Zhiguang Cao
- Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
- Large Language Models as End-to-end Combinatorial Optimization Solvers
- Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
- Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
- Probing Neural Combinatorial Optimization Models
- UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems