Scholar
Fengxiang He
Google Scholar ID: QSx-Yu0AAAAJ
University of Edinburgh
Citations & Impact
Citations
3,017
H-index
25
i10-index
39
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Area Chair of ICML, NeurIPS, UAI, AISTATS, ECAI, and ACML, and Associate Editor of IEEE Transactions on Technology and Society. Published multiple papers including 'The Current State of AI Bias Bounties: An Overview of Existing Programmes and Research', 'Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations', 'DICE: Data Influence Cascade in Decentralized Learning', and more.
Research Experience
- Former Founding Lead of the Trustworthy AI project at JD.com, Inc.
Education
- Received BSc in Statistics from the University of Science and Technology of China; MPhil and PhD in Computer Science from the University of Sydney.
Background
- Lecturer at the Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh, leading the Edinburgh Ventures for Intelligence and Economics. Also a Fellow of Edinburgh's Generative AI Laboratory, and an Affiliate of the Institute for Adaptive and Neural Computation, Edinburgh Future Institute, and the Edinburgh Centre for Financial Innovations. Research interests include trustworthy AI, deep learning theory, decentralized learning, privacy and fairness in machine learning, symmetry in machine learning, algorithmic game theory, and their applications in economics and finance.
Miscellany
- Visitors are welcome to contact with CVs, transcripts, or any proud works.
Co-authors