Multiscale Image Representation and Texture Extraction Using Hierarchical Variational Decomposition. - Liming Tang; Chuanjiang He (J. Appl. Math., 2013)

Multiscale Texture Extraction with Hierarchical (BV, G p , L 2) Decomposition. - Liming Tang; Chuanjiang He (J. Math. Imaging Vis., 2013)

Ultrasound kidney segmentation with a global prior shape. - Jie Huang; Xiaoping Yang 001; Yunmei Chen; Liming Tang (J. Vis. Commun. Image Represent., 2013)

Multiscale variational decomposition and its application for image hierarchical restoration. - Liming Tang; Chuanjiang He (Comput. Electr. Eng., 2016)

Edge and contrast preserving in total variation image denoising. - Liming Tang; Zhuang Fang (EURASIP J. Adv. Signal Process., 2016)

Image selective restoration using multi-scale variational decomposition. - Liming Tang; Zhuang Fang; Changcheng Xiang; Shiqiang Chen (J. Vis. Commun. Image Represent., 2016)

Image Segmentation Based on Exponential Kernel Function. - Dingding Yang; Liming Tang; Shiqiang Chen; Jun Li (ISPAN-FCST-ISCC, 2017)

A Phase Field Variational Model with Arctangent Regularization for Saliency Detection. - Meng Li; Xing Liu; Liming Tang (WACV Workshops, 2017)

Finite-time H∞ fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions. - Jun Cheng 004; Ju H. Park 001; Yajuan Liu 001; Zhijun Liu; Liming Tang (Fuzzy Sets Syst., 2017)

Total variation based variational model for the uneven illumination correction. - Wei Wang 117; Chuanjiang He; Liming Tang; Zemin Ren (Neurocomputing, 2018)

A Combined Back and Foreground-Based Stereo Matching Algorithm Using Belief Propagation and Self-Adapting Dissimilarity Measure. - Xiaofeng Wang; Yingying Su; Liming Tang; Jie Tan (Int. J. Pattern Recognit. Artif. Intell., 2018)

Nonconvex and nonsmooth total generalized variation model for image restoration. - Honglu Zhang; Liming Tang; Zhuang Fang; Changcheng Xiang; Chunyan Li (Signal Process., 2018)

A generalized hybrid nonconvex variational regularization model for staircase reduction in image restoration. - Liming Tang; Yanjun Ren; Zhuang Fang; Chuanjiang He (Neurocomputing, 2019)

A variational level set model for multiscale image segmentation. - Honglu Zhang; Liming Tang; Chuanjiang He (Inf. Sci., 2019)

Multiplicative noise removal via using nonconvex regularizers based on total variation and wavelet frame. - Chunyan Li; Zemin Ren; Liming Tang (J. Comput. Appl. Math., 2020)

A nonconvex and nonsmooth anisotropic total variation model for image noise and blur removal. - Yanjun Ren; Liming Tang (Multim. Tools Appl., 2020)

The pathogenesis of superior mesenteric artery dissection: An in-depth study based on fluid-structure interaction and histology analysis. - Zhongzhi Jia; Junhao Mei; Wei Ding; Xi Zhao; Wen Gong; Haiyang Yu; Lihao Qin; Zeyu Piao; Wenhua Chen; Liming Tang (Comput. Methods Programs Biomed., 2022)

A nonconvex hybrid regularization model for restoring blurred images with mixed noises. - Chunyan Li; Baoguang Sun; Liming Tang (Digit. Signal Process., 2022)

A variational level set model with kernel metric induced local image fitting energy. - Junxiao Yan; Liming Tang; Yanjun Ren; Honglu Zhang (IET Image Process., 2022)

A non-convex ternary variational decomposition and its application for image denoising. - Liming Tang; Liang Wu; Zhuang Fang; Chunyan Li (IET Signal Process., 2022)

RNA modification writers influence tumor microenvironment in gastric cancer and prospects of targeted drug therapy. - Peng Song; Sheng Zhou; Xiaoyang Qi; Yuwen Jiao; Yu Gong; Jie Zhao; Haojun Yang; Zhifen Qian; Jun Qian; Liming Tang (J. Bioinform. Comput. Biol., 2022)

Hybrid regularization model combining overlapping group sparse second-order total variation and nonconvex total variation. - Liang Wu; Liming Tang; Chunyan Li (J. Electronic Imaging, 2022)

A variational level set model combining with local Gaussian fitting and Markov random field regularization. - Yanjun Ren; Liming Tang; Honglu Zhang; Jie Zheng (Multim. Tools Appl., 2022)

Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine learning. - Chunjiang Liu; Yufei Zhou; Yue Zhou; Xiaoqi Tang; Liming Tang; Jiajia Wang (Comput. Biol. Medicine, 2023)

Dual-Band and Triple-Band Filtering Power Dividers Using Coupled Lines. - Zhenghai Luo; Gang Zhang 004; Huaiwei Wang; Na Li; Kam-Weng Tam; Liming Tang; Wanchun Tang; Jiquan Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A variational level set model based on additive decomposition for segmenting noisy images with intensity inhomogeneity. - Yanjun Ren; Dong Li; Liming Tang (Signal Process., 2023)

Generalized Low-Rank Matrix Completion Model with Overlapping Group Error Representation. - Wenjing Lu; Zhuang Fang; Liang Wu; Liming Tang; Hanxin Liu; Chuanjiang He (CoRR, 2024)

A variational level set model based on local-global function approximation for image segmentation. - Hongyu Dang; Liming Tang; Yanjun Ren; Yaya Xu (Digit. Signal Process., 2024)

KACM: A KIS-awared active contour model for low-contrast image segmentation. - Yaya Xu; Hongyu Dang; Liming Tang (Expert Syst. Appl., 2024)

A hybrid variational level set model based on double Gaussian distribution fitting energy for image segmentation and bias correction. - Liming Tang; Honglu Zhang; Yaya Xu; Yanjun Ren; Chunyan Li (IET Image Process., 2024)

A coupled non-convex hybrid regularization and weak H-1 image decomposition model for denoising application. - Wenjing Lu; Zhuang Fang; Liang Wu; Liming Tang; Hanxin Liu (J. Appl. Math. Comput., 2024)

ERD: Exponential Retinex decomposition based on weak space and hybrid nonconvex regularization and its denoising application. - Liang Wu; Wenjing Lu; Liming Tang; Zhuang Fang (Digit. Signal Process., 2025)

Bayesian framework based additive intrinsic components optimization deformable model for image segmentation. - Yanjun Ren; Dong Li; Liming Tang (Signal Process. Image Commun., 2025)

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach. - Chen Luo; Qiyu Jin; Taofeng Xie; Xuemei Wang; Huayu Wang; Congcong Liu; Liming Tang; Guoqing Chen; Zhuo-Xu Cui; Dong Liang 001 (CoRR, 2025)

Plug-and-Play ADMM for Embedded Noise Level Estimation. - Hanxin Liu; Zhuang Fang; Liming Tang; Wenjing Lu (J. Math. Imaging Vis., 2025)