PPaperPicks

Zhiguang Cao

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

Venues

Frequent coauthors

Yaoxin Wu
×15
Yining Ma
×8
Wen Song
×7
Yue-Jiao Gong
×6
Jianan Zhou
×6
You Zhou
×5
Yuan Jiang
×5
Peng Zhao
×5
Jie Zhang
×5
Zeyuan Ma
×4
Yubin Xiao
×4
Yaqing Hou
×4

Papers

  1. Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
    AAAI 2026 ·
    Jianghan Zhu
    ,
    Yaoxin Wu
    ,
    Zhuoyi Lin
    ,
    Zhengyuan Zhang
    ,
    Haiyan Yin
    , Zhiguang Cao,
    Senthilnath Jayavelu
    ,
    Xiaoli Li
  2. Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering
    AAAI 2026 ·
    Chen Wang
    ,
    Yue-Jiao Gong
    , Zhiguang Cao,
    Zeyuan Ma
  3. Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing
    AAAI 2026 ·
    Suyu Liu
    , Zhiguang Cao,
    Nan Yin
    ,
    Yew-Soon Ong
  4. A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
    ICML 2025 ·
    Suyu Liu
    , Zhiguang Cao,
    Shanshan Feng
    ,
    Yew-Soon Ong
  5. Adversarial Generative Flow Network for Solving Vehicle Routing Problems
    ICLR 2025 ·
    Ni Zhang
    ,
    Jingfeng Yang
    , Zhiguang Cao,
    Xu Chi
  6. An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem
    SIGKDD 2025 ·
    Mingzhao Wang
    ,
    You Zhou
    , Zhiguang Cao,
    Yubin Xiao
    ,
    Xuan Wu
    ,
    Wei Pang
    ,
    Yuan Jiang
    ,
    Hui Yang
    ,
    Peng Zhao
    ,
    Yuanshu Li
  7. ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
    AAAI 2025 ·
    Hongshu Guo
    ,
    Zeyuan Ma
    ,
    Jiacheng Chen
    ,
    Yining Ma
    , Zhiguang Cao,
    Xinglin Zhang
    ,
    Yue-Jiao Gong
  8. Coupling Category Alignment for Graph Domain Adaptation
    IJCAI 2025 ·
    Nan Yin
    ,
    Xiao Teng
    , Zhiguang Cao,
    Mengzhu Wang
  9. DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning
    IJCAI 2025 ·
    Yubin Xiao
    ,
    Yuesong Wu
    ,
    Rui Cao
    ,
    Di Wang
    , Zhiguang Cao,
    Xuan Wu
    ,
    Peng Zhao
    ,
    Yuanshu Li
    ,
    You Zhou
    ,
    Yuan Jiang
  10. Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
    SIGKDD 2025 ·
    Qi Li
    , Zhiguang Cao,
    Yining Ma
    ,
    Yaoxin Wu
    ,
    Yue-Jiao Gong
  11. Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning
    WWW 2025 ·
    Peng Zhao
    ,
    You Zhou
    ,
    Di Wang
    , Zhiguang Cao,
    Yubin Xiao
    ,
    Xuan Wu
    ,
    Yuanshu Li
    ,
    Hongjia Liu
    ,
    Wei Du
    ,
    Yuan Jiang
    ,
    Liupu Wang
  12. DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
    AAAI 2025 ·
    Shipei Zhou
    ,
    Yuandong Ding
    ,
    Chi Zhang
    , Zhiguang Cao,
    Yan Jin
  13. EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
    IJCAI 2025 ·
    Dian Meng
    , Zhiguang Cao,
    Yaoxin Wu
    ,
    Yaqing Hou
    ,
    Hongwei Ge
    ,
    Qiang Zhang
  14. Enhancing Generalization in Large-Scale HCVRP: A Rank-Augmented Neural Solver
    SIGKDD 2025 ·
    Qidong Liu
    ,
    Jiurui Lian
    ,
    Chaoyue Liu
    , Zhiguang Cao
  15. Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL
    AAMAS 2025 ·
    Sheng Zang
    , Zhiguang Cao,
    Bo An
    ,
    Senthilnath Jayavelu
    ,
    Xiaoli Li
  16. Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
    ICLR 2025 ·
    Yifan Yang
    ,
    Gang Chen
    ,
    Hui Ma
    ,
    Cong Zhang
    , Zhiguang Cao,
    Mengjie Zhang
  17. Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
    AAMAS 2025 ·
    Yuxin Pan
    ,
    Ruohong Liu
    ,
    Yize Chen
    , Zhiguang Cao,
    Fangzhen Lin
  18. Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
    NeurIPS 2025 ·
    Ni Zhang
    , Zhiguang Cao
  19. LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization
    SIGIR 2025 ·
    Xiaoshan Yu
    ,
    Shangshang Yang
    ,
    Ziwen Wang
    ,
    Siyu Song
    ,
    Haiping Ma
    , Zhiguang Cao,
    Xingyi Zhang
  20. Large Language Models as End-to-end Combinatorial Optimization Solvers
    NeurIPS 2025 ·
    Xia Jiang
    ,
    Yaoxin Wu
    ,
    Minshuo Li
    , Zhiguang Cao,
    Yingqian Zhang
  21. Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
    NeurIPS 2025 ·
    Jiaqi Wang
    , Zhiguang Cao,
    Peng Zhao
    ,
    Rui Cao
    ,
    Yubin Xiao
    ,
    Yuan Jiang
    ,
    You Zhou
  22. MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems
    GECCO 2025 ·
    Huigen Ye
    ,
    Yaoyang Cheng
    ,
    Hua Xu
    , Zhiguang Cao,
    Hanzhang Qin
  23. Meta-Black-Box-Optimization through Offline Q-function Learning
    ICML 2025 ·
    Zeyuan Ma
    , Zhiguang Cao,
    Zhou Jiang
    ,
    Hongshu Guo
    ,
    Yue-Jiao Gong
  24. Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
    NeurIPS 2025 ·
    Yuxin Pan
    , Zhiguang Cao,
    Chengyang Gu
    ,
    Liu Liu
    ,
    Peilin Zhao
    ,
    Yize Chen
    ,
    Fangzhen Lin
  25. Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
    ICLR 2025 ·
    Jinbiao Chen
    ,
    Jiahai Wang
    , Zhiguang Cao,
    Yaoxin Wu
  26. Preference-based Deep Reinforcement Learning for Historical Route Estimation
    IJCAI 2025 ·
    Boshen Pan
    ,
    Yaoxin Wu
    , Zhiguang Cao,
    Yaqing Hou
    ,
    Guangyu Zou
    ,
    Qiang Zhang
  27. Probing Neural Combinatorial Optimization Models
    NeurIPS 2025 ·
    Zhiqin Zhang
    ,
    Yining Ma
    , Zhiguang Cao,
    Hoong Chuin Lau
  28. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
    ,
    Chuanbo Hua
    ,
    Junyoung Park
    ,
    Laurin Luttmann
    ,
    Yining Ma
    ,
    Fanchen Bu
    ,
    Jiarui Wang
    ,
    Haoran Ye
    ,
    Minsu Kim
    ,
    Sanghyeok Choi
    ,
    Nayeli Gast Zepeda
    ,
    André Hottung
    ,
    Jianan Zhou
    ,
    Jieyi Bi
    ,
    Yu Hu
    ,
    Fei Liu
    ,
    Hyeonah Kim
    ,
    Jiwoo Son
    ,
    Haeyeon Kim
    ,
    Davide Angioni
    ,
    Wouter Kool
    , Zhiguang Cao,
    Qingfu Zhang
    ,
    Joungho Kim
    ,
    Jie Zhang
    ,
    Kijung Shin
    ,
    Cathy Wu
    ,
    Sungsoo Ahn
    ,
    Guojie Song
    ,
    Changhyun Kwon
    ,
    Kevin Tierney
    ,
    Lin Xie
    ,
    Jinkyoo Park
  29. Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
    ICLR 2025 ·
    Ziwei Huang
    ,
    Jianan Zhou
    , Zhiguang Cao,
    Yixin Xu
  30. Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
    ICLR 2025 ·
    Jinbiao Chen
    , Zhiguang Cao,
    Jiahai Wang
    ,
    Yaoxin Wu
    ,
    Hanzhang Qin
    ,
    Zizhen Zhang
    ,
    Yue-Jiao Gong
  31. SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
    ICML 2025 ·
    Yong Liang Goh
    , Zhiguang Cao,
    Yining Ma
    ,
    Jianan Zhou
    ,
    Mohammed Haroon Dupty
    ,
    Wee Sun Lee
  32. Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
    GECCO 2025 ·
    Zeyuan Ma
    ,
    Zhiyang Huang
    ,
    Jiacheng Chen
    , Zhiguang Cao,
    Yue-Jiao Gong
  33. UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
    NeurIPS 2025 ·
    Dian Meng
    , Zhiguang Cao,
    Jie Gao
    ,
    Yaoxin Wu
    ,
    Yaqing Hou
  34. Visual-Enhanced Multimodal Framework for Flexible Job Shop Scheduling Problem
    ACM MM 2025 ·
    Peng Zhao
    , Zhiguang Cao,
    Di Wang
    ,
    Wen Song
    ,
    Wei Pang
    ,
    You Zhou
    ,
    Yuan Jiang
  35. Adaptive Stabilization Based on Machine Learning for Column Generation
    ICML 2024 ·
    Yunzhuang Shen
    ,
    Yuan Sun
    ,
    Xiaodong Li
    , Zhiguang Cao,
    Andrew C. Eberhard
    ,
    Guangquan Zhang
  36. Collaboration! Towards Robust Neural Methods for Routing Problems
    NeurIPS 2024 ·
    Jianan Zhou
    ,
    Yaoxin Wu
    , Zhiguang Cao,
    Wen Song
    ,
    Jie Zhang
    ,
    Zhiqi Shen
  37. Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems
    AAMAS 2024 ·
    Yaoxin Wu
    ,
    Mingfeng Fan
    , Zhiguang Cao,
    Ruobin Gao
    ,
    Yaqing Hou
    ,
    Guillaume Sartoretti
  38. Cross-Problem Learning for Solving Vehicle Routing Problems
    IJCAI 2024 ·
    Zhuoyi Lin
    ,
    Yaoxin Wu
    ,
    Bangjian Zhou
    , Zhiguang Cao,
    Wen Song
    ,
    Yingqian Zhang
    ,
    Senthilnath Jayavelu
  39. Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
    ICLR 2024 ·
    Cong Zhang
    , Zhiguang Cao,
    Wen Song
    ,
    Yaoxin Wu
    ,
    Jie Zhang
  40. GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
    AAAI 2024 ·
    Haoran Ye
    ,
    Jiarui Wang
    ,
    Helan Liang
    , Zhiguang Cao,
    Yong Li
    ,
    Fanzhang Li
  41. Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
    SIGKDD 2024 ·
    Yong Liang Goh
    , Zhiguang Cao,
    Yining Ma
    ,
    Yanfei Dong
    ,
    Mohammed Haroon Dupty
    ,
    Wee Sun Lee
  42. Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
    UAI 2024 ·
    Cong Zhang
    , Zhiguang Cao,
    Yaoxin Wu
    ,
    Wen Song
    ,
    Jing Sun
  43. Learning to Handle Complex Constraints for Vehicle Routing Problems
    NeurIPS 2024 ·
    Jieyi Bi
    ,
    Yining Ma
    ,
    Jianan Zhou
    ,
    Wen Song
    , Zhiguang Cao,
    Yaoxin Wu
    ,
    Jie Zhang
  44. MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
    ICML 2024 ·
    Jianan Zhou
    , Zhiguang Cao,
    Yaoxin Wu
    ,
    Wen Song
    ,
    Yining Ma
    ,
    Jie Zhang
    ,
    Chi Xu
  45. ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
    NeurIPS 2024 ·
    Haoran Ye
    ,
    Jiarui Wang
    , Zhiguang Cao,
    Federico Berto
    ,
    Chuanbo Hua
    ,
    Haeyeon Kim
    ,
    Jinkyoo Park
    ,
    Guojie Song