Peking University

Yonghong Tian (S’00-M’06-SM’10-F’22) is currently a Boya Distinguished Professor, Peking University, China. He is as both the Director of Guangdong Provincial Key Laboratory of AI for Science and Beijing Key Laboratory of Brain-inspired Spiking Large Models. Currently, he also serves as the Vice Chancellor of Shenzhen Graduate School and the Executive Dean of School of AI for Science, Peking University, China, and the Deputy Director of Intelligence Supercomputing Division, PengCheng Laboratory, Shenzhen, China. His research interests include neuromorphic computing, distributed machine learning and AI for Science. He is the author or co-author of over 400 technical articles in refereed journals and conferences such as Nature Machine Intelligence, Nature Computational Science, Nature Communications, Science Advances, IEEE TPAMI, IJCV, ICML, NeuIPS, etc. Prof. Tian was a Senior Associate Editor of IEEE TCSVT (2024.1-now), IEEE TMM (2014.8-2018.8), IEEE Multimedia Mag. (2018.1-2022.8). He co-initiated IEEE Int’l Conf. on Multimedia Big Data (BigMM), and served as the TPC Member of more than ten conferences such as CVPR, ICCV, ACM KDD, AAAI, ACM MM and ECCV. He was the recipient of the Chinese National Science Foundation for Distinguished Young Scholars in 2018 and 2024, two National Science and Technology Awards and five ministerial-level awards in China, the 2022 IEEE SA Standards Medallion and SA Emerging Technology Award, and the 2025 IEEE Hans Karlsson Award. He is a Fellow of IEEE, a senior member of CIE and CCF, a member of ACM.

Prof. Dong Xu

University of Hong Kong

Dong Xu received the B.Eng. and PhD degrees from University of Science and Technology of China (USTC), in 2001 and 2005, respectively. While pursuing the PhD degree, he worked at Microsoft Research Asia as an intern and The Chinese University of Hong Kong as a research assistant for more than two years. He also worked as a postdoctoral research scientist at Columbia University, a tenure-track and tenured faculty member at Nanyang Technological University, and Chair in Computer Engineering at The University of Sydney.His current research interests include computer vision, multimedia, and machine learning. His group has developed new machine learning methods and intelligent systems for a broad range of vision and multimedia related applications such as autonomous driving, AR/VR, video compression and surveillance, as well as medical image analysis. He has published more than 150 papers in IEEE Transactions and leading conferences including CVPR, ICCV, ECCV, ICML, ACM MM and MICCAI. His co-authored works (with his former PhD students) received the Best Student Paper Award in CVPR 2010 and the IEEE Transactions on Multimedia Prize Paper Award in 2014. He is/was on the editorial boards of ACM Computing Surveys, IEEE Transactions including T-PAMI, T-IP, T-NNLS, T-CSVT and T-MM, and other five journals, and served as a guest editor of more than ten special issues in multiple journals (e.g., IJCV, IEEE/ACM Transactions). He will serve/served as the Program Coordinator of ACM Multimedia 2024, a steering committee member of ICME (2016-2017) and a Program Co-chair of five international conferences/workshops (e.g., ACM Multimedia Asia 2021, MLSP 2021 and ICME 2014). He was also involved in the organization committees of many international conferences and served as an area chair of leading conferences such as ICCV, CVPR, ECCV, ACM MM and AAAI. He received the Best Associate Editor Award of T-CSVT in 2017. He is a Foreign Member of the Academia Europaea and a Fellow of the IEEE and IAPR.