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Tianxiang Liu
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2020 – today
- 2024
- [j16]Tianxiang Liu, Cangzhi Jia
, Yue Bi, Xudong Guo, Quan Zou
scDFN: enhancing single-cell RNA-seq clustering with deep fusion networks. Briefings Bioinform. 25(6) (2024) - [j15]Fangfang Lu
CHDNet: A lightweight weakly supervised segmentation network for lung CT image. Displays 82: 102650 (2024) - [j14]Tianxiang Liu, Bruno F. Lourenço:
Convergence Analysis under Consistent Error Bounds. Found. Comput. Math. 24(2): 429-479 (2024) - [c5]Chenyu Zhang
Design of citrus picking robot based on YOLOv5 improved model. ICCIR 2024: 109-115 - [i1]Tianxiang Liu, Bruno F. Lourenço:
Concrete convergence rates for common fixed point problems under Karamata regularity. CoRR abs/2407.13234 (2024) - 2023
- [j13]Tianxiang Liu
Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints. Comput. Optim. Appl. 86(2): 521-553 (2023) - [j12]Fangfang Lu, Zhihao Zhang
A weakly supervised inpainting-based learning method for lung CT image segmentation. Pattern Recognit. 144: 109861 (2023) - [j11]Fangfang Lu
Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images. Sensors 23(5): 2546 (2023) - [j10]Tianxiang Liu
Modeling of and Experimenting with Concentric Tube Robots: Considering Clearance, Friction and Torsion. Sensors 23(7): 3709 (2023) - [j9]Tianxiang Liu
Direct and Configurational Paths of Capital Signals to Technology Crowdfunding Fundraising. IEEE Trans. Engineering Management 70(9): 3062-3077 (2023) - [c4]Tianxiang Liu
Mirror Detection in Frequency Domain. CNML 2023: 327-331 - 2022
- [j8]Tianxiang Liu
An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems. Comput. Optim. Appl. 82(1): 141-173 (2022) - [c3]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: 87-105 - [c2]Fangfang Lu, Chi Tang, Tianxiang Liu, Zhihao Zhang:
SMA-Net: Sobel Operator Combined with Multi-attention Networks for COVID-19 Lesion Segmentation. IFTC 2022: 377-390 - 2020
- [j7]Tianxiang Liu
A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints. SIAM J. Matrix Anal. Appl. 41(3): 1260-1283 (2020) - [j6]Ivan Markovsky
Data-Driven Structured Noise Filtering via Common Dynamics Estimation. IEEE Trans. Signal Process. 68: 3064-3073 (2020)
2010 – 2019
- 2019
- [j5]Tianxiang Liu
A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection. Comput. Optim. Appl. 73(1): 69-100 (2019) - [j4]Tianxiang Liu, Ting Kei Pong
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems. Math. Program. 176(1-2): 339-367 (2019) - [j3]Rui Ren
Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine. IEEE Syst. J. 13(1): 760-770 (2019) - [c1]Ivan Markovsky
Subspace methods for multi-channel sum-of-exponentials common dynamics estimation. CDC 2019: 2672-2675 - 2017
- [j2]Tianxiang Liu, Ting Kei Pong
Further properties of the forward-backward envelope with applications to difference-of-convex programming. Comput. Optim. Appl. 67(3): 489-520 (2017) - [j1]Guoyin Li
Peaceman-Rachford splitting for a class of nonconvex optimization problems. Comput. Optim. Appl. 68(2): 407-436 (2017)
Coauthor Index
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