Cao, Zhiguang

52 publications

ICML 2025 A Mixed-Curvature Based Pre-Training Paradigm for Multi-Task Vehicle Routing Solver Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong

ICLR 2025 Adversarial Generative Flow Network for Solving Vehicle Routing Problems Ni Zhang, Jingfeng Yang, Zhiguang Cao, Xu Chi

TMLR 2025 Collaboration with Dynamic Open Ad Hoc Team via Team State Modelling Jing Sun, Cong Zhang, Zhiguang Cao

AAAI 2025 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong

IJCAI 2025 Coupling Category Alignment for Graph Domain Adaptation Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang

IJCAI 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang

AAAI 2025 DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-Scale Traveling Salesman Problem Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin

IJCAI 2025 EFormer: An Effective Edge-Based Transformer for Vehicle Routing Problems Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang

ICLR 2025 Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling Yifan Yang, Gang Chen, Hui Ma, Cong Zhang, Zhiguang Cao, Mengjie Zhang

NeurIPS 2025 Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems Ni Zhang, Zhiguang Cao

NeurIPS 2025 Large Language Models as End-to-End Combinatorial Optimization Solvers Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang

NeurIPS 2025 Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling Jiaqi Wang, Zhiguang Cao, Peng Zhao, Rui Cao, Yubin Xiao, Yuan Jiang, You Zhou

ICML 2025 Meta-Black-Box-Optimization Through Offline Q-Function Learning Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong

NeurIPS 2025 Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts Under State-Decomposable MDP Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin

ICLR 2025 Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion Jinbiao Chen, Jiahai Wang, Zhiguang Cao, Yaoxin Wu

IJCAI 2025 Preference-Based Deep Reinforcement Learning for Historical Route Estimation Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou, Qiang Zhang

NeurIPS 2025 Probing Neural Combinatorial Optimization Models Zhiqin Zhang, Yining Ma, Zhiguang Cao, Hoong Chuin Lau

ICLR 2025 Rethinking Light Decoder-Based Solvers for Vehicle Routing Problems Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin Xu

ICLR 2025 Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong

ICML 2025 SHIELD: Multi-Task Multi-Distribution Vehicle Routing Solver with Sparsity and Hierarchy Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee

NeurIPS 2025 UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems Dian Meng, Zhiguang Cao, Jie Gao, Yaoxin Wu, Yaqing Hou

ICML 2024 Adaptive Stabilization Based on Machine Learning for Column Generation Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew Eberhard, Guangquan Zhang

NeurIPS 2024 Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

IJCAI 2024 Cross-Problem Learning for Solving Vehicle Routing Problems Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu

ICLR 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang

AAAI 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li

UAI 2024 Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun

NeurIPS 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

ICML 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi

NeurIPS 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song

NeurIPS 2023 DeepACO: Neural-Enhanced Ant Systems for Combinatorial Optimization Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li

NeurIPS 2023 Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen

NeurIPS 2023 Ensemble-Based Deep Reinforcement Learning for Vehicle Routing Problems Under Distribution Shift Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

NeurIPS 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural K-Opt Yining Ma, Zhiguang Cao, Yeow Meng Chee

NeurIPS 2023 MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao

UAI 2023 Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang

NeurIPS 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang

ICML 2023 Towards Omni-Generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

IJCAI 2022 Efficient Neural Neighborhood Search for Pickup and Delivery Problems Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee

NeurIPS 2022 Graph Learning Assisted Multi-Objective Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin

NeurIPS 2022 Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee

ICLR 2022 Learning Scenario Representation for Solving Two-Stage Stochastic Integer Programs Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

AAAI 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

NeurIPS 2021 Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 2021 Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang

AAAI 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 2021 NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

AAAI 2020 AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang

NeurIPS 2020 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Xu Chi

JAIR 2019 A Sampling Approach for Proactive Project Scheduling Under Generalized Time-Dependent Workability Uncertainty Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi

AAAI 2017 Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath

AAAI 2016 Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath