Prof. Mingfa Yao

Tianjing University, China

Mingfa Yao, Chair Professor and Doctoral Supervisor at the School of Mechanical Engineering, Tianjin University, National High-Level Talent, Fellow of SAE (International Society of Automotive Engineers), Fellow of International Combustion Institute, Fellow of Chinese Society for Internal Combustion Engines. His research interests include high-efficiency clean combustion theory for internal combustion engines, homogeneous charge compression ignition low-temperature combustion technology, alternative fuel combustion technology, and hydrogen and hydrogen-based fuel energy storage. He has published over 140 SCI-indexed academic papers, with more than 13,000 SCI citations, and has been granted 5 international invention patents and over 20 Chinese invention patents. He has received one Second-Class National Technological Invention Award and one Second-Class National Science and Technology Progress Award. He has led more than 60 projects, including key programs of the National Key R&D Plan and major research programs of the National Natural Science Foundation of China.

Prof. Weidong Min

Nanchang University, China

Professor WeidongMin is a tenured (Level II) professor at the School of Mathematics and Computer Science, Nanchang University, and national-level talent. He previously served as Dean of the School of Software at Nanchang University and currentlythe Dean of the Metaverse Research Institute at the university,and the Director of the Jiangxi Provincial Key Laboratory of Virtual Reality, and holds the position of Vice Chairman of the Jiangxi Provincial Digital Economy Society. Professor Min earned his B.E., M.E., and Ph.D. degrees in computer science from Tsinghua University. He is a standing director of the China Society of Image and Graphics and is widely recognized as a leading scholar in artificial intelligence, computer vision, virtual reality, embodied intelligence, and human-robot collaboration. He serves on dozens of national-level expert panels and frequently acts as a reviewer for national research funding agencies and talent selection committees. Prior to his current appointment, Professor Min spent 18 years in research and management roles at the University of Alberta in Canada and at several prominent multinational computer technology firms, with professional experience in four of the world's foremost technology hubs. Upon returning to China in 2015, he established both the Metaverse Research Institute at Nanchang University and the Jiangxi Provincial Key Laboratory of Virtual Reality. He hasbeen in charge ofmore than 20 research initiatives, including seven funded at the national level. His publication record includes over 200 papers in leading journals such as IEEE and ACM Transactions. He has received four provincial- and ministerial-level science and technology awards and holds more than 40 authorized invention patents as primary inventor. The practical application and technology transfer of his work have generated notable commercial value.

Prof. Zhijun Fang

Fudan University, China

Zhijun Fang, Professor and Doctoral Supervisor. He is the Director of Research Center for Industrial Intelligence at Fudan University, Vice Chairman of the National Alliance for Artificial Intelligence and Big Data Innovation in Higher Education, and Deputy Director of the Shanghai Representative Office of the China Computer Federation (CCF). He has been selected as a national-level talent, a National Young and Middleaged Expert with Outstanding Contributions, and a recipient of the Special Government Allowance of the State Council. His research fields include artificial intelligence, data analysis, and intelligent manufacturing. He has led major projects such as the Ministry of Science and Technology’s “Science and Technology Innovation 2030 - New Generation Artificial Intelligence” major project, the Joint Fund Key Projects of the National Natural Science Foundation of China (NSFC), and the General Projects of the NSFC. He has published nearly 100 papers in academic journals such as IEEE TIP and IEEE TSMC. He has received five science and technology achievement awards at the provincial/ministerial level or above and three teaching achievement awards.

Prof. Philippe Fournier-Viger

Shenzhen University, China

Philippe Fournier-Viger (Ph.D.) is a Distinguished Professor at Shenzhen University, China. After completing his Ph.D., he joined China in 2015, where he became a full professor after receiving a national talent award. His research focuses on data mining algorithms for complex data, including sequential, graph, and high-dimensional data, with applications in artificial intelligence, cybersecurity, bioinformatics, and intelligent systems. He has published more than 400 peer-reviewed research papers that have received over 19,000 citations (Google Scholar, H-index 66). He is the founder of the widely used SPMF open-source data mining library, which implements more than 300 pattern mining algorithms and has been cited in over 1,100 scientific publications. He is a former Associate Editor-in-Chief of Applied Intelligence, has delivered more than 60 keynote speeches at international conferences, and has co-edited four books published by Springer. He is ranked among the top 0.3% of researchers worldwide for scientific influence according to the Stanford University ranking, received the Most Influential Paper Award at PAKDD 2024, has won seven Best Paper Awards, and has been recognized as an Elsevier Highly Cited Chinese Researcher.

Speech Title: Advances and Challenges in Pattern Mining for Artificial Intelligence and Public Safety

Prof. Duoqian Miao

Tongji University, China

Duoqian Miao, PhD, is a Fellow of the Chinese Association for Artificial Intelligence (CAAI). He is currently a Level-2 Professor and Doctoral Supervisor at the School of Computer Science, Tongji University, and Deputy Director of the Key Laboratory of Embedded Systems and Service Computing of the Ministry of Education. He has been consistently ranked among the top 2% of scientists globally and on the list of lifetime scientific influence rankings. His main research areas include artificial intelligence, machine learning, big data analysis, multimodal large models, and granular computing. He has led and completed over 30 national and provincial-level research projects, including National Natural Science Foundation of China projects, National Key Research and Development Program projects, and major research projects of the Ministry of Public Security. He has published over 200 academic papers in top domestic and international journals and conferences, including 8 ESI-indexed papers; he has edited over 10 books on granular computing and holds over 30 authorized patents. He has received 6 provincial and ministerial-level research awards, including the Second Prize of Shanghai Natural Science Award (2024), the Second Prize of Wu Wenjun Artificial Intelligence Natural Science Award of the Chinese Association for Artificial Intelligence (2018), and the First Prize of Chongqing Natural Science Award (2010). As the second author, he has received two Second Prizes of National Teaching Achievement Awards (2023, 2010). Received the 2010 Ministry of Education-IBM China Outstanding Teacher Award and the 2011 Baosteel Outstanding Teacher Award.

Prof. Lin Mei

Donghai Laboratory, China

Lin Mei, Principal Investigator at Donghai Laboratory, Chair Professor of the "Huashan Scholar" Program and Doctoral Supervisor at Xidian University. He is a member of the Intelligent Gaming and Wargaming Technical Committee of the Chinese Institute of Command and Control, a member of Pattern Recognition and Machine Intelligence Technical Committee of the Chinese Association of Automation, and a member of Computer Vision Technical Committee of the China Computer Federation. In 2015, he was rated as an Outstanding Technical Leader of Shanghai by Shanghai Municipal Science and Technology Commission. His research areas include computer vision, artificial intelligence, public security informatization, and marine intelligent perception. He has led more than 10 projects, including those under National Science and Technology Support Program,863 Program, and Key R&D Program of the Ministry of Science and Technology; the Core Electronic Devices, High-End General-Purpose Chips and Basic Software Products (Nuclear High-Base) Major Project of the Ministry of Industry and Information Technology; the Innovation Action Plan of the Shanghai Municipal Science and Technology Commission; the Key Projects of the Ministry of Public Security; and the Zhejiang Provincial "Sharp Vanguard, Leading Goose + X" Special Projects.

Prof. Weide Liu

Jiangxi University of Finance and Economics, China

Dr. Weide Liu is a Professor at Jiangxi University of Finance and Economics. He previously conducted research at Nanyang Technological University, the Agency for Science, Technology and Research (A*STAR) in Singapore, and Harvard Medical School in the United States. His research interests include computer vision, medical image analysis, trustworthy AI and causal inference, and multimodal and time-series modeling. He has published more than 60 papers in leading international conferences and journals, including CVPR, ICML, ICCV, ECCV, IJCV, IEEE TIP, IEEE TMI, and ACM Computing Surveys. He serves as an Associate Editor of the Journal of Visual Communication and Image Representation (JVCIR) and as an Area Chair for BMVC, AAAI, ICIP, and ICME. He received the Best Paper Award at ICAIS & ISAS 2026.

Prof. Youhong Song

Jiangxi Agricultural University, China

Youhong Song, Ph.D., Professor and Doctoral Supervisor at Jiangxi Agricultural University, and Adjoint Chief Research Scientist at the University of Queensland, Australia. He is a recipient of the Innovative Leading Talent under Jiangxi Provincial "Double‑Thousand Talent Program". His long‑term research interests cover crop modelling, crop phenomics and smart agriculture. He serves as Vice‑Chair of the Smart Ecology Committee of the Chinese Association of Automation. He was the General Chair of the international conference "Crop/Plant Models, Big Data and Application" in 2025. He acts as Associate Editor for Crop & Pasture Science and Editorial Board Member for npj Sustainable Agriculture. He has published more than 60 high‑level papers in journals including Nature Communications, New Phytologist, Plant Phenomics, Field Crops Research, Crop Journal, European Journal of Agronomy and Journal of Experimental Botany. He holds 6 authorized national invention patents and has formulated 2 local technical specifications.

Prof. Lu Leng

Nanchang Hangkong University, China

Prof. Lu Leng is a professor, 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".