| The machine learning for combinatorial optimization competition (ml4co): Results and insights M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ... NeurIPS 2021 competitions and demonstrations track, 220-231, 2022 | 41 | 2022 |
| A gnn-guided predict-and-search framework for mixed-integer linear programming Q Han, L Yang, Q Chen, X Zhou, D Zhang, A Wang, R Sun, X Luo arXiv preprint arXiv:2302.05636, 2023 | 29 | 2023 |
| PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming B Li, L Yang, Y Chen, S Wang, Q Chen, H Mao, Y Ma, A Wang, T Ding, ... arXiv preprint arXiv:2406.01908, 2024 | 4 | 2024 |
| SymILO: A symmetry-aware learning framework for integer linear optimization Q Chen, T Zhang, L Yang, Q Han, A Wang, R Sun, X Luo, TH Chang arXiv preprint arXiv:2409.19678, 2024 | 1 | 2024 |
| Efficient primal heuristics for mixed-integer linear programs A Wang, L Yang, S Lai, X Luo, X Zhou, H Huang, S Shao, Y Zhu, D Zhang, ... arXiv preprint arXiv:2202.02725, 2022 | 1 | 2022 |
| An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling L Yang, B Li, T Ding, J Wu, A Wang, Y Wang, J Tang, R Sun, X Luo arXiv preprint arXiv:2412.01051, 2024 | | 2024 |
| On the Power of Small-size Graph Neural Networks for Linear Programming Q Li, T Ding, L Yang, M Ouyang, Q Shi, R Sun The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| A Symmetry-Aware Learning Approach for Solving Mixed-Integer Linear Programs Q Chen, T Zhang, L Yang, Q Han, A Wang, R Sun, X Luo, TH Chang | | |
Ruoyu SunChinese University of Hong Kong (Shenzhen), Shenzhen Institue of Big DataGeverifieerd e-mailadres voor cuhk.edu.cn
