Ming Yan
Orcid: 0000-0002-8686-3530Affiliations:
- Chinese University of Hong Kong, Shenzhen, China
- Michigan State University, Department of Mathematical Sciences / Department of Computational Mathematics, Science and Engineering, East Lansing, MI, USA (former)
- University of California Los Angeles, Department of Mathematics, CA, USA (PhD 2012)
According to our database1,
Ming Yan
authored at least 52 papers
between 2011 and 2022.
Collaborative distances:
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Bibliography
2022
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks.
IEEE Trans. Signal Process., 2022
Pattern Recognit., 2022
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Decentralized Frequency Alignment for Collaborative Beamforming in Distributed Phased Arrays.
IEEE Trans. Wirel. Commun., 2021
IEEE Trans. Signal Process., 2021
J. Sci. Comput., 2021
J. Optim. Theory Appl., 2021
CoRR, 2021
Adv. Comput. Math., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
IEEE Trans. Signal Process., 2020
Fast algorithms for robust principal component analysis with an upper bound on the rank.
CoRR, 2020
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates.
IEEE Trans. Signal Process., 2019
Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares.
PLoS Comput. Biol., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties.
IEEE Signal Process. Lett., 2018
Signal Process., 2018
A New Primal-Dual Algorithm for Minimizing the Sum of Three Functions with a Linear Operator.
J. Sci. Comput., 2018
Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms.
Neurocomputing, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
CoRR, 2017
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction.
CoRR, 2017
Proceedings of the 2017 ACM on Multimedia Conference, 2017
2016
SIAM J. Sci. Comput., 2016
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity.
J. Sci. Comput., 2016
CoRR, 2016
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations.
Adv. Comput. Math., 2016
2015
2014
CoRR, 2014
2013
Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting.
SIAM J. Imaging Sci., 2013
Exact Low-Rank Matrix Completion from Sparsely Corrupted Entries Via Adaptive Outlier Pursuit.
J. Sci. Comput., 2013
Int. J. Comput. Math., 2013
One condition for all: solution uniqueness and robustness of ℓ<sub>1</sub>-synthesis and ℓ<sub>1</sub>-analysis minimizations
CoRR, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit.
PhD thesis, 2012
IEEE Trans. Signal Process., 2012
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012
Proceedings of the ACM/SIGDA 20th International Symposium on Field Programmable Gate Arrays, 2012
2011
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011
EM-Type Algorithms for Image Reconstruction with Background Emission and Poisson Noise.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011