Dr. Xiaoxi Jia
Postdoctoral Researcher
Phone:
+49 371 531 34469
Office:
Reichenhainer Str. 41, Zimmer 617
Submitted journal articles
- A general proximal quasi-Newton method based on model functions for nonsmooth nonconvex problems.
Xiaoxi Jia. Preprint 2025. - Projection-based curve pattern search for black-box optimization over smooth convex sets.
Xiaoxi Jia, Matteo Lapucci, Pierluigi Mansueto. Preprint 2025. - Convergence analysis of nonmonotone proximal gradient methods under local Lipschitz continuity and Kurdyka--Łojasiewicz property.
Xiaoxi Jia, Kai Wang. Preprint 2024.
Journal Articles
- A Class of Augmented-Lagrangian-Type Algorithms for Solving Generalized Nash Equilibrium Problems. Xiaoxi Jia, Shiwei Wang, Lingling Xu. Splitting Optimization: Theory, Methodology, and Applications. 2025.
- Convergence analysis of the proximal gradient method in the presence of the Kurdyka-Łojasiewicz property without global Lipschitz assumptions.
Xiaoxi Jia, Christian Kanzow, Patrick Mehlitz. SIAM Journal on Optimization. 2023. - Constrained composite optimization and augmented Lagrangian methods.
Alberto De Marchi, Xiaoxi Jia, Christian Kanzow, Patrick Mehlitz. Mathematical Programming, 2023. - An augmented Lagrangian method for optimization problems with structured geometric constraints.
Xiaoxi Jia, Christian Kanzow, Patrick Mehlitz, Gerd Wachsmuth. Mathematical Programming, 2022. - A projection-like method for quasimonotone variational inequalities without Lipschitz continuity. Xiaoxi Jia, Lingling Xu. Optimization Letter, 2022.
- An improved hyperplane projection method for generalized Nash equilibrium problems with extrapolation technique. Xiaoxi Jia, Zhiren Sun, Lingling Xu. Optimization, 2021.
