2025.10: Selected as NeurIPS 2025 Top Reviewer (10%).
2025.05: Collaborated benchmark library “RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark” accepted by KDD 2025 (Oral).
2024.10: Selected as NeurIPS 2024 Top Reviewer (10%) for both main and DB track.
2024.09: First-authored paper “Learning to Handle Complex Constraints for Vehicle Routing Problems” accepted by NeurIPS 2024.
2022.09: First-authored paper “Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation” accepted by NeurIPS 2022.
2025.04: Passed Ph.D. Qualifying Examination.
Research Experience
2025.11: Conducting a research exchange at MIT, supervised by Prof. Cathy Wu.
2025.09: Gave a talk on “Constraint Handling in Learning-to-optimize: Progress and Future” at LEAD 2025, Online.
2025.05: Gave a talk on “Neural Combinatorial Optimization: Challenges and Applications” at MINIEYE, Online.
2024.01: Started the Ph.D. journey at CCDS, NTU.
2020.09: Started the M.Eng. journey at SYSU, majoring in Software Engineering.
Background
Research interests: Intersection of Machine Learning (ML) and Optimization, aiming to develop automated ML solutions to address complex optimization problems and decision-making challenges. Recently, working on advancing neural combinatorial optimization solvers, especially for vehicle routing problems.