publication

Keynote Speakers

Title: Learning Deep Second-order Visual Representations via Symmetric Positive Definite Matrices
Speaker: Prof. Lei Wang

University of Wollongong, Australia

IEEE senior member

Lei Wang received the B.Eng and M.Eng from Southeast University, China in 1996 and 1999, respectively, and the PhD degree from School of EEE in Nanyang Technological University, Singapore in 2004. He is now a professor of School of Computing and Information Technology at University of Wollongong. He leads the group VILA (Visual Information Learning and Analysis) and is a member of Centre for Artificial Intelligence in UOW. His research interest lies in machine learning, pattern recognition and computer vision. For machine learning and pattern recognition, he is interested in supervised learning, Lei Wang has published over 200 peer-reviewed papers, including those in highly regarded journals and conferences such as IEEE TPAMI, IJCV, CVPR, ICCV and ECCV, etc. He was awarded the Early Career Researcher Award by Australian Academy of Science and Australian Research Council. He served as Program Co-Chair of ACCV 2022, Senior Area Chair of NeurIPS 2024 and ACMMM 2024, and Area Chair of NeurIPS 2023, CVPR 2024-25, and ICLR 2024-25. Lei Wang is a senior member of IEEE.

Title: Query optimization engine for graph databases
Speaker: Prof. Lei Zou

Peking University

Lei Zou, Professor of Wangxuan Institute of Computer Science, Peking University, doctoral advisor; winner of the National Excellent Youth in 2016; the project hosted in 2014 won the second prize of the Natural Science of China Computer Society (ranked first). He is the director of the Knowledge Integration and Intelligent Decision Center of the National Engineering Laboratory for Big Data Analysis and Application Technology (Peking University). His current research areas include graph algorithm optimization and graph computing acceleration, graph database systems, knowledge graph systems, knowledge graph-oriented natural language question answering system construction, and knowledge graph construction methods research. At present, he has published more than 50 international top journals/conference papers in the CCF-A database field.

Title: Decoding Urban Rhythms: Generative AI Techniques for Geospatial Applications
Speaker: Dr. Shanshan Feng

Institute of High Performance Computing, A*STAR, Singapore

Dr. Shanshan Feng received his Ph.D. degree from Nanyang Technological University, Singapore, in 2017, and his B.E. degree from the University of Science and Technology of China in 2011. He is currently a Senior Scientist at the Centre for Frontier AI Research, Institute of High Performance Computing, The Agency for Science, Technology and Research (A*STAR), Singapore. His research interests include big data analytics, spatial-temporal data mining, social graph learning, and recommender systems. Dr. Feng has authored over 60 publications in prestigious journals and conferences, such as IEEE TPAMI, IEEE TKDE, IEEE TNNLS, IEEE TGRS, SIGKDD, SIGIR, ICDE, and VLDB. He has also served as a Program Committee (PC) member for leading conferences, including SIGKDD, SIGIR, ICDE, ACM MM, NeurIPS, AAAI, and IJCAI etc.

Title: Sustainable human-AI interaction: Case study of AI-driven virtual co-pilots in aviation
Speaker: Dr. Fan Li

Hong Kong Polytechnic University

Dr. Fan Li is an Assistant Professor in the Department of Aeronautical and Aviation Engineering (AAE) at The Hong Kong Polytechnic University. She obtained her bachelor's degree from Beihang University and her Ph.D. from Nanyang Technological University in Singapore. She has worked as a postdoctoral researcher at the Fraunhofer Institute in Singapore and the Air Traffic Management Research Institute at Nanyang Technological University. Her primary research areas include human-AI teaming, human-AI interaction design, and cognitive ergonomics. Dr. Li has led projects such as the Hong Kong Early Career Scheme, Young Scientists Fund of the National Natural Science Foundation of China, and the Smart Traffic Fund, with total research funding exceeding 10 million HKD. She has published over 40 papers in internationally renowned journals, including Advanced Engineering Informatics, Technological Forecasting and Social Change, Knowledge-Based Systems, and Analytic Methods in Accident Research, with more than 1,000 citations in total. In 2019, she received the Women@Engineering Award from Nanyang Technological University. She has been invited to serve as a guest editor and reviewer for several well-known journals, such as Advanced Engineering Informatics, Journal of Industrial Information Integration, and Behavior Research Methods.

Title: Novel multi-view data clustering algorithm
Speaker: Prof. Xinwang Liu

National University of Defense Technology

Professor of the School of Computer Science, National University of Defense Technology, doctoral supervisor, recipient of National Outstanding Youth Award and Excellent Youth Award. His main research interests include machine learning and data mining. In the past five years, he has published more than 80 papers as the first or corresponding author in CCF A-level top journals and conferences, including 10 IEEE TPAMI papers. He has 12 ESI highly cited papers. His work has been cited more than 14,000 times on Google Scholar, and he was selected as one of the top 2% scientists worldwide in 2022. He serves as an AE for journals such as IEEE TNNLS, IEEE TCYB, Information Fusion, and as a senior program committee member/field chair for top conferences such as ICML and NeurIPS. Some of his research achievements have twice won the first prize of Hunan Provincial Natural Science Award (2/6, 6/6).

Title: Digital Detection Technology for Deepfake
Speaker: Prof. Zhangjie Fu

Nanjing University of Information Science and Technology

Professor of School of Computer Science (School of Cyberspace Security), Nanjing University of Information Science and Technology, his main research interests are data security, digital forensics, etc. In recent years, he has presided over 4 national projects; He has presided over more than 10 provincial and ministerial projects of the Outstanding Youth Fund of Jiangsu Province; He has published more than 40 papers as the first author in top journals and conferences at home and abroad. Invited to give special reports at several domestic and international conferences; Served as the chairman of the conference and the chairman of the procedure committee of the 2020 China Password Application Summit Forum and other domestic and international conferences; Served as deputy chief editor and editorial board member of several international and domestic journals; He served as the executive director of China Cyberspace Emerging Technology Security Innovation Forum, the executive director of Jiangsu Cryptography Society, and the director of Jiangsu Computer Society. His research achievements won the first prize of Jiangsu Science and Technology (basic category) in 2019.

Title: Privacy Risks and Defense Technologies for Large Language Models(LLM)
Speaker: Prof. Zhiping Cai

National University of Defense Technology

Professor of the School of Computer Science, National University of Defense Technology, doctoral supervisor, deputy director of the Theoretical Computer Science Special Committee of the Chinese Computer Society. He has been engaged in basic research and large-scale engineering projects in the fields of network security, big data analysis, machine learning, etc. for a long time. As the project leader, he presided over more than 10 scientific research works such as the National Natural Science Foundation of China and the national defense pre research. More than 120 papers have been published in international top journals and conferences such as Infocom, AAAI, ToN, etc., and have been cited for more than 8000 times. He has 14 ESI highly cited papers, and has won the "Best Paper Award" of international conferences for 5 times, and has authorized 13 national invention patents. He has won the "First Prize of Natural Science in Hunan Province" (the first winner), "Second Prize of Scientific and Technological Progress in Hainan Province", the second prize of national teaching achievement, the first prize of military teaching achievement, the first prize of teaching achievement in Hunan Province and the military scientific and technological progress award, and other teaching and research awards, and the title of "Leading Talents in Science and Technology Innovation in Hunan Province".

Title: Knowledge driven deep learning
Speaker: Dr. Nan Yin

Hong Kong University of Science and Technology

Postdoctoral researcher of the Hong Kong University of Science and Technology. He receives his bachelor's, master's, and doctoral degree from the National University of Defense Technology. His research interests include machine learning, graph neural networks, and related fields. In recent years, He has published more than 20 high-quality papers and served as a reviewer for top international artificial intelligence conferences such as AAAI, NeurIPS, ICML, and ACMMM, as well as for several internationally renowned journals in the fields of artificial intelligence and data mining, including TCSVT, TOMM, and TCSS.