EM-Type Algorithms for Image Reconstruction with Background Emission and Poisson Noise. - Ming Yan 006 (ISVC (1), 2011)

EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation. - Ming Yan 006; Jianwen Chen; Luminita A. Vese; John D. Villasenor; Alex A. T. Bui; Jason Cong (ISVC (1), 2011)

FPGA-accelerated 3D reconstruction using compressive sensing. - Jianwen Chen; Jason Cong; Ming Yan 006; Yi Zou (FPGA, 2012)

A Hybrid Architecture for Compressive Sensing 3-D CT Reconstruction. - Jianwen Chen; Jason Cong; Luminita A. Vese; John D. Villasenor; Ming Yan 006; Yi Zou (IEEE J. Emerg. Sel. Topics Circuits Syst., 2012)

Robust 1-bit Compressive Sensing Using Adaptive Outlier Pursuit. - Ming Yan 006; Yi Yang 010; Stanley J. Osher (IEEE Trans. Signal Process., 2012)

Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. - Ming Yan 006 (2012)

Parallel and distributed sparse optimization. - Zhimin Peng; Ming Yan 006; Wotao Yin (ACSSC, 2013)

One condition for all: solution uniqueness and robustness of ℓ1-synthesis and ℓ1-analysis minimizations - Hui Zhang 050; Ming Yan 006; Wotao Yin (CoRR, 2013)

Convergence analysis of SART: optimization and statistics. - Ming Yan 006 (Int. J. Comput. Math., 2013)

Exact Low-Rank Matrix Completion from Sparsely Corrupted Entries Via Adaptive Outlier Pursuit. - Ming Yan 006; Yi Yang 010; Stanley J. Osher (J. Sci. Comput., 2013)

Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting. - Ming Yan 006 (SIAM J. Imaging Sci., 2013)

Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience. - Qianqian Xu; Ming Yan 006; Yuan Yao 011 (CoRR, 2014)

Pinball Loss Minimization for One-bit Compressive Sensing. - Xiaolin Huang; Lei Shi 010; Ming Yan 006; Johan A. K. Suykens (CoRR, 2015)

One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations. - Hui Zhang 050; Ming Yan 006; Wotao Yin (Adv. Comput. Math., 2016)

Fast L1-L2 Minimization via a Proximal Operator. - Yifei Lou; Ming Yan 006 (CoRR, 2016)

Coordinate Friendly Structures, Algorithms and Applications. - Zhimin Peng; Tianyu Wu; Yangyang Xu; Ming Yan 006; Wotao Yin (CoRR, 2016)

On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays. - Zhimin Peng; Yangyang Xu; Ming Yan 006; Wotao Yin (CoRR, 2016)

Nonconvex compressive video sensing. - Liangliang Chen; Ming Yan 006; Chunqi Qian; Ning Xi 001; Zhanxin Zhou; Yongliang Yang; Bo Song; Lixin Dong (J. Electronic Imaging, 2016)

A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. - Fang Li 004; Stanley J. Osher; Jing Qin 003; Ming Yan 006 (J. Sci. Comput., 2016)

ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates. - Zhimin Peng; Yangyang Xu; Ming Yan 006; Wotao Yin (SIAM J. Sci. Comput., 2016)

Exploring Outliers in Crowdsourced Ranking for QoE. - Qianqian Xu; Ming Yan 006; Chendi Huang; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2017)

Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. - Xiaolin Huang; Yan Xia 002; Lei Shi 010; Yixing Huang; Ming Yan 006; Joachim Hornegger; Andreas K. Maier (CoRR, 2017)

Non-convex Penalties with Analytical Solutions for One-bit Compressive Sensing. - Xiaolin Huang; Ming Yan 006 (CoRR, 2017)

D2: Decentralized Training over Decentralized Data. - Hanlin Tang; Xiangru Lian; Ming Yan 006; Ce Zhang 001; Ji Liu 002 (ICML, 2018)

Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms. - Xiaolin Huang; Lei Shi 010; Ming Yan 006; Johan A. K. Suykens (Neurocomputing, 2018)

Fast L1-L2 Minimization via a Proximal Operator. - Yifei Lou; Ming Yan 006 (J. Sci. Comput., 2018)

A New Primal-Dual Algorithm for Minimizing the Sum of Three Functions with a Linear Operator. - Ming Yan 006 (J. Sci. Comput., 2018)

Nonconvex penalties with analytical solutions for one-bit compressive sensing. - Xiaolin Huang; Ming Yan 006 (Signal Process., 2018)

Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties. - Fan He; Xiaolin Huang; Yipeng Liu 001; Ming Yan 006 (IEEE Signal Process. Lett., 2018)

Image Smoothing Via Gradient Sparsity and Surface Area Minimization. - Jun Liu 012; Ming Yan 006; Jinshan Zeng; Tieyong Zeng (ICIP, 2019)

Manifold denoising by Nonlinear Robust Principal Component Analysis. - He Lyu; Ningyu Sha; Shuyang Qin; Ming Yan 006; Yuying Xie 001; Rongrong Wang (NeurIPS, 2019)

Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares. - Yuning Hao; Ming Yan 006; Blake R. Heath; Yu L. Lei; Yuying Xie 001 (PLoS Comput. Biol., 2019)

Robust mixed one-bit compressive sensing. - Xiaolin Huang; Haiyan Yang; Yixing Huang; Lei Shi 010; Fan He; Andreas K. Maier; Ming Yan 006 (Signal Process., 2019)

A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates. - Zhi Li 080; Wei Shi 010; Ming Yan 006 (IEEE Trans. Signal Process., 2019)

A Double Residual Compression Algorithm for Efficient Distributed Learning. - Xiaorui Liu; Yao Li 039; Jiliang Tang; Ming Yan 006 (AISTATS, 2020)

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. - Sulaiman A. Alghunaim; Ming Yan 006; Ali H. Sayed (EUSIPCO, 2020)

Fast algorithms for robust principal component analysis with an upper bound on the rank. - Ningyu Sha; Lei Shi 010; Ming Yan 006 (CoRR, 2020)

Accelerated Schemes for the $L_1/L_2$ Minimization. - Chao Wang 067; Ming Yan 006; Yaghoub Rahimi; Yifei Lou (IEEE Trans. Signal Process., 2020)

Linear Convergent Decentralized Optimization with Compression. - Xiaorui Liu; Yao Li 039; Rongrong Wang; Jiliang Tang; Ming Yan 006 (ICLR, 2021)

Elastic Graph Neural Networks. - Xiaorui Liu; Wei Jin 009; Yao Ma 001; Yaxin Li 001; Hua Liu; Yiqi Wang 001; Ming Yan 006; Jiliang Tang (ICML, 2021)

ErrorCompensatedX: error compensation for variance reduced algorithms. - Hanlin Tang; Yao Li 039; Ji Liu 002; Ming Yan 006 (NeurIPS, 2021)

Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling. - Xiao Zeng; Ming Yan 006; Mi Zhang 002 (SenSys, 2021)

New convergence analysis of a primal-dual algorithm with large stepsizes. - Zhi Li 080; Ming Yan 006 (Adv. Comput. Math., 2021)

Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (CoRR, 2021)

Decentralized Composite Optimization with Compression. - Yao Li 039; Xiaorui Liu; Jiliang Tang; Ming Yan 006; Kun Yuan 001 (CoRR, 2021)

On the Linear Convergence of Two Decentralized Algorithms. - Yao Li 039; Ming Yan 006 (J. Optim. Theory Appl., 2021)

A Novel Regularization Based on the Error Function for Sparse Recovery. - Weihong Guo 002; Yifei Lou; Jing Qin 003; Ming Yan 006 (J. Sci. Comput., 2021)

Variational Asymptotic Preserving Scheme for the Vlasov-Poisson-Fokker-Planck System. - José A. Carrillo 001; Li Wang 101; Wuzhe Xu; Ming Yan 006 (Multiscale Model. Simul., 2021)

Surface-Aware Blind Image Deblurring. - Jun Liu 012; Ming Yan 006; Tieyong Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. - Sulaiman A. Alghunaim; Qi Lyu; Ming Yan 006; Ali H. Sayed (IEEE Trans. Signal Process., 2021)

Decentralized Frequency Alignment for Collaborative Beamforming in Distributed Phased Arrays. - Hassna Ouassal; Ming Yan 006; Jeffrey A. Nanzer (IEEE Trans. Wirel. Commun., 2021)

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. - Samiul Alam; Luyang Liu; Ming Yan 006; Mi Zhang 002 (NeurIPS, 2022)

Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. - Zhuoqing Song; Weijian Li; Kexin Jin; Lei Shi 010; Ming Yan 006; Wotao Yin; Kun Yuan 001 (NeurIPS, 2022)

Hessian Informed Mirror Descent. - Li Wang 101; Ming Yan 006 (J. Sci. Comput., 2022)

Phase retrieval from incomplete data via weighted nuclear norm minimization. - Zhi Li 080; Ming Yan 006; Tieyong Zeng; Guixu Zhang (Pattern Recognit., 2022)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (IEEE Trans. Signal Process., 2022)

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. - Mengqi Hu; Yifei Lou; Bao Wang 001; Ming Yan 006; Xiu Yang; Qiang Ye 003 (J. Sci. Comput., 2023)

Gossamer: Scaling Image Processing and Reconstruction to Whole Brains. - Karl Marrett; Keivan Moradi; Chris Sin Park; Ming Yan 006; Chris Choi; Muye Zhu; Masood Akram; Sumit Nanda; Qing Xue; Hyun-Seung Mun; Adriana E. Gutierrez; Mitchell Rudd; et al. (BI (1), 2024)

High Throughput Training Label Generation from Whole Brain Images. - Karl Marrett; Keivan Moradi; Chris Sin Park; Ming Yan 006; Chris Choi; Muye Zhu; Masood Akram; Sumit Nanda; Qing Xue; Hyun-Seung Mun; Adriana E. Gutierrez; Mitchell Rudd; et al. (BI (2), 2024)

Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness. - Weihong Guo 002; Yifei Lou; Jing Qin 003; Ming Yan 006 (CoRR, 2024)

Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (SIAM J. Optim., 2024)

On the Improved Conditions for Some Primal-Dual Algorithms. - Ming Yan 006; Yao Li 039 (J. Sci. Comput., 2024)

Optimal gradient tracking for decentralized optimization. - Zhuoqing Song; Lei Shi 010; Shi Pu 004; Ming Yan 006 (Math. Program., 2024)

Initialization-enhanced physics-informed neural network with domain decomposition (IDPINN). - Chenhao Si; Ming Yan 006 (J. Comput. Phys., 2025)

Efficient Sparse Probability Measures Recovery via Bregman Gradient. - Jianting Pan; Ming Yan 006 (J. Sci. Comput., 2025)