About
Dr. Zhiwu Huang is 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.
Accepting applications from PhD students.
Dr. Zhiwu Huang is 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.
Dr. Zhiwu Huang's primary research is dedicated to advancing computer vision and machine learning within the context of artificial general intelligence. The overarching goal is to make machine learning (deep learning) models more capable and controllable to understand the physical world. To this end, he is interested in exploring machine learning methodologies, including generative modeling, continual learning, and affective computing.
COMP6252: Deep Learning Technologies
COMP6237: Data Mining
COMP6200: MSc Project
COMP3200: Part III Individual Project
ELEC1028: Personal Tutorial
IS424: Data Mining and Business Analytics, SMU Singapore
IS483: IS Application Project, SMU Singapore
Dr. 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 computer vision and 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 make machine learning (deep learning) models more capable and controllable to understand the physical world.
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.