Prof. David Zhang

IEEE Life Fellow and IAPR/AAIA Fellow

Chinese University of Hong Kong (Shenzhen), China

David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in both Computer Science from the Harbin Institute of Technology (HIT). From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. He has been a Chair Professor at the Hong Kong Polytechnic University where he is the Founding Director of Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government since 2005. Currently, he is a Distinguished Presidential Chair Professor in Chinese University of Hong Kong (Shenzhen). He also serves as Visiting Chair Professor in Tsinghua University and HIT, and Adjunct Professor in Shanghai Jiao Tong University, Peking University, National University of Defense Technology and the University of Waterloo.

Title: Generalized perception + intelligent analysis: advanced biometric recognition systems

Abstract: The market for artificial intelligence (AI) technologies is flourishing. As one of the important AI technologies, biometrics has been an area of particular interest. It has let to the extensive study of biometrics technologies and the development of numerous algorithms, applications and systems, which could be defined as Advanced Biometrics. In fact, Perception and analysis are two complementary components in developing advanced biometric systems. This talk will focus on this new biometric research trend and build a closely related generalized perception + intelligent analysis application system. As typical examples, we will introduce two related practical systems, namely a high-precision and high-anti-counterfeiting palmprint identity authentication system, and a non-destructive and painless objective diagnosis system of the four diagnoses of traditional Chinese medicine (TCM), and list relevant research results to illustrate their effectiveness.

Prof. Guoyin Wang

President, Chongqing Normal University, China

Guoyin Wang received the B.S., M.S., and Ph.D. degrees from Xi’an Jiaotong University, Xian, China, in 1992, 1994, and 1996, respectively. He worked at the University of North Texas, and the University of Regina, Canada, as a visiting scholar during 1998-1999. He had worked at the Chongqing University of Posts and Telecommunications during 1996-2024, where he was a professor, the Vice-President of the University, the director of the Chongqing Key Laboratory of Computational Intelligence, the director of the Key Laboratory of Cyberspace Big Data Intelligent Security of the Ministry of Education, the director of Tourism Multi-source Data Perception and Decision Technology of the Ministry of Culture and Tourism, and the director of the Sichuan-Chongqing Joint Key Laboratory of Digital Economy Intelligence and Security. He was the director of the Institute of Electronic Information Technology, Chongqing Institute of Green and Intelligent Technology, CAS, China, 2011-2017. He has been serving as the President of Chongqing Normal University since June 2024. He is the author of over 10 books, the editor of dozens of proceedings of international and national conferences and has more than 300 reviewed research publications. His research interests include rough sets, granular computing, machine learning, knowledge technology, data mining, neural network, cognitive computing, etc. Dr. Wang was the President of International Rough Set Society (IRSS) 2014-2017, a Vice-President of the Chinese Association for Artificial Intelligence (CAAI) 2014-2025, and a council member of the China Computer Federation (CCF) 2008-2023. He is currently a Vice-President of the Chinese Society for Cognitive Science (CSCS), a Supervisor of  CAAI, and the President of Chongqing Association for Artificial Intelligence (CQAAI). He is a Fellow of IRSS, I2CICC, CAAI and CCF.

Title: Brain Cognition Inspired Artificial Intelligence

Abstract: Artificial intelligence (AI) has made breakthrough progress in surpassing some key human intelligence abilities such as visual intelligence, auditory intelligence, decision intelligence, and language intelligence in recent years. However, AI systems surpass certain human intelligence abilities in a statistical sense as a whole only. They are not true realization of these human intelligence abilities and behaviors. This talk reviews the role of cognitive science in inspiring the development of the three mainstream academic branches of AI based on Marr’s three-layer framework, explores and analyses the limitations of the current development of AI. Eight important future research directions and their scientific issues that need to be focused on in brain-inspired AI research are further discussed.

Prof. Huajin Tang

Zhejiang University, China

Prof. Huajin Tang received the B.Eng. degree from Zhejiang University, China in 1998, received the M.Eng. degree from Shanghai Jiao Tong University, China in 2001, and received the Ph.D. degree from the National University of Singapore, in 2005. He was an R&D engineer with STMicroelectronics, Singapore from 2004 to 2006. From 2006 to 2008, he was a PostDoctoral Fellow with the Queensland Brain Institute, University of Queensland, Australia. He was Head of the Robotic Cognition Lab at Institute for Infocomm Research, Singapore from 2008 to 2015. Since 2014 he is a Professor and Director of the Neuromorphic Computing Research Center, Sichuan University, China. He is currently a professor with Zhejiang University, China.

Prof. Tang is the EditorinChief of IEEE Transactions on Cognitive and Developmental Systems since 2022. Prof. Tang has served as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cognitive and Developmental Systems and Frontiers in Neuromorphic Engineering, Neural Networks, and Editorial Board Member for Frontiers in Robotics and AI. He was the Program Chair of IEEE CISRAM (2015, 2017), and Chair of IEEE Symposium on Neuromorphic Cognitive Computing (20162020), and International Symposium on Neural Networks (2019). He is a Board of Governor member of International Neural Network Society (20192024). He is the General CoChair of IEEE CISRAM 2024.

Prof. Jianru Xue

Xi'an Jiaotong University, China

Xue Jianru obtained his Ph.D. from Xi’an Jiaotong University in 2003. From 2002 to 2003, he conducted collaborative research at Fuji Xerox in Japan, and from 2008 to 2009, he was a visiting scholar at the University of California, Los Angeles. He is currently a professor and doctoral advisor at Xi’an Jiaotong University. His main research areas include computer vision and pattern recognition, machine learning, and autonomous intelligent systems. He has co-authored one English monograph and published over 100 papers in domestic and international journals and conference proceedings. He has received one Second Prize of the National Natural Science Award and one Second Prize of the National Invention Award. He has been selected as a leading talent in national technological innovation and an outstanding talent of the New Century Talent Program by the Ministry of Education. His accolades include the IEEE Intelligent Transportation Systems Society Outstanding Research Team Award, the Youth Scientist Award of the Chinese Association of Automation, the Shaanxi Youth Science and Technology Award, and the Shaanxi Youth Pacemaker Award. He serves as the Chair of the Hybrid Intelligence Committee of the Chinese Association of Automation, a council member of the China Society of Image and Graphics, and the Deputy Chair of the Visual Big Data Committee.