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2020 – today
- 2024
- [j46]Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao:
Cooperative trucks and drones for rural last-mile delivery with steep roads. Comput. Ind. Eng. 187: 109849 (2024) - [j45]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: 106736 (2024) - [j44]Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu, Jianhua Xiao:
Efficient Neural Collaborative Search for Pickup and Delivery Problems. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11019-11034 (2024) - [j43]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): 1457-1468 (2024) - [j42]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): 10190-10205 (2024) - [j41]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): 3215-3228 (2024) - [j40]Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee:
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15279-15291 (2024) - [j39]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): 4247-4259 (2024) - [c39]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: 20284-20292 - [c38]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: 1956-1965 - [c37]Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang:
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR 2024 - [c36]Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. ICML 2024 - [c35]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. ICML 2024 - [c34]Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu:
Cross-Problem Learning for Solving Vehicle Routing Problems. IJCAI 2024: 6958-6966 - [c33]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: 884-895 - [i33]Haoran Ye, Jiarui Wang, Zhiguang Cao, Guojie Song:
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. CoRR abs/2402.01145 (2024) - [i32]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 abs/2402.17606 (2024) - [i31]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 abs/2403.01131 (2024) - [i30]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 abs/2403.02131 (2024) - [i29]Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu:
Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR abs/2404.11677 (2024) - [i28]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 abs/2405.01029 (2024) - [i27]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR abs/2405.11198 (2024) - [i26]Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee:
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. CoRR abs/2408.03585 (2024) - [i25]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen:
Collaboration! Towards Robust Neural Methods for Routing Problems. CoRR abs/2410.04968 (2024) - [i24]Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Learning to Handle Complex Constraints for Vehicle Routing Problems. CoRR abs/2410.21066 (2024) - 2023
- [j38]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: 110025 (2023) - [j37]Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li:
Instance-specific algorithm configuration via unsupervised deep graph clustering. Eng. Appl. Artif. Intell. 125: 106740 (2023) - [j36]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: 126434 (2023) - [j35]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): 2370-2380 (2023) - [j34]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): 2864-2875 (2023) - [j33]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): 1600-1610 (2023) - [j32]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): 1325-1336 (2023) - [j31]Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang:
Neural Airport Ground Handling. IEEE Trans. Intell. Transp. Syst. 24(12): 15652-15666 (2023) - [j30]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): 9769-9782 (2023) - [j29]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): 5732-5746 (2023) - [c32]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML 2023: 42769-42789 - [c31]Yining Ma, Zhiguang Cao, Yeow Meng Chee:
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. NeurIPS 2023 - [c30]Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen:
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. NeurIPS 2023 - [c29]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. NeurIPS 2023 - [c28]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang:
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS 2023 - [c27]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 - [c26]Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li:
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization. NeurIPS 2023 - [c25]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Multi-view graph contrastive learning for solving vehicle routing problems. UAI 2023: 984-994 - [i23]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen:
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR abs/2302.13797 (2023) - [i22]Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang:
Neural Airport Ground Handling. CoRR abs/2303.02442 (2023) - [i21]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR abs/2305.19587 (2023) - [i20]Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li:
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization. CoRR abs/2309.14032 (2023) - [i19]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 abs/2310.08252 (2023) - [i18]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. CoRR abs/2310.15195 (2023) - [i17]Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen:
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. CoRR abs/2310.15196 (2023) - [i16]Yining Ma, Zhiguang Cao, Yeow Meng Chee:
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. CoRR abs/2310.18264 (2023) - [i15]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 abs/2312.08224 (2023) - 2022
- [j28]Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim:
Learning variable ordering heuristics for solving Constraint Satisfaction Problems. Eng. Appl. Artif. Intell. 109: 104603 (2022) - [j27]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: 387-410 (2022) - [j26]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): 13572-13585 (2022) - [j25]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): 2306-2315 (2022) - [j24]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): 11575-11590 (2022) - [j23]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): 5057-5069 (2022) - [c24]Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. AAAI 2022: 9786-9794 - [c23]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR 2022 - [c22]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: 4776-4784 - [c21]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: 2771-2779 - [c20]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 - [c19]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin:
Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS 2022 - [i14]Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. CoRR abs/2202.07241 (2022) - [i13]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 abs/2204.11399 (2022) - [i12]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 abs/2209.06094 (2022) - [i11]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 abs/2210.07686 (2022) - [i10]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 abs/2211.10936 (2022) - 2021
- [j22]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: 113833 (2021) - [j21]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: 107378 (2021) - [j20]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: 100767 (2021) - [j19]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): 179-188 (2021) - [j18]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics 17(7): 4861-4871 (2021) - [j17]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): 4716-4726 (2021) - [j16]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): 6353-6364 (2021) - [c18]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI 2021: 12042-12049 - [c17]Yuan Jiang, Zhiguang Cao, Jie Zhang:
Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. AAMAS 2021: 1548-1550 - [c16]Rajarshi Bardhan, Chi Xu, Zhiguang Cao, Puay Siew Tan:
An Iterative Scheme for Hierarchical Production Planning in Semiconductor Wafer Fabrication. IEEM 2021: 673-677 - [c15]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: 7472-7483 - [c14]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: 11096-11107 - [c13]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS 2021: 30075-30087 - [i9]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 abs/2110.02544 (2021) - [i8]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 abs/2110.02629 (2021) - [i7]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 abs/2110.02634 (2021) - [i6]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 abs/2110.07983 (2021) - [i5]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. CoRR abs/2111.03466 (2021) - 2020
- [j15]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): 10773-10781 (2020) - [j14]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): 78-91 (2020) - [j13]Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng:
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107: 107499 (2020) - [j12]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): 2424-2436 (2020) - [c12]Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang:
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. AAAI 2020: 7095-7102 - [c11]Jiawen Kang, Zehui Xiong, Dusit Niyato, Zhiguang Cao, Amir Leshem:
Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach. CCNC 2020: 1-6 - [c10]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 - [i4]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 abs/2010.12367 (2020) - [i3]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR abs/2012.10638 (2020)
2010 – 2019
- 2019
- [j11]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): 904-916 (2019) - [j10]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: 182-196 (2019) - [j9]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: 385-427 (2019) - [j8]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): 2714-2724 (2019) - [c9]Mareike Hedderich, Ulrich Fastenrath, Zhiguang Cao, Michael G. H. Bell, Klaus Bogenberger:
An Integrated Approach for a Universal Routing Algorithm. ITSC 2019: 3088-3093 - [i2]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR abs/1912.05784 (2019) - [i1]Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. CoRR abs/1912.10762 (2019) - 2018
- [j7]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): 133-144 (2018) - [j6]Zhenghua Chen, Le Zhang, Zhiguang Cao, Jing Guo:
Distilling the Knowledge From Handcrafted Features for Human Activity Recognition. IEEE Trans. Ind. Informatics 14(10): 4334-4342 (2018) - [j5]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): 25:1-25:21 (2018) - [c8]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: 315-320 - [c7]Tie Li, Lili Li, Zhiguang Cao, Ting Zhang:
Flexible Integrated Sensor Array for Pressure, Humidity and Temperature Sensing*. CBS 2018: 515-519 - 2017
- [j4]Hongliang Guo, Zhiguang Cao, Madhavan Seshadri, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability. IEEE Trans. Emerg. Top. Comput. Intell. 1(2): 112-124 (2017) - [j3]Zhiguang Cao, Siwei Jiang, Jie Zhang, Hongliang Guo:
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion. IEEE Trans. Intell. Transp. Syst. 18(7): 1958-1973 (2017) - [c6]Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath:
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. AAAI 2017: 4481-4487 - [c5]Madhavan Seshadri, Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath:
Multiagent-based cooperative vehicle routing using node pressure and auctions. ITSC 2017: 1-7 - 2016
- [j2]Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach. IEEE Trans. Intell. Transp. Syst. 17(6): 1688-1702 (2016) - [j1]Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method. IEEE Trans. Veh. Technol. 65(6): 3993-4005 (2016) - [c4]Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath:
Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time. AAAI 2016: 3814-3820 - 2014
- [c3]Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
A data-driven method for stochastic shortest path problem. ITSC 2014: 1045-1052 - [c2]Hongliang Guo, Zhiguang Cao, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Routing multiple cars in large scale networks: Minimizing road network breakdown probability. ITSC 2014: 2180-2187 - [c1]Zhiguang Cao, Qin Li, Hoon Wei Lim, Jie Zhang:
A multi-hop reputation announcement scheme for VANETs. SOLI 2014: 238-243
Coauthor Index
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:27 CET by the dblp team
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