Tianxiang Liu, Bruno F. Lourenço. Convergence analysis under consistent error bounds. Foundations of Computational Mathematics. 2024. 24. 2. 427-479
Tianxiang Liu, Ting Kei Pong, Akiko Takeda. Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints. Computational Optimization and Applications. 2023. 86. 2. 521-553
Tianxiang Liu, Akiko Takeda. An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems. Computational Optimization and Applications. 2022. 82. 1. 141-173
Ivan Markovsky, Tianxiang Liu, Akiko Takeda. Data-Driven Structured Noise Filtering via Common Dynamics Estimation. IEEE Transactions on Signal Processing. 2020. 68. 3064-3073
Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda. A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints. SIAM Journal on Matrix Analysis and Applications. 2020. 41. 3. 1260-1283
Tianxiang Liu, Bruno F. Lourenço. Concrete convergence rates for common fixed point problems under Karamata regularity. 2024
Charles Namchaisiri, Tianxiang Liu, Makoto Yamashita. A new dual spectral projected gradient method for log-determinant semidefinite programming with hidden clustering structures. 2024
学歴 (2件):
2010 - 2015 中国科学院 数学 · システム科学研究院 博士課程
2006 - 2010 武漢大学 数学 · 統計学院 理学学士
経歴 (3件):
2021/04 - 現在 東京工業大学 助教
2018/09 - 2021/03 理化学研究所 特別研究員
2016/03 - 2018/08 The Hong Kong Polytechnic University Postdoctoral Fellow