- Two papers accepted for publication at AAAI 2026
- HPR-LP: An implementation of an HPR method for solving linear programming accepted for publication at Mathematical Programming Computation
- A Survey on Large Language Model-based Agents for Statistics and Data Science accepted for publication at The American Statistician
- Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees accepted for publication at Journal of Machine Learning Research
- LAMBDA: A Large Model Based Data Agent accepted for publication at Journal of the American Statistical Association
- HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems accepted for publication at IEEE Transactions on Pattern Analysis and Machine Intelligence
- Projects:
- Open-source solvers HPR-LP and HPR-QP available on GitHub
Research Experience
- Assistant Professor, Department of Applied Mathematics, The Hong Kong Polytechnic University (2024.07 – 2025.02)
- Research Fellow, NExT Research Center, School of Computing, National University of Singapore
Education
- Ph.D. in Mathematics, National University of Singapore, 2020, Supervisor: Prof. Kim-Chuan TOH
- Supervised by Prof. Defeng SUN from 2015 to 2018 at National University of Singapore
- Bachelor's degree in Computational Mathematics, University of Science and Technology of China (USTC), 2015, Supervisor: Prof. Juyong ZHANG
Background
Research Interests: Optimization, High Performance Computing, Statistics
Field: Applied Mathematics
Introduction: Assistant Professor in the Department of Applied Mathematics at The Hong Kong Polytechnic University, Assistant Director of the Research Center for Intelligent Operations Research, and Associate Director (Research and Development Management) of the CITIC-PolyU Interdisciplinary Mathematical Digital AI Joint Laboratory (AIJLab). Previously, he was a research fellow at the NExT Research Center, School of Computing, National University of Singapore.
Miscellany
Openings: Looking for highly self-motivated PhD students and postdoctoral fellows with backgrounds in foundation models/optimization/high performance computing/statistics to join the research group. Also looking for Research Engineers and Research Assistants with backgrounds in LLMs/Scientific Computing.