Tianxiang Liu

25 papers Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causality Constrained Deep Learning for Explainable Risk Analysis of Bridge Pier Settlement.
J. Comput. Civ. Eng.
Yafei Qi, Wenli Liu, Yao Qu, Tianxiang Liu, Yixiao Shao, Fenghua Liu
2025 J jnl
A new dual spectral projected gradient method for log-determinant semidefinite programming with hidden clustering structures.
Comput. Optim. Appl.
Charles Namchaisiri, Tianxiang Liu, Makoto Yamashita
2025 J jnl
Global assessment modeling to reveal spatiotemporal variations and socioenvironmental drivers in drainage system flood-resilient performance.
Reliab. Eng. Syst. Saf.
Zihan Liu, Yexin He, Hanbin Luo, Wenli Liu, Tianxiang Liu, Yongping Di
2024 J jnl
CHDNet: A lightweight weakly supervised segmentation network for lung CT image.
Displays
Fangfang Lu, Tianxiang Liu, Ting Zhang, Bei Jin, Weiyan Gu
2024 J jnl
Concrete convergence rates for common fixed point problems under Karamata regularity.
CoRR
Tianxiang Liu, Bruno F. Lourenço
2024 J jnl
Convergence Analysis under Consistent Error Bounds.
Found. Comput. Math.
Tianxiang Liu, Bruno F. Lourenço
2024 — conf
Design of citrus picking robot based on YOLOv5 improved model.
ICCIR
Chenyu Zhang, Tianxiang Liu, Shihao Zhu, Yangyang Zheng, Hongru Lian
2024 J jnl
scDFN: enhancing single-cell RNA-seq clustering with deep fusion networks.
Briefings Bioinform.
Tianxiang Liu, Cangzhi Jia, Yue Bi, Xudong Guo, Quan Zou, Fuyi Li
2023 J jnl
A weakly supervised inpainting-based learning method for lung CT image segmentation.
Pattern Recognit.
Fangfang Lu, Zhihao Zhang, Tianxiang Liu, Chi Tang, Hualin Bai, Guangtao Zhai, Jingjing Chen, Xiaoxin Wu
2023 J jnl
Direct and Configurational Paths of Capital Signals to Technology Crowdfunding Fundraising.
IEEE Trans. Engineering Management
Tianxiang Liu, Xiuyuan Gong, Zhiying Liu, Chaoliang Ma
2023 J jnl
Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints.
Comput. Optim. Appl.
Tianxiang Liu, Ting Kei Pong, Akiko Takeda
2023 — conf
Mirror Detection in Frequency Domain.
CNML
Tianxiang Liu, Zhengyi Liu
2023 J jnl
Modeling of and Experimenting with Concentric Tube Robots: Considering Clearance, Friction and Torsion.
Sensors
Tianxiang Liu, Gang Zhang, Peng Zhang, Tianyu Cheng, Zijie Luo, Shengsong Wang, Fuxin Du
2023 J jnl
Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images.
Sensors
Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang, Leida Li
2022 — conf
A Lightweight Segmentation Network Based on Weak Supervision for COVID-19 Detection.
IFTC
Fangfang Lu, Tianxiang Liu, Chi Tang, Zhihao Zhang, Guangtao Zhai, Xiongkuo Min, Wei Sun
2022 J jnl
An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems.
Comput. Optim. Appl.
Tianxiang Liu, Akiko Takeda
2022 — conf
SMA-Net: Sobel Operator Combined with Multi-attention Networks for COVID-19 Lesion Segmentation.
IFTC
Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang
2020 J jnl
A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints.
SIAM J. Matrix Anal. Appl.
Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda
2020 J jnl
Data-Driven Structured Noise Filtering via Common Dynamics Estimation.
IEEE Trans. Signal Process.
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
2019 J jnl
A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection.
Comput. Optim. Appl.
Tianxiang Liu, Ting Kei Pong, Akiko Takeda
2019 J jnl
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems.
Math. Program.
Tianxiang Liu, Ting Kei Pong, Akiko Takeda
2019 J jnl
Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine.
IEEE Syst. J.
Rui Ren, Desheng Dash Wu, Tianxiang Liu
2019 — conf
Subspace methods for multi-channel sum-of-exponentials common dynamics estimation.
CDC
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
2017 J jnl
Further properties of the forward-backward envelope with applications to difference-of-convex programming.
Comput. Optim. Appl.
Tianxiang Liu, Ting Kei Pong
2017 J jnl
Peaceman-Rachford splitting for a class of nonconvex optimization problems.
Comput. Optim. Appl.
Guoyin Li, Tianxiang Liu, Ting Kei Pong