Research
| The second-order tâtonnement: decentralized interior-point methods for market equilibrium with C He, B Jiang, and Y Ye | 2025 {arXiv}{slides} |
| History-aware adaptive high-order tensor regularization with C He, Y Jiang, B Jiang, and S Zhang | 2025 {arXiv} |
| Accelerating trust-region methods: an attempt to balance global and local efficiency with Y Jiang, B Jiang, and Y Ye | 2025 {arXiv} |
| Dynamic network optimization with service customization: a customer-oriented decomposition framework with K Liang, J Liu, D Ge, Z Wang | 2025 {SSRN} |
| Beyond nonconvexity: a universal trust-region method with new analyses with C He, Y Jiang, D Ge, B Jiang, and Y Ye | 2025 J. Sci. Comp. {arXiv} |
| 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 |
| 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 |
| 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. (齐次二阶优化方法: 模型，算法及应用) (in Chinese) | 2025 {PhD thesis} |