Publication

Working papers
2025
The second-order tâtonnement: decentralized interior-point methods for market equilibrium
with C He, B Jiang, and Y Ye
{arXiv} {slides} Major revision at Operations Research.
2025
Accelerating trust-region methods: an attempt to balance global and local efficiency
with Y Jiang, B Jiang, and Y Ye
{arXiv} Major revision at Mathematics of Operations Research.
2025
History-aware adaptive high-order tensor regularization
with C He, Y Jiang, B Jiang, and S Zhang
{arXiv}
2025
Dynamic network optimization with service customization: a customer-oriented decomposition framework
with K Liang, J Liu, D Ge, Z Wang
{SSRN}
Papers Published/Accepted
2025
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
Math. Prog. {arXiv} {suppl. report} {slides}
2025
A homogeneous second-order descent method for nonconvex optimization
with C He, Y Jiang, D Ge, B Jiang, and Y Ye
Math. Oper. Res. {arXiv}
2026
Beyond nonconvexity: a universal trust-region method with new analyses
with C He, Y Jiang, D Ge, B Jiang, and Y Ye
J. Sci. Comp. {arXiv}
2024
Trust region methods for nonconvex stochastic optimization beyond Lipschitz smoothness
with C Xie, C Li, Q Deng, D Ge, Y Ye
AAAI
2024
A homogenization approach for gradient-dominated stochastic optimization
with J Tan, C Xue, Q Deng, Y Ye
UAI
2024
A customized augmented Lagrangian method for block-structured integer programming
with R Wang, S Pu, J Gao, Z Wen
IEEE TPAMI.
2024
An approximate dynamic programming approach for solving aircraft fleet engine maintenance problem
with M Zhang, J Yang, S He, H Liu, and Z Wang
Eur. J. Oper. Res.
2024
An enhanced ADMM-based interior point method for linear and conic optimization
with the Leaves Group
INFORMS JOC. {GitHub}
Technical Reports
2022
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.
{arXiv} {GitHub}
2024
cuPDLP-C: a strengthened C-implementation of cuPDLP for linear programming
with H Lu (MIT) and the COPT team
{arXiv} {GitHub}
2025
Homogeneous Methods: Model, Algorithm, and Applications. (齐次二阶优化方法: 模型，算法及应用)
(in Chinese)
{PhD thesis}