Song, Wen

20 publications

NeurIPS 2024 Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

IJCAI 2024 Cross-Problem Learning for Solving Vehicle Routing Problems Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu

ICLR 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang

UAI 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

NeurIPS 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

ICML 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi

NeurIPS 2023 Ensemble-Based Deep Reinforcement Learning for Vehicle Routing Problems Under Distribution Shift Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

ICML 2023 Towards Omni-Generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

IJCAI 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

NeurIPS 2022 Graph Learning Assisted Multi-Objective Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin

ICLR 2022 Learning Scenario Representation for Solving Two-Stage Stochastic Integer Programs Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 2021 Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 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

AAAI 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 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

NeurIPS 2020 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Xu Chi

JAIR 2019 A Sampling Approach for Proactive Project Scheduling Under Generalized Time-Dependent Workability Uncertainty Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi

AAAI 2018 Risk-Aware Proactive Scheduling via Conditional Value-at-Risk Wen Song, Donghun Kang, Jie Zhang, Hui Xi

AAAI 2017 A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty Wen Song, Donghun Kang, Jie Zhang, Hui Xi

AAAI 2017 Project Scheduling in Complex Business Environments Wen Song