Ming Yuan - RankMe

49 papers A* 2A 1Journal 38Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives. J. Mach. Learn. Res. Tong Li, Ming Yuan
2024	J	`jnl`	Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges. CoRR Arnab Auddy, Dong Xia, Ming Yuan
2023	J	`jnl`	Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model. CoRR Runshi Tang, Ming Yuan, Anru R. Zhang
2023	J	`jnl`	Multiple Testing of Linear Forms for Noisy Matrix Completion. CoRR Wanteng Ma, Lilun Du, Dong Xia, Ming Yuan
2022	J	`jnl`	Fuzzy hierarchical network embedding fusing structural and neighbor information. Inf. Sci. Qun Liu, Hang Shu, Ming Yuan, Guoyin Wang
2022	J	`jnl`	On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors. IEEE Trans. Inf. Theory Arnab Auddy, Ming Yuan
2021	J	`jnl`	A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
2021	J	`jnl`	Effective Tensor Sketching via Sparsification. IEEE Trans. Inf. Theory Dong Xia, Ming Yuan
2021	—	`conf`	HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. CICAI Ming Yuan, Qun Liu, Guoyin Wang, Yike Guo
2021	J	`jnl`	On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests. J. Mach. Learn. Res. Krishnakumar Balasubramanian, Tong Li, Ming Yuan
2021	J	`jnl`	Revisiting colocalization via optimal transport. Nat. Comput. Sci. Shulei Wang, Ming Yuan
2020	J	`jnl`	A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
2020	J	`jnl`	ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
2019	J	`jnl`	ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
2019	J	`jnl`	Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression. J. Mach. Learn. Res. Han Chen, Garvesh Raskutti, Ming Yuan
2019	J	`jnl`	On Polynomial Time Methods for Exact Low-Rank Tensor Completion. Found. Comput. Math. Dong Xia, Ming Yuan
2019	J	`jnl`	Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy. IEEE Trans. Image Process. Shulei Wang, Ellen T. Arena, Jordan T. Becker, William M. Bement, Nathan M. Sherer, Kevin W. Eliceiri, Ming Yuan
2019	J	`jnl`	Statistical Inferences of Linear Forms for Noisy Matrix Completion. CoRR Dong Xia, Ming Yuan
2018	J	`jnl`	Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach. IEEE Trans. Image Process. Shulei Wang, Ellen T. Arena, Kevin W. Eliceiri, Ming Yuan
2018	—	`conf`	Quantifying predictive capability of electronic health records for the most harmful breast cancer. Image Perception, Observer Performance, and Technology Assessment Yirong Wu, Jun Fan, Peggy L. Peissig, Richard L. Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S. Burnside
2017	—	`conf`	Breast Cancer Risk Prediction Using Electronic Health Records. ICHI Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven
2017	J	`jnl`	Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
2017	J	`jnl`	Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion. IEEE Trans. Inf. Theory Ming Yuan, Cun-Hui Zhang
2017	J	`jnl`	On Polynomial Time Methods for Exact Low Rank Tensor Completion. CoRR Dong Xia, Ming Yuan
2017	J	`jnl`	Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries. CoRR Dong Xia, Ming Yuan, Cun-Hui Zhang
2017	J	`jnl`	Tensor Sketching: Sparsification and Rank-One Projection. CoRR Dong Xia, Ming Yuan
2016	—	`conf`	Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Image Perception, Observer Performance, and Technology Assessment Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
2016	J	`jnl`	Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion. CoRR Ming Yuan, Cun-Hui Zhang
2016	J	`jnl`	On Tensor Completion via Nuclear Norm Minimization. Found. Comput. Math. Ming Yuan, Cun-Hui Zhang
2016	J	`jnl`	Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
2015	—	`conf`	Human Memory Search as Initial-Visit Emitting Random Walk. NIPS Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan
2014	J	`jnl`	On Tensor Completion via Nuclear Norm Minimization. CoRR Ming Yuan, Cun-Hui Zhang
2014	J	`jnl`	Rate-Optimal Detection of Very Short Signal Segments. CoRR T. Tony Cai, Ming Yuan
2014	J	`jnl`	Regularized principal components of heritability. Comput. Stat. Yixin Fang, Yang Feng, Ming Yuan
2013	J	`jnl`	Radial basis function regularization for linear inverse problems with random noise. J. Multivar. Anal. Carlos Valencia, Ming Yuan
2012	J	`jnl`	Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression. Math. Program. Zhaosong Lu, Renato D. C. Monteiro, Ming Yuan
2012	A*	`conf`	High Dimensional Semiparametric Gaussian Copula Graphical Models. ICML Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman
2012	—	`conf`	Learning Networks of Heterogeneous Influence. NIPS Nan Du, Le Song, Alexander J. Smola, Ming Yuan
2012	J	`jnl`	The Nonparanormal SKEPTIC. CoRR Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman
2011	J	`jnl`	Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models. Neural Comput. Lingyan Ruan, Ming Yuan, Hui Zou
2011	—	`ch.`	Statistical Analysis of Time Course Microarray Data. Handbook of Statistical Bioinformatics Lingyan Ruan, Ming Yuan
2010	J	`jnl`	Statistical Methods for Fighting Financial Crimes. Technometrics Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz
2008	J	`jnl`	Regularized simultaneous model selection in multiple quantiles regression. Comput. Stat. Data Anal. Hui Zou, Ming Yuan
2008	A*	`conf`	Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits. COLT Vladimir Koltchinskii, Ming Yuan
2007	—	`conf`	Anomaly Detection in High-Dimensional Financial Databases. MLMTA Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan
2007	J	`jnl`	Approximate Test Risk Bound Minimization Through Soft Margin Estimation. IEEE Trans. Speech Audio Process. Jinyu Li, Ming Yuan, Chin-Hui Lee
2006	J	`jnl`	Flexible temporal expression profile modelling using the Gaussian process. Comput. Stat. Data Anal. Ming Yuan
2006	J	`jnl`	GACV for quantile smoothing splines. Comput. Stat. Data Anal. Ming Yuan
2006	A	`conf`	Soft margin estimation of hidden Markov model parameters. INTERSPEECH Jinyu Li, Ming Yuan, Chin-Hui Lee