| Learning to dispatch for job shop scheduling via deep reinforcement learning C Zhang, W Song, Z Cao, J Zhang, PS Tan, C Xu Advances in Neural Information Processing Systems, 2020 | 416 | 2020 |
| Learning Improvement Heuristics for Solving Routing Problems Y Wu, W Song, Z Cao, J Zhang, A Lim IEEE Transactions on Neural Networks and Learning Systems, 2019 | 390 | 2019 |
| Dual-aspect self-attention based on transformer for remaining useful life prediction Z Zhang, W Song, Q Li IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 209 | 2022 |
| Flexible job-shop scheduling via graph neural network and deep reinforcement learning W Song, X Chen, Q Li, Z Cao IEEE Transactions on Industrial Informatics 19 (2), 1600-1610, 2022 | 198 | 2022 |
| Multi-decoder attention model with embedding glimpse for solving vehicle routing problems L Xin, W Song, Z Cao, J Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 12042 …, 2021 | 191 | 2021 |
| Neurolkh: Combining deep learning model with lin-kernighan-helsgaun heuristic for solving the traveling salesman problem L Xin, W Song, Z Cao, J Zhang Advances in Neural Information Processing Systems 34, 7472-7483, 2021 | 166 | 2021 |
| Learning to iteratively solve routing problems with dual-aspect collaborative transformer Y Ma, J Li, Z Cao, W Song, L Zhang, Z Chen, J Tang Advances in Neural Information Processing Systems 34, 11096-11107, 2021 | 157 | 2021 |
| Heterogeneous attentions for solving pickup and delivery problem via deep reinforcement learning J Li, L Xin, Z Cao, A Lim, W Song, J Zhang IEEE Transactions on Intelligent Transportation Systems 23 (3), 2306-2315, 2021 | 137 | 2021 |
| Detecting the shuttlecock for a badminton robot: A YOLO based approach Z Cao, T Liao, W Song, Z Chen, C Li Expert Systems with Applications 164, 113833, 2021 | 97 | 2021 |
| Step-wise deep learning models for solving routing problems L Xin, W Song, Z Cao, J Zhang IEEE Transactions on Industrial Informatics 17 (7), 4861-4871, 2020 | 97 | 2020 |
| Robust distributed optimization for energy dispatch of multi-stakeholder multiple microgrids under uncertainty L Wang, B Zhang, Q Li, W Song, G Li Applied Energy 255, 113845, 2019 | 95 | 2019 |
| Stochastic cooperative bidding strategy for multiple microgrids with peer-to-peer energy trading L Wang, Y Zhang, W Song, Q Li IEEE transactions on industrial informatics 18 (3), 1447-1457, 2021 | 72 | 2021 |
| Using reinforcement learning to minimize the probability of delay occurrence in transportation Z Cao, H Guo, W Song, K Gao, Z Chen, L Zhang, X Zhang IEEE transactions on vehicular technology 69 (3), 2424-2436, 2020 | 68 | 2020 |
| A cooperative Stackelberg game based energy management considering price discrimination and risk assessment G Li, Q Li, Y Liu, H Liu, W Song, R Ding International Journal of Electrical Power & Energy Systems 135, 107461, 2022 | 66 | 2022 |
| Cost-sensitive deep forest for price prediction C Ma, Z Liu, Z Cao, W Song, J Zhang, W Zeng Pattern Recognition 107, 107499, 2020 | 65 | 2020 |
| Towards omni-generalizable neural methods for vehicle routing problems J Zhou, Y Wu, W Song, Z Cao, J Zhang International Conference on Machine Learning, 42769-42789, 2023 | 58 | 2023 |
| Learning large neighborhood search policy for integer programming Y Wu, W Song, Z Cao, J Zhang Advances in Neural Information Processing Systems 34, 30075-30087, 2021 | 56 | 2021 |
| Efficient neural neighborhood search for pickup and delivery problems Y Ma, J Li, Z Cao, W Song, H Guo, Y Gong, YM Chee arXiv preprint arXiv:2204.11399, 2022 | 52 | 2022 |
| An agent-based simulation system for multi-project scheduling under uncertainty W Song, H Xi, D Kang, J Zhang Simulation Modelling Practice and Theory 86, 187-203, 2018 | 51 | 2018 |
| A neural model for method name generation from functional description S Gao, C Chen, Z Xing, Y Ma, W Song, SW Lin 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 49 | 2019 |
Zhiguang CaoSingapore Management UniversityVerified email at smu.edu.sg