A Schwarz domain decomposition method with gradient projection for optimal control governed by elliptic partial differential equations. - Huibin Chang; Danping Yang (J. Comput. Appl. Math., 2011)

Shape prior regularized continuous max-flow approach to image segmentation. - Yuping Duan; Weimin Huang 002; Huibin Chang (ICPR, 2012)

Synchronous simulation for deformation of liver and gallbladder with stretch and compression compensation. - Yuping Duan; Weimin Huang 002; Huibin Chang; Kyaw Kyar Toe; Tao Yang 014; Jiayin Zhou; Jiang Liu 001; Soo Kng Teo; Calvin Chi-Wan Lim; Yi Su 001; Chee-Kong Chui; Stephen K. Y. Chang (EMBC, 2013)

Modeling and Simulation of Soft Tissue Deformation. - Yuping Duan; Weimin Huang 002; Huibin Chang; Wenyu Chen 002; Kyaw Kyar Toe; Jiayin Zhou; Tao Yang 014; Jiang Liu 001; Soo Kng Teo; Calvin Chi-Wan Lim; Yi Su 001; Chee-Kong Chui; et al. (Abdominal Imaging, 2013)

Domain Decomposition Methods for Total Variation Minimization. - Huibin Chang; Xue-Cheng Tai; Danping Yang (EMMCVPR, 2014)

Simultaneous bias correction and image segmentation via L0 regularized Mumford-Shah model. - Yuping Duan; Huibin Chang; Weimin Huang 002; Jiayin Zhou (ICIP, 2014)

A Two-Stage Image Segmentation Method Using Euler's Elastica Regularized Mumford-Shah Model. - Yuping Duan; Weimin Huang 002; Jiayin Zhou; Huibin Chang; Tieyong Zeng (ICPR, 2014)

Domain decomposition method for image deblurring. - Jing Xu 004; Huibin Chang; Jing Qin 003 (J. Comput. Appl. Math., 2014)

Domain Decomposition Methods for Nonlocal Total Variation Image Restoration. - Huibin Chang; Xiaoqun Zhang; Xue-Cheng Tai; Danping Yang (J. Sci. Comput., 2014)

Reducing Artifacts in JPEG Decompression Via a Learned Dictionary. - Huibin Chang; Michael K. Ng 001; Tieyong Zeng (IEEE Trans. Signal Process., 2014)

Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation. - Huibin Chang; Xue-Cheng Tai; Li-Lian Wang; Danping Yang (SIAM J. Imaging Sci., 2015)

The L0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images. - Yuping Duan; Huibin Chang; Weimin Huang 002; Jiayin Zhou; Zhongkang Lu; Chunlin Wu (IEEE Trans. Image Process., 2015)

Convergent Non-overlapping Domain Decomposition Methods for Variational Image Segmentation. - Yuping Duan; Huibin Chang; Xue-Cheng Tai (J. Sci. Comput., 2016)

Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization. - Huibin Chang; Yifei Lou; Michael K. Ng 001; Tieyong Zeng (SIAM J. Sci. Comput., 2016)

Volume Preserved Mass-Spring Model with Novel Constraints for Soft Tissue Deformation. - Yuping Duan; Weimin Huang 002; Huibin Chang; Wenyu Chen 002; Jiayin Zhou; Soo Kng Teo; Yi Su 001; Chee-Kong Chui; Stephen K. Y. Chang (IEEE J. Biomed. Health Informatics, 2016)

A New Variational Method for Bias Correction and Its Applications to Rodent Brain Extraction. - Huibin Chang; Weimin Huang 002; Chunlin Wu; Su Huang; Cuntai Guan; Sakthivel Sekar; Kishore Kumar Bhakoo; Yuping Duan (IEEE Trans. Medical Imaging, 2017)

GPU-Based Implementation of Ptycho-ADMM for High Performance X-Ray Imaging. - Pablo Enfedaque; Huibin Chang; Hari Krishnan; Stefano Marchesini (ICCS (1), 2018)

Empirical Studies on Phase Retrieval. - Russell Hart; Huibin Chang; Yifei Lou (IVMSP, 2018)

Total Variation-Based Phase Retrieval for Poisson Noise Removal. - Huibin Chang; Yifei Lou; Yuping Duan; Stefano Marchesini (SIAM J. Imaging Sci., 2018)

Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm. - Huibin Chang; Stefano Marchesini; Yifei Lou; Tieyong Zeng (SIAM J. Imaging Sci., 2018)

High Performance Partial Coherent X-Ray Ptychography. - Pablo Enfedaque; Huibin Chang; Bjoern Enders; David Shapiro 005; Stefano Marchesini (ICCS (1), 2019)

Iterative Joint Ptychography-Tomography with Total Variation Regularization. - Huibin Chang; Pablo Enfedaque; Stefano Marchesini (ICIP, 2019)

Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal. - Jie Zhang 124; Yuping Duan; Yue Lu; Michael K. Ng 001; Huibin Chang (CoRR, 2019)

A new adaptive boosting total generalized variation (TGV) technique for image denoising and inpainting. - Samad Wali; Huayan Zhang; Huibin Chang; Chunlin Wu (J. Vis. Commun. Image Represent., 2019)

Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers. - Huibin Chang; Pablo Enfedaque; Stefano Marchesini (SIAM J. Imaging Sci., 2019)

Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method. - Baoshun Shi; Qiusheng Lian; Huibin Chang (Signal Process., 2020)

Overlapping Domain Decomposition Methods for Ptychographic Imaging. - Huibin Chang; Roland Glowinski; Stefano Marchesini; Xue-Cheng Tai; Yang Wang 020; Tieyong Zeng (SIAM J. Sci. Comput., 2021)

Proximal Gradient Methods for General Smooth Graph Total Variation Model in Unsupervised Learning. - Baochen Sun; Huibin Chang (J. Sci. Comput., 2022)

Variational Rician Noise Removal via Splitting on Spheres. - Zhifang Liu; Huibin Chang; Yuping Duan (SIAM J. Imaging Sci., 2022)

Fast Non-overlapping Domain Decomposition Methods for Continuous Multi-phase Labeling Problem. - Zhenwei Zhang; Huibin Chang; Yuping Duan (J. Sci. Comput., 2023)

A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition. - Zhifang Liu; Baochen Sun; Xue-Cheng Tai; Qi Wang 021; Huibin Chang (SIAM J. Sci. Comput., 2024)

CurvPnP: Plug-and-play blind image restoration with deep curvature denoiser. - Yutong Li 005; Huibin Chang; Yuping Duan (Signal Process., 2025)

Noise-adapted Neural Operator for Robust Non-Line-of-Sight Imaging. - Lianfang Wang; Kuilin Qin; Xueying Liu; Huibin Chang; Yong Wang; Yuping Duan (CoRR, 2025)