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Zhiguang Cao

45 papers at tracked venues · 34 at CORE A* · active 2024–2026

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Venues

NeurIPS ×9AAAI ×6ICLR ×6ICML ×5IJCAI ×5SIGKDD ×5AAMAS ×3GECCO ×2ACM MM ×1SIGIR ×1UAI ×1WWW ×1

Frequent coauthors

Suyu Liu
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Ni Zhang
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Peng Zhao
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Dian Meng
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Yuxin Pan
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Zeyuan Ma
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Jinbiao Chen
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Yong Liang Goh
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Jianan Zhou
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Cong Zhang
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Haoran Ye
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Jianghan Zhu
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Papers

  1. Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
    AAAI 2026 ·
    Jianghan Zhu
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  2. Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering
    AAAI 2026 ·
    Chen Wang
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  3. Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing
    AAAI 2026 ·
    Suyu Liu
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  4. A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
    ICML 2025 ·
    Suyu Liu
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  5. Adversarial Generative Flow Network for Solving Vehicle Routing Problems
    ICLR 2025 ·
    Ni Zhang
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  6. An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem
    SIGKDD 2025 ·
    Mingzhao Wang
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  7. ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
    AAAI 2025 ·
    Hongshu Guo
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  8. Coupling Category Alignment for Graph Domain Adaptation
    IJCAI 2025 ·
    Nan Yin
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  9. DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning
    IJCAI 2025 ·
    Yubin Xiao
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  10. Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
    SIGKDD 2025 ·
    Qi Li
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  11. Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning
    WWW 2025 ·
    Peng Zhao
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  12. DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
    AAAI 2025 ·
    Shipei Zhou
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  13. EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
    IJCAI 2025 ·
    Dian Meng
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  14. Enhancing Generalization in Large-Scale HCVRP: A Rank-Augmented Neural Solver
    SIGKDD 2025 ·
    Qidong Liu
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  15. Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL
    AAMAS 2025 ·
    Sheng Zang
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  16. Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
    ICLR 2025 ·
    Yifan Yang
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  17. Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
    AAMAS 2025 ·
    Yuxin Pan
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  18. Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
    NeurIPS 2025 ·
    Ni Zhang
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  19. LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization
    SIGIR 2025 ·
    Xiaoshan Yu
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  20. Large Language Models as End-to-end Combinatorial Optimization Solvers
    NeurIPS 2025 ·
    Xia Jiang
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  21. Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
    NeurIPS 2025 ·
    Jiaqi Wang
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  22. MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems
    GECCO 2025 ·
    Huigen Ye
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  23. Meta-Black-Box-Optimization through Offline Q-function Learning
    ICML 2025 ·
    Zeyuan Ma
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  24. Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
    NeurIPS 2025 ·
    Yuxin Pan
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  25. Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
    ICLR 2025 ·
    Jinbiao Chen
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  26. Preference-based Deep Reinforcement Learning for Historical Route Estimation
    IJCAI 2025 ·
    Boshen Pan
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  27. Probing Neural Combinatorial Optimization Models
    NeurIPS 2025 ·
    Zhiqin Zhang
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  28. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
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  29. Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
    ICLR 2025 ·
    Ziwei Huang
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  30. Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
    ICLR 2025 ·
    Jinbiao Chen
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  31. SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
    ICML 2025 ·
    Yong Liang Goh
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  32. Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
    GECCO 2025 ·
    Zeyuan Ma
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  33. UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
    NeurIPS 2025 ·
    Dian Meng
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  34. Visual-Enhanced Multimodal Framework for Flexible Job Shop Scheduling Problem
    ACM MM 2025 ·
    Peng Zhao
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  35. Adaptive Stabilization Based on Machine Learning for Column Generation
    ICML 2024 ·
    Yunzhuang Shen
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  36. Collaboration! Towards Robust Neural Methods for Routing Problems
    NeurIPS 2024 ·
    Jianan Zhou
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  37. Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems
    AAMAS 2024 ·
    Yaoxin Wu
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  38. Cross-Problem Learning for Solving Vehicle Routing Problems
    IJCAI 2024 ·
    Zhuoyi Lin
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  39. Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
    ICLR 2024 ·
    Cong Zhang
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  40. GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
    AAAI 2024 ·
    Haoran Ye
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  41. Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
    SIGKDD 2024 ·
    Yong Liang Goh
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  42. Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
    UAI 2024 ·
    Cong Zhang
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  43. Learning to Handle Complex Constraints for Vehicle Routing Problems
    NeurIPS 2024 ·
    Jieyi Bi
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  44. MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
    ICML 2024 ·
    Jianan Zhou
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  45. ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
    NeurIPS 2024 ·
    Haoran Ye
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