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Efficient Neural Neighborhood Search for Pickup and Delivery Problems



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

* Accepted at IJCAI 2022 (short oral) 

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Learning Large Neighborhood Search Policy for Integer Programming



Yaoxin Wu , Wen Song , Zhiguang Cao , Jie Zhang

* 18 pages, 4 figure 

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



Liang Xin , Wen Song , Zhiguang Cao , Jie Zhang

* Accepted at NeurIPS 2021 

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



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

* This paper has been accepted at IEEE Transactions on Intelligent Transportation Systems 

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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

* This paper has been accepted at IEEE Transactions on Cybernetics 

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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

* Accepted at NeurIPS 2021 

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



Zhizheng Zhang , Wen Song , Qiqiang Li


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



Liang Xin , Wen Song , Zhiguang Cao , Jie Zhang

* Accepted by AAAI 2021 

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Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning



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


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Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems



Wen Song , Zhiguang Cao , Jie Zhang , Andrew Lim


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