Liu Tianxiang ＬｉｕＴｉａｎｘｉａｎｇ

Researcher Number	90835216
Other IDs	https://orcid.org/0000-0001-7096-2668
Affiliation (Current)	2024: 東京科学大学, 情報理工学院, 助教
Affiliation (based on the past Project Information) *help	2021: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員 2020: 東京工業大学, 情報理工学院, 助教 2019: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Except Principal Investigator Basic Section 60020:Mathematical informatics-related
Keywords	Except Principal Investigator 低ランクスパース最適化 / 確率的DCアルゴリズム / ペナルティ法 / ホモトピー法 / 機械学習 / ２段階最適化問題 / ランダム行列理論 / 錐最適化問題 / 非凸非平滑最適化

Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learning
- Principal Investigator
  
  武田朗子
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60020:Mathematical informatics-related
- Research Institution
  The University of Tokyo

All 2020 2019

All Journal Article

[Journal Article] A hybrid penalty method for a class of optimization problems with multiple rank constraints2020
- Author(s)
  Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda
- Journal Title
  
  SIAM Journal on Matrix Analysis and Applications
  
  Volume: 41 Issue: 3 Pages: 1260-1283
- DOI
  10.1137/19m1269919
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069
[Journal Article] Data-driven structured noise filtering via common dynamics estimation2020
- Author(s)
  Ivan Markovsky, Tianxiang Liu, Akiko Takeda
- Journal Title
  
  IEEE Transactions on Signal Processing
  
  Volume: 68 Pages: 3064-3073
- DOI
  10.1109/tsp.2020.2993676
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069
[Journal Article] A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems2019
- Author(s)
  Tianxiang Liu, Ting Kei Pong, Akiko Takeda
- Journal Title
  
  Mathematical Programming
  
  Volume: 176 Issue: 1-2 Pages: 339-367
- DOI
  10.1007/s10107-018-1327-8
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-15K00031
[Journal Article] Subspace methods for multi-channel sum-of-exponentials common dynamics estimation2019
- Author(s)
  Ivan Markovsky, Tianxiang Liu, Akiko Takeda
- Journal Title
  
  2019 IEEE 58th Conference on Decision and Control (CDC)}, Nice, France, 2019, pp. 2672-2675.
  
  Volume: - Pages: 2672-2675
- Data Source
  KAKENHI-PROJECT-19H04069
[Journal Article] A refined convergence analysis of pDCAe with applications to simultaneous sparse recovery and outlier detection2019
- Author(s)
  Liu Tianxiang、Pong Ting Kei、Takeda Akiko
- Journal Title
  
  Computational Optimization and Applications
  
  Volume: 73 Issue: 1 Pages: 69-100
- DOI
  10.1007/s10589-019-00067-z
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-19H04069

1. 武田朗子 (80361799)

# of Collaborated Projects: 1 results

# of Collaborated Products: 5 results
2. ロウレンソブルノ・フィゲラ (80778720)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. Metel MichaelRos (40839081)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Liu Tianxiang ＬｉｕＴｉａｎｘｉａｎｇ

Research Projects

Research Products

Co-Researchers

Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] A hybrid penalty method for a class of optimization problems with multiple rank constraints2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Data-driven structured noise filtering via common dynamics estimation2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Subspace methods for multi-channel sum-of-exponentials common dynamics estimation2019

Author(s)

Journal Title

Data Source

[Journal Article] A refined convergence analysis of pDCAe with applications to simultaneous sparse recovery and outlier detection2019

Author(s)

Journal Title

DOI

Data Source

Liu Tianxiang Ｌｉｕ Ｔｉａｎｘｉａｎｇ

Research Projects

Research Products

Co-Researchers

Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] A hybrid penalty method for a class of optimization problems with multiple rank constraints2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Data-driven structured noise filtering via common dynamics estimation2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Subspace methods for multi-channel sum-of-exponentials common dynamics estimation2019

Author(s)

Journal Title

Data Source

[Journal Article] A refined convergence analysis of pDCAe with applications to simultaneous sparse recovery and outlier detection2019

Author(s)

Journal Title

DOI

Data Source

Liu Tianxiang ＬｉｕＴｉａｎｘｉａｎｇ