Dr. Xiaoxi Jia
Postdoctoral Researcher
Phone:
+49 371 531 34469
Office:
Reichenhainer Str. 41, Zimmer 617
Submitted journal articles
- A constraint dissolving inexact penalty method for optimization problems with geometric constraints,
Xiaoxi Jia, Leander Lerch, Stefan Streif and Manuel Schaller,
submitted 2026 - A general proximal quasi-Newton method based on model functions for nonsmooth nonconvex problems,
Xiaoxi Jia,
submitted 2025 - Projection-based curve pattern search for black-box optimization over smooth convex sets,
Xiaoxi Jia, Matteo Lapucci and Pierluigi Mansueto,
submitted 2025 - Convergence analysis of nonmonotone proximal gradient methods under local Lipschitz continuity and Kurdyka–Łojasiewicz property,
Xiaoxi Jia and Kai Wang,
submitted 2024
Journal articles
- A class of augmented-Lagrangian-type algorithms for solving generalized Nash equilibrium problems,
Xiaoxi Jia, Shiwei Wang and 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 and Patrick Mehlitz,
SIAM Journal on Optimization, 2023 - Constrained composite optimization and augmented Lagrangian methods,
Alberto De Marchi, Xiaoxi Jia, Christian Kanzow and Patrick Mehlitz,
Mathematical Programming, 2023 - An augmented Lagrangian method for optimization problems with structured geometric constraints,
Xiaoxi Jia, Christian Kanzow, Patrick Mehlitz and Gerd Wachsmuth,
Mathematical Programming, 2022 - A projection-like method for quasimonotone variational inequalities without Lipschitz continuity,
Xiaoxi Jia and Lingling Xu,
Optimization Letters, 2022 - An improved hyperplane projection method for generalized Nash equilibrium problems with extrapolation technique,
Xiaoxi Jia, Zhiren Sun and Lingling Xu,
Optimization, 2021
