Hong Kong University of Science and Technology, Hongkong, China

James Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He is an IEEE Fellow.

Prof Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology and is now a Professor in the Department of Computer Science and Engineering. He is serving / served as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neurocomputing, Artificial Intelligence Journal, International Journal of Data Science and Analytics, and on the Editorial Board of Machine Learning. He is also serving as Senior Area Chairs of major machine learning / AI conferences including NeurIPS, ICML, ICLR, IJCAI, and as Area Chairs of conferences including AAAI and ECML. He is on the IJCAI Board of Trustees. He is recognized as the Most Influential Scholar Award Honorable Mention for "outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009 and 2019". Prof Kwok is the IJCAI-2025 Program Chair.

University of Reading, UK

Dr Hong Wei received her first and master’s degree both from Tianjin University, China, and then her PhD degree from Birmingham University, UK. Dr Wei is currently an associate professor in the Department of Computer Science, University of Reading, UK. Her research interests span broad aspects of computer vision and its applications. She has contributed to numerous high-impact research initiatives, supported by the UK EPSRC, Innovate UK (KTP), and the European Commission, with projects focusing on criminal events detection for surveillance, optical character recognition, and biometric identification for automated border control. She has been supervising PhD students in computer vision and pattern classification. Dr Wei is the author or co-author of over 100 peer-reviewed papers and three textbooks. Her current research focuses on computer vision applications in remote sensing data interpretation and AI-generated image analysis for environmental monitoring. She also maintains a research interest in medical image understanding. She is actively engaged in the international computer vision community. Her service includes roles as a former associate editor for Imaging and Vision Computing, a program committee member for major conferences, and a peer reviewer for leading computer vision and image analysis conferences and journals.

Prof. Limei Song
Tiangong University, China

Limei Song is a Level 2 Professor and PhD Supervisor at Tiangong University, China. As a first level talent of Tianjin "131" Talent Program, she heads the Tianjin Municipal University Innovation Team on Modern Textile Testing and Control Technology, and has received honors including the National Woman Pacesetter for Meritorious Achievement. Her research interests mainly lie in optical 3D measurement, machine vision, intelligent non destructive detection and industrial intelligent inspection. She devotes to developing high precision visual sensing algorithms and system solutions for complex manufacturing and textile industry scenarios, bridging fundamental theories and real world engineering deployment.
She currently serves as Deputy Director of the Faculty of Information Technology and Executive Vice Dean of the School of Control Science and Engineering, Tiangong University. She has presided over and completed more than 30 national, provincial/ministerial and industrial cooperation projects, published over 100 academic papers and 5 textbooks & monographs, and holds over 20 granted invention patents. Her achievements have earned her 3 second prizes and 2 third prizes of the Tianjin Science and Technology Progress Award, 1 third prize of the Henan Provincial Science and Technology Progress Award, as well as one National Bronze Award each in the Innovation Track and Entrepreneurship Track of the National Postdoctoral Innovation and Entrepreneurship Competition.