Research
| The implicit barrier of utility maximization: An interior-point approach for market equilibria with C He, B Jiang, and Y Ye | 2025 [arXiv] [slides] |
| Curvature exploitation, variable metric and preconditioning for stochastic online market with C He | 2025 in preparation |
| On interior-point price updates for Arrow-Debreu exchange markets with C He | 2025 in preparation |
| Balancing global and local efficiency of second-order methods with Y Jiang, B Jiang, and Y Ye | 2025 in preparation |
| Dynamic network optimization with service customization: A customer-oriented decomposition framework with K Liang, J Liu, D Ge, Z Wang | 2025 [SSRN] |
| Homogeneous second-order descent framework: A fast alternative to Newton-type methods with C He, Y Jiang, D Ge, B Jiang, and Y Ye iSoGO Student Paper Award @GOC 2025 (honored to C He). | 2025 Math. Prog. [arXiv][suppl. report][slides] |
| A homogeneous second-order descent method for nonconvex optimization with C He, Y Jiang, D Ge, B Jiang, and Y Ye | 2025 Math. Oper. Res. [arXiv] |
| Trust region methods for nonconvex stochastic optimization beyond Lipschitz smoothness with C Xie, C Li, Q Deng, D Ge, Y Ye | 2024 AAAI |
| A homogenization approach for gradient-dominated stochastic optimization with J Tan, C Xue, Q Deng, Y Ye | 2024 UAI |
| Beyond nonconvexity: A universal trust-region method with new analyses with C He, Y Jiang, D Ge, B Jiang, and Y Ye | 2023 [arXiv] |
| A customized augmented Lagrangian method for block-structured integer programming with R Wang, S Pu, J Gao, Z Wen | 2024 IEEE TPAMI. |
| An approximate dynamic programming approach for solving aircraft fleet engine maintenance problem with M Zhang, J Yang, S He, H Liu, and Z Wang | 2024 Eur. J. Oper. Res. |
| An enhanced ADMM-based interior point method for linear and conic optimization with the Leaves Group | 2024 INFORMS JOC. [GitHub] |
| cuPDLP-C: A strengthened C-implementation of cuPDLP for linear programming with H Lu (MIT) and the COPT team | 2024 [arXiv] [GitHub] |
| DRSOM: A dimension reduced second-order method. with C He, Y Jiang, D Ge, B Jiang, and Y Ye Spotlight @"Order up! The Benefits of Higher-Order Optimization in Machine Learning" NeurIPS workshop, 2022, New Orleans. | 2022 [arXiv][GitHub] |
| Homogeneous Methods: Model, Algorithm, and Applications. PhD thesis (in Chinese) | 2025 |