 16:00 – 18:00 Equalization of 8PSK Signals with a Recurrent Neural Net- Simulation of Time Series Prediction Based on Smooth Sup- work [#3-02-0019] port Vector Regression [#3-01-0003] Dong-Chul Park, Young-Soo Song, Chao Zhang, Pu Han, Guiji Tang, Guori Ji Dong-Min Woo 16:00 – 18:00 16:00 – 18:00 Neural Network Approach for Designing One- and An Adaptive Radar Target Signal Processing Scheme Based Two-Dimensional Quasi-Equiripple FIR Digital Filters on AMTI Filter and Chaotic Neural Networks [#3-02-0045] [#3-02-0014] Quansheng Ren, Jian Wang, Hongling Meng, Jianye Zhao Xiaohua Wang, Yigang He 16:00 – 18:00 16:00 – 18:00 A Speech Enhancement Method in Subband [#3-02-0061] Neural Network-Based H∞ Filtering for Nonlinear Jump Sys- Xiaohong Ma, Xiaohua Liu, Jin Liu, Fuliang Yin tems [#3-05-0075] Xiaoli Luan, Fei Liu 16:00 – 18:00 Content-Based Audio Classification: A Neural Network Ap- 16:00 – 18:00 proach [#3-02-0036] A Connectionist Thematic Grid Predictor for Pre-Parsed Nat- Vikramjit Mitra, Chiajiu Wang ural Language Sentences [#2-07-0032] Joao Luis Rosa 16:00 – 18:00 Blind Source Separation in Post-Nonlinear Mixtures Using 16:00 – 18:00 Natural Gradient Descent and Particle Swarm Optimization Histogram PCA [#2-14-0042] Algorithm [#3-02-0069] Pradeep Kumar, Naga Bhushan Kai Song, Mingli Ding, Qi Wang, Wenhui Liu

27 16:00 – 18:00 TI05 Room D Short-Term Load Forecasting Using Bilinear Recurrent Neu- Neural Network Applications II Interactive Session ral Network [#3-08-0016] Sung Hwan Shin, Dong-Chul Park Chair: Lin, Xiaofeng Co-Chair: Sun, Changyin 16:00 – 18:00 Classification and Diagnosis of Mechanical Faults Using the 16:00 – 18:00 RBF Network Based on the Local Bispectra [#3-10-0028] Implementation of Hybrid Short-Term Load Forecasting Sys- Shuhua Xu, Benxiong Huang, Yuchun Huang tem with Analysis of Temperature Sensitivities [#3-08-0019] 16:00 – 18:00 Changyin Sun, Jinya Song, Linfeng Li, A Study on Digital Media Security by Hopfield Neural Net- Ping Ju work [#3-13-0127] 16:00 – 18:00 Minseong Ju, Seoksoo Kim, Tai-Hoon Kim Combining News and Technical Indicators in Daily Stock Price 16:00 – 18:00 Trends Prediction [#3-11-0023] Detection of Basal Cell Carcinoma Based on Gaussian Proto- Yuzheng Zhai, Arthur Hsu, Saman Halgamuge type Fitting of Confocal Raman Spectra [#3-06-0102] 16:00 – 18:00 Seong-Joon Baek, Aaron Park, Sangki Kang, Project-Based Artificial Neural Networks Development Soft- Yonggwan Won, Jin Young Kim, Seung You Na ware and Applications [#3-13-0009] 16:00 – 18:00 Xiaofeng Lin, Shaojian Song, Chunning Song, Satisficing Approximation Response Model Based on Neural Qingbao Huang, Xiaoxiao Song Network in Multidisciplinary Collaborative Optimization 16:00 – 18:00 [#3-13-0123] Discrimination of Coronary Microcirculatory Dysfunction Ye Tao, Hong-Zhong Huang, Bao-Gui Wu Based on Generalized Relevance LVQ [#3-13-0032] Qi Zhang, Yuanyuan Wang, Weiqi Wang, Jianying Ma, Ji Di Hall Juying Qian, Junbo Ge 18:30 – 21:00 Banquet 16:00 – 18:00 Multiresolution of Clinical EEG Recordings Based on Wavelet Packet Analysis [#3-13-0080] Lisha Sun, Guoliang Chang, Patch Beadle 16:00 – 18:00 Principal Component Analysis Based Probability Neural Net- work Optimization [#2-10-0012] Jie Xing, Deyun Xiao, Jiaxiang Yu 16:00 – 18:00 A PCA-Combined Neural Network Software Sensor for SBR Processes [#3-02-0081] Liping Fan, Yang Xu 16:00 – 18:00 Image Quality Assessment Based on Wavelet Coefficients Us- ing Neural Network [#3-03-0049] Dongxue Yue, Xinsheng Huang, Hongli Tan 16:00 – 18:00 TS-Neural-Network-Based Maintenance Decision Model for Diesel Engine [#3-05-0030] Gu Yingkui, Yang Zhenyu 16:00 – 18:00 Characterization and Optimization of the Contact Formation for High-Performance Silicon Solar Cells [#3-05-0081] Sung-Joon Lee, Gary May, Dong-Seop Kim, A. Rohatgi, Sang-Jeen Hong, Seung-Soo Han End of the 2nd day, 21:00

28 Guohai Liu, Jianbing Wu, Yue Shen ISNN 2007 9:10 Wednesday, June 6, 2007 Improvement Techniques for the EM-Based Neural Network Approach in RF Components Modeling [#3-07-0050] Early Morning Lecture Sessions Tao Liu, Wenjun Zhang, Jun Ma, Zhiping Yu 8:30 – 10:30, Wednesday, June 6, 2007 9:30 Recurrent Fuzzy CMAC for Nonlinear System Modeling WA01 Hou Men Hall [#2-05-0038] Feedforward Neural Networks Lecture Session Floriberto Ortiz Rodriguez, Wen Yu, Chair: Du, Junping Marco Moreno-Armendariz, Xiaoou Li Co-Chair: Liu, Guohai 9:50 8:30 Delay Modelling at Unsignalized Highway Nodes with Radial Momentum BP Neural Networks in Structural Damage Detec- Basis Function Neural Networks [#3-05-0125] tion Based on Static Displacements and Natural Frequencies Hilmi Berk Celikoglu, Mauro Dell’Orco [#3-06-0137] 10:10 Xudong Yuan, Chao Gao, Shaoxia Gao Modelling of Dynamic Systems Using Generalized RBF Neu- 8:50 ral Networks Based on Kalman Filter Method [#3-09-0048] GA-Based Neural Network to Identification of Nonlinear Struc- Jun Li, You-Peng Zhang tural Systems [#3-01-0063] Grace Wang, Fu-Kuo Huang WA03 Room B Neurodynamics Lecture Session 9:10 Using Three Layer Neural Network to Compute Multi-Valued Chair: Guo, Lei Functions [#2-01-0001] Co-Chair: Wu, Si Nan Jiang, Yixian Yang, Xiaomin Ma, Zhaozhi Zhang 8:30 9:30 The Tracking Speed of Continuous Attractors [#1-05-0003] Tourism Room Occupancy Rate Prediction Based on Neural Si Wu, Kosuke Hamaguchi, Shun-Ichi Amari Network [#3-01-0067] 8:50 Junping Du, Wensheng Guo, Ruijie Wang Dynamic Behavioral Models for Wideband Wireless Trans- 9:50 mitters Stimulated by Complex Signals Using Neural Net- A Novel Global Hybrid Algorithm for Feedforward Neural works [#3-07-0061] Networks [#2-09-0023] Taijun Liu, Yan Ye, Slim Boumaiza, Hongru Li, Hailong Li, Yina Du Fadhel M. Ghannouchi 10:10 9:10 Application of Back-Propagation Neural Network to Power Statistical Neurodynamics for Sequence Processing Neural Transformer Insulation Diagnosis [#3-06-0100] Networks with Finite Dilution [#1-01-0006] Po-Hung Chen, Hung-Cheng Chen Pan Zhang, Yong Chen 9:30 WA02 Wang Fu Hall Dynamics of Continuous-Time Neural Networks and Their Neural Networks for Nonlinear Lecture Session Discrete-Time Analogues with Distributed Delays Systems Modeling [#2-11-0006] Chair: Yu, Wen Lingyao Wu, Lei Guo Co-Chair: Liu, Guohai 9:50 8:30 Horseshoe Dynamics in a Small Hyperchaotic Neural Net- A Fast Fuzzy Neural Modeling Method for Nonlinear Dy- work [#2-11-0009] namic Systems [#2-05-0040] Qingdu Li, Xiao-Song Yang Barbara Pizzileo, Kang Li, George W. Irwin 10:10 8:50 Analysis of the Dynamical Behavior of a Feedback Tension Identification of Multi-Motor Synchronous System Auto-Associative Memory [#1-01-0007] Based on Artificial Neural Network [#3-08-0025] Sohrab Saeb, Mahmood Amiri, Mohammad J. Yazdanpanah

29 9:30 Solving the Delay Constrained Multicast Routing Problem Us- WA04 Room C ing the Transiently Chaotic Neural Network [#3-05-0048] Machine Learning Lecture Session Wen Liu, Lipo Wang Chair: He, Haibo 9:50 Co-Chair: Yu, Wen Global Synchronization in an Array of Delayed Neural Net- works with Nonlinear Coupling [#2-02-0003] 8:30 Jinling Liang, Ping Li, Yongqing Yang Reinforcement Learning Reward Functions for Unsupervised Learning [#1-03-0021] 10:10 Colin Fyfe, Pei Ling Lai Secure Media Distribution Scheme Based on Chaotic Neural Network [#3-03-0173] 8:50 Shiguo Lian, Zhongxuan Liu, Zen Ren, Haila Wang Enclosing Machine Learning for Class Description [#2-09-0014] 10:30 – 10:50 Coffee Break Xun-Kai Wei, Lofberg Johan, Yue Feng, Ying-Hong Li, Morning Lecture Sessions Yu-Fei Li 10:50 – 12:30, Wednesday, June 6, 2007 9:10 A Hierarchical Self-Organizing Associative Memory for Ma- WM01 Hou Men Hall chine Learning [#2-08-0001] Neural Networks for Optimization Lecture Session Janusz Starzyk, Haibo He, Yue Li Chair: Shen, Yi 9:30 Co-Chair: Zhang, Kan-Jian Online Dynamic Value System for Machine Learning [#2-09-0108] 10:50 Haibo He, Janusz Starzyk An Evolutionary Multiobjective Neural Network Optimizer with Biased-based Pruning Heuristic [#2-06-0024] 9:50 Prospero Naval, John Paul Yusiong A Kernel-Based Reinforcement Learning Approach to Dy- namic Behavior Modeling of Intrusion Detection [#3-06-0158] 11:10 Xin Xu, Yirong Luo Application of RBF Neural Network to Simplify the Potential Based Optimization [#3-05-0131] 10:10 Kan-Jian Zhang, Chun-Bo Feng Long-Term Electricity Demand Forecasting Using Relevance Vector Learning Mechanism [#3-08-0031] 11:30 Zhigang Du, Lin Niu, Jianguo Zhao Improved Results on Solving Quadratic Programming Prob- lems with Delayed Neural Network [#3-05-0008] WA05 Room D Minghui Jiang, Shengle Fang, Yi Shen, Xiaoxin Liao Chaos and Synchronization Lecture Session 11:50 Chair: Wang, Lipo Multi-Objective Topology Optimization of Structures Using Co-Chair: Tang, Lixin NN-OC Algorithms [#3-05-0058] Xinyu Shao, Zhimin Chen, Mingang Fu, Liang Gao 8:30 12:10 Solving Prize-Collecting Traveling Salesman Problem with Optimizing Process Parameters for Ceramic Tile Manufactur- Time Windows by Chaotic Neural Network [#3-05-0062] ing Using an Evolutionary Approach [#3-05-0128] Yanyan Zhang, Lixin Tang Thitipong Navalertporn, Nitin V. Afzulpurkar 8:50 Self-Synchronization Blind Audio Watermarking Based on WM02 Wang Fu Hall Feature Extraction and Subsampling [#3-02-0060] Support Vector Machines Lecture Session Xiaohong Ma, Bo Zhang, Xiaoyan Ding Chair: Liang, Hua 9:10 Co-Chair: Sang, Haifeng An Improved Extremum Seeking Algorithm Based on the Chaotic Annealing Recurrent Neural Network and its Appli- 10:50 cation [#3-05-0043] Support Vector Machines and Genetic Algorithms for Soft- Yun-An Hu, Bin Zuo, Jing Li Sensing Modeling [#3-13-0004] Haifeng Sang, Weiqi Yuan, Fuli Wang, Dakuo He

30 11:10 Co-Chair: Yang, Zi-Jiang Neuromorphic Quantum-Based Adaptive Support Vector Re- gression for Tuning BWGC-NGARCH Forecast Model 10:50 [#3-01-0043] A Decision Method for Air-Pressure Limit Value Based on the Bao Rong Chang, Hsiu Fen Tsai Respiratory Model with RBF Expression of Elastance [#3-13-0103] 11:30 Shunshoku Kanae, Zi-Jiang Yang, Kiyoshi Wada Identification of MIMO Hammerstein Models Using Support Vector Machine [#3-09-0031] 11:10 Hua Liang, Jinya Song, Bolin Wang Neurooracle: Integration of Neural Networks into an Object- Relational Database System [#3-13-0034] 11:50 Erich Schikuta, Paul Glantschnig A Facial Expression Recognition Approach Based on Novel Support Vector Machine Tree [#3-03-0164] 11:30 Qinzhen Xu, Pinzheng Zhang, Luxi Yang, Wenjiang Pei, Phase Transitions Caused by Threshold in Random Neural Zhenya He Network and its Medical Applications [#3-13-0060] Guangcheng Xi, Jianxin Chen 12:10 Regularization Paths for V-SVM and V-SVR [#2-12-0049] 11:50 Gaelle Loosli, Gilles Gasso, Stephane Canu A Study on How to Classify the Security Rating of Medical Information Neural Network [#1-03-0025] WM03 Room B Jaegu Song, Seoksoo Kim Data Mining and Feature Extraction Lecture Session 12:10 Chair: Zhao, Dongbin Comparing Analytical Decision Support Models Through Co-Chair: Ong, Yew-Soon Boolean Rule Extraction: A Case Study of Ovarian Tumor Malignancy [#3-13-0098] 10:50 Min Aung, Paulo Lisboa, Terence Etchells, Memetic Algorithms for Feature Selection on Microarray Data Dirk Timmerman, Ben Van Calster, Sabine Van Huffel [#3-06-0164] Zexuan Zhu, Yew-Soon Ong WM05 Room D Communications and Signal Processing Lecture Session 11:10 A New Adaptive Neural Network Model for Financial Data Chair: Feng, Jian Mining [#2-01-0047] Co-Chair: Li, Demin Shuxiang Xu, Ming Zhang 10:50 11:30 Location Management Cost Estimation for PCS with Parame- A Comparison of Four Data Mining Models: Bayes, Neural ters Determined Using Neural Network [#3-07-0049] Network, SVM and Decision Trees in Identifying Syndromes Demin Li, Jie Zhou, Jiacun Wang in Coronary Heart Disease [#3-04-0022] Jianxin Chen, Yanwei Xing, Guangcheng Xi, Jing Chen, 11:10 Jianqiang Yi, Dongbin Zhao Stochastic Cellular Neural Network for CDMA Multiuser De- tection [#3-07-0039] 11:50 Zhilu Wu, Nan Zhao, Yaqin Zhao, Guanghui Ren Feature Bispectra and RBF Based FM Signal Recognition [#3-07-0038] 11:30 Yuchun Huang, Zailu Huang, Benxiong Huang, Adaptive Natural Gradient Algorithm for Blind Convolutive Shuhua Xu Source Separation [#3-02-0011] Jian Feng, Huaguang Zhang, Tianyou Chai, Heng Yue 12:10 Zero-Crossing-Based Feature Extraction for Voice Command 11:50 Systems Using Neck-Microphones [#3-06-0146] A Neural Network Solution on Data Least Square Algorithm Sang Kyoon Park, Rhee Man Kil, Young-Giu Jung, and its Application for Channel Equalization [#3-07-0005] Mun-Sung Han Jun-Seok Lim 12:10 WM04 Room C Underdetermined Blind Source Separation Using SVM Biomedical Applications Lecture Session [#3-02-0050] Chair: Xi, Guangcheng Zuyuan Yang, Shiguang Luo, Caiyun Chen

31 Ning Zong, Xia Hong Humphrey’s Restraunt 14:40 12:40 – 13:50 Lunch A Multi-Level Probabilistic Neural Network [#2-10-0001] Ning Zong, Xia Hong Afternoon Lecture Sessions 14:00 – 16:00, Wednesday, June 6, 2007 15:00 Implement of Multi-Value Logic Based on Bi-Threshold Neu- WP01 Hou Men Hall ral Networks [#2-09-0107] Theory of Neural Networks Lecture Session Qiuxiang Deng, Meiqin Liu, Zhigang Zeng Chair: Cao, Jinde Co-Chair: Sun, Changyin 15:20 Genetic Granular Neural Networks [#2-05-0054] 14:00 Yan-Qing Zhang, Bo Jin, Yuchun Tang Exponential Stability of Discrete-Time Cohen-Grossberg Neu- 15:40 ral Networks with Delays [#1-04-0007] Emergence of Topographic Cortical Maps in a Parameterless Changyin Sun, Liang Ju, Hua Liang, Shoulin Wang Local Competition Network [#2-03-0026] 14:20 A. Ravishankar Rao, Guillermo Cecchi, Charles Peck, Novel LMI Criteria for Stability of Neural Networks with Dis- James Kozloski tributed Delays [#1-04-0041] Qiankun Song, Jianting Zhou WP03 Room B Image/Video Processing Lecture Session 14:40 Global Asymptotical Stability for Neural Networks with Mul- Chair: Guo, Lei tiple Time-Varying Delays [#1-04-0059] Co-Chair: Zhai, Junyong Jianlong Qiu, Jinde Cao, Zunshui Cheng 14:00 15:00 A New Approach for Image Restoration Based on CNN Pro- New Global Asymptotic Stability Criterion for Uncertain Neu- cessor [#2-04-0003] ral Networks with Time-Varying and Distributed Delays Jianye Zhao, Quansheng Ren, Jian Wang, [#1-04-0040] Hongling Meng Jiqing Qiu, Jinhui Zhang, Zhifeng Gao, Hongjiu Yang 14:20 15:20 Using Alpha-Beta Associative Memories to Learn and Recall Differences in Input Space Stability Between Using the In- RGB Images [#2-08-0011] verted Output of Amplifier and Negative Conductance for In- Cornelio Yanez-Marquez, Maria Elena Cruz-Meza, hibitory Synapse [#1-04-0058] Flavio Arturo Sanchez-Garfias, Itzama Lopez-Yanez Min-Jae Kang, Ho-Chan Kim, Wang-Cheol Song, Hee-Sang Ko, Jacek M. Zurada, Joonhoon Lee 14:40 A Method for Enlargement of Digital Images Based on Neural 15:40 Network [#3-03-0067] Dynamic Analysis of a Novel Artificial Neural Oscillator Jiufen Zhao, Jiuling Zhao, Xurong Zhang, [#3-09-0071] Qingzhen Li Daibing Zhang, Dewen Hu, Lincheng Shen, Haibin Xie 15:00 WP02 Wang Fu Hall Neural Network Based Visual Tracking with Multi-Cue Neural Network Architectures Lecture Session Adaptive Fusion [#3-03-0184] Yong-Wei Li, Shi-Qiang Hu, Peng Guo Chair: Liu, Meiqin Co-Chair: Sun, Changyin 15:20 Image Magnification Based on the Properties of Human Vi- 14:00 sual Processing [#3-03-0176] Topographic Infomax in a Neural Multigrid [#2-03-0022] Sung-Kwan Je, Kwang-Baek Kim, Jin-Young Lee, James Kozloski, Guillermo Cecchi, Charles Peck, Jae-Hyun Cho Ravishankar Rao 15:40 14:20 MR Image Registration Based on Pulse-Coupled Neural Net- A Forward Constrained Selection Algorithm for Probabilistic works [#3-03-0131] Neural Network [#2-10-0003] Zhiyong Qiu, Jiyang Dong, Zhong Chen

32 15:00 WP04 Room C Atrial Arrhythmias Detection Based on Neural Network Com- Fault Diagnosis/Detection Lecture Session bining Fuzzy Classifiers [#3-06-0024] Rongrong Sun, Yuanyuan Wang Chair: Yu, Wen Co-Chair: Tan, Yanghong 15:20 Recurrent Fuzzy Neural Network Based System for Battery 14:00 Charging [#2-05-0051] KPCA Plus FDA for Fault Detection [#2-12-0033] Rafik Aliev, Rashad Aliev, Babek Guirimov, Kaan Uyar Peiling Cui, Jiancheng Fang 15:40 14:20 A Novel Framework for Automatic Generation of Fuzzy Neu- Gear Fault Diagnosis by Using Wavelet Neural Networks ral Networks [#2-05-0036] [#3-10-0041] Yi Zhou, Meng Joo Er Yuan Kang, Chun-Chieh Wang, Yeon-Pun Chang 14:40 Interactive Sessions Adaptive Neural-Network Scheme for Rotorcraft UAV Sensor 16:00 – 18:00, Wednesday, June 6, 2007 Failure Diagnosis [#3-10-0021] Juntong Qi, Xingang Zhao, Zhe Jiang, Jianda Han WI01 Hou Men Hall Neural Network Architectures Interactive Session 15:00 Probabilistic Neural Network Based Method for Fault Diag- Chair: Han, Min nosis of Analog Circuits [#3-10-0020] Co-Chair: Zhang, Zhong Yanghong Tan, Yigang He, Meirong Liu 16:00 – 18:00 15:20 Multi-Valued Cellular Neural Networks and its Application Distribution System Fault Diagnosis Based on Improved for Associative Memory [#2-04-0005] Rough Sets with Uncertainty [#3-08-0023] Zhong Zhang Jing Dai, Qiuye Sun 16:00 – 18:00 15:40 A Novel Method of Constructing ANN [#2-12-0031] A Design Method of Associative Memory Model with Expect- Xiangping Meng, Quande Yuan, Yuzhen Pi, ing Fault-Tolerant Field [#2-08-0015] Jianzhong Wang Guowei Yang, Shoujue Wang, Qingxu Yan 16:00 – 18:00 WP05 Room D A Modified RBF Neural Network and its Application in Radar Neural Fuzzy Systems Lecture Session [#3-02-0055] Jun Yang, Xiaoyan Ma, Qianhong Lu, Bin Liu Chair: Er, Meng Joo Co-Chair: Zhang, Huaguang 16:00 – 18:00 A Hybrid Particle Swarm Algorithm for the Structure and Pa- 14:00 rameters Optimization of Feed-Forward Neural Network Realization of an Improved Adaptive Neuro-Fuzzy Inference [#2-09-0018] System in DSP [#2-05-0005] Xian-Lun Tang, Yin-Guo Li, Ling Zhuang Xing-Xing Wu, Xi-Lin Zhu, Xiao-Mei Li, Hao-Cheng Yu 16:00 – 18:00 14:20 The Kernelized Geometrical Bisection Methods [#3-06-0145] GA-Driven Fuzzy Set-Based Polynomial Neural Networks Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang with Information Granules for Multi-Variable Software Pro- 16:00 – 18:00 cess [#2-01-0046] A Novel Associative Memory System Based Modeling and Seok-Beom Roh, Sung-Kwun Oh, Prediction of TCP Network Traffics [#3-07-0054] Tae-Chon Ahn Jun-Song Wang, Zhi-Wei Gao, Ning-Shou Xu 14:40 16:00 – 18:00 Design of Fuzzy Relation-Based Polynomial Neural Networks Non-Flat Function Estimation Using Orthogonal Least Using Information Granulation and Symbolic Gene Type Ge- Squares Regression with Multi-Scale Wavelet Kernel netic Algorithms [#2-03-0023] [#2-12-0021] Sung-Kwun Oh, In-Tae Lee, Witold Pedrycz, Meng Zhang, Lihua Fu, Tingting He, Gaofeng Wang Hyun-Ki Kim

33 16:00 – 18:00 How Good Is the Backpropogation Neural Network Using a WI02 Wang Fu Hall Self-Organised Network Inspired by Immune Algorithm (SO- Neural Networks for Robotics Interactive Session NIA) When Used for Multi-Step Financial Time Series Pre- Chair: Li, Yangmin diction? [#3-01-0032] Co-Chair: Hu, Dewen Abir Jaafar Hussain, Dhiya Al-Jumeily 16:00 – 18:00 16:00 – 18:00 Neuro-Electrophysiological Argument on Energy Coding Hierarchical Fuzzy Neural Networks for Robotic 3D Sound [#1-05-0002] Source Sensing [#2-05-0008] Rubin Wang Fakheredine Keyrouz, Francisco Lazaro Blasco, Klaus Diepold 16:00 – 18:00 Orthogonal Least Squares Based on QR Decomposition for 16:00 – 18:00 Wavelet Networks [#2-09-0039] Attention Selection with Self-Supervised Competition Neural Min Han, Jia Yin Network and its Applications in Robot [#3-03-0076] Chenlei Guo, Liming Zhang 16:00 – 18:00 Hardware-Software Partitioning of Core-Based Systems Us- 16:00 – 18:00 ing Pulse Coupled Neural Networks [#3-01-0030] Kinematic Analysis, Obstacle Avoidance and Self-Localization Zhengwei Chang, Guangze Xiong for a Mobile Robot [#3-09-0004] Hongbo Wang, Xingbin Tian, Zhen Huang 16:00 – 18:00 An Occupancy Grids Building Method with Sonar Sensors 16:00 – 18:00 Based on Improved Neural Network Model [#3-09-0091] Design of an Artificial Bionic Neural Network to Control Fish- Hongshan Yu, Yaonan Wang, Jinzhu Peng Robot’s Locomotion [#3-09-0072] Daibing Zhang, Dewen Hu, Lincheng Shen, Haibin Xie 16:00 – 18:00 Integrated Analytic Framework for Neural Network Construc- 16:00 – 18:00 tion [#2-09-0117] A Rough Set and Fuzzy Neural Petri Net Based Method for Kang Li, Jian-Xun Peng, Minrui Fei, Xiaoou Li, Dynamic Knowledge Extraction, Representation and Wen Yu Inference in Cooperative Multiple Robot System [#3-09-0104] Hua Xu, Yuan Wang, Peifa Jia 16:00 – 18:00 Graph Matching Recombination for Evolving Neural 16:00 – 18:00 Networks [#2-06-0011] Enhance Computational Efficiency of Neural Network Predic- Ashique Mahmood, Sadia Sharmin, Debjanee Barua, tive Control for Mobile Robot Using PSO with Controllable Monirul Islam Random Exploration Velocity [#3-09-0108] Xin Chen, Yangmin Li 16:00 – 18:00 A Particular Gaussian Mixture Model for Clustering 16:00 – 18:00 [#2-12-0050] Appearance-Based Map Learning for Mobile Robot by Using Hichem Sahbi Generalized Regression Neural Network [#3-09-0114] Ke Wang, Wei Wang, Yan Zhuang 16:00 – 18:00 Ordering Grids to Identify the Clustering Structure 16:00 – 18:00 [#3-02-0066] A Behavior Controller for Mobile Robot Based on Spiking Yue Shihong, Wei Miaomiao, Li Yi Neural Networks [#3-09-0125] Xiuqing Wang, Zeng-Guang Hou, Anmin Zou, Min Tan 16:00 – 18:00 A Novel EPA-KNN Gene Classification Algorithm 16:00 – 18:00 [#3-12-0014] Ultrasonic Sensor Based Fuzzy-Neural Control Algorithm of Haijun Wang, Yaping Lin, Xinguo Lu, Yalin Nie Obstacle Avoidance for Mobile Robot [#3-09-0003] Hongbo Wang, Chaochao Chen, Zhen Huang 16:00 – 18:00 Reduce Feature Based NN for Transient Stability Analysis of 16:00 – 18:00 Large-Scale Power Systems [#3-10-0066] Fuzzy Neural Networks for Obstacle Recognition and Colli- Youping Fan, Min Xiong, Lu Liu, Cheng Tan, Jiguan Men, sion Avoidance of Fish Robots [#3-06-0085] Yunping Chen Seung Y. Na, Daejung Shin, Jin Y. Kim, Seong-Joon Baek, Byoung-Don Kim

34 16:00 – 18:00 16:00 – 18:00 Neural Network Based Algorithm for Multi-Constrained Using an Adaptive Self-Tuning Approach to Forecast of Power Shortest Path Problem [#3-05-0092] Loads [#3-08-0044] Jiyang Dong, Junying Zhang, Zhong Chen Zhiling Lin 16:00 – 18:00 16:00 – 18:00 A Quickly Searching Algorithm for Optimization Problems A Novel Residual Capacity Estimation Method Based on Ex- Based on Hysteretic Transiently Chaotic Neural Network tension Neural Network for Lead-Acid Batteries [#3-08-0079] [#3-05-0106] Kuei-Hsiang Chao, Meng-Hui Wang, Chia-Chang Hsu Xiuhong Wang, Qingli Qiao 16:00 – 18:00 Diagnosis of Turbine Valves in the Kori Nuclear Power Plant WI03 Room B Using Fuzzy Logic and Neural Networks [#3-10-0040] Industrial Applications Lecture Session Hyeon Bae, Yountae Kim, Gyeongdong Baek, Chair: Li, Xiaoli Byung-Wook Jung, Sungshin Kim, Jung-Pil Shin Co-Chair: Guo, Lei 16:00 – 18:00 16:00 – 18:00 Delay-Dependent Fault Detection and Diagnosis Using Application of Wavelet Packet Neural Network on Relay Pro- B-Spline Neural Networks and Nonlinear Filters for Time- tection Testing of Power System [#3-08-0045] Delay Stochastic Systems [#3-10-0008] Xinwei Du, Yuan Li, Dichen Liu Tao Li, Lei Guo, Hong Wang 16:00 – 18:00 16:00 – 18:00 A Neural Network Based Optimization Method for a Kind of Hybrid Intelligent Modeling Approach for the Ball Mill Grind- QPPs and Applications [#3-05-0046] ing Process [#3-13-0047] Shieh-Shing Lin Ming Tie, Jing Bi, Yushun Fan 16:00 – 18:00 16:00 – 18:00 Application of ADP to Intersection Signal Control Multi-View Moving Human Detection and Corresponding [#3-05-0135] Based on Object Occupancy Random Field [#3-03-0133] Tao Li, Dongbin Zhao, Jianqiang Yi Jian Xu, Xiao-Qing Ding, Sheng-Jin Wang, You-Shou Wu 16:00 – 18:00 16:00 – 18:00 Robust Stabilization of Uncertain Nonlinear Differential Determination of Storage Time of Rice Seed Using ANN -Algebraic Subsystem Using ANN with Application to Power Based on Vis/NIRS [#3-04-0028] Systems [#3-08-0061] Dengsheng Zhu, Xiaoli Li Qiang Zang, Xianzhong Dai 16:00 – 18:00 16:00 – 18:00 Network Anomaly Detection Based on DSOM and ACO Clus- Approximation Capability Analysis of Parallel Process Neu- tering [#3-04-0054] ral Network with Application to Aircraft Engine Health Con- Yong Feng, Jiang Zhong, Zhong-Yang Xiong, dition Monitoring [#3-10-0004] Chun-Xiao Ye, Kai-Gui Wu Gang Ding, Shisheng Zhong 16:00 – 18:00 16:00 – 18:00 An Intelligent Differential Evolution Algorithm for Designing Automatic Diagnosis of Foot Plant Pathologies: A Neural Trading-Ratio System of Water Market [#3-05-0021] Networks Approach [#3-13-0058] Ying Liu, Bo Liu, Jikun Huang, Yunhua Wu, Ling Wang, Marco Mora, Mary Carmen Jarur, Daniel Sbarbaro, Yihui Jin Leopoldo Pavesi 16:00 – 18:00 16:00 – 18:00 A Genetic Algorithm-Based Artificial Neural Network Ap- Neural Network Based High Accuracy Frequency Harmonic proach for Parameter Selection in the Production of Tailor- Analysis in Power System [#3-08-0014] Welded Blanks [#3-09-0135] Xiaohua Wang, Yigang He Yun Liu, De Xu, Min Tan, Yongqian Zhang 16:00 – 18:00 16:00 – 18:00 Hydro Plant Dispatch Using Artificial Neural Network and Effects of Salinity on Measurement of Water Volume Fraction Genetic Algorithm [#3-08-0038] and Correction Method Based on RBF Neural Networks Po-Hung Chen [#3-13-0028] Chunguo Jing, Guangzhong Xing, Bin Liu, Qiuguo Bai

35 16:00 – 18:00 Dongmei Liu, Zhaoxia Wang Driver Fatigue Detection by Fusing Multiple Cues 16:00 – 18:00 [#3-03-0116] Fuzzy Support Vector Machine for EMG Pattern Recognition Rajinda Senaratne, David Hardy, Bill Vanderaa, and Myoelectrical Prosthesis Control [#2-12-0029] Saman Halgamuge Lingling Chen, Peng Yang, Xiaoyun Xu, Xin Guo, 16:00 – 18:00 Xueping Zhang A Wavelet-Based Neural Network Applied to Surface Defect 16:00 – 18:00 Detection of LED Chips [#3-03-0166] A Method Based on ICA and SVMGMM for Mixed Acoustic Hong-Dar Lin, Chung-Yu Chung Objects Recognition [#3-02-0027] 16:00 – 18:00 Yaobo Li, Zhiliang Ren, Gong Chen, Changcun Sun Dynamics of Window-Based Network Congestion Control Sys- 16:00 – 18:00 tem [#3-07-0007] A Novel Feature Vector Using Complex HRRP for Radar Tar- Hong-Yong Yang, Fu-Sheng Wang, Xun-Lin Zhu, get Recognition [#3-02-0044] Si-Ying Zhang Lan Du, Hongwei Liu, Zheng Bao, Feng Chen WI04 Room C 16:00 – 18:00 Neural Networks for Interactive Session Face Recognition from a Single Image Per Person Using Com- Pattern Recognition II mon Subfaces Method [#3-03-0106] Jun-Bao Li, Jeng-Shyang Pan, Shu-Chuan Chu Chair: Zhou, Chunguang Co-Chair: Lu, Bao-Liang 16:00 – 18:00 Radial Basis Probabilistic Neural Networks Committee for 16:00 – 18:00 Palmprint Recognition [#3-06-0038] A Probabilistic Approach to Feature Selection for Multi-Class Ji-Xiang Du, Chuan-Min Zhai, Yuan-Yuan Wan Text Categorization [#3-04-0107] 16:00 – 18:00 Ke Wu, Bao-Liang Lu, Masao Uchiyama, Hitoshi Isahara Two-Dimensional Bayesian Subspace Analysis for Face Recog- 16:00 – 18:00 nition [#3-06-0143] A Novel Off-Line Signature Verification Based on Adaptive Daoqiang Zhang Multi-Resolution Wavelet Zero-Crossing and One-Class-One- 16:00 – 18:00 Network [#3-06-0099] A Fast New Small Target Detection Algorithm Based on Reg- Zhiqiang Ma, Xiaoyun Zeng, Lei Zhang, Meng Li, ularizing Partial Differential Equation in IR Clutter Chunguang Zhou [#3-03-0178] 16:00 – 18:00 Biyin Zhang, Tianxu Zhang, Kun Zhang Graphic Symbol Recognition of Engineering Drawings Based 16:00 – 18:00 on Multi-Scale Autoconvolution Transform [#3-03-0050] Target Recognition of FLIR Images on Radial Basis Function Chuan-Min Zhai, Ji-Xiang Du Neural Network [#2-01-0037] 16:00 – 18:00 Jun Liu, Xiyue Huang, Yong Chen, Naishuai He A Face Recognition System Based on Pseudo 2D HMM Ap- 16:00 – 18:00 plied to Neural Network Coefficients [#3-03-0162] Biological Sequence Data Preprocessing for Classification: A Vitoantonio Bevilacqua Case Study in Splice Site Identification [#2-01-0031] 16:00 – 18:00 Baten A. K. M. Abdul, Halgamuge Saman, Chang Bill, Recognition of ECOG in BCI Systems Based on a Chaotic Wickramarachchi Nalin Neural Model [#3-06-0013] 16:00 – 18:00 Ruifen Hu, Guang Li, Meng Hu, Jun Fu, Handling Missing Data From Heteroskedastic and Nonsta- Walter J. Freeman tionary Data [#2-09-0137] 16:00 – 18:00 Fulufhelo Vincent Nelwamondo, A Contourlet-Based Method for Wavelet Neural Network Au- Tshilidzi Marwala tomatic Target Recognition [#3-06-0088] 16:00 – 18:00 Xue Mei, Liangzheng Xia, Jiuxian Li Incorporating Image Quality in Multimodal Biometric Verifi- 16:00 – 18:00 cation [#2-12-0006] A Method of X-Ray Image Recognition Based on Fuzzy Rule Hong Huang, Jianwei Li, Zezhong Ma, and Parallel Neural Networks [#3-06-0090] Hailiang Feng

36 16:00 – 18:00 WI05 Room D The Hybrid Principal Component Analysis Based on Wavelets Neural Networks for Interactive Session and Moving Median Filter [#2-14-0022] Signal Processing II Cheng-Lin Wen, Shao-Hui Fan, Zhi-Guo Chen Chair: Wen, Cheng-Lin 16:00 – 18:00 Co-Chair: Cichocki, Andrezej Texture Image Segmentation Based on Improved Wavelet Neu- ral Network [#3-03-0137] 16:00 – 18:00 Deng-Chao Feng, Zhao-Xuan Yang, Xiao-Jun Qiao Prediction of Chaotic Time Series Using LS-SVM with Sim- 16:00 – 18:00 ulated Annealing Algorithms [#3-01-0018] Image Segmentation Based on Cluster Ensemble [#3-03-0153] Meiying Ye Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang 16:00 – 18:00 16:00 – 18:00 An Intelligent Hybrid Approach for Designing Increasing Trans- Unbiased Linear Neural-Based Fusion with Normalized lation Invariant Morphological Operators for Time Series Fore- Weighted Average Algorithm for Regression [#3-04-0109] casting [#3-01-0037] Yunfeng Wu, S. C. Ng Ricardo De Andrade Araujo, Robson Pequeno De Sousa, Tiago Alessandro Espinola Ferreira 16:00 – 18:00 Registration of 3D FMT and CT Images of Mouse via Affine 16:00 – 18:00 Transformation with Bayesian Iterative Closest Points Soft-Computing Techniques for Time Series Prediction Using [#3-13-0039] Box-Jenkins Methodology [#3-01-0065] Zheng Xia, Xiaobo Zhou, Youxian Sun, Stephen Wong Ignacio Rojas, Olga Valenzuela 16:00 – 18:00 16:00 – 18:00 Blind Separation of Positive Signals by Using Genetic Algo- Soft Decision-Driected Square Contour Algorithm for Blind rithm [#3-02-0073] Equalization [#3-02-0074] Mao Ye Shunlan Liu, Mingzeng Dai 16:00 – 18:00 Regularized Alternating Least Squares Algorithms for Non- Negative Matrix (Tensor) Factorization [#3-02-0088] Andrzej Cichocki, Rafal Zdunek 16:00 – 18:00 3D Reconstruction Approach Based on Neural Network [#3-03-0034] Haifeng Hu, Zhi Yang 16:00 – 18:00 Probabilistic Motion Switch Tracking Method Based on Mean Shift and Double Model Filters [#3-03-0170] Risheng Han, Zhongliang Jing, Gang Xiao 16:00 – 18:00 RBF Neural Networks for Solving the Inverse Problem of Backscattering Spectra [#3-05-0109] Michael Li, Brijesh Verma, Xiaolong Fan, Kevin Tickle 16:00 – 18:00 Spectral Correspondence Using the TPS Deformation Model [#3-06-0037] Jun Tang, Nian Wang, Dong Liang, Yi-Zheng Fan, Zhao-Hong Jia 16:00 – 18:00 Relative Principle Component and Relative Principle Compo- nent Analysis Algorithm [#2-14-0021] Cheng-Lin Wen, Jing Hu, Tian-Zhen Wang End of the symposium, 18:00

37 Author Index

C = Chair, CC = Co-Chair Cecchi, Guillermo , 32 Cecchi, Stefania , 19, 27 Abdul, Baten A. K. M. , 36 Celikoglu, Hilmi Berk , 29 Abiyev, Rahib , 19 Cervantes, Jair , 24 Afzulpurkar, Nitin V. , 30 Chai, Lin , 22 Ahmad, Khurshid , 16 Chai, Tianyou , 15, 19, 21, 31 Ahmed, Rafiq , 20 Chai, Yumei , 24 Ahn, Tae-Chon , 33 Chandra, Sekhar C., 27 Ai, Lingmei , 18 Chang, Bao Rong , 31 Al-Jumeily, Dhiya , 34 Chang, Guoliang , 28 Al-Shanableh, Tayseer , 19 Chang, Hyung Jin , 24 Aliev, Rafik , 33 Chang, Shengjiang , 18 Aliev, Rashad , 33 Chang, Thoon Khin , 24 Amari, Shun-Ichi , 29 Chang, Yeon-Pun , 33 Amiri, Mahmood , 30 Chang, Zhengwei , 34 Anitha, R., 27 Chao, Kuei-Hsiang , 35 Araujo, Ricardo De Andrade , 37 Che, Haijun , 23 Aung, Min , 31 Chen, Boshan , 17 Chen, Caiyun , 27, 31 Bae, Hyeon , 35 Chen, Chaochao , 34 Baek, Gyeongdong , 35 Chen, Dingguo , 25, 26 Baek, Seong-Joon , 28, 34 Chen, Feng , 22, 36 Bai, Qiuguo , 35 Chen, Gong , 36 Bai, Rui , 19 Chen, Huahong , 22 Bai, Xuerui , 23 Chen, Huawei, 22 Balakrishnan, S. N. , 21 Chen, Hung-Cheng , 29 Bambang, Riyanto , 16 Chen, Jianxin , 31 Bao, Qiong , 26 Chen, Jie , 23 Bao, Zheng , 36 Chen, Jing , 31 Barua, Debjanee , 34 Chen, Jinhuan , 17 Basar, Tamer , 15, 21 Chen, Joseph C. , 19, 20 Bastari, Alessandro , 27 Chen, Juan , 18 Beadle, Patch , 28 Chen, Lanfeng , 22 Bevilacqua, Vitoantonio , 20, 36 Chen, Le , 26 Bhushan, Naga , 27 Chen, Lei , 22 Bi, Jing , 35 Chen, Li-Chao , 24 Bill, Chang , 36 Chen, Lingling , 36 Blasco, Francisco Lazaro , 34 Chen, Minyou , 19 Boumaiza, Slim , 29 Chen, Mou , 26 Chen, Mu-Song , 20 Cai, Manjun , 26 Chen, Ping , 19 Cai, Wenchuan , 25 Chen, Po-Hung , 29, 35 Cai, Zixing , 16 Chen, Qihong , 26 Cai, Zixing (CC), 16 Chen, Rongchang , 26 Canu, Stephane , 31 Chen, Shu-Zhen , 25 Cao, Feilong , 17 Chen, Tianping , 17 Cao, Feng-Wen , 23 Chen, Ting-Yu , 18 Cao, Jinde , 15, 17, 32 Chen, Weisheng , 26 Cao, Jinde (C), 32 Chen, Wen-Hua , 26 Cao, Jinde (CC), 15 Chen, Xiaowei , 24 Cao, Shujuan , 33 Chen, Xin , 34 Carpenter, Gail , 23 Chen, Xiyuan , 18

38 Chen, Ya zhu , 25 Du, Lan , 36 Chen, Ying , 18 Du, Xin , 16 Chen, Yong , 29, 36 Du, Xinwei , 35 Chen, Yuehui , 20, 22 Du, Yina , 29 Chen, Yuehui (C), 20 Du, Zhigang , 30 Chen, Yuehui (CC), 22 Duan, Lijuan , 20 Chen, Yunping , 34 Duan, Zhe Min , 18 Chen, Zhi-Guo , 37 Duan, Zhuohua , 16 Chen, Zhimin , 30 Chen, Zhong , 32, 35 El-Bakry, Hazem , 20 Chen, Zhongsong , 26 Er, Meng Joo , 33 Cheng, Jian , 25 Er, Meng Joo (C), 33 Cheng, Zunshui , 32 Er, Meng Joo (CC), 18 Chi, Qinglei , 22 Etchells, Terence , 31 Chi, Zheru , 21 Fan, Fuling , 24 Chiu, Ming-Hui , 19 Fan, Huaiyu , 18 Cho, Jae-Hyun , 32 Fan, Liping , 28 Cho, Sungzoon , 21 Fan, Shao-Hui , 37 Choi, Jeoung-Nae , 19 Fan, Xiaolong , 37 Choi, Jin Young , 24 Fan, Yi-Zheng , 37 Chu, Shu-Chuan , 36 Fan, Youping , 34 Chung, Chung-Yu , 36 Fan, Yushun , 35 Cichocki, Andrezej (CC), 37 Fang, Hui , 26 Cichocki, Andrzej , 26, 37 Fang, Jiancheng , 33 Cruz-Meza, Maria Elena , 32 Fang, Shengle , 30 Cuadros-Vargas, Ernesto , 20 Fang, Zhongjie , 24 Cui, Baotong , 17 Farrell, Jay A. , 11, 21 Cui, Peiling , 33 Farrell, Jay A. (CC), 15 Dai, Daoqing , 17 Fazil, Aamir , 20 Dai, Jing , 33 Fei, Minrui , 34 Dai, Mingzeng , 37 Fei, Shumin , 16, 22, 26 Dai, Shaosheng , 24 Fei, Shumin (CC), 21 Dai, Xianzhong , 25, 35 Feng, Chun-Bo , 30 Davies, Anthony , 16 Feng, Deng-Chao , 37 de Almeida, Anibal T. , 26 Feng, Hailiang , 36 De Musso, Cosimo Giovanni , 20 Feng, Jian , 31 De Sousa, Robson Pequeno , 37 Feng, Jian (C), 31 Dell’Orco, Mauro , 29 Feng, Yong , 35 Deng, Qiuxiang , 32 Feng, Yue , 30 Diepold, Klaus , 34 Ferreira, Tiago Alessandro Espinola , 37 Dillon, Tharam , 16 Florez-Choque, Omar , 20 Ding, Gang , 35 Freeman, Walter J. , 36 Ding, Mingli , 27 Fu, Chaojin , 17 Ding, Mingwei , 16 Fu, Jiacai , 20 Ding, Mingwei (CC), 16 Fu, Jun , 36 Ding, Xiao-Qing , 35 Fu, Lihua , 33 Ding, Xiaoshuai, 22 Fu, Mingang , 30 Ding, Xiaoyan , 30 Fu, Pan , 19 Dong, Jiyang , 32, 35 Fyfe, Colin , 30 Dore, Kathryn , 20 Gao, Chao , 29 Dou, Fuping , 23 Gao, Cunchen , 17 Du, Ji-Xiang , 23, 36 Gao, Jian , 24 Du, Junping , 29 Gao, Jinwu , 18 Du, Junping (C), 29 Gao, Junbin , 33

39 Gao, Liang , 30 He, Lihong , 22 Gao, Liqun , 16, 27 He, Naishuai , 36 Gao, Ming , 17 He, Tingting , 33 Gao, Shaoxia , 29 He, Xin , 25 Gao, Song , 15 He, Yigang , 33, 35 Gao, Wen , 20 He, Zhaoshui , 26 Gao, Ying , 18 He, Zhenya , 31 Gao, Zhi-Wei , 33 He,Yigang , 27 Gao, Zhifeng , 32 Hirasawa, Kotaro , 15 Gardner, Andrew , 20 Hoang, Minh-Tuan Trong , 22 Gasso, Gilles , 31 Hong, Chin-Ming , 16 Ge, Baoming , 26 Hong, Sang-Jeen , 28 Ge, Junbo , 28 Hong, Xia , 32 Ghannouchi, Fadhel M. , 29 Hope, Tony , 19 Glantschnig, Paul , 31 Hou, Xia , 18 Grossberg, Stephen , 23 Hou, Zeng-Guang , 23, 26, 34 Gu, Xingsheng , 26 Hou, Zeng-Guang (C), 23 Gu, Yingkui , 28 Hou, Zeng-Guang (CC), 15 Guan, Huan-Xin , 15 Hou, Zhongsheng , 18 Guan, Peng , 15, 21 Hou, Zhongsheng (CC), 18 Guirimov, Babek , 33 Hsu, Arthur , 28 Guo, Chengan , 25 Hsu, Chia-Chang , 35 Guo, Chenlei , 34 Hu, Dewen , 32, 34 Guo, Chuande , 15 Hu, Dewen (CC), 34 Guo, Lei , 26, 29, 35 Hu, Haifeng , 37 Guo, Lei (C), 29, 32 Hu, Jing , 37 Guo, Lei (CC), 35 Hu, Jinglu , 15 Guo, Li , 16, 27 Hu, Jingtao , 18 Guo, Ling , 25 Hu, Meng , 36 Guo, Peng , 18, 32 Hu, Ruifen , 36 Guo, Ping , 17 Hu, Sanqing , 20 Guo, Wensheng , 29 Hu, Shi-Qiang , 32 Guo, Xin , 36 Hu, Shousong , 18 Hu, Wei , 18 Hadzic, Fedja , 16 Hu, Xiaolin , 17 Halgamuge, Saman , 28, 36 Hu, Xuelei , 24 Hamaguchi, Kosuke , 29 Hu, Yun-An , 30 Han, Feng , 23 Huang, Benxiong , 28, 31 Han, Feng-Qing , 24 Huang, Bernie , 19 Han, Jianda , 33 Huang, Dexian , 24 Han, Jiu-Qiang , 20 Huang, Dong , 20 Han, Min , 34 Huang, Fu-Kuo , 29 Han, Min (C), 33 Huang, Guang-Bin , 22 Han, Mun-Sung , 31 Huang, Guang-Bin (C), 22 Han, Pu , 27 Huang, Hong , 36 Han, Risheng , 37 Huang, Hong-Zhong , 28 Han, Seung-Soo , 28 Huang, Jikun , 35 Hao, Zhifeng , 19 Huang, Kai , 23 Hardy, David , 36 Huang, Liangli , 25 He, Dakuo , 30 Huang, Liyu , 18 He, Fen , 18 Huang, Peng , 23 He, Haibo , 30 Huang, Qingbao , 28 He, Haibo (C), 30 Huang, Tingwen , 19 He, Haibo (CC), 23 Huang, Xinsheng , 28 He, Huafeng , 27 Huang, Xiyue , 36

40 Huang, Yuancan , 17 Kao, Tzu-Ping , 18 Huang, Yuchun , 28, 31 Kao, Yonggui , 17 Huang, Zailu , 31 Kaynak, Okyay , 16 Huang, Zhen , 34 Kaynak, Okyay (CC), 16 Huo, Lin-Sheng , 26 Ke, Haisen , 27 Hussain, Abir Jaafar , 34 Kelleher, Dermot , 16 Huynh, Hieu Trung , 22 Keyrouz, Fakheredine , 34 Hwang, Chi-Pan , 20 Kil, Rhee Man , 24, 31 Hwang, Seong-Seob , 21 Kim, Byoung-Don , 34 Kim, Dae Young , 25 Irwin, George W. , 29 Kim, Dong-Jun , 19 Isahara, Hitoshi , 36 Kim, Dong-Seop , 28 Islam, Monirul , 34 Kim, Ho-Chan , 32 Iwamura, Kakuzo , 18 Kim, Ho-Joon , 23 Kim, Hyun-Ki , 33 Jarur, Mary Carmen , 35 Kim, Jin Y. , 34 Je, Sung-Kwan , 32 Kim, Jin Young , 28 Ji, Ce , 15 Kim, Kwan W. , 19 Ji, Geng , 22 Kim, Kwang-Baek , 23, 32 Ji, Guori , 27 Kim, Kyeong-Seop , 19 Jia, Huading , 24 Kim, Pyo Jae , 24 Jia, Peifa , 19, 34 Kim, Seoksoo , 28, 31 Jia, Xiaofeng , 22 Kim, Sungshin , 35 Jia, Yunde , 21 Kim, Tai-Hoon , 28 Jia, Zhao-Hong , 37 Kim, Yong-Kab , 19 Jian, Jigui , 15, 17 Kim, Yountae , 35 Jian, Shu , 17 Ko, Hee-Sang , 32 Jiang, Chang-Sheng , 26 Konakoglu, Ekrem , 16 Jiang, Chenwei , 20 Koo, Imhoi , 24 Jiang, Haijun, 15 Kozloski, James , 32 Jiang, Minghui , 17, 30 Kumar, Pradeep , 27 Jiang, Nan , 29 Kurnaz, Sefer , 16 Jiang, Yunfei , 17 Jiang, Zhe , 33 Lai, Pei Ling , 30 Jiao, Li-Cheng , 25 Lee, Ching-Hung , 18, 19 Jin, Bo , 32 Lee, In-Tae , 33 Jin, Xuexiang , 25 Lee, Jeong-Whan , 19 Jin, Yihui , 24, 35 Lee, Jin-Young , 32 Jing, Chunguo , 35 Lee, Joonhoon , 32 Jing, Zhongliang , 37 Lee, Joseph , 23 Jo, Taeho , 20, 24 Lee, Malrey , 20, 24 Johan, Lofberg , 30 Lee, Shie-Jue , 24 Joseph C. Chen (CC), 19 Lee, Sung-Joon , 28 Ju, Chunhua , 25 Lee, Tsai-Sheng , 16 Ju, Liang , 32 Lee, Wei-Po , 19 Ju, Minseong , 28 Lee, Yang Weon , 21 Ju, Ping , 28 Leu, Yih-Guang , 16 Jun, Kong , 21 Li, Bin , 16, 22 Jung, Byung-Wook , 35 Li, Chuandong , 19 Jung, Young-Giu , 31 Li, Chunhua , 25 Kanae, Shunshoku , 22, 31 Li, Demin , 31 Kang, Jingli , 22 Li, Demin (CC), 31 Kang, Min-Jae , 32 Li, Deyi, 21 Kang, Sangki , 28 Li, Guang , 36 Kang, Yuan , 33 Li, Haibin , 17

41 Li, Hailong , 29 Liang, Jinling , 30 Li, Haisheng , 23 Liang, Rui , 18 Li, Hong-Nan , 26 Liang, Xun , 26 Li, Hongru , 29 Liang, Yanchun , 19 Li, Hongzhi , 21 Liang, Yong , 24 Li, Jianwei , 36 Liao, Chen , 25 Li, Jing , 24, 30 Liao, Longtao , 18 Li, Jiuxian , 25, 36 Liao, Wudai , 17 Li, Jun , 29 Liao, X. H. , 25 Li, Jun-Bao , 36 Liao, Xiao-Feng , 24 Li, Kang , 24, 29, 34 Liao, Xiaohong , 25 Li, Liming , 25 Liao, Xiaoxin , 15, 17, 30 Li, Linfeng , 28 Liao, Xiaoxin (C), 15 Li, Meng , 18, 36 Liao, Xiaoxin (CC), 17 Li, Michael , 37 Lim, Jun-Seok , 16, 31 Li, Ming-Bin , 22 Lim, Junseok , 22 Li, Ping , 30 Lim, Junseok (CC), 22 Li, Qing , 19 Lin, Chuan Ku , 20 Li, Qingdu , 29 Lin, Hong-Dar , 36 Li, Qingguo , 15 Lin, Shieh-Shing , 35 Li, Qingzhen , 32 Lin, Sida , 17 Li, Ronghua , 27 Lin, Xiaofeng , 28 Li, San-Ping , 25 Lin, Xiaofeng (C), 28 Li, Shaoyuan , 18 Lin, Yaping , 34 Li, Shaoyuan (C), 18 Lin, Yu-Ching , 18 Li, Shutao , 25 Lin, Zhiling , 35 Li, Tao , 16, 26, 35 Ling, Ping , 25 Li, Weidong , 17 Lisboa, Paulo , 31 Li, Weimin , 20 Liu, Benyong , 24 Li, Xiao-Mei , 33 Liu, Bin , 33, 35 Li, Xiaoli , 16, 35 Liu, Bo , 24, 35 Li, Xiaoli (C), 16, 35 Liu, Derong , 21, 22, 26 Li, Xiaoou , 24, 29, 34 Liu, Derong (C), 15 Li, Yan , 20 Liu, Dianting , 23 Li, Yangmin , 16, 34 Liu, Dichen , 35 Li, Yangmin (C), 16, 34 Liu, Dongmei , 36 Li, Yanwen , 18 Liu, Fei , 27 Li, Yaobo , 36 Liu, Guangjun , 19 Li, Ye , 19 Liu, Guohai , 22, 29 Li, Yi , 34 Liu, Guohai (C), 22 Li, Yibin , 22 Liu, Guohai (CC), 29 Li, Yin-Guo , 33 Liu, Hongwei , 36 Li, Ying-Hong , 22, 30 Liu, Huaping , 24 Li, Yong-Wei, 18 Liu, Jilin , 16 Li, Yong-Wei , 32 Liu, Jin , 27 Li, Yu-Fei , 30 Liu, Jincun , 26 Li, Yuan , 35 Liu, Jinguo , 16 Li, Yue , 30 Liu, Jizhen , 19 Li, Yunxia , 27 Liu, Ju , 21 Li, Zhengxue , 22 Liu, Jun , 36 Lian, Qiu-Sheng , 25 Liu, Lu , 34 Lian, Shiguo , 30 Liu, Meiqin , 17, 32 Liang, Dong , 37 Liu, Meiqin (C), 17, 32 Liang, Hua , 25, 31, 32 Liu, Meirong , 33 Liang, Hua (C), 30 Liu, Shuhui , 23

42 Liu, Shunlan , 37 Ma, Xiaolong , 23 Liu, Taijun , 29 Ma, Xiaomin , 29 Liu, Tao , 29 Ma, Xiaoyan , 33 Liu, Tianzhen , 23 Ma, Zezhong , 36 Liu, Wen , 30 Ma, Zhiqiang , 36 Liu, Wenhui , 27 Mahmood, Ashique , 34 Liu, Xiangjie , 19 Mamedov, Fakhreddin , 19 Liu, Xiaohe , 19 Mao, Bing-Yi , 25 Liu, Xiaohua , 27 Marwala, Tshilidzi , 23, 36 Liu, Xiaomao , 33 Massey, Louis , 17 Liu, Yan-Kui , 19 Mastorakis, Nikos , 20 Liu, Ying , 35 Mastronardi, Giuseppe , 20 Liu, Yinyin , 15, 16 May, Gary , 28 Liu, Yongguo , 24 Mei, Xue , 36 Liu, Yun , 35 Mei, Xuehui, 15 Liu, Yunfeng , 27 Men, Jiguan , 34 Liu, Zengrong , 17 Meng, Hongling , 27, 32 Liu, Zhi-Qiang , 19 Meng, Xiangping , 33 Liu, Zhongxuan , 30 Menolascina, Filippo , 20 Lloyd, Stephen , 21 Miao, Jun , 20 Long, Aideen , 16 Min, Lequan , 17 Long, Fei , 27 Mitra, Vikramjit , 27 Long, Jinling , 18 Mo, Xiaohui , 26 Loosli, Gaelle , 31 Mohler, Ronald , 25, 26 Lopez-Yanez, Itzama , 23, 32 Mora, Marco , 35 Lu, Bao-Liang , 20, 36 Moreno-Armendariz, Marco , 29 Lu, Bao-Liang (CC), 36 Lu, Bin , 18 Na, Seung Y. , 34 Lu, Hong Tao , 25 Na, Seung You , 28 Lu, Qianhong , 33 Nalin, Wickramarachchi , 36 Lu, Wenlian , 17 Nan, Dong , 18 Lu, Xinguo , 34 Naval, Prospero , 30 Lu, Yinghua , 18, 21 Navalertporn, Thitipong , 30 Luan, Xiaoli , 27 Nelwamondo, Fulufhelo Vincent , 36 Lum, Kok Siong , 20 Ng, S. C. , 37 Luo, Qi , 15, 22 Nguyen, Minh Nhut , 20 Luo, Shiguang , 31 Ni, Junchao , 26 Luo, Siwei , 20 Nian, Xiaoling , 22 Luo, Wen , 25 Nie, Xiaobing , 17 Luo, Yan , 26 Nie, Yalin , 34 Luo, Yirong , 30 Niu, Lin , 30 Lv, Baoliang , 25 Oh, Sung-Kwun , 19, 33 Lv, Baoliang (C), 24 Ong, Yew-Soon, 31 Lv, Guofang , 25 Ong, Yew-Soon (CC), 31 Ma, Chengwei , 18 Ou, Fan , 23 Ma, Enjie , 19 Ou, Zongying , 23 Ma, Honglian , 25 Pan, Jeng-Shyang , 36 Ma, Jia , 26 Pan, Jianguo , 24 Ma, Jianying , 28 Pan, Li-Hu , 24 Ma, Jieming , 20 Pan, Quan , 15 Ma, Jinwen , 23, 24 Pang, Zhongyu , 21 Ma, Jun , 29 Parisini, Thomas , 15, 21 Ma, Shugen , 16 Park, Aaron , 28 Ma, Xiaohong , 27, 30 Park, Cheol-Sun , 25

43 Park, Cheonshu , 23 Ryu, Joung Woo , 23 Park, Choong-Shik , 23 Park, Dong-Chul , 27, 28 Saeb, Sohrab , 30 Park, Jong Goo , 19 Sahbi, Hichem , 34 Park, Sang Kyoon , 31 Saman, Halgamuge , 36 Pavesi, Leopoldo , 35 Sanchez-Garfias, Flavio Arturo , 32 Peck, Charles , 32 Sang, Haifeng , 30 Pedone, Antonio , 20 Sang, Haifeng (CC), 30 Pedrycz, Witold , 33 Sasakawa, Takafumi , 15 Pei, Wenjiang , 31 Savage, Mandara , 20 Peipei Liu, 22 Sbarbaro, Daniel , 35 Peng, Daogang , 26 Schikuta, Erich , 31 Peng, Jian-Xun , 34 Senaratne, Rajinda , 36 Peng, Jinzhu , 16, 34 Seo, Ki-Sung , 19 Pi, Yuzhen , 33 Seredynski, Franciszek , 22 Pian, Zhaoyu , 16, 27 Shang, Li , 23 Piazza, Francesco , 19, 27 Shang, Yan , 25 Piazza, Francesco (CC), 27 Shao, Xinyu , 30 Pizzileo, Barbara , 29 Sharmin, Sadia , 34 Pollari, Frank , 20 Shen, Jinyuan , 18 Polycarpou, Marios M. , 21 Shen, Lincheng , 32, 34 Polycarpou, Marios M. (C), 15 Shen, Yehu , 16 Pu, Xiaorong , 24 Shen, Yi , 17, 30 Shen, Yi (C), 30 Qi, Juntong , 33 Shen, Yongjun , 26 Qian, Jian-Sheng , 25 Shen, Yue , 22, 29 Qian, Juying , 28 Sheng, Li , 17 Qiao, Chen , 21 Shi, Hao Shan , 18 Qiao, Junfei, 19 Shi, Juan , 20 Qiao, Qingli , 35 Shi, Yanhui , 17 Qiao, Xiao-Jun , 37 Shin, Daejung , 34 Qin, Lixu , 20 Shin, Jung-Pil , 35 Qing, Laiyun , 20 Shin, Sung Hwan , 28 Qiu, Jianlong , 32 Siew, Chee-Kheong , 22 Qiu, Jiqing , 32 Skaruz, Jaroslaw , 22 Qiu, Zhiyong , 32 Sohn, Joo-Chan , 23 Qu, Di, 22 Song, Chunning , 28 Quan, Jin , 26 Song, David , 25 Song, Dong Sung , 24 Rao, A. Ravishankar, 32 Song, Jaegu , 31 Rao, Ravishankar , 32 Song, Jinya , 25, 28, 31 Ren, Dianbo , 18 Song, Kai , 27 Ren, Guanghui , 31 Song, Qiankun , 32 Ren, Quansheng , 27, 32 Song, Shaojian , 28 Ren, Shi-Jin , 24 Song, Wang-Cheol , 32 Ren, Zen , 30 Song, Xiaoxiao , 28 Ren, Zhiliang , 36 Song, Yong , 22 Rodriguez, Floriberto Ortiz , 29 Song, Young-Soo , 27 Roh, Seok-Beom , 33 Song, Yuehua , 19 Rohatgi, A. , 28 Song, Zhuo , 20 Rojas, Ignacio , 37 Squartini, Stefano , 19, 27 Roman-Godinez, Israel , 23 Squartini, Stefano (C), 19 Rosa, Joao Luis , 27 Starzyk, Janusz , 15, 16, 30 Rossini, Michele , 19 Starzyk, Janusz (C), 15 Rubio, Jose de Jesus , 24 Stead, Matt , 20

44 Sun, Changcun , 36 Vilakazi, Christina Busisiwe , 23 Sun, Changyin , 25, 28, 32 Vo, Nguyen Ha , 22 Sun, Changyin (CC), 21, 28, 32 Vogel, David, 15 Sun, Fuchun , 24 Volkov, Yuri , 16 Sun, Fuchun (C), 23 Sun, Fuchun (CC), 24 Wada, Kiyoshi , 22, 31 Sun, Haiqin , 26 Wan, Yuan-Yuan , 36 Sun, Jiande , 21 Wang, Baoxian , 15, 17 Sun, Lisha , 28 Wang, Bin , 20 Sun, Peigang , 19 Wang, Bolin , 31 Sun, Qiuye , 33 Wang, Chiajiu , 27 Sun, Rongrong , 33 Wang, Chun-Chieh , 33 Sun, Shixin , 24 Wang, Da-Cheng , 24 Sun, Xinghua , 21 Wang, Dongyun , 17 Sun, Youxian , 37 Wang, Fu-Sheng , 17, 36 Sun, Zengqi , 21 Wang, Fuli , 30 Sun, Zhao , 25 Wang, Fuliang , 22 Sung, Koengmo , 16 Wang, Gaofeng , 33 Wang, Grace , 29 Tan, Ah-Hwee , 23 Wang, Guang-Jiang , 27 Tan, Cheng , 34 Wang, Guoqiang , 23 Tan, Hongli , 28 Wang, Haijun , 34 Tan, Min , 23, 26, 34, 35 Wang, Haila , 30 Tan, Min (CC), 25 Wang, Hong , 26, 35 Tan, Yanghong , 33 Wang, Hongbo , 34 Tan, Yanghong (CC), 33 Wang, Huidong , 19 Tan, Ying , 27 Wang, Jeen-Shing , 18 Tang, Guiji , 27 Wang, Jiacun , 31 Tang, Jun , 37 Wang, Jian , 27, 32 Tang, Lixin , 30 Wang, Jianzhong , 33 Tang, Lixin (CC), 30 Wang, Jingming , 22 Tang, Wansheng , 22 Wang, Jue , 18 Tang, Xian-Lun , 33 Wang, Jun , 17, 21, 22 Tang, Yuchun , 32 Wang, Jun (C), 21 Tao, Ye , 28 Wang, Jun-Song , 33 Tian, Fengzhan , 23 Wang, Ke , 34 Tian, Guangjun , 26 Wang, Kun , 16, 27 Tian, Xingbin , 34 Wang, Lan , 24 Tian, Yudong , 25 Wang, Le , 23 Tickle, Kevin , 37 Wang, Lei , 24 Tie, Ming , 35 Wang, Lei (CC), 15 Timmerman, Dirk , 31 Wang, Liangliang , 24 Tong, Hengqing , 23 Wang, Ling , 24, 35 Tong, Qiaoling , 23 Wang, Lipo , 30 Tsai, Hsiu Fen , 31 Wang, Lipo (C), 30 Tsai, Hung-Hsu , 23 Wang, Meng-Hui , 35 Tsao, Teng-Fa , 16 Wang, Min , 20 Wang, Nian , 37 Uchiyama, Masao , 36 Wang, Qi , 27 Uyar, Kaan , 33 Wang, Quandi , 19 Valenzuela, Olga , 37 Wang, Qun , 15 Van Calster, Ben , 31 Wang, Rubin , 34 Van Huffel, Sabine , 31 Wang, Ruijie , 29 Vanderaa, Bill , 36 Wang, Sheng-Jin , 35 Verma, Brijesh , 37 Wang, Shiwei , 26

45 Wang, Shoujue , 33 Wu, Qing-Xian , 26 Wang, Shoulin , 32 Wu, Shun Jun , 20 Wang, Shufeng , 24 Wu, Si , 29 Wang, Shuhua , 21 Wu, Si (CC), 29 Wang, Tian-Zhen , 37 Wu, Tihua , 26 Wang, Wei , 34 Wu, Wei , 18, 22 Wang, Weiqi , 28 Wu, Xing-Xing , 33 Wang, Xiang-Ting , 25 Wu, Xixian , 25 Wang, Xiaohong , 17 Wu, You-Shou , 35 Wang, Xiaohua , 27, 35 Wu, Yunfeng , 37 Wang, Xin , 25 Wu, Yunhua , 35 Wang, Xiuhong , 35 Wu, Zhilu , 31 Wang, Xiuqing , 34 Wunsch, Donald C. , 11, 21 Wang, Xuelian , 18 Wunsch, Donald C. (C), 15 Wang, Yaonan , 16, 25, 34 Wang, Yen-Nien , 16 Xi, Guangcheng , 31 Wang, Yong , 16 Xi, Guangcheng (C), 31 Wang, Yuan , 19, 34 Xia, Jianjun , 26 Wang, Yuanyuan , 19, 28, 33 Xia, Liangzheng , 25, 36 Wang, Yuechao , 16 Xia, Siyu , 25 Wang, Zeng-Fu , 23 Xia, Youshen , 22 Wang, Zhancheng , 20 Xia, Youshen (C), 21 Wang, Zhaoxia , 36 Xia, Zheng , 37 Wang, Zhen-Yu, 18 Xiang, Cheng , 20 Wang, Zhihai , 23 Xiang, Hongjun , 15 Wang, Zhiliang , 19 Xiang, Lan , 17 Wang, Zhonghua, 26 Xiang, Yanpin , 23 Wei, Miaomiao , 34 Xiao, Deyun , 28 Wei, Qinglai , 22 Xiao, Gang , 37 Wei, Wei , 27 Xiao, Min , 17 Wei, Xun-Kai , 22, 30 Xiao, Qinkun , 15 Wen, Bangchun , 22 Xie, Haibin , 32, 34 Wen, Cheng-Lin , 27, 37 Xie, Tingfan , 17 Wen, Cheng-Lin (C), 37 Xing, Guangzhong , 35 Wen, Chenglin , 26 Xing, Jie , 28 Wen, Lei , 18 Xing, Yanwei , 31 Wen, Yimin , 25 Xiong, Guangze , 34 Weng, Liguo , 25 Xiong, Min , 34 Weng, Shilie , 25 Xiong, Zhihua , 18 Werbos, Paul, 21 Xiong, Zhong-Yang , 35 Won, Yonggwan , 22, 28 Xu, Bingji , 15 Wong, Hau-San , 37 Xu, Chi , 21 Wong, Stephen , 37 Xu, De , 35 Woo, Dong-Min , 27 Xu, Dongpo , 22 Woo, Seung-Jin , 19 Xu, Guoqing , 20 Woo, Young Woon , 23 Xu, Hong , 27 Worrell, Gregory , 20 Xu, Hua , 19, 34 Wu, Bao-Gui , 28 Xu, Huiling , 26 Wu, Gengfeng , 24 Xu, Jian , 35 Wu, Jianbing , 29 Xu, Jianguo , 17 Wu, Jianhua , 16, 22, 27 Xu, Jiuqiang , 19 Wu, Kai-Gui , 35 Xu, Junfeng , 18 Wu, Ke , 20, 36 Xu, Ning-Shou , 33 Wu, Lingyao , 29 Xu, Qingsong , 16 Wu, Qiang , 22 Xu, Qinzhen , 31

46 Xu, Shuang , 21 Ye, Chun-Xiao , 35 Xu, Shuhua , 28, 31 Ye, Mao , 37 Xu, Shuxiang , 31 Ye, Meiying , 37 Xu, Xiaoyun , 36 Ye, Yan , 29 Xu, Xin , 30 Yeh, Chi-Yuan , 24 Xu, Xinhe , 22 Yi, Jianqiang , 23, 31, 35 Xu, Xinzheng , 16 Yi, Jianqiang (C), 22 Xu, Xu , 19 Yi, Ting-Hua , 26 Xu, Yang , 28 Yi, Yang , 26 Xu, Yangsheng , 20 Yi, Zhang , 17, 20, 27 Xu, Yulin , 17 Yi, Zhang (C), 27 Xu, Zongben , 17, 21 Yin, Fuliang , 27 Xu, Zongben (CC), 21 Yin, Jia , 34 Yin, Peipei , 24 Yan, Gangfeng , 17 Yin, Yixin , 19 Yan, Hao Wei , 20 Yin, Zhenyu , 19 Yan, Hua , 21 Yu, Changrui , 26 Yan, Qingxu , 33 Yu, Chun-Chang , 18 Yanez-Marquez, Cornelio , 23, 32 Yu, Ding-Li , 22, 24, 26 Yang, Guowei , 33 Yu, Ding-Wen , 24 Yang, Hong-Yong , 17, 36 Yu, Hao-Cheng , 33 Yang, Hongjiu , 32 Yu, Hongshan , 16, 34 Yang, Hyun-Seung , 23 Yu, Jian , 23 Yang, Jiaben , 25, 26 Yu, Jiaxiang , 28 Yang, Jian , 26 Yu, Jinhua , 19 Yang, Jingming , 23 Yu, Jinxia , 16 Yang, Jingyu , 24 Yu, Wen , 24, 29, 34 Yang, Jun , 26, 33 Yu, Wen (C), 29, 33 Yang, Kung-Cheng , 19 Yu, Wen (CC), 23, 30 Yang, Lei , 20 Yu, Xiao-Fang , 18 Yang, Luxi , 31 Yu, Yaoliang , 15, 21 Yang, Ming , 18 Yu, Zhiping , 29 Yang, Peng , 36 Yu, Zhiwen , 37 Yang, Ping , 26 Yuan, Chongtao , 25 Yang, Shuyuan , 20 Yuan, Dongfeng , 16 Yang, Simon , 20 Yuan, Hejin , 16 Yang, Tao , 26 Yuan, Quande , 33 Yang, Wei , 25 Yuan, Weiqi , 30 Yang, Xiao-Song , 29 Yuan, Xiaofang , 25 Yang, Xiaogang , 27 Yuan, Xudong , 29 Yang, Xiaowei , 19 Yue, Dongxue , 28 Yang, Yixian , 29 Yue, Heng , 31 Yang, Yongming , 19 Yue, Hong , 26 Yang, Yongqing , 30 Yue, Shihong , 34 Yang, Zhao-Xuan , 37 Yusiong, John Paul , 30 Yang, Zhenyu, 28 Yang, Zhi , 37 Zang, Qiang , 35 Yang, Zhiwu , 24 Zdunek, Rafal , 37 Yang, Zhuo , 20 Zeng, Wenhua , 16 Yang, Zi-Jiang , 22, 31 Zeng, Xiaoyun , 36 Yang, Zi-Jiang (CC), 22, 31 Zeng, Zhigang , 15, 32 Yang, Zuyuan , 31 Zhai, Chuan-Min , 36 Yao, Danya , 25 Zhai, Junyong , 26 Yazdanpanah, Mohammad Javad , 30 Zhai, Junyong (C), 25 Ye, Bin , 24 Zhai, Junyong (CC), 32

47 Zhai, Yu-Jia , 22 Zhang, Xiaodan , 19 Zhai, Yuzheng , 28 Zhang, Xing-Gan , 24 Zhang, Biyin , 36 Zhang, Xiyuan , 19 Zhang, Bo , 30 Zhang, Xuejian , 26 Zhang, Chao , 27 Zhang, Xueping , 36 Zhang, Chenggong , 20 Zhang, Xueqin , 20 Zhang, Daibing , 32, 34 Zhang, Xurong , 32 Zhang, Daoqiang , 36 Zhang, Yan-Qing , 32 Zhang, Dapeng, 23 Zhang, Yanxin , 18 Zhang, Guo-Jun , 23 Zhang, Yanyan , 30 Zhang, Hao , 26 Zhang, Yaoyao , 17 Zhang, Huaguang , 15, 22, 31 Zhang, Yi , 25 Zhang, Huaguang (C), 21 Zhang, Yi (CC), 20 Zhang, Huaguang (CC), 15, 33 Zhang, Ying-Jun , 24 Zhang, Jianhai , 17 Zhang, Yong , 26 Zhang, Jianhua , 26 Zhang, Yongqian , 35 Zhang, Jie , 18 Zhang, You-Peng , 29 Zhang, Jinfang , 26 Zhang, Yu , 23 Zhang, Jing , 24 Zhang, Yu-Shen , 25 Zhang, Jingdan , 17 Zhang, Yuxiao , 19 Zhang, Jinhui , 32 Zhang, Zhao , 25 Zhang, Jiqi , 37 Zhang, Zhaozhi , 29 Zhang, Jiye , 18 Zhang, Zhong , 33 Zhang, Jun , 33 Zhang, Zhong (CC), 33 Zhang, Junfeng , 18 Zhao, Bing , 17 Zhang, Junxiong , 18 Zhao, Chunyu , 22 Zhang, Junying , 35 Zhao, Dongbin , 23, 31, 35 Zhang, Kan-Jian , 30 Zhao, Dongbin (C), 31 Zhang, Kan-Jian (CC), 30 Zhao, Fan , 24 Zhang, Keyue , 18 Zhao, Feng , 25 Zhang, Kun , 36 Zhao, Hai , 19 Zhang, Lei , 17, 36 Zhao, Jianguo , 30 Zhang, Lijing , 17 Zhao, Jianye , 27, 32 Zhang, Liming , 15, 20, 21, 34 Zhao, Jiufen , 32 Zhang, M. J. , 25 Zhao, Jiuling , 32 Zhang, Meng , 33 Zhao, Nan , 31 Zhang, Ming , 31 Zhao, Shuying , 22 Zhang, Mingjin , 25 Zhao, Tong , 26 Zhang, Ning , 20 Zhao, Xingang , 33 Zhang, Pan , 29 Zhao, Yaou , 20 Zhang, Pinzheng , 31 Zhao, Yaqin , 31 Zhang, Qi , 28 Zhao, Youdong , 21 Zhang, Qian , 24 Zhao, Zeng-Shun , 23 Zhang, Qizhi , 19 Zhao, Zhi-Qiang , 23 Zhang, Shaohong , 37 Zhao, Zuopeng , 16 Zhang, Si-Sing , 17 Zheng, Chaoxin , 16 Zhang, Si-Ying , 36 Zheng, Chaoxin (C), 16 Zhang, Su , 25 Zheng, Huiru , 15 Zhang, Tao , 20 Zhon, Hong-Jian , 16 Zhang, Tianping , 16 Zhong, Jiang , 35 Zhang, Tianqi , 24 Zhong, Shisheng , 35 Zhang, Tianxu , 36 Zhong, Yingji , 16 Zhang, Wei , 24 Zhou, Chun-Guang , 25 Zhang, Wenjun , 29 Zhou, Chunguang , 18, 36 Zhang, Xiao-Guang, 24 Zhou, Chunguang (C), 18, 36

48 Zhou, Jianting , 32 Zhou, Jie , 31 Zhou, Jin , 17 Zhou, Qingdong , 27 Zhou, Wei , 18 Zhou, Xianzhong , 25 Zhou, Xiaobo , 37 Zhou, Xin , 18 Zhou, Yali , 19 Zhou, Yi , 33 Zhu, Chongjun , 17 Zhu, Dengsheng , 35 Zhu, James , 20 Zhu, Jie , 23 Zhu, Qing , 16 Zhu, Xi-Lin , 33 Zhu, Xun-Lin , 17, 36 Zhu, Zexuan , 31 Zhuang, Ling , 33 Zhuang, Yan , 34 Zong, Ning , 32 Zou, An-Min , 23 Zou, Anmin , 34 Zou, Qi , 20 Zuo, Bin , 30 Zurada, Jacek M. , 32

49 Conference Room Location Guide:

1: Ji Di Hall is on the second floor behind the registration desk.

2: Hou Men Hall and Wang Fu Hall are on the second floor on the side of Ji Di Hall.

3: Room B, Room C, and Room D are on the third floor above Ji Di Hall.

4: Humphrey’s Restraunt is on the first floor in the hotel lobby.