Wen Song - RankMe

81 papers A* 19A 6B 1Journal 53Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A General Neural Backbone for Mixed-Integer Linear Optimization via Dual Attention. CoRR Peixin Huang, Yaoxin Wu, Yining Ma, Cathy Wu, Wen Song, Wei Zhang
2026	J	`jnl`	RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States. CoRR Xiangjie Xiao, Cong Zhang, Wen Song, Zhiguang Cao
2026	J	`jnl`	Towards Efficient Constraint Handling in Neural Solvers for Routing Problems. CoRR Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu
2025	J	`jnl`	A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction. Eng. Appl. Artif. Intell. Zhizheng Zhang, Wen Song, Qiong Wu, Wenxu Sun, Qiqiang Li, Lei Jia
2025	J	`jnl`	Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu
2025	J	`jnl`	Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization. CoRR Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Jie Zhang
2025	J	`jnl`	Multivariate time series generation based on dual-channel Transformer conditional GAN for industrial remaining useful life prediction. Knowl. Based Syst. Zhizheng Zhang, Hui Gao, Wenxu Sun, Wen Song, Qiqiang Li
2025	J	`jnl`	Solving two-stage stochastic integer programs via representation learning. Neural Networks Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang
2025	A*	`conf`	Visual-Enhanced Multimodal Framework for Flexible Job Shop Scheduling Problem. ACM Multimedia Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang
2024	A*	`conf`	Collaboration! Towards Robust Neural Methods for Routing Problems. NeurIPS Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024	J	`jnl`	Collaboration! Towards Robust Neural Methods for Routing Problems. CoRR Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024	A*	`conf`	Cross-Problem Learning for Solving Vehicle Routing Problems. IJCAI Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024	J	`jnl`	Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024	A*	`conf`	Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang
2024	J	`jnl`	Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee
2024	A	`conf`	Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem. UAI Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
2024	J	`jnl`	Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem. CoRR Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
2024	A*	`conf`	Learning to Handle Complex Constraints for Vehicle Routing Problems. NeurIPS Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024	J	`jnl`	Learning to Handle Complex Constraints for Vehicle Routing Problems. CoRR Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024	A*	`conf`	MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. KDD Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan
2024	A*	`conf`	MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. ICML Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024	J	`jnl`	MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. CoRR Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024	J	`jnl`	Scheduling of twin automated stacking cranes based on Deep Reinforcement Learning. Comput. Ind. Eng. Xin Jin, Nan Mi, Wen Song, Qiqiang Li
2024	J	`jnl`	Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning. IEEE Trans Autom. Sci. Eng. Wen Song, Nan Mi, Qiqiang Li, Jing Zhuang, Zhiguang Cao
2023	J	`jnl`	Container stacking optimization based on Deep Reinforcement Learning. Eng. Appl. Artif. Intell. Xin Jin, Zhentang Duan, Wen Song, Qiqiang Li
2023	B	`conf`	Dynamic Job Shop Scheduling via Deep Reinforcement Learning. ICTAI Xinjie Liang, Wen Song, Pengfei Wei
2023	A*	`conf`	Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang
2023	J	`jnl`	Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. IEEE Trans. Ind. Informatics Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao
2023	J	`jnl`	Instance-specific algorithm configuration via unsupervised deep graph clustering. Eng. Appl. Artif. Intell. Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li
2023	J	`jnl`	Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023	J	`jnl`	Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. IEEE Trans. Knowl. Data Eng. Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023	J	`jnl`	Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2023	A*	`conf`	Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2023	J	`jnl`	Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2022	—	`conf`	A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling. SSCI Xiaohan Zhao, Wen Song, Qiqiang Li, Huadong Shi, Zhichao Kang, Chunmei Zhang
2022	J	`jnl`	A novel concavity based method for automatic segmentation of touching cells in microfluidic chips. Expert Syst. Appl. Zhonghao Zhang, Qiqiang Li, Wen Song, Pengfei Wei, Jing Guo
2022	J	`jnl`	Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2022	J	`jnl`	Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. Zhizheng Zhang, Wen Song, Qiqiang Li
2022	A	`conf`	Dynamic Transfer Gaussian Process Regression. CIKM Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma
2022	A*	`conf`	Efficient Neural Neighborhood Search for Pickup and Delivery Problems. IJCAI Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
2022	J	`jnl`	Efficient Neural Neighborhood Search for Pickup and Delivery Problems. CoRR Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
2022	A*	`conf`	Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
2022	J	`jnl`	Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2022	J	`jnl`	Learning Improvement Heuristics for Solving Routing Problems. IEEE Trans. Neural Networks Learn. Syst. Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2022	A*	`conf`	Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2022	J	`jnl`	Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning. CoRR Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2022	J	`jnl`	Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2022	J	`jnl`	Learning variable ordering heuristics for solving Constraint Satisfaction Problems. Eng. Appl. Artif. Intell. Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim
2022	J	`jnl`	Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem. Inf. Sci. Yunyun Niu, Jie Shao, Jianhua Xiao, Wen Song, Zhiguang Cao
2022	J	`jnl`	Stochastic Cooperative Bidding Strategy for Multiple Microgrids With Peer-to-Peer Energy Trading. IEEE Trans. Ind. Informatics Luhao Wang, Yumin Zhang, Wen Song, Qiqiang Li
2021	J	`jnl`	Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. CoRR Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2021	J	`jnl`	Detecting the shuttlecock for a badminton robot: A YOLO based approach. Expert Syst. Appl. Zhiguang Cao, Tingbo Liao, Wen Song, Zhenghua Chen, Chongshou Li
2021	J	`jnl`	Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction. CoRR Zhizheng Zhang, Wen Song, Qiqiang Li
2021	J	`jnl`	Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. CoRR Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2021	J	`jnl`	Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach. IEEE Trans. Intell. Transp. Syst. Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu
2021	A*	`conf`	Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2021	J	`jnl`	Learning Large Neighborhood Search Policy for Integer Programming. CoRR Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2021	A*	`conf`	Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. NeurIPS Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
2021	J	`jnl`	Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. CoRR Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
2021	J	`jnl`	MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands. Swarm Evol. Comput. Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao, Jianhua Xiao, Wen Song, Fangwei Zhang
2021	A*	`conf`	Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021	A*	`conf`	NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. NeurIPS Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021	J	`jnl`	NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. CoRR Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021	J	`jnl`	Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020	J	`jnl`	Cost-sensitive deep forest for price prediction. Pattern Recognit. Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng
2020	A*	`conf`	Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. NeurIPS Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2020	J	`jnl`	Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. CoRR Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2020	J	`jnl`	Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020	J	`jnl`	Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. IEEE Trans. Veh. Technol. Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang
2019	A	`conf`	A Neural Model for Method Name Generation from Functional Description. SANER Sa Gao, Chunyang Chen, Zhenchang Xing, Yukun Ma, Wen Song, Shang-Wei Lin
2019	J	`jnl`	A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty. J. Artif. Intell. Res. Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi
2019	J	`jnl`	Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2019	J	`jnl`	Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. CoRR Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2018	J	`jnl`	An agent-based simulation system for multi-project scheduling under uncertainty. Simul. Model. Pract. Theory Wen Song, Hui Xi, Donghun Kang, Jie Zhang
2018	A*	`conf`	Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. AAAI Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2017	A*	`conf`	A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. AAAI Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2017	J	`jnl`	A multi-unit combinatorial auction based approach for decentralized multi-project scheduling. Auton. Agents Multi Agent Syst. Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2017	A	`conf`	Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models. AAMAS Donghun Kang, Zhenchao C. Bing, Wen Song, Zehong Hu, Shuo Chen, Jie Zhang, Hui Xi
2017	A	`conf`	Proactive Project Scheduling with Time-dependent Workability Uncertainty. AAMAS Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2016	A	`conf`	Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction. AAMAS Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2013	—	`conf`	A supervised self-organizing approach for large-scale multistage batch scheduling problems. ICCA Fan Yang, Tao Liang, Wen Song, Qiqiang Li