Tianxiang Liu

According to our database, Tianxiang Liu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Convergence Analysis under Consistent Error Bounds.

Tianxiang Liu, Bruno F. Lourenço

Found. Comput. Math., April, 2024

2023

A weakly supervised inpainting-based learning method for lung CT image segmentation.

Fangfang Lu, Zhihao Zhang, Tianxiang Liu, Chi Tang, Hualin Bai, Guangtao Zhai, Jingjing Chen, Xiaoxin Wu

Pattern Recognit., December, 2023

Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints.

Tianxiang Liu, Ting Kei Pong, Akiko Takeda

Comput. Optim. Appl., November, 2023

Modeling of and Experimenting with Concentric Tube Robots: Considering Clearance, Friction and Torsion.

Tianxiang Liu, Gang Zhang, Peng Zhang, Tianyu Cheng, Zijie Luo, Shengsong Wang, Fuxin Du

Sensors, April, 2023

Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images.

Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang, Leida Li

Sensors, March, 2023

Direct and Configurational Paths of Capital Signals to Technology Crowdfunding Fundraising.

Tianxiang Liu, Xiuyuan Gong, Zhiying Liu, Chaoliang Ma

IEEE Trans. Engineering Management, 2023

Mirror Detection in Frequency Domain.

Tianxiang Liu, Zhengyi Liu

Proceedings of the 2023 International Conference on Communication Network and Machine Learning, 2023

2022

An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems.

Tianxiang Liu, Akiko Takeda

Comput. Optim. Appl., 2022

SMA-Net: Sobel Operator Combined with Multi-attention Networks for COVID-19 Lesion Segmentation.

Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang

Proceedings of the Digital Multimedia Communications - The 19th International Forum, 2022

A Lightweight Segmentation Network Based on Weak Supervision for COVID-19 Detection.

Fangfang Lu, Tianxiang Liu, Chi Tang, Zhihao Zhang, Guangtao Zhai, Xiongkuo Min, Wei Sun

Proceedings of the Digital Multimedia Communications - The 19th International Forum, 2022

2020

Data-Driven Structured Noise Filtering via Common Dynamics Estimation.

Ivan Markovsky, Tianxiang Liu, Akiko Takeda

IEEE Trans. Signal Process., 2020

A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints.

Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda

SIAM J. Matrix Anal. Appl., 2020

2019

Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine.

Rui Ren, Desheng Dash Wu, Tianxiang Liu

IEEE Syst. J., 2019

A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems.

Tianxiang Liu, Ting Kei Pong, Akiko Takeda

Math. Program., 2019

A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection.

Tianxiang Liu, Ting Kei Pong, Akiko Takeda

Comput. Optim. Appl., 2019

Subspace methods for multi-channel sum-of-exponentials common dynamics estimation.

Ivan Markovsky, Tianxiang Liu, Akiko Takeda

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2017

Further properties of the forward-backward envelope with applications to difference-of-convex programming.

Tianxiang Liu, Ting Kei Pong

Comput. Optim. Appl., 2017

Peaceman-Rachford splitting for a class of nonconvex optimization problems.

Guoyin Li, Tianxiang Liu, Ting Kei Pong

Comput. Optim. Appl., 2017