Zhiwu Huang

I am a Lecturer (Assistant Professor) affiliated with the Vision, Learning, and Control (VLC) group in the School of Electronics and Computer Science (ECS) at the University of Southampton. My primary research is dedicated to advancing generative computer vision and continual machine learning within the context of artificial general intelligence. The overarching goal is to equip machines with a wide range of digital intelligences, encompassing rational, emotional, and imaginal aspects, in order to amplify and enhance biological intelligences. At present, I am particularly interested in exploring machine learning methodologies, including generative modeling, continual learning, and affective computing, to drive forward these research objectives.

I am looking for motivated and talented researchers/students to join our research group. Please have a look at the Openings and reach me if you are interested.

Short Bio...

Zhiwu Huang is a Lecturer (Assistant Professor) in the School of Electronics and Computer Science at the University of Southampton, where he has been serving since January 2023. Prior to joining Southampton, he held the position of Postdoctoral/Guest Researcher at ETH Zurich from September 2015 to July 2021. Following that, he served as an Assistant Professor of Computer Science at Singapore Management University from September 2021 to December 2022. Dr. Huang obtained his Ph.D. degree from the University of Chinese Academy of Sciences in 2015.

Dr. Huang's primary research revolves around generative computer vision and continual machine learning for artificial general intelligence. He focuses on exploring cutting-edge machine learning methodologies, including generative modeling, continual learning, and affective computing. His ultimate research objective is to empower machines with a comprehensive range of intelligences, spanning rational, emotional, and imaginal aspects.

Dr. Huang also actively serves as either a reviewer or a meta-reviewer for major conferences and journals in the fields of computer vision, machine learning, and artificial intelligence. In addition, he has taken a role in organizing multiple workshops in conjunction with prestigious conferences such as CVPR, ICCV, and ECCV.