Zhiguang Cao

190 papers A* 50A 8C 1Journal 119Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.
AAAI
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2026 J jnl
Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs.
CoRR
Shuangchun Gui, Suyu Liu, Xuehe Wang, Zhiguang Cao
2026 J jnl
DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization.
CoRR
Shengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang
2026 A* conf
Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering.
AAAI
Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma
2026 J jnl
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling.
CoRR
Jiaqi Wang, Zhiguang Cao, Peng Zhao, Rui Cao, Yubin Xiao, Yuan Jiang, You Zhou
2026 J jnl
Learning to search for vehicle routing with multiple time windows.
Comput. Ind. Eng.
Kuan Xu, Zhiguang Cao, Chenlong Zheng, Lindong Liu
2026 J jnl
RADAR: Learning to Route with Asymmetry-aware DistAnce Representations.
CoRR
Hang Yi, Ziwei Huang, Yining Ma, Zhiguang Cao
2026 J jnl
READY: Reward Discovery for Meta-Black-Box Optimization.
CoRR
Zechuan Huang, Zhiguang Cao, Hongshu Guo, Yue-Jiao Gong, Zeyuan Ma
2026 J jnl
RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States.
CoRR
Xiangjie Xiao, Cong Zhang, Wen Song, Zhiguang Cao
2026 A* conf
Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing.
AAAI
Suyu Liu, Zhiguang Cao, Nan Yin, Yew-Soon Ong
2026 J jnl
Towards Efficient Constraint Handling in Neural Solvers for Routing Problems.
CoRR
Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu
2025 A* conf
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver.
ICML
Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong
2025 J jnl
A deep reinforcement learning method for solving Two-Echelon Location-Routing Problem.
Comput. Oper. Res.
Shuo Huang, Yaoxin Wu, Zhiguang Cao, Xuexi Zhang
2025 A* conf
Adversarial Generative Flow Network for Solving Vehicle Routing Problems.
ICLR
Ni Zhang, Jingfeng Yang, Zhiguang Cao, Xu Chi
2025 J jnl
Adversarial Generative Flow Network for Solving Vehicle Routing Problems.
CoRR
Ni Zhang, Jingfeng Yang, Zhiguang Cao, Xu Chi
2025 J jnl
An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems.
CoRR
Ni Zhang, Zhiguang Cao, Jianan Zhou, Cong Zhang, Yew-Soon Ong
2025 — conf
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem.
KDD (1)
Mingzhao Wang, You Zhou, Zhiguang Cao, Yubin Xiao, Xuan Wu, Wei Pang, Yuan Jiang, Hui Yang, Peng Zhao, Yuanshu Li
2025 J jnl
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem.
CoRR
Mingzhao Wang, You Zhou, Zhiguang Cao, Yubin Xiao, Xuan Wu, Wei Pang, Yuan Jiang, Hui Yang, Peng Zhao, Yuanshu Li
2025 J jnl
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.
CoRR
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2025 J jnl
Collaboration with Dynamic Open Ad Hoc Team via Team State Modelling.
Trans. Mach. Learn. Res.
Jing Sun, Cong Zhang, Zhiguang Cao
2025 J jnl
Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst.
Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu
2025 A* conf
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning.
AAAI
Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong
2025 A* conf
Coupling Category Alignment for Graph Domain Adaptation.
IJCAI
Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang
2025 A* conf
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning.
IJCAI
Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang
2025 J jnl
DL-DRL: A Double-Level Deep Reinforcement Learning Approach for Large-Scale Task Scheduling of Multi-UAV.
IEEE Trans Autom. Sci. Eng.
Xiao Mao, Guohua Wu, Mingfeng Fan, Zhiguang Cao, Witold Pedrycz
2025 J jnl
Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls.
IEEE Trans. Neural Networks Learn. Syst.
Conghui Wang, Zhiguang Cao, Yaoxin Wu, Long Teng, Guohua Wu
2025 — conf
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning.
KDD (1)
Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong
2025 J jnl
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning.
CoRR
Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong
2025 A* conf
Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning.
WWW
Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang
2025 A* conf
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem.
AAAI
Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin
2025 J jnl
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem.
CoRR
Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin
2025 A* conf
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems.
IJCAI
Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang
2025 J jnl
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems.
CoRR
Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang
2025 — conf
Enhancing Generalization in Large-Scale HCVRP: A Rank-Augmented Neural Solver.
KDD (2)
Qidong Liu, Jiurui Lian, Chaoyue Liu, Zhiguang Cao
2025 A conf
Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL.
AAMAS
Sheng Zang, Zhiguang Cao, Bo An, Senthilnath Jayavelu, Xiaoli Li
2025 J jnl
Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning.
CoRR
Jingwen Li, Zhiguang Cao, Yaoxin Wu, Tang Liu
2025 J jnl
Evolutionary System 2 Reasoning: An Empirical Proof.
CoRR
Zeyuan Ma, Wenqi Huang, Guo-Huan Song, Hongshu Guo, Sijie Ma, Zhiguang Cao, Yue-Jiao Gong
2025 A* conf
Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling.
ICLR
Yifan Yang, Gang Chen, Hui Ma, Cong Zhang, Zhiguang Cao, Mengjie Zhang
2025 J jnl
Heterogeneous Attention-Based Graph Convolutional Network for Solving Asymmetric Pickup and Delivery Problem.
IEEE Trans Autom. Sci. Eng.
Jiayi Li, Guohua Wu, Mingfeng Fan, Zhiguang Cao, Yalin Wang
2025 A conf
Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems.
AAMAS
Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin
2025 J jnl
Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems.
CoRR
Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin
2025 J jnl
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems.
CoRR
Ni Zhang, Zhiguang Cao
2025 J jnl
Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering.
CoRR
Chen Wang, Zeyuan Ma, Zhiguang Cao, Yue-Jiao Gong
2025 J jnl
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization.
CoRR
Xian-Rong Zhang, Yue-Jiao Gong, Zhiguang Cao, Jun Zhang
2025 J jnl
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization.
ACM Trans. Evol. Learn. Optim.
Xian-Rong Zhang, Yue-Jiao Gong, Zhiguang Cao, Jun Zhang
2025 A* conf
LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization.
SIGIR
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang
2025 J jnl
Large Language Models as End-to-end Combinatorial Optimization Solvers.
CoRR
Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang
2025 J jnl
Learning to Search for Vehicle Routing with Multiple Time Windows.
CoRR
Kuan Xu, Zhiguang Cao, Chenlong Zheng, Linong Liu
2025 A conf
MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems.
GECCO
Huigen Ye, Yaoyang Cheng, Hua Xu, Zhiguang Cao, Hanzhang Qin
2025 A* conf
Meta-Black-Box-Optimization through Offline Q-function Learning.
ICML
Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong
2025 J jnl
Meta-Black-Box-Optimization through Offline Q-function Learning.
CoRR
Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong
2025 J jnl
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP.
CoRR
Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin
2025 A* conf
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion.
ICLR
Jinbiao Chen, Jiahai Wang, Zhiguang Cao, Yaoxin Wu
2025 J jnl
Neuro-Ins: A Learning-Based One-Shot Node Insertion for Dynamic Routing Problems.
IEEE Trans. Knowl. Data Eng.
Zhiqin Zhang, Jingfeng Yang, Zhiguang Cao, Hoong Chuin Lau
2025 A* conf
Preference-based Deep Reinforcement Learning for Historical Route Estimation.
IJCAI
Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou, Qiang Zhang
2025 J jnl
Probing Neural Combinatorial Optimization Models.
CoRR
Zhiqin Zhang, Yining Ma, Zhiguang Cao, Hoong Chuin Lau
2025 — conf
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
KDD (2)
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
2025 J jnl
Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM.
CoRR
Rongjie Zhu, Cong Zhang, Zhiguang Cao
2025 A* conf
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems.
ICLR
Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin Xu
2025 J jnl
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems.
CoRR
Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin Xu
2025 A* conf
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding.
ICLR
Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong
2025 A* conf
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy.
ICML
Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee
2025 J jnl
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy.
CoRR
Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee
2025 J jnl
Solving two-stage stochastic integer programs via representation learning.
Neural Networks
Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang
2025 A conf
Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study.
GECCO
Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong
2025 J jnl
Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study.
CoRR
Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong
2025 A* conf
Visual-Enhanced Multimodal Framework for Flexible Job Shop Scheduling Problem.
ACM Multimedia
Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang
2024 A* conf
Adaptive Stabilization Based on Machine Learning for Column Generation.
ICML
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
2024 J jnl
Adaptive Stabilization Based on Machine Learning for Column Generation.
CoRR
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
2024 A* conf
Collaboration! Towards Robust Neural Methods for Routing Problems.
NeurIPS
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024 J jnl
Collaboration! Towards Robust Neural Methods for Routing Problems.
CoRR
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024 A conf
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
AAMAS
Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti
2024 J jnl
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning.
CoRR
Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong
2024 J jnl
Cooperative trucks and drones for rural last-mile delivery with steep roads.
Comput. Ind. Eng.
Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao
2024 A* conf
Cross-Problem Learning for Solving Vehicle Routing Problems.
IJCAI
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024 J jnl
Cross-Problem Learning for Solving Vehicle Routing Problems.
CoRR
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024 J jnl
DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target.
IEEE Trans. Neural Networks Learn. Syst.
Hongliang Guo, Qihang Peng, Zhiguang Cao, Yaochu Jin
2024 A* conf
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling.
ICLR
Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang
2024 J jnl
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution.
CoRR
Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
2024 J jnl
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution.
IEEE Trans. Syst. Man Cybern. Syst.
Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
2024 J jnl
Efficient Neural Collaborative Search for Pickup and Delivery Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu, Jianhua Xiao
2024 A* conf
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time.
AAAI
Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li
2024 A* conf
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios.
KDD
Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
2024 J jnl
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios.
CoRR
Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
2024 J jnl
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation.
CoRR
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong
2024 J jnl
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst.
Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee
2024 A conf
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem.
UAI
Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
2024 J jnl
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem.
CoRR
Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
2024 A* conf
Learning to Handle Complex Constraints for Vehicle Routing Problems.
NeurIPS
Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024 J jnl
Learning to Handle Complex Constraints for Vehicle Routing Problems.
CoRR
Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024 A* conf
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.
ICML
Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024 J jnl
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.
CoRR
Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024 A* conf
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.
NeurIPS
Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song
2024 J jnl
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.
CoRR
Haoran Ye, Jiarui Wang, Zhiguang Cao, Guojie Song
2024 J jnl
SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem.
IEEE Trans. Intell. Transp. Syst.
Hongliang Guo, Zhi He, Wenda Sheng, Zhiguang Cao, Yingjie Zhou, Weinan Gao
2024 J jnl
Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning.
IEEE Trans Autom. Sci. Eng.
Wen Song, Nan Mi, Qiqiang Li, Jing Zhuang, Zhiguang Cao
2024 J jnl
The low-carbon vehicle routing problem with dynamic speed on steep roads.
Comput. Oper. Res.
Jianhua Xiao, Xiaoyang Liu, Huixian Zhang, Zhiguang Cao, Liujiang Kang, Yunyun Niu
2023 J jnl
A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls.
Appl. Soft Comput.
Jianhua Xiao, Jingguo Du, Zhiguang Cao, Xingyi Zhang, Yunyun Niu
2023 J jnl
Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations.
IEEE Trans. Veh. Technol.
Mingfeng Fan, Yaoxin Wu, Tianjun Liao, Zhiguang Cao, Hongliang Guo, Guillaume Sartoretti, Guohua Wu
2023 A* conf
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization.
NeurIPS
Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li
2023 J jnl
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization.
CoRR
Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li
2023 J jnl
Distributed representation learning with skip-gram model for trained random forests.
Neurocomputing
Chao Ma, Tianjun Wang, Le Zhang, Zhiguang Cao, Yue Huang, Xinghao Ding
2023 A* conf
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization.
NeurIPS
Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen
2023 J jnl
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization.
CoRR
Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen
2023 A* conf
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.
NeurIPS
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang
2023 J jnl
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics
Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao
2023 J jnl
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time.
CoRR
Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li
2023 J jnl
Instance-specific algorithm configuration via unsupervised deep graph clustering.
Eng. Appl. Artif. Intell.
Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li
2023 J jnl
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.
CoRR
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023 J jnl
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.
IEEE Trans. Knowl. Data Eng.
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023 A* conf
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt.
NeurIPS
Yining Ma, Zhiguang Cao, Yeow Meng Chee
2023 J jnl
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt.
CoRR
Yining Ma, Zhiguang Cao, Yeow Meng Chee
2023 J jnl
Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming.
IEEE Trans. Cybern.
Yuan Jiang, Zhiguang Cao, Jie Zhang
2023 J jnl
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2023 A* conf
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning.
NeurIPS
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
2023 J jnl
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning.
CoRR
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
2023 A conf
Multi-view graph contrastive learning for solving vehicle routing problems.
UAI
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2023 J jnl
Neural Airport Ground Handling.
CoRR
Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
2023 J jnl
Neural Airport Ground Handling.
IEEE Trans. Intell. Transp. Syst.
Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
2023 A* conf
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.
NeurIPS
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
2023 J jnl
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.
CoRR
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
2023 J jnl
Reinforced Adaptation Network for Partial Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li
2023 A* conf
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.
ICML
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2023 J jnl
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.
CoRR
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2022 J jnl
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern.
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2022 A* conf
Efficient Neural Neighborhood Search for Pickup and Delivery Problems.
IJCAI
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
2022 J jnl
Efficient Neural Neighborhood Search for Pickup and Delivery Problems.
CoRR
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
2022 J jnl
GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks.
IEEE Trans. Intell. Transp. Syst.
Hongliang Guo, Xuejie Hou, Zhiguang Cao, Jie Zhang
2022 A* conf
Graph Learning Assisted Multi-Objective Integer Programming.
NeurIPS
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
2022 J jnl
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2022 A* conf
Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival.
KDD
Zebin Chen, Xiaolin Xiao, Yue-Jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao
2022 A* conf
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.
NeurIPS
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
2022 J jnl
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.
CoRR
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
2022 J jnl
Learning Improvement Heuristics for Solving Routing Problems.
IEEE Trans. Neural Networks Learn. Syst.
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2022 A* conf
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs.
ICLR
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2022 J jnl
Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning.
CoRR
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2022 J jnl
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning.
CoRR
Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2022 A* conf
Learning to Solve Routing Problems via Distributionally Robust Optimization.
AAAI
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
2022 J jnl
Learning to Solve Routing Problems via Distributionally Robust Optimization.
CoRR
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
2022 J jnl
Learning variable ordering heuristics for solving Constraint Satisfaction Problems.
Eng. Appl. Artif. Intell.
Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim
2022 J jnl
Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem.
Inf. Sci.
Yunyun Niu, Jie Shao, Jianhua Xiao, Wen Song, Zhiguang Cao
2021 J jnl
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning.
IEEE Trans. Intell. Transp. Syst.
Qiaohong Li, Sahil Garg, Jiangtian Nie, Xiang Li, Ryan Wen Liu, Zhiguang Cao, M. Shamim Hossain
2021 J jnl
A Novel Robotic Guidance System With Eye-Gaze Tracking Control for Needle-Based Interventions.
IEEE Trans. Cogn. Dev. Syst.
Jing Guo, Yi Liu, Qing Qiu, Jie Huang, Chao Liu, Zhiguang Cao, Yue Chen
2021 — conf
An Iterative Scheme for Hierarchical Production Planning in Semiconductor Wafer Fabrication.
IEEM
Rajarshi Bardhan, Chi Xu, Zhiguang Cao, Puay Siew Tan
2021 J jnl
An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand.
Knowl. Based Syst.
Yunyun Niu, Detian Kong, Rong Wen, Zhiguang Cao, Jianhua Xiao
2021 J jnl
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
CoRR
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2021 J jnl
Detecting the shuttlecock for a badminton robot: A YOLO based approach.
Expert Syst. Appl.
Zhiguang Cao, Tingbo Liao, Wen Song, Zhenghua Chen, Chongshou Li
2021 J jnl
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning.
CoRR
Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2021 J jnl
Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach.
IEEE Trans. Intell. Transp. Syst.
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu
2021 A* conf
Learning Large Neighborhood Search Policy for Integer Programming.
NeurIPS
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2021 J jnl
Learning Large Neighborhood Search Policy for Integer Programming.
CoRR
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2021 A* conf
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.
NeurIPS
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
2021 J jnl
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.
CoRR
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
2021 J jnl
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands.
Swarm Evol. Comput.
Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao, Jianhua Xiao, Wen Song, Fangwei Zhang
2021 A* conf
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems.
AAAI
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021 A* conf
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem.
NeurIPS
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021 J jnl
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem.
CoRR
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021 A conf
Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning.
AAMAS
Yuan Jiang, Zhiguang Cao, Jie Zhang
2021 J jnl
Step-Wise Deep Learning Models for Solving Routing Problems.
IEEE Trans. Ind. Informatics
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020 A* conf
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism.
AAAI
Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang
2020 J jnl
An Accurate Solution to the Cardinality-Based Punctuality Problem.
IEEE Intell. Transp. Syst. Mag.
Zhiguang Cao, Yaoxin Wu, Akshay Rao, Felix Klanner, Stefan Erschen, Wei Chen, Le Zhang, Hongliang Guo
2020 J jnl
Cost-sensitive deep forest for price prediction.
Pattern Recognit.
Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng
2020 A* conf
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning.
NeurIPS
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2020 J jnl
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning.
CoRR
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2020 J jnl
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems.
CoRR
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020 — conf
Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach.
CCNC
Jiawen Kang, Zehui Xiong, Dusit Niyato, Zhiguang Cao, Amir Leshem
2020 J jnl
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation.
IEEE Trans. Veh. Technol.
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang
2020 J jnl
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.
IEEE Internet Things J.
Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao
2019 J jnl
A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty.
J. Artif. Intell. Res.
Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi
2019 J jnl
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.
IEEE CAA J. Autom. Sinica
Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan
2019 — conf
An Integrated Approach for a Universal Routing Algorithm.
ITSC
Mareike Hedderich, Ulrich Fastenrath, Zhiguang Cao, Michael G. H. Bell, Klaus Bogenberger
2019 J jnl
Learning Improvement Heuristics for Solving the Travelling Salesman Problem.
CoRR
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2019 J jnl
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems.
CoRR
Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2019 J jnl
Using FTOC to track shuttlecock for the badminton robot.
Neurocomputing
Wei Chen, Tingbo Liao, Zhihang Li, Haozhi Lin, Hong Xue, Le Zhang, Jing Guo, Zhiguang Cao
2019 J jnl
WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM.
IEEE Trans. Mob. Comput.
Zhenghua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao, Wei Cui
2018 J jnl
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time.
ACM Trans. Intell. Syst. Technol.
Zhiguang Cao, Hongliang Guo, Jie Zhang
2018 J jnl
A Simulation Environment for Evaluation of Routing Algorithms for Improvement of Electromobility Related Services.
IEEE Intell. Transp. Syst. Mag.
Akshay Rao, Zhiguang Cao, Felix Klanner
2018 J jnl
Distilling the Knowledge From Handcrafted Features for Human Activity Recognition.
IEEE Trans. Ind. Informatics
Zhenghua Chen, Le Zhang, Zhiguang Cao, Jing Guo
2018 — conf
Flexible Integrated Sensor Array for Pressure, Humidity and Temperature Sensing
CBS
Tie Li, Lili Li, Zhiguang Cao, Ting Zhang
2018 C conf
The Robotic Fish Strategy Based on The Extreme Learning Machine Optimized by Particle Swarm Optimization Algorithm.
ICIS
Xuexi Zhang, Shuibiao Chen, Zhiguang Cao, Shuting Cai, Zerong Peng, Xiaoming Xiong
2017 J jnl
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion.
IEEE Trans. Intell. Transp. Syst.
Zhiguang Cao, Siwei Jiang, Jie Zhang, Hongliang Guo
2017 A* conf
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method.
AAAI
Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath
2017 — conf
Multiagent-based cooperative vehicle routing using node pressure and auctions.
ITSC
Madhavan Seshadri, Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath
2017 J jnl
Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability.
IEEE Trans. Emerg. Top. Comput. Intell.
Hongliang Guo, Zhiguang Cao, Madhavan Seshadri, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2016 J jnl
Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach.
IEEE Trans. Intell. Transp. Syst.
Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2016 J jnl
Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method.
IEEE Trans. Veh. Technol.
Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2016 A* conf
Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time.
AAAI
Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath
2014 — conf
A data-driven method for stochastic shortest path problem.
ITSC
Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2014 — conf
A multi-hop reputation announcement scheme for VANETs.
SOLI
Zhiguang Cao, Qin Li, Hoon Wei Lim, Jie Zhang
2014 — conf
Routing multiple cars in large scale networks: Minimizing road network breakdown probability.
ITSC
Hongliang Guo, Zhiguang Cao, Jie Zhang, Dusit Niyato, Ulrich Fastenrath