Final Program

25th International Conference on Neural Information Processing (ICONIP 2018)

Final Program

December 13 – 16, 2018, Siem Reap, Cambodia

December 13-16, 2018 Siem Reap, Cambodia

Welcome Messages It is our pleasure to welcome you to the 25th International Conference on Neural Information Processing (ICONIP 2018), to be held in Siem Reap, Cambodia, December 13-16, 2018. The ICONIP conference series started in 1994 in Seoul, which has now become a well-established and high-quality conference on neural networks around the world. Siem Reap is a gateway to Angkor Wat, which is one of the most important archaeological sites in Southeast Asia, the largest religious monument in the world. All participants of ICONIP 2018 would have a technically rewarding experience as well as a memorable stay in this great city. In recent years, the neural network has been significantly advanced with the great developments in neuroscience, computer science, cognitive science, and engineering. Many novel neural information processing techniques have been proposed as the solutions to complex, networked and information-rich intelligent systems. To disseminate new findings, ICONIP 2018 provided a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in all fields regarding neural networks. With the growing popularity of neural networks in recent years, we have witnessed an increase in the number of submissions and in the quality of submissions. ICONIP 2018 received 575 submissions from 51 countries and regions across six continents. Based on a rigorous peer-review process, where each submission was reviewed by at least three experts, a total of 401 high-quality papers were selected for publication in the prestigious series of Springer Lecture Notes in Computer Science. The selected papers cover a wide range of subjects that address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. In addition to the contributed papers, ICONIP 2018 technical program is also featured by three plenary lectures and two invited lectures delivered by world-renowned scholars: Prof. Marios M. Polycarpou (University of Cyprus), Prof. Masashi Sugiyama (University of Tokyo and RIKEN Center for Advanced Intelligence Project), Prof. Qing-Long Han (Swinburne University of Technology), Prof. Cesare Alippi (Polytechnic of Milan), and Prof. Nikola K. Kasabov (Auckland University of Technology). We would like to extend our sincere gratitude to all members of the ICONIP 2018 Advisory Committee for their supports, the APNNS Governing Board for their guidance, the International Neural Network Society and Japanese Neural Network Society for their technical co-sponsorship, and all members of the Organizing Committee for all their great efforts and time in organizing such an event. We would

also like to take this opportunity to thank all technical committee members and reviewers for their professional reviews that guaranteed the high quality of the conference proceedings. Finally, we would like to thank all the speakers, authors, reviewers, volunteers and participants for their contributions and supports in making ICONIP 2018 a successful event. Enjoy the conference and enjoy your stay in Siem Reap!

Jun Wang Long Cheng Chi Sing Leung Seiichi Ozawa

ICONIP History

25th International Conference on Neural Information Processing, Siem Reap, Cambodia, 2018

24th International Conference on Neural Information Processing, Guangzhou, China, 2017

23rd International Conference on Neural Information Processing, Kyoto, Japan, 2016

22nd International Conference on Neural Information Processing, Istanbul, Turkey, 2015

21st International Conference on Neural Information Processing, Kuching, Sarawak, Malaysia, 2014

20th International Conference on Neural Information Processing, Daegu, Korea, 2013

19th International Conference on Neural Information Processing, Doha, Qatar, 2012

18th International Conference on Neural Information Processing, Shanghai, China, 2011

17th International Conference on Neural Information Processing, Sydney, Australia, 2010

16th International Conference on Neural Information Processing, Bangkok, Thailand, 2009

15th IInternational Conference on Neural Information Processing, Auckland, New Zealand, 2008

14th International Conference on Neural Information Processing, Kitakyushu, Japan, 2007

13th International Conference on Neural Information Processing, Hong Kong, 2006

12th International Conference on Neural Information Processing, Taipei, 2005

11th International Conference on Neural Information Processing, Calcutta, India, 2004

10th International Conference on Neural Information Processing, Istanbul, Turkey, 2003

9th International Conference on Neural Information Processing, Singapore, 2002

8th International Conference on Neural Information Processing, Shanghai, China, 2001

7th International Conference on Neural Information Processing, Taejon, Korea, 2000

6th International Conference on Neural Information Processing, Perth, Australia, 1999

5th International Conference on Neural Information Processing, Kitakyushu, Japan, 1998

4th International Conference on Neural Information Processing, Dunedin, New Zealand, 1997

3rd International Conference on Neural Information Processing, Hong Kong, 1996

2nd International Conference on Neural Information Processing, Beijing, China, 1995

1st International Conference on Neural Information Processing, Seoul, Korea, 1994

Contents

ICONIP 2018 Organization ...... 1

Program Committee Members ...... 3

Sponsors ...... 11

Conference Venue ...... 12

Registration Information ...... 14

Instructions for Oral Presentations...... 14

Plenary and Invited Lectures ...... 15

Plenary Lecture I: ...... 15

Plenary Lecture II: ...... 17

Plenary Lecture III: ...... 18

Invited Lecture I:...... 20

Invited Lecture II: ...... 22

Best Paper Award Finalists ...... 24

1. Best Paper Award Finalists ...... 24

2. Best Student Paper Award Finalists ...... 24

Technical Program ...... 25

ICONIP 2018 Organization

General Chair

Jun Wang City University of Hong Kong, Hong Kong

Advisory Chairs

Akira Hirose University of Tokyo, Tokyo, Japan Soo-Young Lee Korea Advanced Institute of Science and Technology, Daejeon, Korea Derong Liu Institute of Automation, Chinese Academy of Sciences, Beijing, China Nikhil R. Pal Indian Statistics Institute, Calcutta, India

Program Chairs

Long Cheng Institute of Automation, Chinese Academy of Sciences, Beijing, China Andrew C.S. Leung City University of Hong Kong, Hong Kong Seiichi Ozawa Kobe University, Kobe, Japan

Special Sessions Chairs

Shukai Duan Southwest University, Chongqing, China Kazushi Ikeda Nara Institute of Science and Technology, Nara, Japan Qinglai Wei Institute of Automation, Chinese Academy of Sciences, Beijing, China Hiroshi Yamakawa DWANGO Co. Ltd., Tokyo, Japan Zhihui Zhan South China University of Technology, Guangzhou, China

Tutorial Chairs

Hiroaki Gomi NTT Communication Science Laboratories, Atsugishi, Japan Takashi Morie Kyushu Institute of Technology, Kitakyushu, Japan Kay Chen Tan City University of Hong Kong, Hong Kong Dongbin Zhao Institute of Automation, Chinese Academy of Sciences, Beijing, China

Publicity Chairs

Zeng-Guang Hou Institute of Automation, Chinese Academy of Sciences, Beijing, China Tingwen Huang Texas A&M University at Qatar, Doha, Qatar Chia-Feng Juang National Chung-Hsing University, Taichung, Taiwan Tomohiro Shibata Kyushu Institute of Technology, Kitakyushu, Japan

Publications Chairs

Xinyi Le Shanghai Jiao Tong University, Shanghai, China Sitian Qin Harbin Institute of Technology Weihai, Weihai, China Zheng Yan University Technology Sydney, Sydney, Australia Shaofu Yang Southeast University, Nanjing, China

Registration Chairs

Shenshen Gu Shanghai University, Shanghai, China Qingshan Liu Southeast University, Nanjing, China Ka Chun Wong City University of Hong Kong, Hong Kong

Conference Secretariat

Ying Qu Dalian University of Technology, Dalian, China

Program Committee Members

Hussein Abbass University of New South Wales at Canberra Choon Ki Ahn Korea University Igor Aizenberg Texas A&M University at Texarkana Shotaro Akaho National Institute of Advanced Industrial Science and Technology Abdulrazak Alhababi UNIMAS Cecilio Angulo Universitat Polit`ecnica de Catalunya Sabri Arik Istanbul University Mubasher Baig National University of Computer and Emerging Sciences Lahore Sang-Woo Ban Dongguk University Tao Ban National Institute of Information & Communications Technology Boris Bačić Auckland University of Technology Xu Bin Northwestern Polytechnical University David Bong Universiti Malaysia Sarawak Salim Bouzerdoum University of Wollongong Ivo Bukovsky Czech Technical University Ke-Cai Cao Nanjing University of Posts and Telecommunications Elisa Capecci Auckland University of Technology Rapeeporn Chamchong Mahasarakham University Jonathan Chan King Mongkut’s University of Technology Thonburi Rosa Chan City University of Hong Kong Guoqing Chao East China Normal University He Chen Nankai University Mou Chen Nanjing University of Aeronautics & Astronautics Qiong Chen South China University of Technology Wei-Neng Chen Sun Yat-Sen University Xiaofeng Chen Chongqing Jiaotong University Ziran Chen Bohai University Jian Cheng Chinese Academy of Sciences Long Cheng Chinese Academy of Sciences Wu Chengwei Bohai University Zheru Chi The Hong Kong Polytechnic University Sung-Bae Cho Yonsei University Heeyoul Choi Handong Global University Hyunsoek Choi Kyungpook National University Supannada Chotipant King Mongkut’s Institute of Technology Ladkrabang Fengyu Cong Dalian University of Technology Jose Alfredo Ferreira Costa Federal University of Rio Grande do Norte Ruxandra Liana Costea Polytechnic University of Bucharest Jean-Francois Couchot University of Franche-Comté Rapha¨e l Couturier University Bourgogne Franche-Comté

Program Committee Members (continued)

Jisheng Dai Jiangsu University Justin Dauwels Massachusetts Institute of Technology Dehua Zhang Chinese Academy of Sciences Mingcong Deng Tokyo University of Agriculture and Technology Zhaohong Deng Jiangnan University Jing Dong Chinese Academy of Sciences Qiulei Dong Chinese Academy of Sciences Kenji Doya Okinawa Institute of Science and Technology El-Sayed El-Alfy King Fahd University of Petroleum and Minerals Mark Elshaw Nottingham Trent International College Peter Erdi Kalamazoo College Josafath Israel Espinosa Ramos Auckland University of Technology Issam Falih Paris 13 University Bo Fan Zhejiang University Yunsheng Fan Dalian Maritime University Hao Fang Beijing Institute of Technology Jinchao Feng Beijing University of Technology Francesco Ferracuti Università Politecnica delle Marche Chun Che Fung Murdoch University Wai-Keung Fung Robert Gordon University Tetsuo Furukawa Kyushu Institute of Technology Hao Gao Nanjing University of Posts and Telecommunications Yabin Gao Harbin Institute of Technology Yongsheng Gao Griffith University Tom Gedeon Australian National University Ong Sing Goh Universiti Teknikal Malaysia Melaka Iqbal Gondal Federation University Australia Yue-Jiao Gong Sun Yat-sen University Shenshen Gu Shanghai University Chengan Guo Dalian University of Technology Ping Guo Beijing Normal University Shanqing Guo Shandong University Xiang-Gui Guo University of Science and Technology Beijing Zhishan Guo University of Central Florida Christophe Guyeux University of Franche-Comte Masafumi Hagiwara Keio University Saman Halgamuge The University of Melbourne Tomoki Hamagami Yokohama National University Cheol Han Korea University at Sejong Min Han Dalian University of Technology Takako Hashimoto Chiba University of Commerce

Program Committee Members (continued)

Toshiharu Hatanaka Osaka University Wei He University of Science and Technology Beijing Xing He Southwest University Xiuyu He University of Science and Technology Beijing Akira Hirose The University of Tokyo Daniel Ho City University of Hong Kong Katsuhiro Honda Osaka Prefecture University Hongyi Li Bohai University Kazuhiro Hotta Meijo University Jin Hu Chongqing Jiaotong University Jinglu Hu Waseda University Xiaofang Hu Southwest University Xiaolin Hu Tsinghua University He Huang Soochow University Kaizhu Huang Xi’an Jiaotong-Liverpool University Long-Ting Huang Wuhan University of Technology Panfeng Huang Northwestern Polytechnical University Tingwen Huang Texas A&M University Hitoshi Iima Kyoto Institute of Technology Kazushi Ikeda Nara Institute of Science and Technology Hayashi Isao Kansai University Teijiro Isokawa University of Hyogo Piyasak Jeatrakul Mae Fah Luang University Jin-Tsong Jeng National formosa University Sungmoon Jeong Kyungpook National University Hospital Danchi Jiang University of Tasmania Min Jiang Xiamen University Yizhang Jiang Jiangnan University Xuguo Jiao Zhejiang University Keisuke Kameyama University of Tsukuba Shunshoku Kanae Junshin Gakuen University Hamid Reza Karimi Politecnico di Milano Nikola Kasabov Auckland University of Technology Abbas Khosravi Deakin University Rhee Man Kil Sungkyunkwan University Daeeun Kim Yonsei University Sangwook Kim Kobe University Lai Kin Tunku Abdul Rahman University Irwin King The Chinese University of Hong Kong Yasuharu Koike Tokyo Institute of Technology Ven Jyn Kok National University of Malaysia Ghosh Kuntal Indian Statistical Institute Shuichi Kurogi Kyushu Institute of Technology

Program Committee Members (continued)

Susumu Kuroyanagi Nagoya Institute of Technology James Kwok The Hong Kong University of Science and Technology Edmund Lai Auckland University of Technology Kittichai Lavangnananda King Mongkut’s University of Technology Thonburi Xinyi Le Shanghai Jiao Tong University Minho Lee Kyungpook National University Nung Kion Lee University Malaysia Sarawak Andrew C.S. Leung City University of Hong Kong Baoquan Li Tianjin Polytechnic University Chengdong Li Shandong Jianzhu University Chuandong Li Southwest University Dazi Li Beijing University of Chemical Technology Li Li Tsinghua University Shengquan Li Yangzhou University Ya Li Institute of Automation, Chinese Academy of Sciences Yanan Li University of Sussex Yongming Li Liaoning University of Technology Yuankai Li University of Science and Technology of China Jie Lian Dalian University of Technology Hualou Liang Drexel University Jinling Liang Southeast University Xiao Liang Nankai University Alan Wee-Chung Liew Griffith University Honghai Liu University of Portsmouth Huaping Liu Tsinghua University Huawen Liu University of Texas at San Antonio Jing Liu Chinese Academy of Sciences Ju Liu Shandong University Qingshan Liu Huazhong University of Science and Technology Weifeng Liu China University of Petroleum Weiqiang Liu Nanjing University of Aeronautics and Astronautics Dome Lohpetch King Mongkut’s University of Technology North Bangoko Hongtao Lu Shanghai Jiao Tong University Wenlian Lu Fudan University Yao Lu Beijing Institute of Technology Jinwen Ma Peking University Qianli Ma South China University of Technology Sanparith Marukatat Thailand’s National Electronics and Computer Technology Center

Program Committee Members (continued)

Tomasz Maszczyk Nanyang Technological University Basarab Matei LIPN Paris Nord University Takashi Matsubara Kobe University Nobuyuki Matsui University of Hyogo P. Meesad King Mongkuts University of Technology North Bangkok Gaofeng Meng Chinese Academy of Sciences Daisuke Miyamoto University of Tokyo Kazuteru Miyazaki National Institution for Academic Degrees and Quality Enhancement of Higher Education Seiji Miyoshi Kansai University J.Manuel Moreno Universitat Polit`ecnica de Catalunya Naoki Mori Osaka Prefecture University Yoshitaka Morimura Kyoto University Chaoxu Mu Tianjin University Kazuyuki Murase University of Fukui Jun Nishii Yamaguchi University Haruhiko Nishimura University of Hyogo Grozavu Nistor The Paris 13 University Yamaguchi Nobuhiko Saga University Stavros Ntalampiras University of Milan Takashi Omori Tamagawa University Toshiaki Omori Kobe University Seiichi Ozawa Kobe University Yingnan Pan Northeastern University Yunpeng Pan JD Research Labs Lie Meng Pang Universiti Malaysia Sarawak Shaoning Pang Unitec Insitute of Technol Hyeyoung Park Kyungpook National University Hyung-Min Park Sogang University Seong-Bae Park Kyungpook National University Kitsuchart Pasupa King Mongkut’s Institute of Technology Ladkrabang Yong Peng Hangzhou Dianzi University Somnuk Phon-Amnuaisuk Universiti Teknologi Brunei Lukas Pichl International Christian University Geong Sen Poh National University of Singapore Mahardhika Pratama Nanyang Technological University Emanuele Principi Universit`a Politecnica elle Marche Dianwei Qian North China Electric Power University Jiahu Qin University of Science and Technology of China Sitian Qin Harbin Institute of Technology at Weihai Mallipeddi Rammohan Nanyang Technological University Yazhou Ren University of Science and Technology of China

Program Committee Members (continued)

Ko Sakai University of Tsukuba Shunji Satoh The University of Electro-Communications Gerald Schaefer Loughborough University Sachin Sen Unitec Institute of Technology Hamid Sharifzadeh Unitec Institute of Technology Nabin Sharma University of Technology Sydney Yin Sheng Huazhong University of Science and Technology Jin Shi Nanjing University Yuhui Shi Southern University of Science and Technology Hayaru Shouno University of Electro-Communications Ferdous Sohel Murdoch University Jungsuk Song Korea Institute of Science and Technology Information Andreas Stafylopatis National Technical University of Athens Jérémie Sublime ISEP Ponnuthurai Suganthan Nanyang Technological University Fuchun Sun Tsinghua University Ning Sun Nankai University Norikazu Takahashi Okayama University Ken Takiyama Tokyo University of Agriculture and Technology Tomoya Tamei Kobe University Hakaru Tamukoh Kyushu Institute of Technology Choo Jun Tan Wawasan Open University Shing Chiang Tan Multimedia University Ying Tan Peking University Gouhei Tanaka The University of Tokyo Ke Tang Southern University of Science and Technology Xiao-Yu Tang Zhejiang Univerisity Yang Tang East China University of Science and Technology Qing Tao Chinese Academy of Sciences Katsumi Tateno Kyushu Institute of Technology Keiji Tatsumi Osaka University Kai Meng Tay Universiti Malaysia Sarawak Chee Siong The Universiti Malaysia Sarawak Andrew Teoh Yonsei University Arit Thammano King Mongkut’s Institute of Technology Ladkrabang Christos Tjortjis International Hellenic University Shibata Tomohiro Kyushu institute of technology Seiki Ubukata Osaka Prefecture University Eiji Uchino Yamaguchi University Wataru Uemura Ryukoku University Michel Verleysen Universite catholique de Louvain

Program Committee Members (continued)

Brijesh Verma Central Queensland University Hiroaki Wagatsuma Kyushu Institute of Technology Nobuhiko Wagatsuma Tokyo Denki University Feng Wan University of Macau Bin Wang University of Jinan Dianhui Wang La Trobe University Jing Wang Beijing University of chemical Technology Jun-Wei Wang University of Science and Technology Beijing Junmin Wang Beijing Institute of Technology Lei Wang Beihang University Lidan Wang Southwest University Lipo Wang Nanyang Technological University Qiu-Feng Wang Xi’an Jiaotong-Liverpool University Sheng Wang Henan university Bunthit Watanapa King Mongkut’s University of Technology Saowaluk Watanapa Thammasat University Qinglai Wei Chinese Academy of Sciences Wei Wei Beijing Technology and Business University Yantao Wei Central China Normal University Guanghui Wen Southeast University Zhengqi Wen Chinese Academy of Sciences Hau San Wong City University of Hong Kong Kevin Wong Murdoch University P.K. Wong University of Macau Kuntpong Woraratpanya King Mongkut’s Institute of Technology Chaokuntaharn Ladkrabang Dongrui Wu Huazhong University of Science and Technology Si Wu Beijing Normal University Si Wu South China University of Technology Zhengguang Wu Zhejiang University Tao Xiang Chongqing University Chao Xu Zhejiang University Zenglin Xu University of Science and Technology of China Zhaowen Xu Zhejiang University Tetsuya Yagi Osaka University Toshiyuki Yamane IBM Koichiro Yamauchi Chubu University Xiaohui Yan Nanjing University of Aeronautics and Astronautics Zheng Yan University of Technology Sydney Jinfu Yang Beijing University of Technology Jun Yang Southeast University Minghao Yang Chinese Academy of Sciences Qinmin Yang Zhejiang University

Program Committee Members (continued)

Shaofu Yang Southeast University Xiong Yang Tianjin University Yang Yang Nanjing University of Posts and Telecommunications Yin Yang Hamad Bin Khalifa University Yiyu Yao University of Regina Jianqiang Yi Chinese Academy of Sciences Chengpu Yu Beijing Institute of Technology Wen Yu CINVESTAV Wenwu Yu Southeast University Zhaoyuan Yu Nanjing Normal University Xiaodong Yue Shanghai University Dan Zhang Zhejiang University Jie Zhang Newcastle University Liqing Zhang Shanghai Jiao Tong University Nian Zhang University of the District of Columbia Tengfei Zhang Nanjing University of Posts and Telecommunications Tianzhu Zhang Chinese Academy of Sciences Ying Zhang Shandong University Zhao Zhang Soochow University Zhaoxiang Zhang Chinese Academy of Sciences Dongbin Zhao Chinese Academy of Sciences Qiangfu Zhao University of Aizu Zhijia Zhao Guangzhou University Jinghui Zhong South China University of Technology Qi Zhou University of Portsmouth Xiaojun Zhou Central South University Yingjiang Zhou Nanjing University of Posts and Telecommunications Haijiang Zhu Beijing University of Chemical Technology Hu Zhu Nanjing University of Posts and Telecommunications Lei Zhu UNITEC Institute of Technology Pengefei Zhu Tianjin University Yue Zhu Nanjing University Zongyu Zuo Beihang University

Sponsors

ICONIP 2018 Sponsors

➢ Asia Pacific Neural Network Society ➢ International Neural Network Society ➢ Japanese Neural Network Society

Conference Venue

ICONIP 2018 will be held at the Sokha Siem Reap Resort & Convention Center. Sokha Siem Reap Resort & Convention Center is the perfect combination of luxury and tranquility set amidst lush tropical gardens. The setting offers the authenticity of traditional Cambodian design infused with fresh modern features and 5 star facilities creating a unique space in Siem Reap. The location convenience with the famed Temples of Angkor located only minutes from the resort entrance, 15 minutes from Siem Reap International Airport and 10 minutes outside of the city centre. This central location offers the opportunity for guests to enjoy a secluded and peaceful visit which still offers direct and easy access to the Angkor Tourist & Cultural Complex and city centre locations such as Pub Street and Old Market.

Location: Road 60, Angkor Cultural & Tourism Complex Junction, Phum Trang, Sangkat Slorkram, Siem Reap, Kingdom of Cambodia. Homepage: http://www.sokhahotels.com/siemreap/ Telephone: +855 63 961 999 Fax: +855 63 961 888 E-mail: [email protected]

The location of the Sokha Siem Reap Resort & Convention Center

Floor Plan of the Sokha Siem Reap Resort & Convention Center

Registration Information The ICONIP 2018 registration desk, located in the Sokha Siem Reap Resort & Convention Center Siem Reap, Cambodia, will be open during:

➢ Dec. 13, 2018 (Tuesday) 10:00–18:00 A full registrant is entitled to receive a volume of the conference proceedings and a souvenir, attend all technical sessions, and join the welcome dinner on Dec. 13, the banquet on Dec. 15, and three lunches and six coffee breaks on Dec. 14-16. Additional banquet ticket costs 60USD/400RMB.

Instructions for Oral Presentations

Oral Presentation:

➢ Oral Presentation Time: 20 minutes (including discussion). ➢ Each speaker is required to meet his/her session chair in the corresponding session room 10 minutes before the session starts and copy the slide file (PPT or PDF) to the session’s computer. If any session chair is absent from the session, the speaker of the first presentation in this session needs to be the session chair. ➢ Please note that each session room will be equipped with an LCD projector, a screen, a pointer device, and a laptop or desktop computer with general presentation software such as Microsoft PowerPoint and Adobe Reader preinstalled. Please make sure that your files are compatible and readable with our operation system by using commonly used fonts and symbols. If you plan to use your own computer, please try the connection and make sure it works before your presentation. Make sure to bring your special connectors.

Plenary and Invited Lectures

Plenary Lecture I:

From Machine Learning to Machine Diagnostics

Prof. Marios M. Polycarpou Director, KIOS Research and Innovation Center of Excellence Department of Electrical and Computer Engineering University of Cyprus, Nicosia, Cyprus Abstract During the last few years, there have has been remarkable progress in utilizing machine learning methods in several applications that benefit from deriving useful patterns among large volumes of data. These advances have attracted significant attention from industry due to the potential of reducing the cost of predicting future events and making intelligent decisions based on data from past experiences. In this context, a key application of intelligent information processing is the task of monitoring the condition of dynamical systems, as well as detecting and diagnosing abnormal behavior, especially in safety-critical, large-scale systems. The goal of this presentation is to provide insight into the problem of detecting, isolating and self-correcting abnormal/faulty or malicious behavior in large- scale dynamical systems, through theoretical results and illustrative examples. The ultimate goal is to develop the foundation of the concept of machine diagnostics, which would empower smart software algorithms to monitor continuously the condition of dynamical systems during the lifetime of their operation.

Biosketches Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He received the B.A degree in Computer Science and the B.Sc. in Electrical Engineering, both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, in 1989 and 1992 respectively. His teaching and research interests are in intelligent systems and networks, adaptive and cooperative control systems, computational intelligence, fault diagnosis and distributed agents. Dr. Polycarpou has published more than 300 articles in refereed journals, edited books and refereed conference proceedings, and co-authored 7 books. He is also the holder of 6 patents. Prof. Polycarpou is a Fellow of IEEE and IFAC, and was the recipient of the 2016 IEEE Neural Networks Pioneer Award, with the citation: for pioneering the use of neural networks and learning systems in monitoring and control. He served as the President of the IEEE Computational Intelligence Society (2012- 2013), and as the Editor-in-Chief

of the IEEE Transactions on Neural Networks and Learning Systems (2004-2010). He is currently the President of the European Control Association (EUCA). Prof. Polycarpou has participated in more than 60 research projects/grants, funded by several agencies and industry in Europe and the United States, including the prestigious European Research Council (ERC) Advanced Grant and the EU Teaming project.

Plenary Lecture II:

Machine learning from weak supervision -Towards accurate classification with low labeling costs Prof. Masashi Sugiyama University of Tokyo Director of RIKEN Center for Advanced Intelligence Project Japan Abstract Recent advances in machine learning with big labeled data allow us to achieve human- level performance in various tasks such as speech recognition, image understanding, and natural language translation. On the other hand, there are still many application domains where human labor is involved in the data acquisition process and thus the use of massive labeled data is prohibited. In this talk, I will introduce our recent advances in classification techniques from weak supervision.

Biosketches Masashi Sugiyama received the PhD degree in Computer Science from Tokyo Institute of Technology, Japan in 2001. He has been Professor at the University of Tokyo since 2014 and concurrently appointed as Director of RIKEN Center for Advanced Intelligence Project since 2016. His research interests include theory, algorithms, and applications of machine learning. He (co)-authored several books such as Density Ratio Estimation in Machine Learning (Cambridge University Press, 2012), Machine Learning in Non-Stationary Environments (MIT Press, 2012), Statistical Reinforcement Learning (Chapman and Hall, 2015), and Introduction to Statistical Machine Learning (Morgan Kaufmann, 2015). He served as a Program co-chair and General co-chair of the Neural Information Processing Systems conference in 2015 and 2016, respectively. Masashi Sugiyama received the Japan Academy Medal in 2017.

Plenary Lecture III:

Neural Information Processing in Distributed Systems: A Multi-Agent Perspective Prof. Qing-Long Han Pro Vice-Chancellor (Research Quality) Swinburne University of Technology Australia

Abstract With the development of artificial intelligence technologies, neural information processing plays an important role in estimation, control and optimization of distributed engineering systems modelled by multiple autonomous agents, such as cooperative control of mobile manipulators in industrial automation systems, energy management of smart grids, and formation control of autonomous vehicles in road transportation. Such a multi-agent based distributed information processing strategy provides an effective solution, which enables distributed intelligence data computing and processing based on the interaction of neighbouring agents via communication networks. This strategy is capable of improving efficiency, reliability and scalability of information processing. However, it will pose new technical and theoretical challenges, especially due to the presence of communication networks. In this keynote talk, we will first provide some background on neural information processing and give a brief overview of distributed information processing from a multi-agent perspective. Then we will investigate how to perform distributed information processing within a resource-constrained network environment, and how to accelerate the convergence rate to achieve finite- and fixed-time distributed consensus. Furthermore, we will explore cyber-attack issues in distributed information processing for industrial cyber-physical systems and disclose some typical attack models, performance metrics and attack detection methods. We will discuss applicability of employing distributed information processing solutions in microgrids. Finally, we will highlight some challenging issues that are worthy of future investigation.

Bioschetches Qing-Long Han received Ph.D. degree in Control Engineering and Electrical Engineering from East China University of Science and Technology, Shanghai, China, in 1997. From September 1997 to December 1998, he was a Post-doctoral Researcher Fellow with the Laboratoire d’Auomatique et d’Informatique Industrielle (LAII) (currently, Laboratoire d'Informatique et d'Automatique pour les Systèmes, LIAS), École Supérieure d’Ingénieurs de Poitiers (ESIP) (currently, École Nationale Supérieure d’Ingénieurs de Poitiers (ENSIP)), Université de Poitiers,

France. From January 1999 to August 2001, he was a Research Assistant Professor with the Department of Mechanical and Industrial Engineering at Southern Illinois University at Edwardsville, USA. From December 2014 to May 2016, he was Deputy Dean (Research), with the Griffith Sciences, and a Professor with the Griffith School of Engineering, Griffith University, Australia. In May 2016, he joined Swinburne University of Technology, Australia, where he is currently Pro Vice-Chancellor (Research Quality) and a Distinguished Professor. He is also the Director of Centre for Networked Control Systems with the School of Mechatronic Engineering and Automation, Shanghai University, China. In March 2010, he was appointed Chang Jiang (Yangtze River) Scholar Chair Professor by Ministry of Education, China. Professor Han has been conducting research in the field of Control Theory and Control Engineering. He has published over three hundred and eighty (380) fully-refereed papers in prestigious journals and leading conferences, two research-based books (monographs), one research-based book chapter, and edited four conference proceedings and five special issues. In particular, since 2001, he has published two hundred and seventeen (217) fully-refereed high quality journal articles. Among these articles, twenty-six (26) articles are published in Automatica, and seventeen (17) articles are published in IEEE Transactions on Automatic Control (the two best journals in the area of automatic control) and ninety-three (93) articles are published in the most prestigious IEEE Transactions. As of October 4, 2018, Professor Han’s research work has been cited 17351 times with h-index of 70, i10-index of 190 according to Google Scholar, 13888 times with h-index of 62 according to SCOPUS, and 11372 times with h-index of 57 according to Clarivate Analytics (formerly Thomson Reuters) Web of Science Core Collection. The Essential Science Indicator’s (ESI) Report on September 13, 2018, which covers the period from January 2008 to June 2018, indicated that he has 38 Highly Cited Papers. Professor Han is one of The World's Most Influential Scientific Minds: 2014-2016, and 2018. He is a Highly Cited Researcher according to Clarivate Analytics (formerly Thomson Reuters). He is a Fellow of The Institution of Engineers Australia. He is an Associate Editor of a number of international journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetics, IEEE/CAA Journal of Automatica Sinica, and Information Sciences. His research interests include networked control systems, time-delay systems, multi- agent systems, neural networks and complex dynamical systems.

Invited Lecture I:

Adversarial learning and constant curvature manifolds to detect changes in graph streams Prof. Cesare Alippi Politecnico di Milano, Milano, Italy Università della Svizzera italiana, Lugano, Switzerland

Abstract

Many fields, like physics, neuroscience, chemistry, and sociology, investigate phenomena by processing multivariate measurements advantageously represented as a sequence of attributed graphs. Graphs come in different forms, with variable attributes, topology, and ordering, making it difficult to perform a mathematical analysis in the graph space. Within this framework, we are interested in the identification of possible structural changes in the graph stream, a situation associated with time variance, anomalies or events of interest.

Theoretic results show that, under mild hypotheses, the confidence level of an event detected in the graph domain can be associated with another confidence level in an embedding space; this enables the identification of events in the graph domain by investigating embedded data. The opposite holds. However, evaluation of distances between graphs and identification of an appropriate embedding for the problem at hand are far from being trivial tasks. As such, in order to select the appropriate embedding strategy we propose a deep learning approach based on generative neural adversarial networks. This allow us to embed graphs without having to perform all computations in the graph domain. Finally, we constrain the latent space of the adversarial network to lie on (ensembles of) constant-curvature Riemannian manifolds, hence taking advantage of their non-Euclidean nature. We discuss the effectiveness of what proposed in several problems, including a real-world scenario of epileptic seizure prediction on brain networks.

Bioskeches Cesare Alippi received the degree in electronic engineering cum laude in 1990 and the PhD in 1995 from Politecnico di Milano, Italy. Currently, he is a Professor with the Politecnico di Milano, Milano, Italy and Università della Svizzera italiana, Lugano, Switzerland. Currently, he is a visiting professor at the University of Kobe, Japan, and the University of Guangzhou, China. He has been a visiting researcher at UCL (UK), MIT (USA), ESPCI (F), CASIA (RC), A*STAR (SIN). Alippi is an IEEE Fellow, Member of the Administrative Committee of the IEEE Computational Intelligence Society, Board of Governors member of the International Neural Network Society, Board of Directors member of the European Neural Network Society, Past Vice-President education of the IEEE Computational Intelligence Society, past associate editor of the IEEE Transactions on Emerging topics in computational intelligence, the IEEE Computational Intelligence Magazine, the IEEE-Transactions on Instrumentation and Measurements, the IEEE-Transactions on Neural Networks.

In 2018 he received IEEE CIS Outstanding Computational Intelligence Magazine Award, the 2016 Gabor award from the International Neural Networks Society and the IEEE Computational Intelligence Society Outstanding Transactions on Neural Networks and Learning Systems Paper Award; in 2013 the IBM Faculty award; in 2004 the IEEE Instrumentation and Measurement Society Young Engineer Award.

Current research activity addresses adaptation and learning in non-stationary environments, graphs learning and Intelligence for embedded and cyber-physical systems. He holds 8 patents, has published one monograph book, 7 edited books and about 200 papers in international journals and conference proceedings.

Invited Lecture II:

Deep Learning and Deep Knowledge Representation of Time-Space Data in Brain-Inspired Spiking Neural Networks Prof. Nikola Kasabov Director, Knowledge Engineering and Discovery Research Institute Auckland University of Technology, Auckland, New Zealand Advisory/Visiting Professor Shanghai Jiaotong University, ETH/UZH Zurich and RG University, UK

Abstract

Despite their tremendous success to learn large volumes of data, the traditional deep neural networks lack methods to represent knowledge in their rigid structures and are not efficient to capture spatio-temporal patterns from data that are deep in time and space. The talk argues and demonstrates that the third generation of artificial neural networks, the spiking neural networks (SNN), can be used to design brain-inspired architecture that are not only capable of deep learning of spatio-temporal data, but also enabling the extraction of deep spatio- temporal knowledge representation from the learned models. Similarly to how the brain learns time-space data, these SNN models do not need to be restricted in number of layers, neurons in each layer, etc. This approach is illustrated on an exemplar SNN architecture NeuCube) and case studies of brain and environmental data (www.kedri,.aut.ac.nz/neucube). Full details of this presentation are included in the reference below.

Kasabov, N (2018) Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence, Springer, 750 pp, https://www.springer.com/gp/book/9783662577134

Biosketches

Professor Nikola Kasabov is Fellow of IEEE, Fellow of the Royal Society of New Zealand, DVF of the Royal Academy of Engineering, UK and the Scottish Computer Association. He is the Director of the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland and Professor at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology. Kasabov is President-Elect of the Asia Pacific Neural Network Society (APNNS) to serve as the President in 2019. He is a Past President of the International Neural Network Society (INNS) and APNNS. He is a member of several technical

committees of IEEE Computational Intelligence Society and a Distinguished Lecturer of the IEEE CIS (2012-2014). He is a Co-Editor-in-Chief of the Springer journal Evolving Systems and serves as Associate Editor of Neural Networks, IEEE TrNN, - Tr CDS, -TrFS, Information Science, Applied Soft Computing and other journals. Kasabov holds MSc and PhD from the TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, intelligent information systems, soft computing, bioinformatics, neuroinformatics. He has published more than 600 publications. He has extensive academic experience at various academic and research organisations in Europe and Asia, including: TU Sofia Bulgaria; University of Essex UK; University of Otago, NZ, Advisor Professor at the Shanghai Jiao Tong University, Visiting Professor at ETH/University of Zurich and Robert Gordon University in the UK. Prof. Kasabov has received a number of awards, among them: INNS Ada Lovelace Meritorious Service Award; NN Best Paper Award; APNNA ‘Outstanding Achievements Award’; INNS Gabor Award for ‘Outstanding contributions to engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and Technology Medal; the 2015 AUT Medal for outstanding academic contribution; Honorable Member of the Bulgarian Academic Society for Computer Science and IT, and others. More information of Prof. Kasabov can be found on the KEDRI web site: http://www.kedri.aut.ac.nz.

Best Paper Award Finalists

1. Best Paper Award Finalists

(1) Reinforcement Learning Policy Network Architecture with Proportional-Integral Control by Ye Huang, Chaochen Gu, Kaijie Wu and Xinping Guan (2) Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF Neural Networks by Liang Peng, Chen Wang, Lincong Luo, Sheng Chen, Zeng-Guang Hou and Weiqun Wang (3) Proposal of complex-valued convolutional neural networks for similar land-shape discovery in interferometric synthetic aperture radar by Yuki Sunaga, Ryo Natsuaki and Akira Hirose (4) N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers by Aliaksandr Adamenko, Andrii Fedorenko and Erich Schikuta (5) Learning, Storing, and Disentangling Correlated Patterns in Neural Networks by Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang and Si Wu (6) BayesGrad: Explaining Predictions of Graph Convolutional Networks by Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-Ichi Maeda, Yukino Baba and Hisashi Kashima

2. Best Student Paper Award Finalists

(1) Zero-Shot Learning with Superclasses by Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen and Zhiwu Lu (2) A Wiener causality defined by relative entropy by Junya Chen, Jianfeng Feng and Wenlian Lu (3) Heterogeneous Multi-Task Learning of Evaluation Functions for Chess and Shogi by Shanchuan Wan and Tomoyuki Kaneko (4) Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method by Xiaoyang Gao, Tieshan Li and Qihe Shan (5) Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis by Jack Dray, Elisa Capecci and Nikola Kasabov (6) A Feature Filter for EEG Using Cycle-GAN Structure by Yue Yao, Jo Plested and Tom Gedeon

Technical Program

Friday, December 14, 1:30PM-3:30PM

Award Session: FriAA1 Best Paper Award Session, Chair: Minho Lee, Room: Romdul

1:30PM Reinforcement Learning Policy Network Architecture with Proportional-Integral Control Ye Huang, Chaochen Gu, Kaijie Wu and Xinping Guan 1:50PM Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF Neural Networks Liang Peng, Chen Wang, Lincong Luo, Sheng Chen, Zeng-Guang Hou and Weiqun Wang 2:10PM Proposal of complex-valued convolutional neural networks for similar land-shape discovery in interferometric synthetic aperture radar Yuki Sunaga, Ryo Natsuaki and Akira Hirose 2:30PM N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers Aliaksandr Adamenko, Andrii Fedorenko and Erich Schikuta 2:50PM Learning, Storing, and Disentangling Correlated Patterns in Neural Networks Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang and Si Wu 3:10PM BayesGrad: Explaining Predictions of Graph Convolutional Networks Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-Ichi Maeda, Yukino Baba and Hisashi Kashima

FriAA2 Optimization 1, Chairs: Zhi-Hui Zhan and Sitian Qin, Room: Yihub

1:30PM An Adaptive Ant Colony System for Public Bicycle Scheduling Problem Di Liang, Zhi-Hui Zhan and Jun Zhang 1:50PM An Artificial Neural Network for Distributed Constrained Optimization Na Liu, Wenwen Jia, Sitian Qin and Guocheng Li 2:10PM An Estimation of Distribution Algorithm for Large-Scale Optimization with Cooperative Co-evolution and Local Search Jia-Ying Lin, Wei-Neng Chen and Jun Zhang 2:30PM A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization Hangjun Che and Jun Wang 2:50PM Modularity Maximization for Community Detection using Genetic Algorithm Hu Lu and Dingan Liao 3:10PM A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem Shenshen Gu and Xinyi Chen

FriAA3 Spiking Neural Networks 1, Chairs: Sou Nobukawa and Qiang Yu, Room: Champei

1:30PM Skewed and Long-Tailed Distributions of Spiking Activity in Coupled Network Modules with Log-Normal Synaptic Weight Distribution Sou Nobukawa, Haruhiko Nishimura and Teruya Yamanishi 1:50PM Efficient Multi-Spike Learning with Tempotron-like LTP and PSD-like LTD Qiang Yu, Longbiao Wang and Jianwu Dang 2:10PM A Ladder-type Digital Spiking Neural Network Hiroaki Uchida and Toshimichi Saito 2:30PM The Effects of Feedback Signals Mediated by NMDA-type Synapses for Modulating Border-Ownership Selective Neurons in Visual Cortex Nobuhiko Wagatsuma and Hiroaki Konno 2:50PM Modelling and Analysis of Temporal Gene Expression Data using Spiking Neural Networks Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai La˜na, Gautam Kishore Shahi and Nikola Kasabov 3:10PM A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development Dong Niu, Dengju Li, Rui Yan and Huajin Tang

FriAA4 Classification 1, Chairs: Jacek Mándziuk and Yu Qiao, Room: Krovan

1:30PM Discrete Sparse Hashing for Cross-Modal Similarity Search Lu Wang, Chao Ma, Enmei Tu, Jie Yang and Nikola Kasabov 1:50PM Solving the Double Dummy Bridge Problem with Shallow Autoencoders Jacek Mándziuk and Jakub Suchan 2:10PM Cross-Project Issue Classification based on Ensemble Modeling in a Social Coding World Yarong Zeng, Yue Yu, Qiang Fan, Xunhui Zhang, Tao Wang, Gang Yin and Huaimin Wang 2:30PM Decision Tree Twin Support Vector Machine Based on Kernel Clustering for Multi-class Classification Qingyun Dou and Li Zhang 2:50PM Machine Learning Techniques for Classification of Livestock Behavior Natasa Kleanthous, Abir Hussain, Alex Mason, Jennifer Sneddon, Paul Fergus, Andy Shaw, Carl Chalmers and Dhiya Al-Jumeily 3:10PM A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang and Nikola Kasabov

FriAA5 Social Systems 1, Chairs: Adil Imad Eddine and Rajkumar Das, Room: Nakry

1:30PM Least Cost Rumor Influence Minimization in Multiplex Social Networks Adil Imad Eddine Hosni, Kan Li, Ding Cangfeng and Sadique Ahmad

1:50PM Estimation of student classroom attention using a novel measure of head motion coherence Naoyuki Sato and Atsuko Tominaga 2:10PM Structure, Attribute and Homophily Preserved Social Network Embedding Le Zhang, Xiang Li, Jiahui Shen and Xin Wang 2:30PM HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social Networks Adil Imad Eddine Hosni, Kan Li and Sadique Ahmad 2:50PM Influence of Clustering on the Opinion Formation Dynamics in Online Social Networks Rajkumar Das, Joarder Kamruzzaman and Gour Karmakar 3:10PM Large Scale Behavioral Analysis of Ransomware Attacks Timothy McIntosh, Julian Jang-Jaccard and Paul Watters

FriAA6 Emerging Modeling Techniques 1, Chairs: Katsutoshi Saeki and Li-Ming Zhao, Room: Romchong

1:30PM Central Pattern Generator based on Interstitial Cell Models made from Bursting Neuron Models Takahiro Toizumi and Katsutoshi Saeki 1:50PM Hopfield Neural Network with Double-layer Amorphous Metal-Oxide Semiconductor Thin-Film Devices as Crosspoint-type Synapse Elements and Working Confirmation of Letter Recognition Mutsumi Kimura, Kenta Umeda, Keisuke Ikushima, Toshimasa Hori, Ryo Tanaka, Tokiyoshi Matsuda, Tomoya Kameda and Yasuhiko Nakashima 2:10PM FPGA based Hardware Implementation of Simple Dynamic Binary Neural Networks Shunsuke Aoki, Seitaro Koyama and Toshimichi Saito 2:30PM Fast Depthwise Separable Convolution for Embedded Systems Byeongheon Yoo, Yongjun Choi and Heeyoul Choi 2:50PM An Analog Circuit Design for k-Winners-Take-All Operations Xiaoyang Liu and Jun Wang 3:10PM Active Feedback Framework with Scan-path Clustering for Deep Affective Models Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng and Bao-Liang Lu Friday, December 14, 4:00PM-6:00PM

Award Session: FriAB1 Best Student Paper Award Session, Chair: S. Arik, Room: Romdul

4:00PM Zero-Shot Learning with Superclasses Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen and Zhiwu Lu 4:20PM A Wiener causality defined by relative entropy Junya Chen, Jianfeng Feng and Wenlian Lu 4:40PM Heterogeneous Multi-Task Learning of Evaluation Functions for Chess and Shogi

Shanchuan Wan and Tomoyuki Kaneko 5:00PM Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method Xiaoyang Gao, Tieshan Li and Qihe Shan 5:20PM Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis Jack Dray, Elisa Capecci and Nikola Kasabov 5:40PM A Feature Filter for EEG Using Cycle-GAN Structure Yue Yao, Jo Plested and Tom Gedeon

FriAB2 Optimization 2, Chairs: Hong Xie and Rakesh Kumar Sanodiya, Room: Yihub

4:00PM Adaptive Crossover Memetic Differential Harmony Search for Optimizing Document Clustering Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung and Hong Xie 4:20PM Neurodynamics-Based Nonnegative Matrix Factorization for Classification Nian Zhang and Keenan Leatham 4:40PM A Multi-Kernel Semi-Supervised Metric Learning using Multi-objective Optimization Approach Rakesh Kumar Sanodiya, Sriparna Saha and Jimson Mathew 5:00PM Software-as-a-Service Composition in Cloud Computing using Genetic Algorithm Samuel Toh and Maolin Tang 5:20PM Evolving Computationally Efficient Hashing for Similarity Search David Iclanzan, Sándor Szilágyi and László Szilágyi 5:40PM Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization Chun Wa Leung, Sin Chun Ng and Andrew K Lui

FriAB3 Spiking Neural Networks 2, Chairs: Jean Benoit Heroux and Jonathan Manton, Room: Champei

4:00PM Delayed Feedback Reservoir Computing with VCSEL Jean Benoit Heroux, Naoki Kanazawa and Daiju Nakano 4:20PM Modeling the respiratory Central Pattern Generator with resonate-and-fire Izhikevich- Neurons Pavel Tolmachev, Rishi Dhingra, Michael Pauley, Mathias Dutschmann and Jonathan Manton 4:40PM Proposal of carrier-wave reservoir computing Akira Hirose, Gouhei Tanaka, Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, Jean Benoit Heroux, Daiju Nakano and Ryosho Nakane 5:00PM Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing Toshiyuki Yamane, Hidetoshi Numata, Jean Benoit Heroux, Naoki Kanazawa, Seiji Takeda, Gouhei Tanaka, Ryosho Nakane, Akira Hirose and Daiju Nakano 5:20PM SSteGAN: Self-learning Steganography Based on Generative Adversarial Networks

Zihan Wang, Neng Gao, Xin Wang, Xuexin Qu and Linghui Li 5:40PM NVM Weight Variation Impact on Analog Spiking Neural Network Chip Akiyo Nomura, Megumi Ito and Atsuya Okazaki

FriAB4 Classification 2, Chairs: Sangwook Kim and Lei Zhu, Room: Krovan

4:00PM The Fuzzy Misclassification Analysis with Deep Neural Network for Handing Class Noise Problem Anupiya Nugaliyadde, Ratchakoon Pruengkarn and Kok Wai Wong 4:20PM Privacy-Preserving naive Bayes Classification using Fully Homomorphic Encryption Sangwook Kim, Masahiro Omori, Takuya Hayashi, Toshiaki Omori, Lihua Wang and Seiichi Ozawa 4:40PM Tropical fruits classification using an AlexNet-type Convolutional Neural Network and Image Augmentation Alberto Patino-Saucedo, Horacio Rostro-Gonzalez and Jorg Conradt 5:00PM Supervised and Semi-Supervised Multi-Task Binary Classification Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew and Arpita Raj 5:20PM Employ Decision Value for Binary Soft Classifier Evaluation with Crispy Reference Lei Zhu, Tao Ban, Takeshi Takahashi and Daisuke Inoue 5:40PM Shape Clustering as a Type of Procrustes Analysis Kazunori Iwata

FriAB5 Social Systems 2, Chairs: Benjamin Nussbaum and Juntao Wang, Room: Nakry

4:00PM A Lightweight Cloud Execution Stack for Neural Network Simulation Benjamin Nussbaum and Erich Schikuta 4:20PM Intelligent University Library Information Systems to Support Students Efficient Learning Laszlo Barna Iantovics, Corina Rotar and Elena Nechita 4:40PM Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions Zhenyue Qin, Tom Gedeon and Sabrina Caldwell 5:00PM Dynamic streaming sensor data segmentation for smart environment applications Hela Sfar and Amel Bouzeghoub 5:20PM Gaussian Process Kernels for Noisy Time Series: Application to Housing Price Prediction Juntao Wang, Wun Kwan Yam, Kin Long Fong, Siew Ann Cheong and K. Y. Michael Wong 5:40PM Accounting Results Modelling with Neural Networks: The Case of an International Oil and Gas Company Yang Duan, Chung-Hsing Yeh and David Dowe

FriAB6 Stability Analysis, Chairs: Jiali Yu and Hao Qiang, Room: Romchong

4:00PM Sparse Feature Learning using Ensemble Model for Highly-correlated High- dimensional Data Ali Braytee, Ali Anaissi and Paul Kennedy 4:20PM Task and Instance Quadratic Ordering for Active Online Multitask Learning Jing Zhao, Shaoning Pang, Iman Tabatabaei Ardekani, Yuji Sekiya and Daisuke Miyamoto 4:40PM Anti-synchronization of chaotic neural networks with mixed delays Dan Liu and Dan Ye 5:00PM Incremental stability of neural networks with switched parameters and time delays via contraction theory of multiple norms Hao Qiang and Wenlian Lu 5:20PM Lag synchronization of complex-valued neural networks with time delays Jiarong Li, Haijun Jiang, Cheng Hu and Juan Yu 5:40PM Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights Jiali Yu, Zhang Yi, Chunxiao Wang, Yong Liao and Zhixin Pang

Saturday, December 15, 08:00AM-10:00AM

SatMA1 Invited Talk, Room: Romdul

8:00AM Adversarial Learning and Constant Curvature Manifolds to Detect Changes in Graph Streams Prof. Cesare Alippi, Politecnico di Milano, Milan, Italy and Universita' della Svizzera italiana,Lugano, Switzerland 8:40AM Deep Learning and Deep Knowledge Representation of Time-Space Data in Brain- Inspired Spiking Neural Networks Prof. Nikola Kasabov, Auckland University of Technology, Auckland, New Zealand

SatMA2 Feature Selection, Chairs: Jianhua Xu and Yuichi Sakumura, Room: Yihub

8:00AM Multi-label Feature Selection Method Combining Unbiased Hilbert-Schmidt Independence Criterion with Controlled Genetic Algorithm Chang Liu, Quan Ma and Jianhua Xu 8:20AM Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training Shixin Ren, Weiqun Wang, Zeng-Guang Hou, Xu Liang, Jiaxing Wang and Liang Peng 8:40AM Robust Multi-view Features Fusion Method Based on CNMF Bangjun Wang, Liu Yang, Li Zhang and Fanzhang Li 9:00AM An Effective Discriminative Learning Approach for Emotion-Specific Features Using Deep Neural Networks Shuiyang Mao and Pak Chung Ching 9:20AM Multi-label Feature Selection Method Based on Multivariate Mutual Information and Particle Swarm Optimization Xidong Wang, Lei Zhao and Jianhua Xu 9:40AM Feature Selection using Distance from Classification Boundary and Monte Carlo Simulation Yutaro Koyama, Kazushi Ikeda and Yuichi Sakumura

SatMA3 Supervised Learning 1, Chairs: Adedamola Wuraola and Prospero Naval, Room: Champei

8:00AM Stochasticity-Assisted Training in Artificial Neural Network Adedamola Wuraola and Nitish Patel 8:20AM An Independent Approach to Training Classifiers on Physiological Data: An Example using Smiles Md Zakir Hossain and Tom Gedeon 8:40AM Mixed Precision Weight Networks: Training Neural Networks with Varied Precision Weights Ninnart Fuengfusin and Hakaru Tamukoh 9:00AM Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural

Network Hideki Oki and Takio Kurita 9:20AM Induced Exploration on Policy Gradients by Increasing Actor Entropy using Advantage Target Regions Alfonso Labao, Carlo Raquel and Prospero Naval 9:40AM MCP based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers Chi Sing Leung, Hao Wang and John Sum

SatMA4 Embedding Learning 1, Chairs: Subba Reddy Oota and Minho Lee, Room: Krovan

8:00AM fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings Subba Reddy Oota, Naresh Manwani and Bapi Raju Surampudi 8:20AM Category-Embodied Knowledge Embedding Maoyuan Zhang, Qi Wang, Zhou Xu, Jianping Zhu, Shuyuan Sun and Yang Wen 8:40AM Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering Xiaohui Luo, Li Zhang, Fanzhang Li and Chengxiang Hu 9:00AM Topic-Bigram Enhanced Word Embedding Model Qi Yang, Ruixuan Li, Yuhua Li and Qilei Liu 9:20AM Hybridized Character-Word Embedding for Korean Traditional Document Translation Hosang Yu, Gil-Jin Jang and Minho Lee

SatMA5 Time-series Analysis, Chairs: Kitsuchart Pasupa and Min Han, Room: Nakry

8:00AM Handling Concept Drift in Time-series Data: Meta-cognitive Recurrent Recursive- Kernel OS-ELM Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa 8:20AM Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series Shoya Matsuzaki, Kazuya Matsuo and Shuichi Kurogi 8:40AM Marine Multiple Time Series Relevance Discovery Based on Complex Network Lei Wang, Zongwen Huang, Suixiang Shi, Kuo Chen, Lingyu Xu and Gaowei Zhang 9:00AM An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification Wei Zhang, Zhihai Wang, Jidong Yuan and Shilei Hao 9:20AM Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA Weijie Li, Min Han and Shoubo Feng

SatMA6 Emerging Learning Approaches 1, Chairs: Miao Cheng and Tetsuo Furukawa, Room: Romchong

8:00AM A Family of Maximum Margin Criterion for Adaptive Learning Miao Cheng, Zunren Liu, Hongwei Zou and Ah Chung Tsoi 8:20AM Multi-task manifold learning using hierarchical modeling for insufficient samples

Hideaki Ishibashi, Kazushi Higa and Tetsuo Furukawa 8:40AM InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo and Zhiwu Lu 9:00AM A New Robust Stability Result for Delayed Neural Networks Ozlem Faydasicok, Cemal Cicek and Sabri Arik 9:20AM A Novel Criterion for Global Asymptotic Stability of Neutral-Type Neural Networks with Discrete Time Delays Ozlem Faydasicok and Sabri Arik 9:40AM Simultaneous analysis of subjective and objective data by coupled tensor self-organizing maps: Wine aroma analysis from sensory and chemical test Keisuke Yoneda, Kimihiro Nakano, Keiichi Horio and Tetsuo Furukawa

Saturday, December 15, 10:30AM-12:30AM

SatMB1 Workshop: Advances in Cybersecurity 1, Room: Romdul

11:30AM Learning Adversarially for Robust Pattern Recognition Kaizhu Huang

SatMB2 Recurrent Neural Networks, Chairs: Son Tran and Adarsh Sharma, Room: Yihub

10:30AM Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling Son Tran, Qing Zhang, Anthony Nguyen, Xuan-Son Vu and Son Ngo 10:50AM Design of synthesizing multi-valued high-capacity auto-associative memories based on complex-valued networks Chunlin Sha and Hongyong Zhao 11:10AM Analysis on the Occurrence of Tropical cyclone in the South Pacific Region using Recurrent Neural Network with LSTM Adarsh Sharma, Vishal Prasad, Roneel Kumar and Anuraganand Sharma 11:30AM Combining User-based and Session-based Recommendations with Recurrent Neural Networks Minh Phuong Tu, Cong Thanh Tran and Xuan Bach Ngo 11:50AM EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo Throughput Prediction Yan Li, Ryan Wen Liu, Quandang Ma and Jingxian Liu 12:10AM Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation Yang Song, Wenxin Hu, Qinmin Hu, Liang He and Qin Chen

SatMB3 Supervised Learning 2, Chairs: Chi Sing Leung and Pey Yun Goh, Room: Champei

10:30AM Fault-Resistant Algorithms For Single Layer Neural Networks

Chi Sing Leung, Muideen Adegoke and John Sum 10:50AM Adversarial Minimax Training for Robustness against Adversarial Examples Ryota Komiyama and Motonobu Hattori 11:10AM A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram Pey Yun Goh, Shing Chiang Tan and Wooi Ping Cheah 11:30AM Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo and Haotian Guan 11:50AM Brain Functional Connectivity Analysis and Crucial Channel Selection Using Channel- Wise CNN Jiaxing Wang, Weiqun Wang, Zeng-Guang Hou, Xu Liang, Shixin Ren and Liang Peng 12:10AM A Robust LPNN Technique for Target Localization under Hybrid TOA/AOA Measurements Chi Sing Leung, Muideen Adegoke and John Sum

SatMB4 Embedding Learning 2, Chairs: Jatin Goyal and Wenfeng Liu, Room: Krovan

10:30AM Meta-path Based Heterogeneous Graph Embedding for Music Recommendation Qianqi Fang, Ling Liu, Junliang Yu and Junhao Wen 10:50AM Knowledge Graph Embedding via Entities’ Type Mapping Matrix Md Mostafizur Rahman and Atsuhiro Takasu 11:10AM A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-tree Wenfeng Liu, Peiyu Liu, Jing Yi, Yuzhen Yang, Weitong Liu and Nana Li 11:30AM ASD: A Framework for Generation of Task Hierarchies for Transfer in Reinforcement Learning Jatin Goyal, Abhijith Madan, Akshay Narayan and Shrisha Rao 11:50AM Text Simplification with Self-Attention-Based Pointer-Generator Networks Tianyu Li, Yun Li, Jipeng Qiang and Yun-Hao Yuan

SatMB5 Biomedical Applications 1, Chairs: Zhiyong Wang and Gal Gorjup, Room: Nakry

10:30AM Deep Feature Learning and Visualization for EEG Recording Using Autoencoders Yue Yao, Jo Plested and Tom Gedeon 10:50AM Influence of Difference of Spatial Information Obtained from a Moving Virtual Sound Presentation on Auditory BCI Yuki Onodera, Isao Nambu and Yasuhiro Wada 11:10AM Association Study of Alzheimer’s Disease with Tree-guided Sparse Canonical Correlation Analysis Shangchen Zhou, Shuai Yuan, Zhizhuo Zhang and Zenglin Xu 11:30AM Relevance of frequency of heart-rate peaks as indicator of ‘biological’ stress level Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal and Britt Klein 11:50AM Development of a Real-Time Motor-Imagery-Based EEG Brain-Machine Interface

Gal Gorjup, Rok Vrabiˇc, Stoyan Petrov Stoyanov, Morten Østergaard Andersen and Poramate Manoonpong 12:10AM Robust Eye Center Localization based on an improved SVR method Zhiyong Wang, Haibin Cai and Honghai Liu

SatMB6 Emerging Learning Approaches 2, Chairs: Jingjing Fei and Radu Tudor Ionescu, Room: Romchong

10:30AM Active Learning Methods with Deep Gaussian Processes Jingjing Fei, Jing Zhao, Shiliang Sun and Yan Liu 10:50AM Transductive Learning with String Kernels for Cross-Domain Text Classification Radu Tudor Ionescu and Andrei Madalin Butnaru 11:10AM Overcoming Catastrophic Forgetting with Self-adaptive Identifiers Fangzhou Xiong, Zhiyong Liu and Xu Yang 11:30AM MultNet: An Efficient Network Representation Learning for Large-scale Social Relation Extraction Jun Yuan, Neng Gao, Lei Wang and Zeyi Liu 11:50AM Heterogeneous dyadic multi-task learning with implicit feedbacks Simon Moura, Amir Asarbaev, Massih-Reza Amini and Yury Maximov 12:10AM Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error- Correcting Output Codes Shota Utsumi and Keisuke Kameyama

Saturday, December 15, 1:30PM-3:30PM

SatAA1 Workshop: Advances in Cybersecurity 2, Room: Romdul

1:30PM Rebellion of IoT: Infected Massive IoT Devices Observed through Darknet (TBC) Daisuke Inoue (NICT, Japan) 2:10PM Winner Presentation of CDMC Competition To be announced 2:30PM Mobile Malware Detection - an Analysis of the Impact of Feature Categories Mahbub E Khoda, Joarder Kamruzzaman, Iqbal Gondal and Tasadduq Imam 2:50PM Employ Decision Value for Binary Soft Classifier Evaluation with Crispy Reference Lei Zhu, Tao Ban, Takeshi Takahashi and Daisuke Inoue 3:10PM Deep Transfer Learning Via Minimum Enclosing Balls Zhilong Deng, Fan Liu, Jiangjiang Zhao, Qiang Wei and Shaoning Pang

SatAA2 APNNS Board Meeting, Room: Yihub

SatAA3 Prediction 1, Chairs: Pratik Dutta and Pengcheng Li, Room: Champei

1:30PM Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A PSO Based Approach

Pratik Dutta, Sriparna Saha and Agni Besh Chauhan 1:50PM Prediction of Taxi Demand Based on ConvLSTM Neural Network Pengcheng Li, Min Sun and Mingzhou Pang 2:10PM Prediction of molecular packing motifs in organic crystals by neural graph fingerprints Daiki Ito, Raku Shirasawa, Shinnosuke Hattori, Shigetaka Tomiya and Gouhei Tanaka 2:30PM Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions Artem Betlei, Eustache Diemert and Massih-Reza Amini 2:50PM Predicting functional interactions among DNA-binding proteins Matloob Khushi, Nazim Choudhury, Jonathan Arthur, Christine Clarke and Dinny Graham 3:10PM Prediction Based on Online Extreme Learning Machine in WWTP Application Weiwei Cao and Qinmin Yang

SatAA4 Convolution Neural Networks 1, Chairs: Bing-Jhang Lin and Shuiquan Wang, Room: Krovan

1:30PM Use 3D Convolutional Neural Network to Inspect Solder Ball Defects Bing-Jhang Lin, Ting-Chen Tsan, You-Hsien Lee, Tzu-Chia Tung and Chiou-Shann Fuh 1:50PM User-Invariant Facial Animation with Convolutional Neural Network Shuiquan Wang, Fuqing Duan, Liang Chang, Zhengxin Cheng and Xuejun Qiao 2:10PM An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network Hao Wang, Dongsheng Yang, Yongheng Pang, Ting Li and Bo Hu 2:30PM Gated Convolutional Networks for Commonsense Machine Comprehension Wuya Chen, Xiaojun Quan and Chengbo Chen 2:50PM Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids Muhammad Imran Razzak, Saad Ahemd, Rubiyah Yusof and Saeeda Naz 3:10PM Human action recognition with 3D convolution skip-connections and RNNs Jiarong Song, Zhong Yang, Ting Fang, Guoxiong Hu, Jiaming Han and Cong Chen

SatAA5 Biomedical Applications 2, Chairs: Mostefa Mesbah and Liqing Zhang, Room: Nakry

1:30PM EEG Sparse Representation based Alertness States Identification using Gini Index Muna Tageldin, Talal Mashaikki, Hamza Baali and Mostefa Mesbah 1:50PM Attention-Based Network for Cross-View Gait Recognition Yuanyuan Huang, Jianfu Zhang, Haohua Zhao and Liqing Zhang 2:10PM Experimental Validation of Minimum-Jerk Principle in Physical Human-Robot Interaction Chen Wang, Liang Peng, Zeng-Guang Hou, Lincong Luo, Sheng Chen and Weiqun Wang 2:30PM Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images Md Sazzad Hossain, Andrew Paplinski and John Betts 2:50PM The relationship between the movement difficulty and brain activity before arm

movements Tomoki Semoto, Isao Nambu and Yasuhiro Wada 3:10PM A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems Jinghui Zhong, Yusen Lin, Chengyu Lu and Zhixing Huang

SatAA6 Emerging Learning Approaches 3, Chairs: Shotaro Akaho and Zehua Zeng, Room: Romchong

1:30PM Geometrical Formulation of the Nonnegative Matrix Factorization Shotaro Akaho, Hideitsu Hino, Neneka Nara and Noboru Murata 1:50PM Information Geometric Perspective of Modal Linear Regression Keishi Sando, Shotaro Akaho, Noboru Murata and Hideitsu Hino 2:10PM Learning from Audience Intelligence: Dynamic Labeled LDA Model for Time-Sync Commented Video Tagging Zehua Zeng, Cong Xue, Neng Gao, Lei Wang and Zeyi Liu 2:30PM Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning Jingzhuo Yang, Yu Wang and Qinghua Hu 2:50PM Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator Yuanheng Zhu and Dongbin Zhao 3:10PM Value Iteration Algorithm for Optimal Consensus Control of Multi-Agent Systems Qichao Zhang and Dongbin Zhao

Saturday, December 15, 4:00PM-6:00PM

SatAB1 Workshop: Advances in AI, Room: Romdul

3:50PM Improving DNN Performance with Kernelized Min-Max Objective Kai Yao, Kaizhu Huang, Rui Zhang and Amir Hussain 4:10PM Handling Concept Drift in Time-series Data: Meta-cognitive Recurrent Recursive- Kernel OS-ELM Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa 4:30PM Graph Matching based on Fast Normalized Cut Yang Jing, Yang Xu, Zhou Zhangbing and Liu Zhiyong 4:50PM Overcoming Catastrophic Forgetting with Self-adaptive Identifiers Fangzhou Xiong, Zhiyong Liu and Xu Yang 5:10PM Task and Instance Quadratic Ordering for Active Online Multitask Learning Jing Zhao, Shaoning Pang, Iman Tabatabaei Ardekani, Yuji Sekiya and Daisuke Miyamoto

SatAB2 APNNS Board meeting, Room: Yihub Room

SatAB3 Prediction 2, Chairs: Zheng Yan and Suneetha Uppu, Room: Champei

4:00PM Deep Multi-task Learning for Air Quality Prediction Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang and Tianrui Li 4:20PM Deep Structure of Gaussian Kernel Function Networks for Predicting Daily Peak Power Demands Dae Hyeon Kim, Ye Jin Lee, Rhee Man Kil and Hee Yong Youn 4:40PM Convolutional Model for Predicting SNP Interactions Suneetha Uppu and Aneesh Krishna 5:00PM Application of SMOTE and LSSVM with various Kernels for Predicting Refactoring at Method Level Lov Kumar, Shashank Mouli Satapathy and Aneesh Krishna 5:20PM Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples Jie Hang, Keji Han and Yun Li 5:40PM Transfer Learning with Active Queries for Relational Data Modeling Across Multiple Information Networks Ke-Jia Chen, Kai Zhang, Xi-Lin Jiang and Yunyun Wang

SatAB4 Convolution Neural Networks 2, Chairs: Hidenori Ide and Qi Yang, Room: Krovan

4:00PM Convolutional Neural Network with Discriminant Criterion for Input of each Neuron in Output Layer Hidenori Ide and Takio Kurita 4:20PM Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network Jinhua Song, Yang Gao and Hao Wang 4:40PM Structured Sequence Modeling with Graph Convolutional Recurrent Networks Youngjoo Seo, Micha¨el Defferrard, Pierre Vandergheynst and Xavier Bresson 5:00PM RE-CNN: A Robust Convolutional Neural Networks for Image Recognition Zhe Wang, Wenhuan Lu, Yuqing He, Naixue Xiong and Jianguo Wei 5:20PM Self-Inhibition Residual Convolutional Networks for Chinese Sentence Classification Mengting Xiong, Ruixuan Li, Yuhua Li and Qi Yang

SatAB5 Biomedical Applications 3, Chairs: Chia-Feng Juang and Deloula Mansouri, Room: Nakry

4:00PM Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster R-CNN Ying-Chih Lo, Chia-Feng Juang, I-Fang Chung, Shin-Ning Guo, ManLing Huang, Mei- Chin Wen, Cheng-Jian Lin and Hsueh-Yi Lin 4:20PM One-Bit DNA Compression Algorithm

Deloula Mansouri and Yuan Xiaohui 4:40PM Robust Segmentation of Overlapping Cells in Cervical Cytology Using Light Convolution Neural Network Shusong Xu, Chen Sang, Zengchang Qin, Yulan Jin and Tao Wan 5:00PM Semantic Similarity Measures to Disambiguate Terms in Medical Text Kai Lei, Jiyue Huang, Shangchun Si and Ying Shen 5:20PM 3D Large Kernel Anisotropic Network for Brain Tumor Segmentation Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren J. O’Donnell and Weidong Cai 5:40PM Improved Nuclear Segmentation on Histopathology Images Using A Combination of Deep Learning and Active Contour Model Lei Zhao, Tao Wan, Hongxiang Feng and Zengchang Qin

SatAB6 Emerging Learning Approaches 4, Chairs: Zilong Ji and Tulika Saha, Room: Romchong

4:00PM Neural Information Processing in Hierarchical Prototypical Networks Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi and Si Wu 4:20PM Regularized Tensor Learning with Adaptive One-Class Support Vector Machines Ali Anaissi, Young Lee and Mohamad Naji 4:40PM Semi-Supervised Multi-Label Dimensionality Reduction via Low Rank Representation Yezi Liu and Qiaoyu Tan 5:00PM Visualization method of viewpoints latent in a dataset Hideaki Ishibashi 5:20PM Localized multiple sources Self-Organizing Map Ludovic Platon, Farida Zehraoui and Fariza Tahi 5:40PM Reinforcement Learning based Dialogue Management Strategy Tulika Saha, Dhawal Gupta, Sriparna Saha and Pushpak Bhattacharyya

Sunday, December 16, 8:00AM-10:00AM

SunMA1 Robotics and Control 1, Chairs: Biao Luo and Fayeem Aziz, Room: Romdul

8:00AM Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties Yuqi Liu, Haojie Li, Wenjie Wu, Dan Wang and Zhouhua Peng 8:20AM Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two- Player Zero-Sum Game Shan Xue, Biao Luo, Derong Liu and Yueheng Li 8:40AM Q Value-based Dynamic Programming with Boltzmann Distribution by Using Neural Network Wenxin Yu, Liang Yu, Gang He, Yibo Fan, Gang He, Jiu Xu, Zhuo Yang and Zhiqiang Zhang 9:00AM Data-driven and Collision-free Hybrid Crowd Simulation Model for Real Scenario Qingrong Cheng, Zhiping Duan and Xiaodong Gu 9:20AM Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise Fayeem Aziz, Aaron S. W. Wong, James S. Welsh and Stephan K. Chalup

SunMA2 Detection 1, Chairs: Xiaoliang Xie and Weizhou Liu, Room: Yihub

8:00AM Guide-wire Detecting Based on Speeded up Robust Features for Percutaneous Coronary Intervention Pusit Prasong, Xiaoliang Xie and Zeng-Guang Hou 8:20AM New default box strategy of SSD for small target detection Yu Yao He, Bao Qi Li and Yaohua Zhao 8:40AM Drogue Detection for Autonomous Aerial Refueling Based on Adaboost and Convolutional Neural Networks Yanjie Guo, Yimin Deng and Haibin Duan 9:00AM Deep Neural Network based Salient Object Detection with Image Enhancement Lecheng Zhou and Xiaodong Gu 9:20AM Brain Slices Microscopic Detection Using Simplified SSD with Cycle-GAN Data Augmentation Weizhou Liu, Long Cheng and Deyuan Meng 9:40AM Intra-class Structure Aware Networks for Screen Defect Detection Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun and Mingli Song

SunMA3 Image and Signal Processing 1, Chairs: Kaijie Wu and Dong-Dong Niu, Room: Champei

8:00AM Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography Jinhua Sheng, Bin Chen, Bocheng Wang, Qingqiang Liu, Yangjie Ma and Weixiang Liu 8:20AM SCE-MSPFS: A Novel Deep Convolutional Features Selection Method for Image Retrieval Dong-Dong Niu, Yong Feng, Jia-Xing Shang and Bao-Hua Qiang

8:40AM A Pathology Image Diagnosis Network with Visual Interpretability and Structured Diagnostic Report Kai Ma, Kaijie Wu, Hao Cheng, Chaochen Gu, Rui Xu and Xinping Guan 9:00AM Sketch-based Image Retrieval via Compact Binary Codes Learning Xinhui Wu and Shuangjiu Xiao 9:20AM Fast Portrait Matting Using Spatial Detail-Preserving Network Shaofan Cai, Biao Leng, Zheng Ge and Guanglu Song

SunMA4 Deep Neural Networks 1, Chairs: John Lewis and Yanling Tian, Room: Krovan

8:00AM Adaptive Deep Dictionary Learning For MRI Reconstruction John Lewis, Vanika Singhal and Angshul Majumdar 8:20AM Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization Xingyu Chen, Fanghui Liu, Enmei Tu, Longbin Cao and Jie Yang 8:40AM Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot Changsheng Lu, Haotian Wang, Chaochen Gu, Kaijie Wu and Xinping Guan 9:00AM Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning Yanling Tian, Weitong Zhang, Qieshi Zhang, Jun Cheng, Pengyi Hao and Gang Lu 9:20AM Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images Sunny Verma, Wei Liu, Chen Wang and Liming Zhu 9:40AM On a fitting of a heaviside function by deep ReLU neural networks Katsuyuki Hagiwara

SunMA5 Pattern Recognition 1, Chairs: Bao-Liang Lu and Linkai Luo, Room: Nakry

8:00AM Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis Jie-Lin Qiu, Wei Liu and Bao-Liang Lu 8:20AM Neural Machine Translation for Financial Listing Documents Linkai Luo, Haiqin Yang, Sai Cheong Siu and Francis Y.L. Chin 8:40AM Unfamiliar Dynamic Hand Gestures Recognition Based on Zero-Shot Learning Jinting Wu, Kang Li, Xiaoguang Zhao and Min Tan 9:00AM Convolutional Neural Network for Machine-Printed Traditional Mongolian Font Recognition Hongxi Wei, Ya Wen, Weiyuan Wang and Guanglai Gao 9:20AM WGAN Domain Adaptation for EEG-Based Emotion Recognition Yun Luo, Si-Yang Zhang, Wei-Long Zheng and Bao-Liang Lu

SunMA6 Emerging Modeling Techniques 2, Chairs: Wonjik Kim and Zihao Dong, Room: Romchong

8:00AM Improved Kernel Density Estimation Self-organizing Incremental Neural Network to Perform Big Data Analysis Wonjik Kim and Osamu Hasegawa

8:20AM Multi-Scale feature Decode and Fuse Model with CRF Layer for Boundary Detection Zihao Dong, Ruixun Zhang and Xiuli Shao 8:40AM Sentimental Analysis for AIML-based E-Health Conversational Agents Son Tran, David Ireland and Hamed Hassanzadeh 9:00AM Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network Gaosheng Wu, Yuhua Li, Wenjin Yan, Ruixuan Li, Xiwu Gu and Qi Yang 9:20AM CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values Paul Andrei Bricman and Radu Tudor Ionescu

Sunday, December 16, 10:30AM-12:30AM

SunMB1 Robotics and Control 2, Chairs: Guanghui Wen and Muhammad Haris, Room: Romdul

10:30AM Pinning Synchronization of Complex Networks With Switching Topology and Dynamic Target System Guanghui Wen, Xinghuo Yu, Peijun Wang and Wenwu Yu 10:50AM Comparing Computing Platforms for Deep Learning on a Humanoid Robot Alexander Biddulph, Trent Houliston, Alexandre Mendes and Stephan Chalup 11:10AM Robot Navigation on Slow Feature Gradients Muhammad Haris, Mathias Franzius and Ute Bauer-Wersing 11:30AM Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles Jiasen Wang and Jun Wang 11:50AM Adaptive finite-time synchronization of inertial neural networks with time-varying delays via intermittent control Lin Cheng and Yongqing Yang 12:10AM Adaptive Critic Designs for Optimal Control of Ice Storage Air Conditioning Systems Zehua Liao and Qinglai Wei

SunAA2 Detection 2, Chairs: Mahbub E Khoda and Liqing Zhang, Room: Yihub

10:30AM Mobile Malware Detection - an Analysis of the Impact of Feature Categories Mahbub E Khoda, Joarder Kamruzzaman, Iqbal Gondal and Tasadduq Imam 10:50AM Recurrent RetinaNet: A Video Object Detection Model Based on Focal Loss Xiaobo Li, Haohua Zhao and Liqing Zhang 11:10AM Neural Causality Detection for Multi-dimensional Point Processes Tianyu Wang, Christian Walder and Tom Gedeon 11:30AM Density-induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process Yangtao Xue, Li Zhang, Bangjun Wang and Baige Tang 11:50AM Actor Model Anomaly Detection Using Kernel Principal Component Analysis Chunze Wang, Jing Wang, Chun Wang and Qiwei Shen

12:10AM Passive Detection of Splicing and Copy-Move Attacks in Image Forgery Mohammad Manzurul Islam, Joarder Kamruzzaman, Gour Karmakar, Manzur Murshed and Gayan Kahandawa

SunMB3 Image and Signal Processing 2, Chairs: Muhammad Zeeshan Baig and Jiachun Wang, Room: Champei

10:30AM EEG Signal Analysis in 3D Modelling to Identify Correlations between Task Completion in Design User’s Cognitive Activities Muhammad Zeeshan Baig and Manolya Kavakli 10:50AM Intelligent Educational Data Analysis with Gaussian Processes Jiachun Wang, Jing Zhao, Shiliang Sun and Dongyu Shi 11:10AM Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote Sensing Images Xuewei Li, Hongqian Shen, Chenhan Wang, Han Jiang, Ruiguo Yu, Jianrong Wang and Mankun Zhao 11:30AM An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-ray CT Image Reconstruction Jinhua Sheng, Bin Chen, Bocheng Wang, Yangjie Ma, Qingqiang Liu and Weixiang Liu 11:50AM DeepITQA: Deep Based Image Text Quality Assessment Hongyu Li, Fan Zhu and Junhua Qiu

SunMB4 Deep Neural Networks 2, Chairs: Sihui Luo and Parham M. Kebria, Room: Krovan

10:30AM Efficient Integer Vector Homomorphic Encryption Using Deep Learning for Neural Networks Tianying Xie and Yantao Li 10:50AM DeepSIC: Deep Semantic Image Compression Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao and Mingli Song 11:10AM Teach to Hash: A Deep Supervised Hashing Framework with Data Selection Xiang Li, Chao Ma, Jie Yang and Yu Qiao 11:30AM Multi-view Deep Gaussian Processes Shiliang Sun and Qiuyang Liu 11:50AM Data Imputation of Wind Turbine Using Generative Adversarial Nets with Deep Learning Models Fuming Qu, Jinhai Liu, Xiaowei Hong and Yu Zhang 12:10AM Deep Imitation Learning: The Impact of Depth on Policy Performance Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani and Saeid Nahavandi

SunMB5 Pattern Recognition 2, Chairs: Tom Gedeon and Qiaoming Zhu, Room: Nakry

10:30AM Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants

Zhenyue Qin, Tom Gedeon, Lu Chen, Xuanying Zhu and Md Zakir Hossain 10:50AM Interactive sketch recognition framework for geometric shapes Abdelrahman Fahmy, Wael Abdelhamid and Amir Atiya 11:10AM Event Factuality Identification via Hybrid Neural Networks Zhong Qian, Peifeng Li, Guodong Zhou and Qiaoming Zhu 11:30AM A Storm-based Parallel Clustering Algorithm of Streaming Data Fang-Zhu Xu, Zhi-Ying Jiang, Yan-Lin He, Ya-Jie Wang and QunXiong Zhu 11:50AM Leveraging Similar Reviews to Discover What Users Want Zongze Jin, Yun Zhang, Weimin Mu and Weiping Wang 12:10AM Deep Learning for Real Time Facial Expression Recognition in Social Robots Ariel Ruiz-Garcia, Nicola Webb, Vasile Palade, Mark Eastwood and Mark Elshaw

SunMB6 Emerging Modeling Techniques 3, Chairs: Adedamola Wuraola and Srinivasa Chakravarthy, Room: Romchong

10:30AM Computationally Efficient Radial Basis Function Adedamola Wuraola and Nitish Patel 10:50AM A Model for Age and Gender Profling of Social Media Accounts Based on Post Contents Jan Kristoffer Cheng, Avril Ranezca Fernandez, Rissa Grace Marie Quindoza, Shayane Tan and Charibeth Cheng 11:10AM Scene Graph Generation based on Node-relation Context Module Xin Lin, Yonggang Li, Chunping Liu, Yi Ji and Jianyu Yang 11:30AM Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map Bhadra S. Kumar, Avinash Kori, Sundari Elango and Srinivasa Chakravarthy 11:50AM Analysis, Classication and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks Gautam Kishore Shahi, Imanol Bilbao, Elisa Capecci, Durgesh Nandini, Maria Choukri and Nikola Kasabov 12:10AM An Effective Single-Image Super-Resolution Model Using Squeeze-andExcitation Networks Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye and Mingwen Wang

Sunday, December 16, 1:30PM-3:30PM

SunAA1 Robotics and Control 3, Chairs: Seul Jung and Sayan Sinha, Room: Romdul

1:30PM Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function Sayan Sinha, Ashish Kumar Gaurav, Mehul Kumar Nirala and Saurabh Agarwal 1:50PM Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network Kumar Dheenadayalan, Muralidhara V N and Gopalakrishnan Srinivasaraghavan 2:10PM Modelling Predictive Information of Stochastic Dynamics in the Retina

Min Yan, Yiko Chen, C. K. Chan and K. Y. Michael Wong 2:30PM A Neural Network Compensation Technique for an Inertia Estimation Error of a Time delayed Controller for a Robot Manipulator Seul Jung 2:50PM Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segmentation Jialiang Hu and Ying Wen

SunAA2 Detection 3, Chairs: Xinyi Le and Yu Qiao, Room: Yihub

1:30PM Learning Latent Byte-level feature representation for Malware Detection Mahmood Yousefi-Azar, Len Hamey, Vijay Varadharajan and Shiping Chen 1:50PM Occlusion Detection in Visual Tracking: A New Framework and A New Benchmark Xiaoguang Niu, Yueyang Gu, Zhifeng Lu, Zehua Hong, Yi Tian, Kuan Xu, Jie Yang, Xingqi Fang and Yu Qiao 2:10PM Detecting the Doubt Effect and Subjective Beliefs using Neural Networks and Observers’ Pupillary Responses Xuanying Zhu, Zhenyue Qin, Tom Gedeon, Richard Jones, Md Zakir Hossain and Sabrina Caldwell 2:30PM Driver Sleepiness Detection Using LSTM Neural Network Yini Deng, Yingying Jiao and Bao-Liang Lu 2:50PM A Deep Learning based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding Mauajama Firdaus, Shobhit Bhatnagar, Asif Ekbal and Pushpak Bhattacharyya 3:10PM An Image-Based Approach for Defect Detection on Decorative Sheets Boyu Zhou, Xin He, Zhongyi Zhou and Xinyi Le

SunAA3 Image and Signal Processing 3, Chairs: Aneta Neumann and Shuichi Kurogi, Room: Champei

1:30PM Cascaded deep hashing for large-scale image retrieval Jun Lu and Li Zhang 1:50PM Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers Via Using Pole Distribution of Speech Signals Toshiki Tagomori, Kazuya Matsuo and Shuichi Kurogi 2:10PM Deep adaptive update of discriminant KCF for visual tracking Xin Ning, Weijun Li and Weijuan Tian 2:30PM Evolution of Images with Diversity and Constraints using a Generative Adversarial Network Aneta Neumann, Christo Pyromallis and Bradley Alexander 2:50PM Linear Periodic Discriminant Analysis of Multidimensional Signals Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, Andr´e Mouraux and Michel Verleysen

SunAA4 Deep Neural Networks 3, Chairs: Kaizhu Huang and Xuhong Wei, Room: Krovan

1:30PM Improving DNN Performance with Kernelized Min-Max Objective Kai Yao, Kaizhu Huang, Rui Zhang and Amir Hussain 1:50PM Accelerating Deep Q Network by weighting experiences Kazuhiro Murakami, Koichi Moriyama, Atsuko Mutoh, Tohgoroh Matsui and Nobuhiro Inuzuka 2:10PM Exploring Deep Learning Architectures coupled with CRF based Prediction for Slot- Filling Tulika Saha, Sriparna Saha and Pushpak Bhattacharyya 2:30PM Domain Adaptation via Identical Distribution Across Models and Tasks Xuhong Wei, Yefei Chen and Jianbo Su 2:50PM A Pointer Network Based Deep Learning Algorithm for the Max-cut Problem Shenshen Gu and Yue Yang

SunAA5 Pattern Recognition 3, Chairs: Yang Xu and Nikita Gordienko, Room: Nakry

1:30PM Cross-Subject Emotion Recognition Using Domain Adaptation Networks He Li, Yi-Ming Jin, Wei-Long Zheng and Bao-Liang Lu 1:50PM Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti Nikita Gordienko, Gang Peng, Yuri Gordienko, Wei Zeng, Oleg Alienin, Oleksandr Rokovyi and Sergii Stirenko 2:10PM Supervised Two-Dimensional CCA for Multiview Data Representation Yun-Hao Yuan, Hui Zhang, Yun Li, Jipeng Qiang and Wenyan Bao 2:30PM Graph Matching based on Fast Normalized Cut Yang Jing, Yang Xu, Zhou Zhangbing and Liu Zhiyong 2:50PM Improving Off-line Handwritten Chinese Character Recognition with Semantic Information Hongjian Zhan, Shujing Lyu and Yue Lu 3:10PM Mongolian Word Segmentation Based on Three Character Level Seq2Seq Models Na Liu, Xiangdong Su, Guanglai Gao and Feilong Bao

SunAA6 Transfer Learning, Chairs: Jie Lu and V. Susheela Devi, Room: Romchong

1:30PM Transfer Learning using Progressive Neural Networks and NMT for classification tasks in NLP Devanapalli Shankar and V. Susheela Devi 1:50PM Semi-Supervised Transfer Metric Learning with Relative Constraints Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew and Prateek Bangwal 2:10PM Fuzzy Domain Adaptation Using Unlabeled Target Data Hua Zuo, Guangquan Zhang and Jie Lu 2:30PM Privacy-preserving k-means clustering upon negative databases

Xiaoyi Hu, Liping Lu, Dongdong Zhao, Jianwen Xiang, Xing Liu, Haiying Zhou, Shengwu Xiong and Jing Tian

Sunday, December 16, 4:00PM-6:00PM

SunAB1 Robotics and Control 4, Chairs: Bo Zhao and Yiming Wu, Room: Romdul

4:00PM Local Tracking Control for Unknown Interconnected Systems via Neuro-dynamic Programming Bo Zhao, Derong Liu, Mingming Ha, Ding Wang, Yancai Xu and Qinglai Wei 4:20PM Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization Problems Lingmei Huang, Youshen Xia and Songchuan Zhang 4:40PM Interactive Incremental Online Learning of Objects Onboard of a Cooperative Autonomous Mobile Robot Stephan Hasler, Jennifer Kreger and Ute Bauer-Wersing 5:00PM Resilient Consensus for Multi-agent Networks with Mobile Detectors Haofeng Yan, Yiming Wu, Ming Xu, Ting Wu, Jian Xu and Tong Qiao 5:20PM Dynamics Based Fuzzy Adaptive Impedance Control for a Lower Limb Rehabilitation Robot Xu Liang, Weiqun Wang, Zengguang Hou, Zihao Xu, Shixin Ren, Jiaxing Wang and Liang Peng

SunAB2 Detection 4, Chairs: Dan Popescu and Yangyang Hao, Room: Yihub

4:00PM Complex Conditional Generative Adversarial Nets for Multiple Objectives Detection in Aerial Images Dan Popescu, Loretta Ichim and Andrei Docea 4:20PM Facial landmark detection under Large Pose Yangyang Hao, Hengliang Zhu, Zhiwen Shao, Xin Tan and Lizhuang Ma 4:40PM Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors Petru Soviany and Radu Tudor Ionescu 5:00PM Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes Zeyu Mi, Lin Shang and Bing Xue 5:20PM Remote Sensing Image Segmentation by Combining Feature enhanced with Fully Convolutional Network Ruiguo Yu, Xuzhou Fu, Jiang Han, Chenhan Wang, Xuewei Li, Mankun Zhao, Xiang Ying and Hongqian Shen

SunAB3 Image and Signal Processing 4, Chairs: Minho Lee and Ping Guo, Room: Champei

4:00PM MSCE: An Edge-preserving Robust Loss Function for Improving Super-resolution Algorithms

Ram Krishna Pandey, Nabagata Saha, Samarjit Karmakar and A.G. Ramakrishnan 4:20PM Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders Xiaodan Deng, Sibo Feng, Ping Guo and Qian Yin 4:40PM TiedGAN: Multi-Domain Image Transformation Networks Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Jonghong Kim and Minho Lee 5:00PM Image Denoising using a Deep Encoder-Decoder Network with Skip Connections Rapha¨el Couturier, Gilles Perrot and Michel Salomon

SunAB5 Word, Text and Document Processing, Chairs: Heng-Yang Lu and Weiyu Jiang, Room: Nakry 4:00PM Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery Heng-Yang Lu, Yun Li, Chi Tang, Chong-Jun Wang and Jun-Yuan Xie 4:20PM Text Classification Based on Word2vec and Convolutional Neural Network Lin Li and Guocai Yang 4:40PM CNN-Based Chinese Character Recognition with Skeleton Feature Wei Tang, Yijun Su, Xiang Li, Daren Zha, Weiyu Jiang, Neng Gao and Ji Xiang 5:00PM W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks Haochuan Jiang, Guanyu Yang, Kaizhu Huang and Rui Zhang 5:20PM A NEW LSTM Network Model Combining TextCNN Xiao Sun, Xiaohu Ma, Zhiwen Ni and Lina Bian

SunAB6 Clustering, Chairs: Mashaan Alshammari and Wenming Cao, Room: Romchong

4:00PM Approximate Spectral Clustering using Topology Preserving Methods and Local Scaling Mashaan Alshammari and Masahiro Takatsuka 4:20PM Discovering Similarities in Malware Behaviors by Clustering of API Call Sequences Fatima Al Shamsi, Wei Lee Woon and Zeyar Aung 4:40PM Towards a Compact and Effective Representation for Datasets with Inhomogeneous Clusters Haimei Zhao, Zhuo Chen, Qiuhui Tong and Bo Yuan 5:00PM Efficient Direct Structured Subspace Clustering Wenming Cao, Rui Li, Sheng Qian, Si Wu and Hau-San Wong 5:20PM Self-Paced Multi-Task Multi-View Capped-norm Clustering Yazhou Ren, Xin Yan, Zechuan Hu and Zenglin Xu

- Adjournment -