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Resume (English only)
Academic Achievements
- Multiple papers accepted at top-tier conferences including NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, COLT, and CoLLAs
- 2025: 7 NeurIPS, 3 ICML, 4 ICLR, 1 ACL, 1 EMNLP, 1 CVPR
- 2024: 5 NeurIPS, 4 ICML, 3 ICLR, 1 COLT, 1 CoLLAs; one paper on faster diffusion inference won Best Paper Award (oral) at ICML SPIGM workshop
- 2023: 1 COLT (implicit bias of batch normalization), 1 ICLR (generalization gap between Adam and GD), served as Area Chair for NeurIPS 2023
- 2022: 2 NeurIPS papers (on multi-pass SGD generalization and pretraining-finetuning limits in linear regression with distribution shift)
Background
- Assistant Professor, Department of Computer Science, The University of Hong Kong
- Affiliated with the School of Computing and Data Science and The HKU Musketeers Foundation Institute of Data Science
- Research interests include machine learning, stochastic optimization, and graph learning
- Special focus on theoretical/empirical understanding (or physics) of deep learning, especially foundation models
- Developing AI/ML methods for practical problems in signal processing, intelligent transportation, and mathematical problems
Co-authors: 0 (list not available)