Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret. - Rui Sun; Zhi Zheng 009; Zhenkun Wang 001 (AAAI, 2024)

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. - Zhi Zheng 009; Shunyu Yao; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Ke Tang (ICML, 2024)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. - Zhi Zheng 009; Changliang Zhou; Xialiang Tong; Mingxuan Yuan; Zhenkun Wang 001 (NeurIPS, 2024)

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention. - Han Li; Fei Liu 044; Zhi Zheng 009; Yu Zhang 226; Zhenkun Wang 001 (CoRR, 2024)

Pareto Improver: Learning Improvement Heuristics for Multi-Objective Route Planning. - Zhi Zheng 009; Shunyu Yao; Genghui Li; Linxi Han; Zhenkun Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design. - Zhi Zheng 009; Zhuoliang Xie; Zhenkun Wang 001; Bryan Hooi (CoRR, 2025)

Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification. - Zhi Zheng 009; Wee Sun Lee (CoRR, 2025)

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees. - Fu Luo; Yaoxin Wu; Zhi Zheng 009; Zhenkun Wang 001 (CoRR, 2025)