Zhiguang Cao

Most-cited papers

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang +2 more
2020Neural Information Processing Systems503 citations
Semantic Scholar
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems
Kaizhou Gao, Zhiguang Cao, Le Zhang, Zheng-Hua Chen +2 more
2019IEEE/CAA Journal of Automatica Sinica475 citations Open access
Semantic Scholar
WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM
Zheng-Hua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao +1 more
2019IEEE Transactions on Mobile Computing471 citations
Semantic Scholar
Learning Improvement Heuristics for Solving Routing Problems
Yao-Xin Wu, Wen Song, Zhiguang Cao, Jie Zhang +1 more
2019IEEE Transactions on Neural Networks and Learning Systems446 citations Open access
Semantic Scholar
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning
Wen Song, Xin-Yang Chen, Qi-Qiang Li, Zhiguang Cao
2023IEEE Transactions on Industrial Informatics442 citations Open access
Semantic Scholar
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020AAAI Conference on Artificial Intelligence239 citations Open access
Semantic Scholar
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song +3 more
2021Neural Information Processing Systems231 citations
Semantic Scholar
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin, Wen Song, Zhiguang Cao, J. Zhang
2021Neural Information Processing Systems203 citations
Semantic Scholar
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao +3 more
2021IEEE Transactions on Cybernetics190 citations Open access
Semantic Scholar
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion
Zhiguang Cao, Si-Wei Jiang, Jie Zhang, Hongliang Guo
2017IEEE transactions on intelligent transportation systems (Print)174 citations Open access
Semantic Scholar
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning
Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim +2 more
2021IEEE transactions on intelligent transportation systems (Print)150 citations Open access
Semantic Scholar
Distilling the Knowledge From Handcrafted Features for Human Activity Recognition
Zheng-Hua Chen, Le Zhang, Zhiguang Cao, Jing Guo
2018IEEE Transactions on Industrial Informatics134 citations Open access
Semantic Scholar
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao +3 more
2022Neural Information Processing Systems117 citations Open access
Semantic Scholar
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Jianan Zhou, Yao-Xin Wu, Wen Song, Zhiguang Cao +1 more
2023International Conference on Machine Learning113 citations Open access
Semantic Scholar
Step-Wise Deep Learning Models for Solving Routing Problems
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020IEEE Transactions on Industrial Informatics109 citations Open access
Semantic Scholar
DL-DRL: A Double-Level Deep Reinforcement Learning Approach for Large-Scale Task Scheduling of Multi-UAV
Xiao Mao, Guohua Wu, Mingfeng Fan, Zhiguang Cao +1 more
2022IEEE Transactions on Automation Science and Engineering105 citations Open access
Semantic Scholar
Detecting the shuttlecock for a badminton robot: A YOLO based approach
Zhiguang Cao, Tingbo Liao, Wen Song, Zheng-Hua Chen +1 more
2021Expert systems with applications91 citations
Semantic Scholar
Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach
Zhiguang Cao, Hongliang Guo, Jie Zhang, D. Niyato +1 more
2016IEEE transactions on intelligent transportation systems (Print)88 citations
Semantic Scholar
A review on learning to solve combinatorial optimisation problems in manufacturing
Cong Zhang, Yao-Xin Wu, Yining Ma, Wen Song +3 more
2023IET Collaborative Intelligent Manufacturing81 citations Open access
Semantic Scholar
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests
Le Zhang, Zheng-Hua Chen, Wei Cui, Bing Li +3 more
2020IEEE Internet of Things Journal78 citations Open access
Semantic Scholar
Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls
Conghui Wang, Zhiguang Cao, Yao-Xin Wu, Long Teng +1 more
2024IEEE Transactions on Neural Networks and Learning Systems77 citations Open access
Semantic Scholar
Learning Large Neighborhood Search Policy for Integer Programming
Yao-Xin Wu, Wen Song, Zhiguang Cao, J. Zhang
2021Neural Information Processing Systems72 citations
Semantic Scholar
Learning to Solve Routing Problems via Distributionally Robust Optimization
Yuan Jiang, Yao-Xin Wu, Zhiguang Cao, J. Zhang
2022AAAI Conference on Artificial Intelligence68 citations Open access
Semantic Scholar
Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming
Yuan Jiang, Zhiguang Cao, Jie Zhang
2021IEEE Transactions on Cybernetics64 citations Open access
Semantic Scholar
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao +3 more
2020IEEE Transactions on Vehicular Technology62 citations Open access
Semantic Scholar
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song +3 more
2022International Joint Conference on Artificial Intelligence61 citations Open access
Semantic Scholar
Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations
Mingfeng Fan, Yao-Xin Wu, T. Liao, Zhiguang Cao +3 more
2023IEEE Transactions on Vehicular Technology59 citations
Semantic Scholar
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism
Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang
2020AAAI Conference on Artificial Intelligence58 citations Open access
Semantic Scholar
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
Jianan Zhou, Yao-Xin Wu, Zhiguang Cao, Wen Song +2 more
2023IEEE Transactions on Knowledge and Data Engineering57 citations Open access
Semantic Scholar
Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method
Zhiguang Cao, Hongliang Guo, Jie Zhang, D. Niyato +1 more
2016IEEE Transactions on Vehicular Technology57 citations
Semantic Scholar
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning
Rong-Kai Zhang, Cong Zhang, Zhiguang Cao, Wen Song +4 more
2022IEEE transactions on intelligent transportation systems (Print)54 citations Open access
Semantic Scholar
Cost-sensitive deep forest for price prediction
Chao Ma, Zhen-Bing Liu, Zhiguang Cao, Wen Song +2 more
2020Pattern Recognition52 citations Open access
Semantic Scholar
Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival
Zebin Chen, Xiaolin Xiao, Yue-jiao Gong, Jun Fang +3 more
2022Knowledge Discovery and Data Mining51 citations
Semantic Scholar
An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand
Yunyun Niu, Detian Kong, Rong Wen, Zhiguang Cao +1 more
2021Knowledge-Based Systems48 citations
Semantic Scholar
First train timetabling and bus service bridging in intermodal bus-and-train transit networks
Liu-Jiang Kang, Hao Li, Hui-Jun Sun, Jian-Jun Wu +2 more
2021Transportation Research Part B: Methodological46 citations Open access
Semantic Scholar
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method
Zhiguang Cao, Hongliang Guo, Jie Zhang, F. Oliehoek +1 more
2017AAAI Conference on Artificial Intelligence46 citations Open access
Semantic Scholar
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
Yuan Jiang, Zhiguang Cao, Yao-Xin Wu, Wen Song +1 more
2023Neural Information Processing Systems45 citations Open access
Semantic Scholar
Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time
Zhiguang Cao, Hongliang Guo, Jie Zhang, U. Fastenrath
2016AAAI Conference on Artificial Intelligence43 citations Open access
Semantic Scholar
Cross-Problem Learning for Solving Vehicle Routing Problems
Zhuo-Yi Lin, Yao-Xin Wu, Bang-Jian Zhou, Zhiguang Cao +3 more
2024International Joint Conference on Artificial Intelligence41 citations
Semantic Scholar
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning
Qiao Li, S. Garg, Jiang-Tian Nie, Xiang Li +3 more
2021IEEE transactions on intelligent transportation systems (Print)40 citations
Semantic Scholar
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands
Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao +3 more
2021Swarm and Evolutionary Computation40 citations Open access
Semantic Scholar
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems
Jingwen Li, Yining Ma, Zhiguang Cao, Yao-Xin Wu +3 more
2023IEEE Transactions on Neural Networks and Learning Systems39 citations Open access
Semantic Scholar
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems
Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu +1 more
2019Engineering applications of artificial intelligence39 citations Open access
Semantic Scholar
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time
Zhiguang Cao, Hongliang Guo, Jie Zhang
2017ACM Transactions on Intelligent Systems and Technology38 citations Open access
Semantic Scholar
Neural Airport Ground Handling
Yao-Xin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang +2 more
2023IEEE transactions on intelligent transportation systems (Print)37 citations Open access
Semantic Scholar
A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls
Jianhua Xiao, Jingguo Du, Zhiguang Cao, Xing-Yi Zhang +1 more
2023Applied Soft Computing37 citations Open access
Semantic Scholar
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Cong Zhang, Zhiguang Cao, Wen Song, Yao-Xin Wu +1 more
2022International Conference on Learning Representations35 citations
Semantic Scholar
Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem
Yunyun Niu, Jie Shao, Jianhua Xiao, Wen Song +1 more
2022Information Sciences34 citations Open access
Semantic Scholar
Review of shared online hailing and autonomous taxi services
Wei-Liang Zeng, Miaosen Wu, Peng Chen, Zhiguang Cao +1 more
2022Transportmetrica B: Transport Dynamics33 citations
Semantic Scholar
GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks
Hongliang Guo, X. Hou, Zhiguang Cao, J. Zhang
2022IEEE transactions on intelligent transportation systems (Print)27 citations Open access
Semantic Scholar