Zhiguang Cao

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 107

Top Venues

CoRR

NeurIPS

IEEE Trans. Intell. Transp. Syst.

AAAI

Publications

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. CoRR (2024)
Hongliang Guo, Qihang Peng, Zhiguang Cao, Yaochu Jin
DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. KDD (2024)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR (2024)
Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time. AAAI (2024)
Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao
Cooperative trucks and drones for rural last-mile delivery with steep roads. Comput. Ind. Eng. 187 (2024)
Wen Song, Nan Mi, Qiqiang Li, Jing Zhuang, Zhiguang Cao
Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR (2024)
Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. CoRR (2024)
Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. AAMAS (2024)
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR (2024)
Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 54 (7) (2024)
Jianhua Xiao, Xiaoyang Liu, Huixian Zhang, Zhiguang Cao, Liujiang Kang, Yunyun Niu
The low-carbon vehicle routing problem with dynamic speed on steep roads. Comput. Oper. Res. 169 (2024)
Haoran Ye, Jiarui Wang, Zhiguang Cao, Guojie Song
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. CoRR (2024)
Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem. CoRR (2024)
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. CoRR (2024)
Hongliang Guo, Zhi He, Wenda Sheng, Zhiguang Cao, Yingjie Zhou, Weinan Gao
SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang
Multi-view graph contrastive learning for solving vehicle routing problems. UAI (2023)
Chao Ma, Tianjun Wang, Le Zhang, Zhiguang Cao, Yue Huang, Xinghao Ding
Distributed representation learning with skip-gram model for trained random forests. Neurocomputing 551 (2023)
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. NeurIPS (2023)
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. CoRR (2023)
Yuan Jiang, Zhiguang Cao, Jie Zhang
Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming. IEEE Trans. Cybern. 53 (5) (2023)
Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time. CoRR (2023)
Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. IEEE Trans. Ind. Informatics 19 (2) (2023)
Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization. CoRR (2023)
Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization. NeurIPS (2023)
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS (2023)
Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li
Instance-specific algorithm configuration via unsupervised deep graph clustering. Eng. Appl. Artif. Intell. 125 (2023)
Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
Neural Airport Ground Handling. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
Neural Airport Ground Handling. CoRR (2023)
Jianhua Xiao, Jingguo Du, Zhiguang Cao, Xingyi Zhang, Yunyun Niu
A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls. Appl. Soft Comput. 134 (2023)
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML (2023)
Mingfeng Fan, Yaoxin Wu, Tianjun Liao, Zhiguang Cao, Hongliang Guo, Guillaume Sartoretti, Guohua Wu
Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. IEEE Trans. Veh. Technol. 72 (5) (2023)
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. CoRR (2023)
Yining Ma, Zhiguang Cao, Yeow Meng Chee
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. CoRR (2023)
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. NeurIPS (2023)
Yining Ma, Zhiguang Cao, Yeow Meng Chee
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. NeurIPS (2023)
Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li
Reinforced Adaptation Network for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33 (5) (2023)
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. NeurIPS (2023)
Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. CoRR (2023)
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR (2023)
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR (2023)
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. CoRR (2022)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
Learning Improvement Heuristics for Solving Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 52 (12) (2022)
Yunyun Niu, Jie Shao, Jianhua Xiao, Wen Song, Zhiguang Cao
Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem. Inf. Sci. 609 (2022)
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. IJCAI (2022)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR (2022)
Hongliang Guo, Xuejie Hou, Zhiguang Cao, Jie Zhang
GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim
Learning variable ordering heuristics for solving Constraint Satisfaction Problems. Eng. Appl. Artif. Intell. 109 (2022)
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning. CoRR (2022)
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. NeurIPS (2022)
Zebin Chen, Xiaolin Xiao, Yue-Jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao
Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. KDD (2022)
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. CoRR (2022)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS (2022)
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
Learning to Solve Routing Problems via Distributionally Robust Optimization. CoRR (2022)
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
Learning to Solve Routing Problems via Distributionally Robust Optimization. AAAI (2022)
Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR (2022)
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. CoRR (2021)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. NeurIPS (2021)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Learning Large Neighborhood Search Policy for Integer Programming. CoRR (2021)
Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao, Jianhua Xiao, Wen Song, Fangwei Zhang
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands. Swarm Evol. Comput. 60 (2021)
Zhiguang Cao, Tingbo Liao, Wen Song, Zhenghua Chen, Chongshou Li
Detecting the shuttlecock for a badminton robot: A YOLO based approach. Expert Syst. Appl. 164 (2021)
Yunyun Niu, Detian Kong, Rong Wen, Zhiguang Cao, Jianhua Xiao
An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand. Knowl. Based Syst. 230 (2021)
Jing Guo, Yi Liu, Qing Qiu, Jie Huang, Chao Liu, Zhiguang Cao, Yue Chen
A Novel Robotic Guidance System With Eye-Gaze Tracking Control for Needle-Based Interventions. IEEE Trans. Cogn. Dev. Syst. 13 (1) (2021)
Rajarshi Bardhan, Chi Xu, Zhiguang Cao, Puay Siew Tan
An Iterative Scheme for Hierarchical Production Planning in Semiconductor Wafer Fabrication. IEEM (2021)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI (2021)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics 17 (7) (2021)
Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. CoRR (2021)
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. NeurIPS (2021)
Yuan Jiang, Zhiguang Cao, Jie Zhang
Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. AAMAS (2021)
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. CoRR (2021)
Qiaohong Li, Sahil Garg, Jiangtian Nie, Xiang Li, Ryan Wen Liu, Zhiguang Cao, M. Shamim Hossain
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning. IEEE Trans. Intell. Transp. Syst. 22 (7) (2021)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS (2021)
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu
Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach. IEEE Trans. Intell. Transp. Syst. 22 (10) (2021)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. CoRR (2021)
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. NeurIPS (2020)
Zhiguang Cao, Yaoxin Wu, Akshay Rao, Felix Klanner, Stefan Erschen, Wei Chen, Le Zhang, Hongliang Guo
An Accurate Solution to the Cardinality-Based Punctuality Problem. IEEE Intell. Transp. Syst. Mag. 12 (4) (2020)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR (2020)
Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet Things J. 7 (11) (2020)
Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107 (2020)
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. IEEE Trans. Veh. Technol. 69 (3) (2020)
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. CoRR (2020)
Jiawen Kang, Zehui Xiong, Dusit Niyato, Zhiguang Cao, Amir Leshem
Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach. CCNC (2020)
Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. AAAI (2020)
Mareike Hedderich, Ulrich Fastenrath, Zhiguang Cao, Michael G. H. Bell, Klaus Bogenberger
An Integrated Approach for a Universal Routing Algorithm. ITSC (2019)
Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. CoRR (2019)
Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi
A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty. J. Artif. Intell. Res. 64 (2019)
Zhenghua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao, Wei Cui
WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM. IEEE Trans. Mob. Comput. 18 (11) (2019)
Wei Chen, Tingbo Liao, Zhihang Li, Haozhi Lin, Hong Xue, Le Zhang, Jing Guo, Zhiguang Cao
Using FTOC to track shuttlecock for the badminton robot. Neurocomputing 334 (2019)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR (2019)
Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE CAA J. Autom. Sinica 6 (4) (2019)
Tie Li, Lili Li, Zhiguang Cao, Ting Zhang
. CBS (2018)
Xuexi Zhang, Shuibiao Chen, Zhiguang Cao, Shuting Cai, Zerong Peng, Xiaoming Xiong
The Robotic Fish Strategy Based on The Extreme Learning Machine Optimized by Particle Swarm Optimization Algorithm. ICIS (2018)
Zhenghua Chen, Le Zhang, Zhiguang Cao, Jing Guo
Distilling the Knowledge From Handcrafted Features for Human Activity Recognition. IEEE Trans. Ind. Informatics 14 (10) (2018)
Zhiguang Cao, Hongliang Guo, Jie Zhang
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Akshay Rao, Zhiguang Cao, Felix Klanner
A Simulation Environment for Evaluation of Routing Algorithms for Improvement of Electromobility Related Services. IEEE Intell. Transp. Syst. Mag. 10 (1) (2018)

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Publication Activity (10 Years)

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Zhiguang Cao