Ming Yan (严明)
Ming Yan (严明)
Associate Professor, CUHK-Shenzhen
Verified email at - Homepage
Cited by
Cited by
D2: Decentralized training over decentralized data
H Tang, X Lian, M Yan, C Zhang, J Liu
International Conference on Machine Learning 2018, 4848-4856, 2018
ARock: an algorithmic framework for asynchronous parallel coordinate updates
Z Peng, Y Xu, M Yan, W Yin
SIAM Journal on Scientific Computing 38 (5), A2851-A2879, 2016
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
Z Li, W Shi, M Yan
IEEE Transactions on Signal Processing 67 (17), 4494-4506, 2019
Robust 1-bit compressive sensing using adaptive outlier pursuit
M Yan, Y Yang, S Osher
IEEE Transactions on Signal Processing 60 (7), 3868-3875, 2012
Restoration of images corrupted by impulse noise and mixed Gaussian impulse noise using blind inpainting
M Yan
SIAM Journal on Imaging Sciences 6 (3), 1227-1245, 2013
Fast l1–l2 minimization via a proximal operator
Y Lou, M Yan
Journal of Scientific Computing 74 (2), 767-785, 2018
A new primal-dual algorithm for minimizing the sum of three functions with a linear operator
M Yan
Journal of Scientific Computing 76 (3), 1698-1717, 2018
Elastic graph neural networks
X Liu, W Jin, Y Ma, Y Li, H Liu, Y Wang, M Yan, J Tang
International Conference on Machine Learning, 6837-6849, 2021
Parallel and distributed sparse optimization
Z Peng, M Yan, W Yin
Proceedings of IEEE Asilomar Conference on Signals Systems and Computers …, 2013
Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares
Y Hao, M Yan, YL Lei, Y Xie
PLOS Computational Biology 15 (5), e1006976, 2019
Coordinate friendly structures, algorithms and applications
Z Peng, T Wu, Y Xu, M Yan, W Yin
Annals of Mathematical Sciences and Applications 1 (1), 57-119, 2016
Surface-aware blind image deblurring
J Liu, M Yan, T Zeng
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (3), 1041 …, 2021
FedRolex: Model-heterogeneous federated learning with rolling sub-model extraction
S Alam, L Liu, M Yan, M Zhang
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
Self equivalence of the alternating direction method of multipliers
M Yan, W Yin
Splitting Methods in Communication, Imaging, Science, and Engineering, 165-194, 2016
A double residual compression algorithm for efficient distributed learning
X Liu, Y Li, J Tang, M Yan
International Conference on Artificial Intelligence and Statistics, 133--143, 2020
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations
H Zhang, M Yan, W Yin
Advances in Computational Mathematics 42 (6), 1381-1399, 2016
Expectation maximization and total variation based model for computed tomography reconstruction from undersampled data
M Yan, LA Vese
Proceeding of SPIE Medical Imaging: Physics of Medical Imaging, 79612X, 2011
Accelerated Schemes for the L1/L2 Minimization
C Wang, M Yan, Y Rahimi, Y Lou
IEEE Transactions on Signal Processing 68, 2660--2669, 2020
Asynchronous multi-task learning
IM Baytas, M Yan, AK Jain, J Zhou
Proceedings of IEEE International Conference on Data Mining 2016, 11-20, 2016
Linear convergent decentralized optimization with compression
X Liu, Y Li, R Wang, J Tang, M Yan
International Conference on Learning Representations (ICLR 2021), 2021
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