Tianxiang Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Optimization Problems

Convergence Analysis

Top Venues

Comput. Optim. Appl.

Publications

Tianxiang Liu, Bruno F. Lourenço
Concrete convergence rates for common fixed point problems under Karamata regularity. CoRR (2024)
Tianxiang Liu, Bruno F. Lourenço
Convergence Analysis under Consistent Error Bounds. Found. Comput. Math. 24 (2) (2024)
Fangfang Lu, Tianxiang Liu, Ting Zhang, Bei Jin, Weiyan Gu
CHDNet: A lightweight weakly supervised segmentation network for lung CT image. Displays 82 (2024)
Tianxiang Liu, Xiuyuan Gong, Zhiying Liu, Chaoliang Ma
Direct and Configurational Paths of Capital Signals to Technology Crowdfunding Fundraising. IEEE Trans. Engineering Management 70 (9) (2023)
Tianxiang Liu, Gang Zhang, Peng Zhang, Tianyu Cheng, Zijie Luo, Shengsong Wang, Fuxin Du
Modeling of and Experimenting with Concentric Tube Robots: Considering Clearance, Friction and Torsion. Sensors 23 (7) (2023)
Tianxiang Liu, Zhengyi Liu
Mirror Detection in Frequency Domain. CNML (2023)
Tianxiang Liu, Ting Kei Pong, Akiko Takeda
Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints. Comput. Optim. Appl. 86 (2) (2023)
Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang, Leida Li
Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images. Sensors 23 (5) (2023)
Fangfang Lu, Zhihao Zhang, Tianxiang Liu, Chi Tang, Hualin Bai, Guangtao Zhai, Jingjing Chen, Xiaoxin Wu
A weakly supervised inpainting-based learning method for lung CT image segmentation. Pattern Recognit. 144 (2023)
Tianxiang Liu, Akiko Takeda
An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems. Comput. Optim. Appl. 82 (1) (2022)
Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang
SMA-Net: Sobel Operator Combined with Multi-attention Networks for COVID-19 Lesion Segmentation. IFTC (2022)
Fangfang Lu, Tianxiang Liu, Chi Tang, Zhihao Zhang, Guangtao Zhai, Xiongkuo Min, Wei Sun
A Lightweight Segmentation Network Based on Weak Supervision for COVID-19 Detection. IFTC (2022)
Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda
A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
Data-Driven Structured Noise Filtering via Common Dynamics Estimation. IEEE Trans. Signal Process. 68 (2020)
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
Subspace methods for multi-channel sum-of-exponentials common dynamics estimation. CDC (2019)
Tianxiang Liu, Ting Kei Pong, Akiko Takeda
A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection. Comput. Optim. Appl. 73 (1) (2019)
Rui Ren, Desheng Dash Wu, Tianxiang Liu
Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine. IEEE Syst. J. 13 (1) (2019)
Tianxiang Liu, Ting Kei Pong, Akiko Takeda
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems. Math. Program. 176 (1-2) (2019)
Tianxiang Liu, Ting Kei Pong
Further properties of the forward-backward envelope with applications to difference-of-convex programming. Comput. Optim. Appl. 67 (3) (2017)
Guoyin Li, Tianxiang Liu, Ting Kei Pong
Peaceman-Rachford splitting for a class of nonconvex optimization problems. Comput. Optim. Appl. 68 (2) (2017)