Ming Yan - RankMe

87 papers A* 8A 2B 1Misc 2Journal 68Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Complex physics-informed neural network. J. Comput. Phys. Chenhao Si, Ming Yan, Xin Li, Zhihong Xia
2026	J	`jnl`	Convolution-weighting method for the physics-informed neural network: A primal-dual optimization perspective. J. Comput. Phys. Chenhao Si, Ming Yan
2025	J	`jnl`	Efficient Sparse Probability Measures Recovery via Bregman Gradient. J. Sci. Comput. Jianting Pan, Ming Yan
2025	J	`jnl`	Initialization-enhanced physics-informed neural network with domain decomposition (IDPINN). J. Comput. Phys. Chenhao Si, Ming Yan
2024	—	`conf`	Gossamer: Scaling Image Processing and Reconstruction to Whole Brains. BI (1) Karl Marrett, Keivan Moradi, Chris Sin Park, Ming Yan, Chris Choi, Muye Zhu, Masood Akram, Sumit Nanda, Qing Xue, Hyun-Seung Mun, Adriana E. Gutierrez, Mitchell Rudd, Brian Zingg, Gabrielle Magat, Kathleen Wijaya, Hongwei Dong, X. William Yang, Jason Cong
2024	—	`conf`	High Throughput Training Label Generation from Whole Brain Images. BI (2) Karl Marrett, Keivan Moradi, Chris Sin Park, Ming Yan, Chris Choi, Muye Zhu, Masood Akram, Sumit Nanda, Qing Xue, Hyun-Seung Mun, Adriana E. Gutierrez, Mitchell Rudd, Brian Zingg, Gabrielle Magat, Kathleen Wijaya, Hongwei Dong, X. William Yang, Jason Cong
2024	J	`jnl`	On the Improved Conditions for Some Primal-Dual Algorithms. J. Sci. Comput. Ming Yan, Yao Li
2024	J	`jnl`	Optimal gradient tracking for decentralized optimization. Math. Program. Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2024	J	`jnl`	Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs. SIAM J. Optim. Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2024	J	`jnl`	Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness. CoRR Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
2023	J	`jnl`	Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. J. Sci. Comput. Mengqi Hu, Yifei Lou, Bao Wang, Ming Yan, Xiu Yang, Qiang Ye
2022	A*	`conf`	Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. NeurIPS Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022	J	`jnl`	Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate. CoRR Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022	J	`jnl`	Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. IEEE Trans. Signal Process. Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2022	A*	`conf`	FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. NeurIPS Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang
2022	J	`jnl`	FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. CoRR Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang
2022	J	`jnl`	Hessian Informed Mirror Descent. J. Sci. Comput. Li Wang, Ming Yan
2022	J	`jnl`	On the improved conditions for some primal-dual algorithms. CoRR Yao Li, Ming Yan
2022	J	`jnl`	Phase retrieval from incomplete data via weighted nuclear norm minimization. Pattern Recognit. Zhi Li, Ming Yan, Tieyong Zeng, Guixu Zhang
2021	J	`jnl`	A Novel Regularization Based on the Error Function for Sparse Recovery. J. Sci. Comput. Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
2021	J	`jnl`	Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. CoRR Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2021	J	`jnl`	Decentralized Composite Optimization with Compression. CoRR Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
2021	J	`jnl`	Decentralized Frequency Alignment for Collaborative Beamforming in Distributed Phased Arrays. IEEE Trans. Wirel. Commun. Hassna Ouassal, Ming Yan, Jeffrey A. Nanzer
2021	J	`jnl`	Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. IEEE Trans. Signal Process. Sulaiman A. Alghunaim, Qi Lyu, Ming Yan, Ali H. Sayed
2021	A*	`conf`	Elastic Graph Neural Networks. ICML Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	J	`jnl`	Elastic Graph Neural Networks. CoRR Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	A*	`conf`	ErrorCompensatedX: error compensation for variance reduced algorithms. NeurIPS Hanlin Tang, Yao Li, Ji Liu, Ming Yan
2021	J	`jnl`	ErrorCompensatedX: error compensation for variance reduced algorithms. CoRR Hanlin Tang, Yao Li, Ji Liu, Ming Yan
2021	J	`jnl`	Hessian informed mirror descent. CoRR Li Wang, Ming Yan
2021	A*	`conf`	Linear Convergent Decentralized Optimization with Compression. ICLR Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2021	Misc	`conf`	Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling. SenSys Xiao Zeng, Ming Yan, Mi Zhang
2021	J	`jnl`	New convergence analysis of a primal-dual algorithm with large stepsizes. Adv. Comput. Math. Zhi Li, Ming Yan
2021	J	`jnl`	On the Linear Convergence of Two Decentralized Algorithms. J. Optim. Theory Appl. Yao Li, Ming Yan
2021	J	`jnl`	Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs. CoRR Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2021	J	`jnl`	Surface-Aware Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. Jun Liu, Ming Yan, Tieyong Zeng
2021	J	`jnl`	Variational Asymptotic Preserving Scheme for the Vlasov-Poisson-Fokker-Planck System. Multiscale Model. Simul. José A. Carrillo, Li Wang, Wuzhe Xu, Ming Yan
2020	A	`conf`	A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2020	—	`conf`	A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. EUSIPCO Sulaiman A. Alghunaim, Ming Yan, Ali H. Sayed
2020	J	`jnl`	A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. CoRR Sulaiman A. Alghunaim, Ming Yan, Ali H. Sayed
2020	J	`jnl`	A Novel Regularization Based on the Error Function for Sparse Recovery. CoRR Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
2020	J	`jnl`	Accelerated Schemes for the $L_1/L_2$ Minimization. IEEE Trans. Signal Process. Chao Wang, Ming Yan, Yaghoub Rahimi, Yifei Lou
2020	J	`jnl`	Fast algorithms for robust principal component analysis with an upper bound on the rank. CoRR Ningyu Sha, Lei Shi, Ming Yan
2020	J	`jnl`	Linear Convergent Decentralized Optimization with Compression. CoRR Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2020	J	`jnl`	Variational Asymptotic Preserving Scheme for the Vlasov-Poisson-Fokker-Planck System. CoRR José A. Carrillo, Li Wang, Wuzhe Xu, Ming Yan
2019	J	`jnl`	A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates. IEEE Trans. Signal Process. Zhi Li, Wei Shi, Ming Yan
2019	J	`jnl`	A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2019	J	`jnl`	Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares. PLoS Comput. Biol. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei, Yuying Xie
2019	B	`conf`	Image Smoothing Via Gradient Sparsity and Surface Area Minimization. ICIP Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng
2019	J	`jnl`	Manifold Denoising by Nonlinear Robust Principal Component Analysis. CoRR He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang
2019	A*	`conf`	Manifold denoising by Nonlinear Robust Principal Component Analysis. NeurIPS He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang
2019	J	`jnl`	On linear convergence of two decentralized algorithms. CoRR Yao Li, Ming Yan
2019	J	`jnl`	Robust mixed one-bit compressive sensing. Signal Process. Xiaolin Huang, Haiyan Yang, Yixing Huang, Lei Shi, Fan He, Andreas K. Maier, Ming Yan
2018	J	`jnl`	A New Primal-Dual Algorithm for Minimizing the Sum of Three Functions with a Linear Operator. J. Sci. Comput. Ming Yan
2018	A*	`conf`	D ICML Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018	J	`jnl`	D CoRR Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018	J	`jnl`	Fast L1-L2 Minimization via a Proximal Operator. J. Sci. Comput. Yifei Lou, Ming Yan
2018	J	`jnl`	Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties. IEEE Signal Process. Lett. Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan
2018	J	`jnl`	Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties. CoRR Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan
2018	J	`jnl`	Nonconvex penalties with analytical solutions for one-bit compressive sensing. Signal Process. Xiaolin Huang, Ming Yan
2018	J	`jnl`	Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms. Neurocomputing Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
2017	A*	`conf`	Exploring Outliers in Crowdsourced Ranking for QoE. ACM Multimedia Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao
2017	J	`jnl`	Exploring Outliers in Crowdsourced Ranking for QoE. CoRR Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao
2017	J	`jnl`	Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. CoRR Xiaolin Huang, Yan Xia, Lei Shi, Yixing Huang, Ming Yan, Joachim Hornegger, Andreas K. Maier
2017	J	`jnl`	Non-convex Penalties with Analytical Solutions for One-bit Compressive Sensing. CoRR Xiaolin Huang, Ming Yan
2016	J	`jnl`	A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. J. Sci. Comput. Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
2016	J	`jnl`	ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates. SIAM J. Sci. Comput. Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
2016	J	`jnl`	Coordinate Friendly Structures, Algorithms and Applications. CoRR Zhimin Peng, Tianyu Wu, Yangyang Xu, Ming Yan, Wotao Yin
2016	J	`jnl`	Fast L CoRR Yifei Lou, Ming Yan
2016	J	`jnl`	Nonconvex compressive video sensing. J. Electronic Imaging Liangliang Chen, Ming Yan, Chunqi Qian, Ning Xi, Zhanxin Zhou, Yongliang Yang, Bo Song, Lixin Dong
2016	J	`jnl`	On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays. CoRR Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
2016	J	`jnl`	One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations. Adv. Comput. Math. Hui Zhang, Ming Yan, Wotao Yin
2015	J	`jnl`	A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity. CoRR Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
2015	J	`jnl`	ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates. CoRR Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
2015	J	`jnl`	Pinball Loss Minimization for One-bit Compressive Sensing. CoRR Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
2014	J	`jnl`	Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience. CoRR Qianqian Xu, Ming Yan, Yuan Yao
2013	J	`jnl`	Convergence analysis of SART: optimization and statistics. Int. J. Comput. Math. Ming Yan
2013	J	`jnl`	Exact Low-Rank Matrix Completion from Sparsely Corrupted Entries Via Adaptive Outlier Pursuit. J. Sci. Comput. Ming Yan, Yi Yang, Stanley J. Osher
2013	J	`jnl`	One condition for all: solution uniqueness and robustness of ℓ CoRR Hui Zhang, Ming Yan, Wotao Yin
2013	Misc	`conf`	Parallel and distributed sparse optimization. ACSSC Zhimin Peng, Ming Yan, Wotao Yin
2013	J	`jnl`	Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting. SIAM J. Imaging Sci. Ming Yan
2013	J	`jnl`	Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise using Blind Inpainting CoRR Ming Yan
2012	J	`jnl`	A Hybrid Architecture for Compressive Sensing 3-D CT Reconstruction. IEEE J. Emerg. Sel. Topics Circuits Syst. Jianwen Chen, Jason Cong, Luminita A. Vese, John D. Villasenor, Ming Yan, Yi Zou
2012	A	`conf`	FPGA-accelerated 3D reconstruction using compressive sensing. FPGA Jianwen Chen, Jason Cong, Ming Yan, Yi Zou
2012	—	`—`	Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. Ming Yan
2012	J	`jnl`	Robust 1-bit Compressive Sensing Using Adaptive Outlier Pursuit. IEEE Trans. Signal Process. Ming Yan, Yi Yang, Stanley J. Osher
2011	—	`conf`	EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation. ISVC (1) Ming Yan, Jianwen Chen, Luminita A. Vese, John D. Villasenor, Alex A. T. Bui, Jason Cong
2011	—	`conf`	EM-Type Algorithms for Image Reconstruction with Background Emission and Poisson Noise. ISVC (1) Ming Yan