Author

Ming Yuan

Columbia University - Cited by 19,141 - statistics - optimization - machine learning - high dimensional data analysis

Biography

Dr. Ming Yuan  is currently working at Pharmaceutical Department. Ming Yuan  is research interests includes Pharmaceutical in Traditional Chinese Medicine. Ming Yuan  serving as an editorial member and reviewer of several international reputed journals. Ming Yuan  has successfully completed his Administrative responsibilities. Ming Yuan  has authored of many research articles/books related to Medicine.
Title
Cited by
Year
Quantitating the cell: turning images into numbers with ImageJ
ET Arena, CT Rueden, MC Hiner, S Wang, M Yuan, KW EliceiriWiley Interdisciplinary Reviews: Developmental Biology 6 (2), e260, 2017201
122
2017
Convex regularization for high-dimensional multiresponse tensor regression
G Raskutti, M Yuan, H ChenThe Annals of Statistics 47 (3), 1554-1584, 2019201
111
2019
Nanophotonic media for artificial neural inference
E Khoram, A Chen, D Liu, L Ying, Q Wang, M Yuan, Z YuPhotonics Research 7 (8), 823-827, 2019201
102
2019
On polynomial time methods for exact low-rank tensor completion
D Xia, M YuanFoundations of Computational Mathematics 19 (6), 1265-1313, 2019201
70
2019
Incoherent tensor norms and their applications in higher order tensor completion
M Yuan, CH ZhangIEEE Transactions on Information Theory 63 (10), 6753-6766, 2017201
59
2017
Statistically optimal and computationally efficient low rank tensor completion from noisy entries
D Xia, M Yuan, CH ZhangThe Annals of Statistics 49 (1), 202157202
57
2021
Non-convex projected gradient descent for generalized low-rank tensor regression
H Chen, G Raskutti, M YuanThe Journal of Machine Learning Research 20 (1), 172-208, 2019201
54
2019
Statistical inferences of linear forms for noisy matrix completion
D Xia, M YuanJournal of the Royal Statistical Society Series B: Statistical Methodology …, 2021202
42
2021
Characterizing spatiotemporal transcriptome of the human brain via low-rank tensor decomposition
T Liu, M Yuan, H ZhaoStatistics in Biosciences 14 (3), 485-513, 202240202
40
2022
ISLET: Fast and optimal low-rank tensor regression via importance sketching
AR Zhang, Y Luo, G Raskutti, M YuanSIAM journal on mathematics of data science 2 (2), 444-479, 2020202
38
2020
Sparse recovery: from vectors to tensors
Y Wang, D Meng, M YuanNational Science Review 5 (5), 756-767, 2018201
38
2018
Global testing against sparse alternatives under Ising models
R Mukherjee, S Mukherjee, M YuanThe Annals of Statistics 46 (5), 2062-2093, 2018201
30
2018
On the optimality of kernel-embedding based goodness-of-fit tests
K Balasubramanian, T Li, M YuanThe Journal of Machine Learning Research 22 (1), 1-45, 202127202
27
2021
Factorisable multitask quantile regression
SK Chao, WK Härdle, M YuanEconometric Theory 37 (4), 794-816, 202118202
18
2021
Controlling the minimal feature sizes in adjoint optimization of nanophotonic devices using b-spline surfaces
E Khoram, X Qian, M Yuan, Z YuOptics Express 28 (5), 7060-7069, 2020202
18
2020
Breast cancer risk prediction using electronic health records
Y Wu, ES Burnside, J Cox, J Fan, M Yuan, J Yin, P Peissig, A Cobian, ...20 IEEE International Conference on Healthcare Informatics (ICHI), 224-228, 202
17
2017
Nonparametric empirical Bayesian framework for fluorescence-lifetime imaging microscopy
S Wang, JV Chacko, AK Sagar, KW Eliceiri, M YuanBiomedical optics express 10 (11), 5497-5517, 2019201
16
2019
Spatially adaptive colocalization analysis in dual-color fluorescence microscopy
S Wang, ET Arena, JT Becker, WM Bement, NM Sherer, KW Eliceiri, ...IEEE Transactions on Image Processing 28 (9), 4471-4485, 2019201
15
2019
Degrees of freedom in low rank matrix estimation
M YuanScience China Mathematics 59, 2485-2502, 2016201
13
2016