| Prof. Xiaoping LiuCarleton University, Canada Title: Exploration of Several Key Issues in Haptic Interaction-Based Virtual Surgery Systems BIO: Prof. Xiaoping Liu received his B.Sc. and M.Sc. degrees from Northern Jiaotong University, China, in 1992 and 1995, respectively, and his Ph.D. degree from the University of Alberta, Canada. He has been with the Department of Systems and Computer Engineering, Carleton University, Canada, since 2002, where he is currently a Professor and the Canada Research Chair. He is a Fellow of the Canadian Academy of Engineering and a Fellow of the Engineering Institute of Canada, and an IEEE Fellow. He has published over 400 SCI journal papers and 150 conference papers. He has been selected as a Clarivate Highly Cited Researcher and listed in Stanford University's World's Top 2% Scientists. He serves as Editor-in-Chief of the SCI journal International Journal of Robotics and Automation, and as the founding Chair of the IEEE Systems, Man, and Cybernetics Society Technical Committee on Interactive and Wearable Computing and Devices. He also serves on the editorial boards of five IEEE journals. |
| Prof. Caifeng ShanNanjing University, China Title: Generative AI: Current State and Trends BIO: Prof. Caifeng Shan is a full professor with Nanjing University, China. He currently serves as the Vice Dean of the School of Intelligence Science and Technology, Nanjing University. He was previously a Senior Scientist and Project Leader with Philips Research, Eindhoven, The Netherlands. He was also a part-time researcher at Eindhoven University of Technology. He received the B.Eng. degree from the University of Science and Technology of China, the M.Eng. degree from the Institute of Automation, Chinese Academy of Sciences, and the Ph.D. degree from Queen Mary, University of London. His research interests include computer vision, pattern recognition, medical image analysis, and related applications. He has authored more than 250 scientific papers and 100 patents (with over 10,000 Google Scholar citations). He was the recipient of the Invention Award of Royal Philips, and listed in the World's Top 2% Scientists. He has served as Associate Editor for journals including npj Digital Medicine, Pattern Recognition, IEEE Journal of Biomedical and Health Informatics, and IEEE Transactions on Circuits and Systems for Video Technology. |
| Prof. Hui YuanShandong University, China Title: Dual-Mode Feature Compression and Object Reconstruction for Cloud-Edge Multimodal 3D Object Detection BIO: Hui Yuan is a Ph.D., Full Professor, and Ph.D. Supervisor at Shandong University. He is an IET Fellow, IEEE Senior Member, and Senior Member of CSIG (China Society of Image and Graphics), CIC (China Institute of Communications), and CIE (Chinese Institute of Electronics). His research focuses on visual media, particularly high-efficiency compression, intelligent processing, and reliable transmission control for 3D visual media. He received his B.S. and Ph.D. degrees from Xidian University in June 2006 and March 2011, respectively. He joined Shandong University in April 2011, serving successively as Lecturer/Postdoctoral Researcher, Associate Professor, and Full Professor (early promotion, September 2016-present). He has been selected for the Hong Kong Scholars Program by the Ministry of Human Resources and Social Security of China, the EU Marie Skłodowska-Curie Individual Fellowship, and the "Taishan Scholars" Program of Shandong Province (both Youth Expert and Distinguished Expert). He is also a recipient of the National Natural Science Foundation of China (NSFC) Excellent Young Scientists Fund and the Shandong Provincial Natural Science Fund for Distinguished Young Scholars. Prof. Yuan has published over 200 research papers and submitted 70 proposals to ISO/IEC JTC1 (MPEG), 7 of which have been adopted into the MPEG G-PCC international standard. He has won the Second Prize of the Shandong Provincial Natural Science Award, the Second Prize of the CSIG Natural Science Award, and the China Industry-University-Research Cooperation Innovation Award. He serves as an Associate Editor/Editorial Board Member for several journals, including IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, IEEE Transactions on Consumer Electronics, and IET Image Processing. He has also served as an Area Chair for international conferences such as IEEE ICME. |
| Prof. Chang TangHuazhong University of Science and Technology, China Title: Intelligent Analysis Methods for Spatial Transcriptomics Data BIO: Prof. Tang received his Ph.D. degree from Tianjin University, Tianjin, China in 2016. He joined the AMRL Lab of the University of Wollongong between Sep. 2014 and Sep. 2015. He is now a full Professor at the School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China. He previously worked at the School of Computer Science, China University of Geosciences, Wuhan, China, between Mar. 2017 and Feb. 2025. Dr. Tang has published 100+ peer-reviewed papers, including those in highly regarded journals and conferences such as IEEE T-PAMI, IEEE T-MM, IEEE T-KDE, IEEE T-GRS, IEEE T-HMS, ICCV, CVPR, IJCAI, AAAI and ACM MM, etc. He serves as an associate editor of Neural Networks, IEEE Journal of Biomedical and Health Informatics, CAAI Transactions on Intelligence Technology, and BMC Bioinformatics. He regularly serves as Technical Program Committees or as Area Chair of some top conferences such as NIPS, ICML, CVPR, ICCV, ECCV, IJCAI, ICME and AAAI. He won the best paper award of the 5th Asian Conference on Artificial Intelligence Technology. His current research interests include machine learning and pattern recognition. |
| Prof. Wenying WenJiangxi University of Finance and Economics, China Title: Towards the Protection Mechanism for the Unification of Image Desensitization and Provenance Authentication BIO: Prof. Wen has been selected as a Young Talent of the Jiangxi Provincial Training Program for Academic and Technical Leaders in Major Disciplines and a Young Talent of the Jiangxi Provincial "Double Thousand Plan". Her research mainly focuses on multimedia information security and image privacy protection. Since 2013, she has published more than 100 papers and led three National Natural Science Foundation of China projects and more than ten provincial or ministerial research projects. She has published one sole-authored academic monograph and participated in one major project under the Science and Technology Innovation 2030 "New Generation Artificial Intelligence" program. She has obtained 15 authorized national invention patents as the first inventor. |
| Prof. Lu LengNanchang Hangkong University, China Title: Potential Security Threats to Biometric Systems BIO: Prof. Leng is a professor and doctoral supervisor at School of Software, Nanchang Hangkong University, and serves as the Director of the Institute of Computer Vision. He has published over 150 academic papers, including more than 90 indexed in SCI. He has led six national-level research projects and serves as a reviewer for over 100 international SCI journals. His research interests include computer vision, biometric template protection, biometric recognition, medical image processing, and information hiding. He has been selected for the World's Top 2% Scientists list four times, and received the Jiangxi Youth May Fourth Medal. He has been honored as an Outstanding Representative of "Innovation Pioneers" among enterprises in Jiangxi Province under the "Innovation China" Program, and honored to be included in "Jiangxi Hundred-Thousand-Ten Thousand Talent Project" and "Jiangxi Yuanhang Project". |
