Bo Han is currently an Assistant Professor in Machine Learning and a Director of
Trustworthy Machine Learning and Reasoning Group at
Hong Kong Baptist University, and a BAIHO Visiting Scientist of
Imperfect Information Learning Team at
RIKEN Center for Advanced Intelligence Project (RIKEN AIP), hosted by Prof.
Masashi Sugiyama, where his research focuses on machine learning, deep learning, foundation models, and their applications. He was a Visiting Research Scholar at
MBZUAI MLD (2024), hosted by Prof.
Kun Zhang, a Visiting Faculty Researcher at
Microsoft Research (2022) and
Alibaba DAMO Academy (2021), and a Postdoc Fellow at
RIKEN AIP (2019-2020), working with Prof.
Masashi Sugiyama. He received his Ph.D. degree in Computer Science from
University of Technology Sydney (2015-2019), primarily advised by Prof.
Ivor W. Tsang. He has co-authored three machine learning monographs, including Machine Learning with Noisy Labels (
MIT Press), Trustworthy Machine Learning under Imperfect Data (
Springer Nature), and Trustworthy Machine Learning from Data to Models (
Foundations and Trends). He has served as Senior Area Chair of NeurIPS, and Area Chairs of NeurIPS, ICML and ICLR. He has also served as Associate Editors of IEEE TPAMI, MLJ and JAIR, and Editorial Board Members of JMLR and MLJ. He received paper awards, including Outstanding Paper Award at NeurIPS, Most Influential Paper at NeurIPS, and Outstanding Student Paper Award at NeurIPS Workshop, and service awards, including Notable Area Chair at NeurIPS, Outstanding Area Chair at ICLR, and Outstanding Associate Editor at IEEE TNNLS. He received the RGC Early CAREER Scheme, IEEE AI's 10 to Watch Award, IJCAI Early Career Spotlight, RIKEN BAIHO Award, Dean's Award for Outstanding Achievement, Microsoft Research StarTrack Scholars Program, and Faculty Research Awards from ByteDance, Baidu, Alibaba and Tencent.
HKBU Scholars
