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 | 377 | 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 | 305 | 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 | 257 | 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 | 199 | 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 | 192 | 2013 |
Fast l1–l2 minimization via a proximal operator Y Lou, M Yan Journal of Scientific Computing 74 (2), 767-785, 2018 | 168 | 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 | 120 | 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 | 109 | 2021 |
Parallel and distributed sparse optimization Z Peng, M Yan, W Yin Proceedings of IEEE Asilomar Conference on Signals Systems and Computers …, 2013 | 108 | 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 | 83 | 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 | 80 | 2016 |
Surface-aware blind image deblurring J Liu, M Yan, T Zeng IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (3), 1041 …, 2021 | 78 | 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 | 72 | 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 | 66 | 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 | 65 | 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 | 63 | 2016 |
Accelerated Schemes for the L1/L2 Minimization C Wang, M Yan, Y Rahimi, Y Lou IEEE Transactions on Signal Processing 68, 2660--2669, 2020 | 57 | 2020 |
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 | 57 | 2011 |
Asynchronous multi-task learning IM Baytas, M Yan, AK Jain, J Zhou Proceedings of IEEE International Conference on Data Mining 2016, 11-20, 2016 | 49 | 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 | 47 | 2021 |