Privacy-preserving online task allocation in edge-computing-enabled massive crowdsensing P Zhou, W Chen, S Ji, H Jiang, L Yu, D Wu IEEE Internet of Things Journal 6 (5), 7773-7787, 2019 | 64 | 2019 |
Learning optimization proxies for large-scale security-constrained economic dispatch W Chen, S Park, M Tanneau, P Van Hentenryck Electric Power Systems Research 213, 108566, 2022 | 36 | 2022 |
A privacy-preserving online learning approach for incentive-based demand response in smart grid W Chen, A Zhou, P Zhou, L Gao, S Ji, D Wu IEEE Systems Journal 13 (4), 4208-4218, 2019 | 27 | 2019 |
Improving learning to branch via reinforcement learning H Sun, W Chen, H Li, L Song Learning Meets Combinatorial Algorithms Workshop at NeurIPS 2020, 2020 | 23 | 2020 |
Tree-based contextual learning for online job or candidate recommendation with big data support in professional social networks W Chen, P Zhou, S Dong, S Gong, M Hu, K Wang, D Wu IEEE Access 6, 77725-77739, 2018 | 19 | 2018 |
Compact Optimization Learning for AC Optimal Power Flow S Park, W Chen, TWK Mak, PV Hentenryck IEEE Transactions on Power Systems, 2023 | 11 | 2023 |
End-to-end feasible optimization proxies for large-scale economic dispatch W Chen, M Tanneau, P Van Hentenryck IEEE Transactions on Power Systems, 1-12, 2023 | 11 | 2023 |
Confidence-aware graph neural networks for learning reliability assessment commitments S Park, W Chen, D Han, M Tanneau, P Van Hentenryck IEEE Transactions on Power Systems, 2023 | 7 | 2023 |
Risk-aware control and optimization for high-renewable power grids N Barry, M Chatzos, W Chen, D Han, C Huang, R Joseph, M Klamkin, ... arXiv preprint arXiv:2204.00950, 2022 | 5 | 2022 |
Two-stage learning for the flexible job shop scheduling problem W Chen, R Khir, P Van Hentenryck arXiv preprint arXiv:2301.09703, 2023 | 4 | 2023 |
Reinforcement learning from optimization proxy for ride-hailing vehicle relocation E Yuan, W Chen, P Van Hentenryck Journal of Artificial Intelligence Research 75, 985-1002, 2022 | 4 | 2022 |
Just-in-time learning for operational risk assessment in power grids O Stover, P Karve, S Mahadevan, W Chen, H Zhao, M Tanneau, ... arXiv preprint arXiv:2209.12762, 2022 | 2 | 2022 |
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling J Lu, T Ye, W Chen, P Van Hentenryck arXiv preprint arXiv:2401.03692, 2024 | | 2024 |
Real-Time Risk Analysis with Optimization Proxies W Chen, M Tanneau, P Van Hentenryck arXiv preprint arXiv:2310.00709, 2023 | | 2023 |
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks R Ojha, W Chen, H Zhang, R Khir, A Erera, P Van Hentenryck arXiv preprint arXiv:2307.04050, 2023 | | 2023 |