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LIU TIANXIANG

Liu, Tianxiang

システム情報系 , 准教授
Institute of Systems and Information Engineering , Associate professor

  1. 1. Convergence analysis under consistent error bounds Tianxiang Liu; Bruno F. Lourenço
      Foundations of Computational Mathematics 24: 427 (2024)
  2. 2. Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints Tianxiang Liu; Ting Kei Pong; Akiko Takeda
      Computational Optimization and Applications 86: 521 (2023)
  3. 3. An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems Tianxiang Liu; Akiko Takeda
      Computational Optimization and Applications 82: 141 (2022)
  4. 4. Data-Driven Structured Noise Filtering via Common Dynamics Estimation Ivan Markovsky; Tianxiang Liu; Akiko Takeda
      IEEE Transactions on Signal Processing 68: 3064 (2020) Semantic Scholar
  5. 5. An exact penalty method for semidefinite-box-constrained low-rank matrix optimization problems Tianxiang Liu; Zhaosong Lu; Xiaojun Chen; Yu-Hong Dai
      IMA Journal of Numerical Analysis 40: 563 (2020) Semantic Scholar
  6. 6. A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints Tianxiang Liu; Ivan Markovsky; Ting Kei Pong; Akiko Takeda
      SIAM Journal on Matrix Analysis and Applications 41: 1260 (2020) Semantic Scholar
  7. 7. Subspace methods for multi-channel sum-of-exponentials common dynamics estimation Ivan Markovsky; Tianxiang Liu; Akiko Takeda
      Proceedings of the IEEE Conference on Decision and Control 2019-: 2672 (2019) Semantic Scholar
  8. 8. A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems Tianxiang Liu; Ting Kei Pong; Akiko Takeda
      Mathematical Programming 176: 339 (2019)
  9. 9. A refined convergence analysis of pDCAe with applications to simultaneous sparse recovery and outlier detection Tianxiang Liu; Ting Kei Pong; Akiko Takeda
      Computational Optimization and Applications 73: 69 (2019)
  10. 10. Peaceman–Rachford splitting for a class of nonconvex optimization problems Guoyin Li; Tianxiang Liu; Ting Kei Pong
      Computational Optimization and Applications 68: 407 (2017)
  11. 11. Further properties of the forward–backward envelope with applications to difference-of-convex programming Tianxiang Liu; Ting Kei Pong
      Computational Optimization and Applications 67: 489 (2017)

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