NCAA 2021, 27-30 August 2021, Guangzhou, China
NCAA 2021
Programme
International Conference on Neural Computing for Advanced Applications 2021
27-30 August 2021 Guangzhou, China https://dl2link.com/ncaa2021/
Co-Organised by NCG (Nanfang CollegeGuangzhou, China) SCNU (South China Normal University) HITSZ (Harbin Institute of Technology, Shenzhen) CQU (Chongqing University) HFUT (Hefei University of Technology)
Sponsored by Shenzhen GLI Technology co., LTD Artificial Intelligence Institute, University of Jinan Guangzhou Duoyue Information Technology co., LTD
01 Messages from NCAA 2021 Chairs
02 Organization of NCAA 2021
03 Sponsors
04 Programme Overview
05 Programme in Detail 01 Messages from NCAA 2021 Chairs
Dear Guests and colleagues of the NCAA 2021,
Neural computing and artificial intelligence (AI) have become the hottest topics in recent years. To promote multi-disciplinary development and application of neural computing, a series of NCAA conferences was initiated on the theme of “making academic research more practical”, to provide an open platform for academic discussions, industrial showcases, and basic training tutorials. This event mainly contains the papers accepted at the 2021 International Conference on Neural Computing for Advanced Applications (NCAA 2021). NCAA 2021 is organized by Nanfang College Guangzhou, South China Normal University, Harbin Institute of Technology, Chongqing University, and Hefei University of Technology, and it was supported by Springer Nature Group. Due to the impact of COVID-19, the mainstream NCAA 2021 conference is turned into a hybrid event, with online and offline participants, in which people could freely connect to a live broadcast of the keynote speeches and presentations.
NCAA 2021 collates 54 high-quality papers that were selected for publication from among 144 submissions after double-blinded peer-review, which indicates that the acceptance rate of NCAA 2021 was less than 40%. These papers were categorized into 10 technical tracks: neural network theory and cognitive sciences; machine learning, data mining, data security and privacy protection, and data-driven applications; computational intelligence, nature-inspired optimizers, and their engineering applications; cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization; control systems, network synchronization, system integration, and industrial artificial intelligence; fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences; computer vision, image processing, and their industrial applications; natural language processing, machine translation, knowledge graphs, and their applications; neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling; and spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).
The authors of each paper in this event have reported their novel results of computing theory or application. These results cannot cover all aspects of neural computing and advanced applications, but we hope it will inspire insightful thoughts for readers and researchers. We continue to wish that more secrets of AI will be unveiled, and that academic research will find more practical applications. Many people contributed to making the conference possible and successful. Firstly, we thank all the authors who have considered NCAA 2021 for their submissions. We also thank the PC members for their evaluations that made possible the selection of the accepted papers. At last, we wish everyone stay healthy and safe.
Yours sincerely, Prof. Haijun Zhang, Prof. Zhi Yang, Prof. Zhao Zhang, Prof. Zhou Wu, and Prof. Tianyong Hao
General Co-Chairs of NCAA 2021 Organization of NCAA 2021 02
NCAA 2021 Honorary Chairs:
1、 John MacIntyre, University of Sunderland, UK
2、 Tommy W. S. Chow, City University of Hong Kong, HK
NCAA3、 2021 General Co-Chairs:
1、 Haijun Zhang, Harbin Institute of Technology, China 2、 Zhi Yang, Nanfang CollegeGuangzhou, China 3、 Zhao Zhang, Hefei University of Technology, China 4、 Zhou Wu, Chongqing University, China 5、 Tianyong Hao, South China Normal University, China NCAA 2021 Programme Co-Chairs:
1、 Kai Liu, Chongqing University, China 2、 Yu Wang, Xi’an Jiaotong University, China 3、 Weiwei Wu, Southeast University, China 4、 Reza Maleklan, Malmö University, Sweden 5、 Yimin Yang, Lakehead University, Canada
NCAA 2021 Organizing Committee Co-Chairs:
1、 Choujun Zhan, Nanfang CollegeGuangzhou, China 2、 Mingbo Zhao, Donghua University, China 3、 Shi Cheng, Shaanxi Normal University, China 4、 Zhen Luo, Chongqing University of Posts and Telecommunications, China Organization of NCAA 2021 02
Local Arrangement Co-Chairs：
Likeng Liang, South China Normal University, China
Guo Luo, Nanfang College Guangzhou, China PSES President: Registration Co-Chairs：
Jing Zhu, Macau University of Science and Technology, China Bing Li, Wuhan University of Technology, China Shuqiang Wang, Chinese Academy of Sciences, China Publication Co-Chairs：
Jingjing Cao, Wuhan University of Technology, China
Cuili Yang, Beijing University of Technology, China PSES VP Qiang Jia, Jiangsu University, China Conferences: Publicity Co-Chairs：
Liang Feng, Chongqing University, China
Xiangping Zhai, Nanjing University of Aeronautics and Astronautics, China Xianghua Chu, Shenzhen University, China Penglin Dai, Southwest Jiaotong University, China Jianghong Ma, City University of Hong Kong Dong Yang, University of California, Merced, USA Sponsor Co-Chairs：
Wangpeng He, Xidian University, China Bingyi Liu, Wuhan University of Technology, China NCAA Steering Committee Liaison：
Xiaoying Zhong, Harbin Institute of Technology, China
Web Chair: Ziliang Yin, Harbin Institute of Technology, China
02 Organization of NCAA 2021
Track Co-Chairs：
Track 5: Control systems, network synchronization, system integration, and industrial
artificial intelligence Chengqing Li, Hunan University, China
Qiang Jia, Jiangsu University, China
Yongji Wang, Huazhong University of Science and Technology, China Ning Sun, Nankai University, China
Wenkai Hu, China University of Geosciences, China
Track 6: Fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences
Zhigang Zeng, Huazhong University of Science and Technology, China
Dongrui Wu, Huazhong University of Science and Technology, China Zhaohong Deng, Jiangnan University, China
Liang Bai, Shanxi University, China
Jingjing Cao, Wuhan University of Technology, China Xin Zhang, Tianjin Normal University, China
Track 7: Computer vision, image processing, and their industrial applications
Zhong Ji, Tianjin University, China Bineng Zhong, Huaqiao University, China
Jiayi Ma, Wuhan University, China
Xiangyuan Lan, Hong Kong Baptist University, Hong Kong SAR Mingbo Zhao, Donghua University, China
Track 8: Natural language processing, machine translation, knowledge graphs, and
their applications Lap-Kei Lee, The Open University of Hong Kong, Hong Kong SAR
Haitao Wang, China National Institute of Standardization, China
Tianyong Hao, South China Normal University, China Xiaolei Lu, City University of Hong Kong, Hong Kong SAR Organization of NCAA 2021 02
Track Co-Chairs：
Track 9: Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modelingC
Yu Wang, Xi’an Jiaotong University, China
BinQiang Chen, Xiamen University, China Wangpeng He, Xidian University, China
Yizhen Peng, Chongqing University, China
Track 10: Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19)
Choujun Zhan, South China Normal University, China
Mengying Zhao, Shandong University, China Yanyan Shen, Chinese Academy of Sciences, China
Dong Yang, University of California at Merced, China
Sponsors 03
Diamond Sponsors (钻石赞助)
深圳果力智能科技有限公司
Gold Sponsors (金牌赞助)
济南大学人工智能研究院
广州掇月信息科技有限公司
04 Programme Overview
Tentative Rundown on 28 August 2020 (Saturday)
Time Event Duration 9:00-9:20 Opening Speech 20mins 9:20-9:30 Conference Introduction 10mins 9:30-9:40 Group Photo 10mins 9:40-10:25 Keynote speech 1: Pinning Control and Robust 45mins Controllability of Complex Networks --- A Machine Learning Approach – By Prof. Guanrong Chen 10:25-10:30 Q&A of Keynote speech 1 5mins 10:30-10:50 Coffee Break 20mins 10:50-11:35 Keynote speech 2: Neural Computing and Logical 45mins Computing: Explainable AI or TRUE DAO Intelligence? – By Prof. Fei-Yue Wang 11:35-11:40 Q&A of Keynote speech 2 5mins 12:00-14:00 Lunch Break 14:00-17:45 Session 1: PPT Report 15mins per author 14:00-17:15 Session 2: PPT Report 15mins per author 18:30-20:30 Dinner Time and Reward Session END
Programme Overview 04
Tentative Rundown on 29 August 2020 (Sunday) Time Event Duration 9:00-9:45 Keynote speech 1: Re-expressing Vision: Translating 45mins Image and Video into Language – By Prof. Hanli Wang 9:45-9:50 Q&A of Keynote speech 1 5mins 9:50-10:35 Keynote speech 2: Vision-Based Perception and 45mins Learning for Intelligent Systems – By Dr. Guanghui (Richard) Wang 10:35-10:40 Q&A of Keynote speech 2 5mins 10:40-10:55 Coffee Break 15mins 10:55-11:40 Keynote speech 3: Academic book publishing and 45mins conference proceedings publishing – By Ms. Jian (Jane) Li 11:40-11:45 Q&A of Keynote speech 3 5mins 11:45-12:00 Sponsors Introduction 15mins 12:00-14:00 Lunch Break 14:00-17:15 Session 1: PPT Report 15mins per author 14:00-17:15 Session 2: PPT Report 15mins per author 17:30-18:00 Closing Ceremony 30mins END
Programme in Detail 0 5
Date & Time: August 28th (Saturday), 9:00-11:40 Venue: Music House, Nanfang CollegeGuangzhou, Guangzhou Host: Prof. Tianyong Hao
1. Opening Speech from Vice President of Nanfang CollegeGuangzhou
2. Opening Speech from General Chair of NCAA 2021
3. Conference Introduction from Prof. Kai Liu, Chongqing University, China
Keynote Speech
Host: Prof. Zhou Wu
4. Keynote speech: Pinning Control and Robust Controllability of Complex Networks --- A Machine Learning Approach Prof. Guanrong Chen, City University of Hong Kong, HK SAR Time: 9:40-10:30
5. Keynote speech: Neural Computing and Logical Computing: Explainable AI or TRUE DAO Intelligence? Prof. Fei-Yue Wang, Chinese Academy of Sciences (CAS), Beijing, China Time: 10:50-11:40
Session 1
Date & Time: August 28th (Saturday), 14:00-17:45 Venue: M2 Medium Conference Hall, Wanggu Hot Spring Resort, No.9 Wenquan West Road, Conghua District, Guangzhou Chair: Dr. Yu Wang, Dr. Bingyi Liu, Dr. Likeng Liang
Machine learning, data mining, data security & privacy protection, and data-driven applications 1. (14:00-14:15) A Computational Model Based on Neural Network of Visual Cortex with Conceptors for Image Classification Xiumin Li, Jie Yu and Wenqiang Xu 2. (14:15-14:30) Smoothed Multi-View Subspace Clustering Chen Peng, Liang Liu, Zhengrui Ma and Zhao Kang 3. (14:30-14:45) Sample reduction using 퓻ퟏ-norm twin bounded support vector machine Xiaohan Zheng, Li Zhang and Leilei Yan 4. (14:45-15:00) Spreading dynamics analysis for railway networks Xingtang Wu, Mingkun Yang, Hongwei Wang, Hairong Dong, Jinhu Lv and Haifeng Song 5. (15:00-15:15) Learning to collocate fashion items from heterogeneous network using structural and textual features Qiong Yu, Wenjian Xu, Yingji Wu and Haijun Zhang 6. (15:15-15:30) Building Energy Performance Certificate Labelling Classification based on Explainable Artificial Intelligence Thamsanqa Tsoka, Xianming Ye, Yangquan Chen, Dunwei Gong and Xiaohua Xia 7. (15:30-15:45) Cross Languages One-Versus-All Speech Emotion Classifier Xiangrui Liu, Junchi Bin and Huakang Li 8. (15:45-16:00) A Hybrid Machine Learning Approach for Customer Loyalty Prediction Hiu Fai Lee and Dr Ming Jiang 9. (16:00-16:15) Examining and Predicting Teacher Professional Development by Machine Learning methods Xin Zhang and Yueyuan Kang 10. (16:15-16:30) LDA-enhanced Federated Learning for Image Classification with Missing Modality Xiaoyan Sun and Xinhao Wang
11. (16:30-16:45) A Data Enhancement Method for Gene Expression Profile Based on Improved WGAN-GP Shaojun Zhu and Fei Han Control systems, network synchronization, system integration, and industrial artificial intelligence 12. (16:45-17:00) Linear time-varying model predictive control for trajectory-tracking of a wheeled mobile robot Juntao Wei and Bing Zhu 13. (17:00-17:15) A Traffic Light Control System based on Reinforcement Learning and Adaptive Timing Pengchun Wu, Bin Song, Xinhai Chen and Bingyi Liu Fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences 14. (17:15-17:30) Active Learning Method Based on Axiomatic Fuzzy Sets and Cost-sensitive Classification Yifei Liu, Jiayi Guo, Shufan Li and Lidong Wang 15. (17:30-17:45) An Extended TODIM Method Based on Interval- Valued Pythagorean Hesitant Fuzzy Sets and Its Utilization in Green Shipping Xueqin Liu, Junzhong Bao, Yanli Meng and Lidong Wang
Session 2
Date & Time: August 28th (Saturday), 14:00-17:15 Venue: M3 Small Conference Hall, Wanggu Hot Spring Resort, No.9 Wenquan West Road, Conghua District, Guangzhou Chair: Prof. Mingbo Zhao, Dr. Jicong Fan, Dr. Jingjing Cao
Computer vision, image processing, and their industrial applications 1. (14:00-14:15) A Transformer-based Decoupled Attention Network for Text Recognition in Shopping Receipt Images Lang Ren, Haibin Zhou, Jiaqi Chen, Lujiao Shao, Yingji Wu and Haijun Zhang 2. (14:15-14:30) Interactive Clothes Image Retrieval via Multi- modal feature fusion of Image Representation and Natural Language Feedback Xianrui Li, Yu Rong, Mingbo Zhao and Jicong Fan 3. (14:30-14:45) An Ultra-High Speed Gesture Recognition Algorithm Based on MobileNetV2 Wangpeng He, Nannan Liao, Wei Liu, Cheng Li and Baolong Guo 4. (14:45-15:00) An Hybrid Model CMR-Color of Automatic Color Matching Prediction For Textiles Dyeing and Printing Musen Chen, Hubert S. Tsang, Kang T. Tsang and Tianyong Hao 5. (15:00-15:15) Obstacle Avoidance Algorithm for Mobile Robot Based on ROS and Machine Vision Yong Li and Yuzhe Liu 6. (15:15-15:30) A new total variation denoising algorithm for piecewise constant signals based on non-convex penalty Donghao Lv, Weihua Cao, Wenkai Hu and Min Wu 7. (15:30-15:45) Superpixel Segmentation via Contour Optimized Non-Iterative Clustering Jianglei Gong, Nannan Liao, Cheng Li, Wangpeng He and Baolong Guo 8. (15:45-16:00) Semantic Segmentation via Efficient Attention Augmented Convolutional Networks Jingjing Cao, Zhengfei Liao and Qiangwei Zhao
9. (16:00-16:15) Cervical Spondylotic Myelopathy Segmentation using Shape-aware U-net Zhuo Chen, Yong Hu, Huiyu Zhou, Shuqiang Wang and Yanyan Shen Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19) 10. (16:15-16:30) Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration Choujun Zhan, Wei Jiang, Qiaoling Zhen, Haoran Hu and Wei Yuan 11. (16:30-16:45) A novel approach to ship operational risk analysis based on D-S evidence theory Tao Liu, Yuanzi Zhou, Junzhong Bao, Xizhao Wang and Pengfei Zhang 12. (16:45-17:00) Short-term Building Load Forecast Based on Patch Learning with Long Short-term Memory Network and Support Vector Regression Zhaohui Dan, Bo Wang, Huijin Fan and Lei Liu 13. (17:00-17:15) Empirical Mode Decomposition Based Deep Neural Networks for AQI Forecasting Wei Jiang, Yuxia Fu, Fabing Lin, Jing Liu and Choujun Zhan
Keynote Speech
Date & Time: August 29th (Sunday), 9:00-12:00 Venue: M2 Medium Conference Hall, Wanggu Hot Spring Resort, No.9 Wenquan West Road, Conghua District, Guangzhou Host: Prof. Zhao Zhang
1. Keynote speech: Re-expressing Vision: Translating Image and Video into Language Prof. Hanli Wang, Tongji University Time: 9:00-9:50
2. Keynote speech: Vision-Based Perception and Learning for Intelligent Systems Dr. Guanghui (Richard) Wang, University of Ryerson Time: 9:50-10:40 3. Keynote speech: Academic book publishing and conference proceedings publishing Ms. Jian (Jane) Li, Springer Nature Group Time: 10:55-11:45
4. Sponsors introduction Shenzhen GLI Technology co., LTD Artificial Intelligence Institute, University of Jinan Guangzhou Duoyue Information Technology co., LTD Time: 11:45-12:00
Session 1
Date & Time: August 29th (Sunday), 14:00-17:15 Venue: M2 Medium Conference Hall, Wanggu Hot Spring Resort, No.9 Wenquan West Road, Conghua District, Guangzhou Chair: Prof. Weiwei Wu, Prof. Shuqiang Wang, Dr. Yaqing Hou Neural network theory, cognitive sciences, neuro-system hardware implementations, and NN-based engineering applications 1. (14:00-14:15) An Optimization Method to Boost the Resilience of Power Networks with High Penetration of Renewable Energies Bingchun Mu, Xi Zhang, Xuefei Mao and Zhen Li 2. (14:15-14:30) Systematic Analysis of Joint Entity and Relation Extraction Models in Identifying Overlapping Relations Yuchen Luo, Zhenjie Huang, Kai Zheng and Tianyong Hao 3. (14:30-14:45) Abnormality Detection and Identification Algorithm for High-speed Freight Train Body Tongcai Liu, Qing Liu and Zhiwei Wan 4. (14:45-15:00) Pheromone Based Independent Reinforcement Learning for Multiagent Navigation Kaige Zhang, Yaqing Hou, Hua Yu, Wenxuan Zhu, Liang Feng and Qiang Zhang 5. (15:00-15:15) A Deep Q-Learning Network based Reinforcement Strategy for Smart City Taxi Cruising Zhenyao Hua, Dongyang Li and Weian Guo 6. (15:15-15:30) Weighted Average Consensus in Networks of Dynamic Agents with Time-varying Delay Li Xiang and Jing Zhu 7. (15:30-15:45) An improved echo state network model for spatial-temporal energy consumption prediction in public buildings Yuyang Sun, Zhou Wu, Ruiqi Jiang and Ji Xu 8. (15:45-16:00) Modeling Data Center Networks with Message Passing Neural Network and Multi-task Learning Kai Zhang, Xueyong Xu, Chenchen Fu, Xiumin Wang and Weiwei Wu
Computational intelligence, nature-inspired optimizers, and their engineering applications （Part 1） 9. (16:00-16:15) An improved cluster load balancing scheduling algorithm Wei Fu and Xunhang Cui 10. (16:15-16:30) An improved cloud particles optimizer for function optimization Wei Li, Haonan Luo, Junqing Yuan, Zhou Lei and Lei Wang 11. (16:30-16:45) Resource Allocation and Trajectory Optimization for UAV assisted Mobile Edge Computing Systems with Energy Harvesting Hao Wang, Yanyan Shen, Shan Wu and Shuqiang Wang 12. (16:45-17:00) Meta-feature Extraction for Multi-objective Optimization Problems Xianghua Chu, Jiayun Wang, Shuxiang Li, Linya Huang, Qiu He, Guodan Bao and Wei Zhao 13. (17:00-17:15) Feed Formula Optimization Based on Improved Tabu Search Algorithm Xuecong Zhang, Haolang Shen and Zujian Wu
Session 2
Date & Time: August 29th (Sunday), 14:00-17:15 Venue: M3 Small Conference Hall, Wanggu Hot Spring Resort, No.9 Wenquan West Road, Conghua District, Guangzhou Chair: Prof. Kai Liu, Prof. Shi Cheng, Dr. Xiangping Zhai
Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling 1. (14:00-14:15) A Hybrid Approach to Risk Analysis for Critical Failures of Machinery Spaces on Unmanned Ships by Fuzzy AHP Junzhong Bao, Zhijie Bian, Zixuan Yu, Thammawan Phanphichit, Guoyou Wang and Yuanzi Zhou 2. (14:15-14:30) A New Health Indicator Construction Approach and Its Application in Remaining Useful Life Prediction of Bearings Huiming Jiang, Jinhai Luo, Yunfei Shao, Qianxi Ma and Honghai Pan 3. (14:30-14:45) An Improved Reinforcement Learning for Security-Constrained Economic Dispatch of Battery Energy Storage in Microgrids Zhongyi Zha, Bo Wang, Huijin Fan and Lei Liu 4. (14:45-15:00) Self-Supervised Learning Advance Fault Diagnosis of rotating machinery Baoming Zhang, Yongfang Mao, Xin Chen, Yi Chai and Zhenli Yang 5. (15:00-15:15) A Method for Imbalanced Fault Diagnosis Based on Self-Attention Generative Adversarial Network Xin Chen, Yongfang Mao, Baoming Zhang, Yi Chai and Zhenli Yang 6. (15:15-15:30) Self-supervised contrastive representation learning for machinery fault diagnosis Yadong Wei, Xiaoman Cai, Jianyu Long, Zhe Yang and Chuan Li 7. (15:30-15:45) SGWnet: An interpretable convolutional neural network for mechanical fault intelligent diagnosis Shuwei Cao, Jing Yuan, Gangxing Ren, Huiming Jiang and Qian Zhao
8. (15:45-16:00) GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection Yanchao Zhang, Xiangdong Li, Jingbo Qiu, Xiangping Zhai and Mingqiang Wei
Cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization 9. (16:00-16:15) An Efficient CSI-based Pedestrian Monitoring Approach via Single Pair of WiFi Transceivers Jialai Liu, Kai Liu, Feiyu Jin, Dong Wang, Guozhi Yan and Ke Xiao 10. (16:15-16:30) Optimal Path Planning for Unmanned Vehicles Using Improved Ant Colony Optimization Algorithm Hongchang Deng and Jing Zhu Computational intelligence, nature-inspired optimizers, and their engineering applications （Part 2） 11. (16:30-16:45) Adaptive Methods of Differential Evolution Multi-objective Optimization Algorithm Based on Decomposition Kun Bian, Yifei Sun, Shi Cheng, Zhuo Liu and Xin Sun 12. (16:45-17:00) Population diversity guided dimension perturbation for artificial bee colony algorithm Tao Zeng, Tingyu Ye, Luqi Zhang, Minyang Xu, Hui Wang and Min Hu 13. (17:00-17:15) Artificial bee colony algorithm with an adaptive search manner Tingyu Ye, Tao Zeng, Luqi Zhang, Minyang Xu, Hui Wang and Min Hu
Date & Time: August 29th (Sunday), 17:30-18:00 Venue: Riverside Chinese Restaurant, Wanggu Hot Spring Resort, No.9 Wenquan West Road, Conghua District, Guangzhou Summary Speech from Prof. Haijun Zhang, General Chair of NCAA 2021
NCAA 2021
International Conference on Neural Computing for Advanced Applications
Thank You!
Thank you for attending the NCAA 2021！