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ORCIDMing Yuan 0001
Person information
- affiliation: Columbia University, New York, NY, USA
Other persons with the same name
- Ming Yuan — disambiguation page
- Ming Yuan 0002
![[0000-0002-9668-2258]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9668-2258")
— Xidian University, School of Mathematics and Statistics, Xi'an, China - Ming Yuan 0003 — Tsinghua University, Beijing, China
- Ming Yuan 0004 — University of Jinan, Jinan, China
- Ming Yuan 0005 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
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2020 – today
- 2024
[i14]Arnab Auddy, Dong Xia, Ming Yuan:
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges. CoRR abs/2405.18412 (2024)- 2023
- [i13]Runshi Tang, Ming Yuan, Anru R. Zhang:
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model. CoRR abs/2307.00575 (2023) - [i12]Wanteng Ma, Lilun Du, Dong Xia, Ming Yuan:
Multiple Testing of Linear Forms for Noisy Matrix Completion. CoRR abs/2312.00305 (2023) - 2022
- [j23]Qun Liu, Hang Shu, Ming Yuan, Guoyin Wang:
Fuzzy hierarchical network embedding fusing structural and neighbor information. Inf. Sci. 603: 130-148 (2022) - [j22]Arnab Auddy, Ming Yuan:
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors. IEEE Trans. Inf. Theory 68(12): 8053-8075 (2022) - 2021
- [j21]Krishnakumar Balasubramanian, Tong Li, Ming Yuan:
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests. J. Mach. Learn. Res. 22: 1:1-1:45 (2021) - [j20]Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang:
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. 22: 179:1-179:48 (2021) - [j19]Shulei Wang, Ming Yuan:
Revisiting colocalization via optimal transport. Nat. Comput. Sci. 1(3): 177-178 (2021) - [j18]Dong Xia, Ming Yuan:
Effective Tensor Sketching via Sparsification. IEEE Trans. Inf. Theory 67(2): 1356-1369 (2021) - [c10]Ming Yuan, Qun Liu, Guoyin Wang, Yike Guo:
HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. CICAI 2021: 747-758 - 2020
- [j17]Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan:
ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. 2(2): 444-479 (2020) - [i11]Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang:
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR abs/2008.02437 (2020)
2010 – 2019
- 2019
- [j16]Dong Xia, Ming Yuan:
On Polynomial Time Methods for Exact Low-Rank Tensor Completion. Found. Comput. Math. 19(6): 1265-1313 (2019) - [j15]Han Chen, Garvesh Raskutti, Ming Yuan:
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression. J. Mach. Learn. Res. 20: 5:1-5:37 (2019) - [j14]Shulei Wang, Ellen T. Arena, Jordan T. Becker, William M. Bement, Nathan M. Sherer, Kevin W. Eliceiri, Ming Yuan:
Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy. IEEE Trans. Image Process. 28(9): 4471-4485 (2019) - [i10]Dong Xia, Ming Yuan:
Statistical Inferences of Linear Forms for Noisy Matrix Completion. CoRR abs/1909.00116 (2019) - [i9]Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan:
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR abs/1911.03804 (2019) - 2018
- [j13]Shulei Wang, Ellen T. Arena, Kevin W. Eliceiri, Ming Yuan:
Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach. IEEE Trans. Image Process. 27(2): 622-636 (2018) - [c9]Yirong Wu, Jun Fan, Peggy L. Peissig, Richard L. Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S. Burnside:
Quantifying predictive capability of electronic health records for the most harmful breast cancer. Image Perception, Observer Performance, and Technology Assessment 2018: 105770J - 2017
- [j12]Ming Yuan, Cun-Hui Zhang:
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion. IEEE Trans. Inf. Theory 63(10): 6753-6766 (2017) - [c8]Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven:
Breast Cancer Risk Prediction Using Electronic Health Records. ICHI 2017: 224-228 - [i8]Dong Xia, Ming Yuan:
On Polynomial Time Methods for Exact Low Rank Tensor Completion. CoRR abs/1702.06980 (2017) - [i7]Dong Xia, Ming Yuan:
Tensor Sketching: Sparsification and Rank-One Projection. CoRR abs/1710.11298 (2017) - [i6]Dong Xia, Ming Yuan, Cun-Hui Zhang:
Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries. CoRR abs/1711.04934 (2017) - [i5]Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh:
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR abs/1711.07575 (2017) - 2016
- [j11]Ming Yuan, Cun-Hui Zhang:
On Tensor Completion via Nuclear Norm Minimization. Found. Comput. Math. 16(4): 1031-1068 (2016) - [j10]Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside:
Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. 17: 85:1-85:15 (2016) - [c7]Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside:
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Image Perception, Observer Performance, and Technology Assessment 2016: 978706 - [i4]Ming Yuan, Cun-Hui Zhang:
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion. CoRR abs/1606.03504 (2016) - 2015
- [c6]Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan:
Human Memory Search as Initial-Visit Emitting Random Walk. NIPS 2015: 1072-1080 - 2014
- [j9]Yixin Fang, Yang Feng, Ming Yuan:
Regularized principal components of heritability. Comput. Stat. 29(3): 455-465 (2014) - [i3]Ming Yuan, Cun-Hui Zhang:
On Tensor Completion via Nuclear Norm Minimization. CoRR abs/1405.1773 (2014) - [i2]T. Tony Cai, Ming Yuan:
Rate-Optimal Detection of Very Short Signal Segments. CoRR abs/1407.2812 (2014) - 2013
- [j8]Carlos Valencia, Ming Yuan:
Radial basis function regularization for linear inverse problems with random noise. J. Multivar. Anal. 116: 92-108 (2013) - 2012
- [j7]Zhaosong Lu, Renato D. C. Monteiro, Ming Yuan:
Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression. Math. Program. 131(1-2): 163-194 (2012) - [c5]Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman:
High Dimensional Semiparametric Gaussian Copula Graphical Models. ICML 2012 - [c4]Nan Du, Le Song, Alexander J. Smola, Ming Yuan:
Learning Networks of Heterogeneous Influence. NIPS 2012: 2789-2797 - [i1]Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman:
The Nonparanormal SKEPTIC. CoRR abs/1206.6488 (2012) - 2011
- [j6]Lingyan Ruan, Ming Yuan, Hui Zou:
Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models. Neural Comput. 23(6): 1605-1622 (2011) - [p1]Lingyan Ruan, Ming Yuan:
Statistical Analysis of Time Course Microarray Data. Handbook of Statistical Bioinformatics 2011: 299-313 - 2010
- [j5]Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz:
Statistical Methods for Fighting Financial Crimes. Technometrics 52(1): 5-19 (2010)
2000 – 2009
- 2008
- [j4]Hui Zou, Ming Yuan:
Regularized simultaneous model selection in multiple quantiles regression. Comput. Stat. Data Anal. 52(12): 5296-5304 (2008) - [c3]Vladimir Koltchinskii, Ming Yuan:
Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits. COLT 2008: 229-238 - 2007
- [j3]Jinyu Li, Ming Yuan, Chin-Hui Lee:
Approximate Test Risk Bound Minimization Through Soft Margin Estimation. IEEE Trans. Speech Audio Process. 15(8): 2393-2404 (2007) - [c2]Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan:
Anomaly Detection in High-Dimensional Financial Databases. MLMTA 2007: 105-112 - 2006
- [j2]Ming Yuan:
GACV for quantile smoothing splines. Comput. Stat. Data Anal. 50(3): 813-829 (2006) - [j1]Ming Yuan:
Flexible temporal expression profile modelling using the Gaussian process. Comput. Stat. Data Anal. 51(3): 1754-1764 (2006) - [c1]Jinyu Li, Ming Yuan, Chin-Hui Lee:
Soft margin estimation of hidden Markov model parameters. INTERSPEECH 2006
Coauthor Index
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