Ming Yan

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 53

Top Venues

CoRR

J. Sci. Comput.

IEEE Trans. Signal Process.

NeurIPS

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
Optimal gradient tracking for decentralized optimization. Math. Program. 207 (1) (2024)
Ming Yan, Yao Li
On the Improved Conditions for Some Primal-Dual Algorithms. J. Sci. Comput. 99 (3) (2024)
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness. CoRR (2024)
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate. CoRR (2022)
Zhi Li, Ming Yan, Tieyong Zeng, Guixu Zhang
Phase retrieval from incomplete data via weighted nuclear norm minimization. Pattern Recognit. 125 (2022)
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. NeurIPS (2022)
Yao Li, Ming Yan
On the improved conditions for some primal-dual algorithms. CoRR (2022)
Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. IEEE Trans. Signal Process. 70 (2022)
Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
Decentralized Composite Optimization with Compression. CoRR (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. ICML (2021)
Zhi Li, Ming Yan
New convergence analysis of a primal-dual algorithm with large stepsizes. Adv. Comput. Math. 47 (1) (2021)
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
ErrorCompensatedX: error compensation for variance reduced algorithms. NeurIPS (2021)
Jun Liu, Ming Yan, Tieyong Zeng
Surface-Aware Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. CoRR (2021)
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
A Novel Regularization Based on the Error Function for Sparse Recovery. J. Sci. Comput. 87 (1) (2021)
Sulaiman A. Alghunaim, Qi Lyu, Ming Yan, Ali H. Sayed
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. IEEE Trans. Signal Process. 69 (2021)
Hassna Ouassal, Ming Yan, Jeffrey A. Nanzer
Decentralized Frequency Alignment for Collaborative Beamforming in Distributed Phased Arrays. IEEE Trans. Wirel. Commun. 20 (10) (2021)
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
ErrorCompensatedX: error compensation for variance reduced algorithms. CoRR (2021)
Yao Li, Ming Yan
On the Linear Convergence of Two Decentralized Algorithms. J. Optim. Theory Appl. 189 (1) (2021)
Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
Linear Convergent Decentralized Optimization with Compression. ICLR (2021)
Chao Wang, Ming Yan, Yaghoub Rahimi, Yifei Lou
Accelerated Schemes for the $L_1/L_2$ Minimization. IEEE Trans. Signal Process. 68 (2020)
Sulaiman A. Alghunaim, Ming Yan, Ali H. Sayed
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. CoRR (2020)
Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
Linear Convergent Decentralized Optimization with Compression. CoRR (2020)
Ningyu Sha, Lei Shi, Ming Yan
Fast algorithms for robust principal component analysis with an upper bound on the rank. CoRR (2020)
Sulaiman A. Alghunaim, Ming Yan, Ali H. Sayed
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. EUSIPCO (2020)
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
A Novel Regularization Based on the Error Function for Sparse Recovery. CoRR (2020)
Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS (2020)
Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei, Yuying Xie
Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares. PLoS Comput. Biol. 15 (5) (2019)
Yao Li, Ming Yan
On linear convergence of two decentralized algorithms. CoRR (2019)
Zhi Li, Wei Shi, Ming Yan
A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates. IEEE Trans. Signal Process. 67 (17) (2019)
Xiaolin Huang, Haiyan Yang, Yixing Huang, Lei Shi, Fan He, Andreas K. Maier, Ming Yan
Robust mixed one-bit compressive sensing. Signal Process. 162 (2019)
Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR (2019)
He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang
Manifold denoising by Nonlinear Robust Principal Component Analysis. NeurIPS (2019)
Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng
Image Smoothing Via Gradient Sparsity and Surface Area Minimization. ICIP (2019)
He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang
Manifold Denoising by Nonlinear Robust Principal Component Analysis. CoRR (2019)
Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan
Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties. IEEE Signal Process. Lett. 25 (9) (2018)
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
: Decentralized Training over Decentralized Data. CoRR (2018)
Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan
Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties. CoRR (2018)
Xiaolin Huang, Ming Yan
Nonconvex penalties with analytical solutions for one-bit compressive sensing. Signal Process. 144 (2018)
Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms. Neurocomputing 314 (2018)
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
: Decentralized Training over Decentralized Data. ICML (2018)
Ming Yan
A New Primal-Dual Algorithm for Minimizing the Sum of Three Functions with a Linear Operator. J. Sci. Comput. 76 (3) (2018)
Yifei Lou, Ming Yan
Fast L1-L2 Minimization via a Proximal Operator. J. Sci. Comput. 74 (2) (2018)
Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao
Exploring Outliers in Crowdsourced Ranking for QoE. ACM Multimedia (2017)
Xiaolin Huang, Yan Xia, Lei Shi, Yixing Huang, Ming Yan, Joachim Hornegger, Andreas K. Maier
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. CoRR (2017)
Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao
Exploring Outliers in Crowdsourced Ranking for QoE. CoRR (2017)
Xiaolin Huang, Ming Yan
Non-convex Penalties with Analytical Solutions for One-bit Compressive Sensing. CoRR (2017)
Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates. SIAM J. Sci. Comput. 38 (5) (2016)
Hui Zhang, Ming Yan, Wotao Yin
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations. Adv. Comput. Math. 42 (6) (2016)
Zhimin Peng, Tianyu Wu, Yangyang Xu, Ming Yan, Wotao Yin
Coordinate Friendly Structures, Algorithms and Applications. CoRR (2016)
Yifei Lou, Ming Yan
Minimization via a Proximal Operator. CoRR (2016)
Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. J. Sci. Comput. 69 (1) (2016)
Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays. CoRR (2016)
Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates. CoRR (2015)
Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
Pinball Loss Minimization for One-bit Compressive Sensing. CoRR (2015)
Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity. CoRR (2015)
Qianqian Xu, Ming Yan, Yuan Yao
Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience. CoRR (2014)
Hui Zhang, Ming Yan, Wotao Yin
-analysis minimizations CoRR (2013)
Zhimin Peng, Ming Yan, Wotao Yin
Parallel and distributed sparse optimization. ACSSC (2013)
Ming Yan
Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise using Blind Inpainting CoRR (2013)
Ming Yan, Yi Yang, Stanley J. Osher
Exact Low-Rank Matrix Completion from Sparsely Corrupted Entries Via Adaptive Outlier Pursuit. J. Sci. Comput. 56 (3) (2013)
Ming Yan
Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting. SIAM J. Imaging Sci. 6 (3) (2013)
Ming Yan
Convergence analysis of SART: optimization and statistics. Int. J. Comput. Math. 90 (1) (2013)
Ming Yan, Yi Yang, Stanley J. Osher
Robust 1-bit Compressive Sensing Using Adaptive Outlier Pursuit. IEEE Trans. Signal Process. 60 (7) (2012)
Jianwen Chen, Jason Cong, Luminita A. Vese, John D. Villasenor, Ming Yan, Yi Zou
A Hybrid Architecture for Compressive Sensing 3-D CT Reconstruction. IEEE J. Emerg. Sel. Topics Circuits Syst. 2 (3) (2012)
Jianwen Chen, Jason Cong, Ming Yan, Yi Zou
FPGA-accelerated 3D reconstruction using compressive sensing. FPGA (2012)
Ming Yan, Jianwen Chen, Luminita A. Vese, John D. Villasenor, Alex A. T. Bui, Jason Cong
EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation. ISVC (1) (2011)
Ming Yan
EM-Type Algorithms for Image Reconstruction with Background Emission and Poisson Noise. ISVC (1) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming Yan