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 (http://camera.pku.edu.cn). He is the Associate Director of the Institute of Visual Technology, School of CS, PKU. He is also a BAAI Scholar and Director of the PKU-AI2Robotics Joint Lab of Embodied AI. He received the PhD degree from the University of Tokyo and did postdoc research at MIT Media Lab. His research interests are computational photography and computer vision. His papers were awarded as Best Paper, Runners-Up at CVPR 2024/ICCP 2015, and selected as candidate for Best Paper at ICCV 2015. He received the Okawa Foundation Research Grant in 2021 and led a National Science and Technology Major Project as PI. He has served as associate editors of TAPMI/IJCV.

施柏鑫,北京大学研究员(长聘副教授、博导),计算机学院视频与视觉技术研究所副所长,“相机智能”实验室(http://camera.pku.edu.cn)负责人;北京智源学者;北大-智平方具身智能联合实验室主任。日本东京大学博士,麻省理工学院媒体实验室博士后。研究方向为计算摄像学与计算机视觉。论文获评CVPR 2024最佳论文亚军、ICCP 2015最佳论文亚军、ICCV2015最佳论文候选。获得日本大川研究助成奖(2021),牵头科技部新一代人工智能国家科技重大专项。担任TPAMI、IJCV编委。