| New developments of ADMM-based interior point methods for linear programming and conic programming Q Deng, Q Feng, W Gao, D Ge, B Jiang, Y Jiang, J Liu, T Liu, C Xue, Y Ye, ... Informs Journal on Computing, 2022 | 15 | 2022 |
| Optimal Diagonal Preconditioning: Theory and Practice Z Qu, W Gao, O Hinder, Y Ye, Z Zhou Operations Research, 2022 | 12* | 2022 |
| Minibatch and momentum model-based methods for stochastic weakly convex optimization Q Deng, W Gao Advances in Neural Information Processing Systems 34, 23115-23127, 2021 | 11 | 2021 |
| Solving Linear Programs with Fast Online Learning Algorithms W Gao, D Ge, C Sun, Y Ye International Conference on Machine Learning 40, 10649-10675, 2023 | 4* | 2023 |
| OptiMUS: Scalable Optimization Modeling with (MI) LP Solvers and Large Language Models A AhmadiTeshnizi, W Gao, M Udell arXiv preprint arXiv:2402.10172, 2024 | 3* | 2024 |
| HDSDP: Software for semidefinite programming W Gao, D Ge, Y Ye arXiv preprint arXiv:2207.13862, 2022 | 3 | 2022 |
| Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching Y Chen, W Gao, D Ge, Y Ye arXiv preprint arXiv:2305.12352, 2023 | 1 | 2023 |
| Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization W Gao, Q Deng Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Decoupling Learning and Decision-Making: Breaking the Barrier in Online Resource Allocation with First-Order Methods W Gao, C Sun, C Xue, D Ge, Y Ye arXiv preprint arXiv:2402.07108, 2024 | | 2024 |
| Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity W Gao, Q Deng arXiv preprint arXiv:2401.13971, 2024 | | 2024 |
| Scalable Approximate Optimal Diagonal Preconditioning W Gao, Z Qu, M Udell, Y Ye arXiv preprint arXiv:2312.15594, 2023 | | 2023 |
