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ORCIDWen Song 0004
Person information
- affiliation: Shandong University, Jinan, Shandong, China
Other persons with the same name
- Wen Song — disambiguation page
- Wen Song 0001
![[0000-0001-6748-7333]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6748-7333")
— Harbin Normal University, Harbin, China - Wen Song 0002 — Beijing University of Civil Engineering and Architecture, Beijing, China
- Wen Song 0003 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
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2020 – today
- 2025
[j29]Zhizheng Zhang, Wen Song, Qiong Wu, Wenxu Sun, Qiqiang Li, Lei Jia:
A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction. Eng. Appl. Artif. Intell. 141: 109815 (2025)- [j28]Zhizheng Zhang, Hui Gao, Wenxu Sun, Wen Song, Qiqiang Li:
Multivariate time series generation based on dual-channel Transformer conditional GAN for industrial remaining useful life prediction. Knowl. Based Syst. 308: 112749 (2025) - [j27]Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang:
Solving two-stage stochastic integer programs via representation learning. Neural Networks 188: 107446 (2025) - [j26]Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu:
Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4677-4689 (2025) - [c28]Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang:
Visual-Enhanced Multimodal Framework for Flexible Job Shop Scheduling Problem. ACM Multimedia 2025: 2496-2505 - [i21]Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Jie Zhang:
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization. CoRR abs/2505.20881 (2025) - 2024
- [j25]Xin Jin, Nan Mi, Wen Song, Qiqiang Li:
Scheduling of twin automated stacking cranes based on Deep Reinforcement Learning. Comput. Ind. Eng. 191: 110104 (2024) - [j24]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) - [j23]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) - [c27]Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang:
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR 2024 - [c26]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 - [c25]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 - [c24]Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan:
MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. KDD 2024: 5741-5751 - [c23]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen:
Collaboration! Towards Robust Neural Methods for Routing Problems. NeurIPS 2024 - [c22]Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Learning to Handle Complex Constraints for Vehicle Routing Problems. NeurIPS 2024 - [c21]Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun:
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem. UAI 2024: 4192-4208 - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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
- [j22]Xin Jin, Zhentang Duan, Wen Song, Qiqiang Li:
Container stacking optimization based on Deep Reinforcement Learning. Eng. Appl. Artif. Intell. 123(Part C): 106508 (2023) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [c20]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML 2023: 42769-42789 - [c19]Xinjie Liang, Wen Song, Pengfei Wei:
Dynamic Job Shop Scheduling via Deep Reinforcement Learning. ICTAI 2023: 369-376 - [c18]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang:
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS 2023 - [i15]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) - [i14]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR abs/2305.19587 (2023) - 2022
- [j17]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) - [j16]Zhonghao Zhang, Qiqiang Li, Wen Song, Pengfei Wei, Jing Guo:
A novel concavity based method for automatic segmentation of touching cells in microfluidic chips. Expert Syst. Appl. 202: 117432 (2022) - [j15]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) - [j14]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) - [j13]Luhao Wang, Yumin Zhang, Wen Song, Qiqiang Li:
Stochastic Cooperative Bidding Strategy for Multiple Microgrids With Peer-to-Peer Energy Trading. IEEE Trans. Ind. Informatics 18(3): 1447-1457 (2022) - [j12]Zhizheng Zhang, Wen Song, Qiqiang Li:
Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j11]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) - [j10]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) - [c17]Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma:
Dynamic Transfer Gaussian Process Regression. CIKM 2022: 2118-2127 - [c16]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR 2022 - [c15]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 - [c14]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin:
Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS 2022 - [c13]Xiaohan Zhao, Wen Song, Qiqiang Li, Huadong Shi, Zhichao Kang, Chunmei Zhang:
A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling. SSCI 2022: 1226-1234 - [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]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
- [j9]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) - [j8]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) - [j7]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) - [j6]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) - [c12]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI 2021: 12042-12049 - [c11]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 - [c10]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 - [c9]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS 2021: 30075-30087 - [i10]Zhizheng Zhang, Wen Song, Qiqiang Li:
Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction. CoRR abs/2106.15842 (2021) - [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
- [j5]Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng:
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107: 107499 (2020) - [j4]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) - [c8]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
- [j3]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) - [c7]Sa Gao, Chunyang Chen, Zhenchang Xing, Yukun Ma, Wen Song, Shang-Wei Lin:
A Neural Model for Method Name Generation from Functional Description. SANER 2019: 411-421 - [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
- [j2]Wen Song, Hui Xi, Donghun Kang, Jie Zhang:
An agent-based simulation system for multi-project scheduling under uncertainty. Simul. Model. Pract. Theory 86: 187-203 (2018) - [c6]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. AAAI 2018: 6278-6285 - 2017
- [j1]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
A multi-unit combinatorial auction based approach for decentralized multi-project scheduling. Auton. Agents Multi Agent Syst. 31(6): 1548-1577 (2017) - [c5]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. AAAI 2017: 4985-4986 - [c4]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Proactive Project Scheduling with Time-dependent Workability Uncertainty. AAMAS 2017: 221-229 - [c3]Donghun Kang, Zhenchao C. Bing, Wen Song, Zehong Hu, Shuo Chen, Jie Zhang, Hui Xi:
Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models. AAMAS 2017: 1793-1795 - 2016
- [c2]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction. AAMAS 2016: 836-844 - 2013
- [c1]Fan Yang, Tao Liang, Wen Song, Qiqiang Li:
A supervised self-organizing approach for large-scale multistage batch scheduling problems. ICCA 2013: 170-175
Coauthor Index
[j27] [j26] [c28] [j24] [j23] [c27] [c26] [c25] [c23] [c22] [c21] [i20] [i19] [i18] [i17] [i16] [j21] [j20] [j19] [j18] [c20] [c18] [i15] [i14] [j17] [j15] [j14] [j11] [j10] [c16] [c15] [c14] [i13] [i12] [i11] [j9] [j8] [j7] [j6] [c12] [c11] [c10] [c9] [i9] [i8] [i7] [i6] [i5] [j5] [j4] [c8] [i4] [i3] [j3] [i2] [i1]
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