Wen Song

According to our database, Wen Song authored at least 60 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization.

Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Jie Zhang

CoRR, May, 2025

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems.

Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Solving two-stage stochastic integer programs via representation learning.

Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang

Neural Networks, 2025

Multivariate time series generation based on dual-channel Transformer conditional GAN for industrial remaining useful life prediction.

Zhizheng Zhang, Hui Gao, Wenxu Sun, Wen Song, Qiqiang Li

Knowl. Based Syst., 2025

A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction.

Zhizheng Zhang, Wen Song, Qiong Wu, Wenxu Sun, Qiqiang Li, Lei Jia

Eng. Appl. Artif. Intell., 2025

2024

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.

Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning.

Wen Song, Nan Mi, Qiqiang Li, Jing Zhuang, Zhiguang Cao

IEEE Trans Autom. Sci. Eng., April, 2024

Scheduling of twin automated stacking cranes based on Deep Reinforcement Learning.

Xin Jin, Nan Mi, Wen Song, Qiqiang Li

Comput. Ind. Eng., 2024

Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem.

Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Learning to Handle Complex Constraints for Vehicle Routing Problems.

Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Collaboration! Towards Robust Neural Methods for Routing Problems.

Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.

Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Cross-Problem Learning for Solving Vehicle Routing Problems.

Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling.

Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.

Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen

IEEE Trans. Knowl. Data Eng., September, 2023

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning.

Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels

IEEE Trans. Intell. Transp. Syst., January, 2023

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning.

Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao

IEEE Trans. Ind. Informatics, 2023

Instance-specific algorithm configuration via unsupervised deep graph clustering.

Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li

Eng. Appl. Artif. Intell., 2023

Container stacking optimization based on Deep Reinforcement Learning.

Xin Jin, Zhentang Duan, Wen Song, Qiqiang Li

Eng. Appl. Artif. Intell., 2023

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.

Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Job Shop Scheduling via Deep Reinforcement Learning.

Xinjie Liang, Wen Song, Pengfei Wei

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Improvement Heuristics for Solving Routing Problems.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

IEEE Trans. Neural Networks Learn. Syst., 2022

Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning.

Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

IEEE Trans. Intell. Transp. Syst., 2022

Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction.

Zhizheng Zhang, Wen Song, Qiqiang Li

IEEE Trans. Instrum. Meas., 2022

Stochastic Cooperative Bidding Strategy for Multiple Microgrids With Peer-to-Peer Energy Trading.

Luhao Wang, Yumin Zhang, Wen Song, Qiqiang Li

IEEE Trans. Ind. Informatics, 2022

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.

Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

IEEE Trans. Cybern., 2022

Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem.

Yunyun Niu, Jie Shao, Jianhua Xiao, Wen Song, Zhiguang Cao

Inf. Sci., 2022

A novel concavity based method for automatic segmentation of touching cells in microfluidic chips.

Zhonghao Zhang, Qiqiang Li, Wen Song, Pengfei Wei, Jing Guo

Expert Syst. Appl., 2022

Learning variable ordering heuristics for solving Constraint Satisfaction Problems.

Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim

Eng. Appl. Artif. Intell., 2022

Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning.

Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu

CoRR, 2022

A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling.

Xiaohan Zhao, Wen Song, Qiqiang Li, Huadong Shi, Zhichao Kang, Chunmei Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Graph Learning Assisted Multi-Objective Integer Programming.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Neural Neighborhood Search for Pickup and Delivery Problems.

Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Dynamic Transfer Gaussian Process Regression.

Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach.

Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu

IEEE Trans. Intell. Transp. Syst., 2021

Step-Wise Deep Learning Models for Solving Routing Problems.

Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

IEEE Trans. Ind. Informatics, 2021

MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands.

Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao, Jianhua Xiao, Wen Song, Fangwei Zhang

Swarm Evol. Comput., 2021

Detecting the shuttlecock for a badminton robot: A YOLO based approach.

Zhiguang Cao, Tingbo Liao, Wen Song, Zhenghua Chen, Chongshou Li

Expert Syst. Appl., 2021

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem.

Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Large Neighborhood Search Policy for Integer Programming.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.

Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems.

Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation.

Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang

IEEE Trans. Veh. Technol., 2020

Cost-sensitive deep forest for price prediction.

Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng

Pattern Recognit., 2020

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning.

Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty.

Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi

J. Artif. Intell. Res., 2019

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems.

Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

CoRR, 2019

Learning Improvement Heuristics for Solving the Travelling Salesman Problem.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

CoRR, 2019

A Neural Model for Method Name Generation from Functional Description.

Sa Gao, Chunyang Chen, Zhenchang Xing, Yukun Ma, Wen Song, Shang-Wei Lin

Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

2018

An agent-based simulation system for multi-project scheduling under uncertainty.

Wen Song, Hui Xi, Donghun Kang, Jie Zhang

Simul. Model. Pract. Theory, 2018

Risk-Aware Proactive Scheduling via Conditional Value-at-Risk.

Wen Song, Donghun Kang, Jie Zhang, Hui Xi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A multi-unit combinatorial auction based approach for decentralized multi-project scheduling.

Wen Song, Donghun Kang, Jie Zhang, Hui Xi

Auton. Agents Multi Agent Syst., 2017

Proactive Project Scheduling with Time-dependent Workability Uncertainty.

Wen Song, Donghun Kang, Jie Zhang, Hui Xi

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models.

Donghun Kang, Zhenchao C. Bing, Wen Song, Zehong Hu, Shuo Chen, Jie Zhang, Hui Xi

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty.

Wen Song, Donghun Kang, Jie Zhang, Hui Xi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction.

Wen Song, Donghun Kang, Jie Zhang, Hui Xi

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2013

A supervised self-organizing approach for large-scale multistage batch scheduling problems.

Fan Yang, Tao Liang, Wen Song, Qiqiang Li

Proceedings of the 10th IEEE International Conference on Control and Automation, 2013