Yaochu Jin (IEEE Fellow)

Westlake University, China

 

 

 

Yaochu Jin is Chair Professor of AI, Director of the Trustworthy and General AI Lab, Head of Artificial Intelligence Department, School of Engineering, Westlake University, Hangzhou, China. Prior to that, he was Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, with the Faculty of Technology, Bielefeld University, Germany from 2021 to 2023, and Surrey Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. from 2010 to 2021. He was also “Finland Distinguished Professor” with University of Jyväskylä, Finland, and “Changjiang Distinguished Visiting Professor” with the Northeastern University, China from 2015 to 2017. His main research interests include intelligent optimization of complex systems, trustworthy AI, brain-like computing, and brain-like embodied AI.
Prof Jin was the President of the IEEE Computational Intelligence Society and the Editor-in-Chief of the IEEE Transactions on Cognitive and Developmental Systems. He is the recipient of the 2025 IEEE Frank Rosenblatt Award. He is a Member of Academia Europaea and Fellow of IEEE.

金耀初,1966年生,江苏吴江人,欧洲科学院院士、国际电气和电子工程师协会会士(IEEE Fellow)。曾任芬兰科学院与芬兰国家创新局“芬兰杰出教授”、德国联邦教育与研究部“洪堡人工智能教席教授”。分别于1988年、1991年、1996年获浙江大学工学学士、工学硕士、和工学博士学位,并于2001年获德国波鸿鲁尔大学工学博士学位。1991年至1997年在浙江大学电机系任助教、讲师和副教授,1998年至1999年在美国新泽西州立大学工业工程系从事博士后研究, 2001年至2010年在德国本田(欧洲)研究院任资深科学家、主任科学家, 2010年加入英国萨里大学计算机系任计算智能讲席教授,2019年升任“萨里杰出教授”, 2021至2023年担任德国比勒菲尔德大学工学院洪堡人工智能教席教授。曾任《IEEE认知与发育系统汇刊》主编,现任IEEE计算智能学会主席。2023年10月全职加入西湖大学工学院,受聘人工智能讲席教授,并创立“可信与通用人工智能实验室“。

Speech Title: From brain-like computing to brain-like embodied intelligence

Abstract: This talk begins with an introduction to information process in the human brain and the evolution of neural self-organization in nature. This is followed by an overview of research efforts that endevour to understand principles behind biological neural self-orgainzation in computational systems, including the coupling between the evolution and development of the nervous systems and body plan. Then, recent advances in constructing large spiking neural networks are presented, paying special attention to brain-inspiked models simulating different cognitive pathways in the brain. This talk is concluded by dicussing the need to move towards embodied brain-like computing systems to enable them to autonomously learn, develop and evolve.

     
     
     

 

Lap-Pui Chau (IEEE Fellow)
The Hong Kong Polytechnic University, Hong Kong, China

Lap-Pui Chau received a Ph.D. degree from The Hong Kong Polytechnic University in 1997. He is currently a Professor and Global STEM Scholar (under the Global STEM Professorship Scheme) and Director of JC STEM Lab of Machine Learning and Computer Vision in the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University. He was with the School of Electrical and Electronic Engineering, Nanyang Technological University from 1997 to 2022. His current research interests include large language model, perception for autonomous driving, egocentric computer vision, and embodied artificial intelligence. He is an IEEE Fellow.

Chau Lap-Pui,IEEE Fellow(电⽓与电⼦⼯程师学会会⼠),⾹港理⼯⼤学电机⼯程学系教授(Professor),⾹港特区政府 Global STEM Professorship 计划「Global STEM Scholar」⼊选者。周教授于曾⻓期任职于新加坡南洋理⼯⼤学电机与电⼦⼯程学院。其主要研究成果发表于计算机视觉(CV), 机器学习(ML)等顶会顶刊(如 T-PAMI, T-IP,CVPR, ICCV,ECCV, NeurIPS, ICLR 等)

     

 

Boxin Shi, Peking University, China

Boxin Shi is currently a Boya Young Fellow Associate Professor (with tenure) and Research Professor at Peking University, where he leads the Camera Intelligence Lab (https://camera.pku.edu.cn). He received the PhD degree from the University of Tokyo and did postdoc research at MIT Media Lab. His research interests are computational photography, computer vision, and generative AI. He has published 37 papers in TPAMI and 125 papers in CVPR/ICCV/ECCV. His papers were awarded as Best Paper, Runners-Up at CVPR'24/ICCP'15 and selected as Best Paper, Candidate at CVPR'26/3DV'26/ICCV'15. He has received the Okawa Foundation Research Grant (2021) and IJCV Outstanding Editorial Board Members Award (2025). He serves as associate editors of TAPMI/IJCV and (lead) area chairs of CVPR/ICCV/ECCV.

Speech Title: Event-based Photometric Imaging

Abstract: Compared with conventional frame-based cameras, the neuromorphic vision sensor, such as the event camera and the spike camera have unique advantages, especially in their ability to perceive high-speed moving objects and scenes with high dynamic range. Existing research has actively demonstrated the advantages of event cameras in computer vision tasks such as image deblurring, high dynamic range imaging, and high-speed object detection and recognition. However, the photometric image formation model of event cameras has not been carefully analyzed. This talk will share a series of research progress on modeling and analyzing the photometric image formation model of an event camera that records and responses to high-speed radiance changes, for achieving real-time photometric stereo, normal and reflectance estimation, hyperspectral imaging, light transport analysis, and so on.