Soft margin estimation of hidden Markov model parameters. - Jinyu Li 001; Ming Yuan 001; Chin-Hui Lee 001 (INTERSPEECH, 2006)

Flexible temporal expression profile modelling using the Gaussian process. - Ming Yuan 001 (Comput. Stat. Data Anal., 2006)

GACV for quantile smoothing splines. - Ming Yuan 001 (Comput. Stat. Data Anal., 2006)

Anomaly Detection in High-Dimensional Financial Databases. - Agus Sudjianto; Fernando Cela-Díaz; Aijun Zhang; Ming Yuan 001 (MLMTA, 2007)

Approximate Test Risk Bound Minimization Through Soft Margin Estimation. - Jinyu Li 001; Ming Yuan 001; Chin-Hui Lee 001 (IEEE Trans. Speech Audio Process., 2007)

Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits. - Vladimir Koltchinskii; Ming Yuan 001 (COLT, 2008)

Regularized simultaneous model selection in multiple quantiles regression. - Hui Zou; Ming Yuan 001 (Comput. Stat. Data Anal., 2008)

Statistical Methods for Fighting Financial Crimes. - Agus Sudjianto; Sheela Nair; Ming Yuan 001; Aijun Zhang; Daniel A. Kern; Fernando Cela-Díaz (Technometrics, 2010)

Statistical Analysis of Time Course Microarray Data. - Lingyan Ruan; Ming Yuan 001 (Handbook of Statistical Bioinformatics, 2011)

Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models. - Lingyan Ruan; Ming Yuan 001; Hui Zou (Neural Comput., 2011)

High Dimensional Semiparametric Gaussian Copula Graphical Models. - Han Liu 001; Fang Han; Ming Yuan 001; John D. Lafferty; Larry A. Wasserman (ICML, 2012)

Learning Networks of Heterogeneous Influence. - Nan Du 002; Le Song; Alexander J. Smola; Ming Yuan 001 (NIPS, 2012)

The Nonparanormal SKEPTIC. - Han Liu 001; Fang Han; Ming Yuan 001; John D. Lafferty; Larry A. Wasserman (CoRR, 2012)

Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression. - Zhaosong Lu; Renato D. C. Monteiro; Ming Yuan 001 (Math. Program., 2012)

Radial basis function regularization for linear inverse problems with random noise. - Carlos Valencia; Ming Yuan 001 (J. Multivar. Anal., 2013)

Rate-Optimal Detection of Very Short Signal Segments. - T. Tony Cai; Ming Yuan 001 (CoRR, 2014)

Regularized principal components of heritability. - Yixin Fang; Yang Feng 002; Ming Yuan 001 (Comput. Stat., 2014)

Human Memory Search as Initial-Visit Emitting Random Walk. - Kwang-Sung Jun; Xiaojin Zhu 001; Timothy T. Rogers; Zhuoran Yang; Ming Yuan 001 (NIPS, 2015)

Discriminatory power of common genetic variants in personalized breast cancer diagnosis. - Yirong Wu; Craig K. Abbey; Jie Liu 006; Irene M. Ong; Peggy L. Peissig; Adedayo A. Onitilo; Jun Fan; Ming Yuan 001; Elizabeth S. Burnside (Image Perception, Observer Performance, and Technology Assessment, 2016)

On Tensor Completion via Nuclear Norm Minimization. - Ming Yuan 001; Cun-Hui Zhang (Found. Comput. Math., 2016)

Structure-Leveraged Methods in Breast Cancer Risk Prediction. - Jun Fan; Yirong Wu; Ming Yuan 001; David Page; Jie Liu 006; Irene M. Ong; Peggy L. Peissig; Elizabeth S. Burnside (J. Mach. Learn. Res., 2016)

Breast Cancer Risk Prediction Using Electronic Health Records. - Yirong Wu; Elizabeth S. Burnside; Jennifer Cox; Jun Fan; Ming Yuan 001; Jie Yin; Peggy L. Peissig; Alexander G. Cobian; David Page; Mark W. Craven (ICHI, 2017)

Tensor Sketching: Sparsification and Rank-One Projection. - Dong Xia; Ming Yuan 001 (CoRR, 2017)

Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries. - Dong Xia; Ming Yuan 001; Cun-Hui Zhang (CoRR, 2017)

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. - Ronak Mehta; Hyunwoo J. Kim; Shulei Wang; Sterling C. Johnson; Ming Yuan 001; Vikas Singh (CoRR, 2017)

Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion. - Ming Yuan 001; Cun-Hui Zhang (IEEE Trans. Inf. Theory, 2017)

Quantifying predictive capability of electronic health records for the most harmful breast cancer. - Yirong Wu; Jun Fan; Peggy L. Peissig; Richard L. Berg; Ahmad Pahlavan Tafti; Jie Yin; Ming Yuan 001; David Page; Jennifer Cox; Elizabeth S. Burnside (Image Perception, Observer Performance, and Technology Assessment, 2018)

Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach. - Shulei Wang; Ellen T. Arena; Kevin W. Eliceiri; Ming Yuan 001 (IEEE Trans. Image Process., 2018)

Statistical Inferences of Linear Forms for Noisy Matrix Completion. - Dong Xia; Ming Yuan 001 (CoRR, 2019)

On Polynomial Time Methods for Exact Low-Rank Tensor Completion. - Dong Xia; Ming Yuan 001 (Found. Comput. Math., 2019)

Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression. - Han Chen; Garvesh Raskutti; Ming Yuan 001 (J. Mach. Learn. Res., 2019)

Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy. - Shulei Wang; Ellen T. Arena; Jordan T. Becker; William M. Bement; Nathan M. Sherer; Kevin W. Eliceiri; Ming Yuan 001 (IEEE Trans. Image Process., 2019)

ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. - Anru R. Zhang; Yuetian Luo; Garvesh Raskutti; Ming Yuan 001 (SIAM J. Math. Data Sci., 2020)

HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. - Ming Yuan 001; Qun Liu 005; Guoyin Wang 001; Yike Guo (CICAI, 2021)

On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests. - Krishnakumar Balasubramanian 002; Tong Li; Ming Yuan 001 (J. Mach. Learn. Res., 2021)

A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. - Yuetian Luo; Garvesh Raskutti; Ming Yuan 001; Anru R. Zhang (J. Mach. Learn. Res., 2021)

Revisiting colocalization via optimal transport. - Shulei Wang; Ming Yuan 001 (Nat. Comput. Sci., 2021)

Effective Tensor Sketching via Sparsification. - Dong Xia; Ming Yuan 001 (IEEE Trans. Inf. Theory, 2021)

Fuzzy hierarchical network embedding fusing structural and neighbor information. - Qun Liu 005; Hang Shu; Ming Yuan 001; Guoyin Wang 001 (Inf. Sci., 2022)

On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors. - Arnab Auddy; Ming Yuan 001 (IEEE Trans. Inf. Theory, 2022)

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model. - Runshi Tang; Ming Yuan 001; Anru R. Zhang (CoRR, 2023)

Multiple Testing of Linear Forms for Noisy Matrix Completion. - Wanteng Ma; Lilun Du; Dong Xia; Ming Yuan 001 (CoRR, 2023)

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges. - Arnab Auddy; Dong Xia; Ming Yuan 001 (CoRR, 2024)