Selected Publications
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration (with Y. Luo, G. Raskutti and A. Zhang), Journal of Machine Learning Research , 22(1), 8106-8153.
Factorisable Multitask Quantile Regression (with S. Chao and W. Hardle), Econometric Theory , 37(4), 794-816.
Revisiting Quantitative Colocalization via Optimal Transport (with S. Wang), Nature Computational Science , 1, 177-178.
Effective Tensor Sketching via Sparsification (with D. Xia), IEEE Transactions on Information Theory , 67(2), 1356-1369.
Statistical Inferences of Linear Forms for Noisy Matrix Completion (with D. Xia), Journal of the Royal Statistical Society Series B , 83, 58-77.
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests (with K. Balasubramanian and T. Li), Journal of Machine Learning Research , 22(1), 1-45.
Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries (with D. Xia and C.H. Zhang), The Annals of Statistics , 49(1), 76-99.
Structured Correlation Detection with Application to Colocalization Analysis in Dual-Channel Fluorescence Microscopic Imaging (with S. Wang, J. Fan and G. Pocock), Statistica Sinica , 31, 333-360.
Comment: From Ridge Regression to Methods of Regularization , Technometrics , 62(4), 447-450.
Information Based Complexity for High Dimensional Sparse Functions (with C. Han), Journal of Complexity , 57, 101443.
Controlling the Minimal Feature Sizes in Adjoint Optimization of Nanophotonic Devices Using B-spline Surfaces (with E. Khoram, X. Qian and Z. Yu), Optics Express , 28(5), 7060-7069.
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching (with A. Zhang, Y. Luo and G. Raskutti), SIAM Journal on Mathematics of Data Science , 2(2), 444-479.
A Nonparametric Empirical Bayesian Framework for Fluorescence-Lifetime Imaging Microscopy (with S. Wang, J. Chacho, A. Sagar and K. Eliceiri), Biomedical Optics Express , 10(11), 5497-5517.
Nanophotonic Media for Artificial Neural Inference (with E. Khoram, A. Chen, D. Liu, L. Ying, Q. Wang and Z. Yu), Photonics Research , 7(8), 823-827.
(Media Coverage of the smart glass project from Yu lab : 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 )
On Polynomial Time Methods for Exact Low Rank Tensor Completion (with D. Xia), Foundations of Computational Mathematics , 19(6), 1265-1313.
Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy (with S. Wang et al.), IEEE Transactions on Image Processing , 28(9), 4471-4485.
Localizing Differentially Evolving Covariance Structures via Scan Statistics (with R. Mehta et al.), The Quarterly of Applied Mathematics , 77, 357-398.
Combined Hypothesis Testing on Graphs with Applications to Gene Set Enrichment Analysis (with S. Wang), Journal of the American Statistical Association , 114(527), 1320-1338.
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression (with H. Chen and G. Raskutti), Journal of Machine Learning Research , 20(5), 1-37.
Convex Regularization for High-Dimensional Tensor Regression (with G. Raskutti and H. Chen), The Annals of Statistics , 47(3), 1554-1584.
Efficient Multivariate Entropy Estimation via k-Nearest Neighbour Distances (with T.B. Berrett and R.J. Samworth), The Annals of Statistics , 47(1), 288-318.
Global Testing Against Sparse Alternatives under Ising Models (with R. Mukherjee and S. Mukherjee), The Annals of Statistics , 46(5), 2062-2093.
Sparse Recovery: From Vectors to Tensors (with Y. Wang and D. Meng), National Science Review , 5(5), 756-767.
Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age, (with S. Feld et al.), AMIA 2018 Informatics Summit .
Quantifying Predictive Capability of Electronic Health Records for the Most Harmful Breast Cancer (with Y. Wu et al.), SPIE Medical Imaging .
Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach (with S. Wang, E. Arena and K. Elicieri), IEEE Transactions on Image Processing , 27(2), 622-636.
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion (with C-H. Zhang), IEEE Transactions on Information Theory , 63(10), 6753-6766.
Quantitating the Cell: Turning Images into Numbers with ImageJ (with E. Arena et al.), WIREs Developmental Biology , 6(2), e260.
Breast Cancer Risk Prediction Using Electronic Health Records (with Y. Wu et al.), 2017 IEEE International Conference on Healthcare Informatics , 224-228.
Diverse Activities of Viral Cis-acting RNA Regulatory Elements Revealed Using Multi-color, Long- term, Single Cell Imaging (with G. Pocock et al.), Molecular Biology of the Cell , 28(3), 476-487.
Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation (with L. Zhang and G. Wahba), Journal of the Royal Statistical Society, Series B , 78(4), 849-867.
Efficient Portfolio Selection in a Large Market (with J. Chen), Journal of Financial Econometrics , 14(3), 496-524.
Minimax Optimal Rates of Estimation in High Dimensional Additive Models (with D-X. Zhou), The Annals of Statistics , 44(6), 2564-2593.
On Tensor Completion via Nuclear Norm Minimization (with C-H. Zhang), Foudations of Computational Mathematics , 16(4), 1031-1068.
Degrees of Freedom in Low Rank Matrix Estimation , Science China Mathematics , 59, 2485-2502.
Optimal Large-Scale Quantum State Tomography with Pauli Measurements (with T.T. Cai, D. Kim, Y. Wang and H. Zhou), The Annals of Statistics , 44(2), 682-712.
Comments on ‘‘Estimating Structured High-Dimensional Covariance and Precision Matrices: Optimal Rates and Adaptive Estimation’’ (with K. Balasubramanian), Electronic Journal of Statistics , 10(1), 71-73.
Structure-leveraged Methods in Breast Cancer Risk Prediction (with J. Fan et al.), Journal of Machine Learning Research , 17(85), 1-15.
Comparing Mammography Abnormality Features and Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy (with E. Burnside et al.), Academic Radiology , 23, 62-69.
Discriminatory Power of Common Genetic Variants in Personalized Breast Cancer Diagnosis (with Y. Wu et al.), Proceedings of SPIE 9787 , 978706.
Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph (with T.T. Cai), Journal of the American Statistical Association , 111(513), 253-265.
Risk Classification with an Adaptive Naive Bayes Kernel Machine Model (with J. Minnier, J. L
iu and T. Cai), Journal of the American Statistical Association , 110(509), 393-404.
Statistical Significance of Clustering using Soft Thresholding (with H. Huang, Y. Liu and J.S. Marron), Journal of Computational and Graphical Statistics , 24(4), 975-993.
Robust Learning for Estimating Individualized Treatment with Censored Data (with Y. Zhao et al.), Biometrika , 102(1), 151-168.
sparse representation for optimal individualized treatment selection with penalized outcome weighted learning (with R. Song et al.), Stat , 4(1), 59-68.
Memory Search as Initial-Visit Emitting Random Walk (with K-S. Jun et al.), NIPS , 1072-1080.
Independent Component Analysis via Nonparametric Maximum Likelihood Estimation (with R.J. Samworth), The Annals of Statistics , 40(6), 2973-3002.
Adaptive Covariance Matrix Estimation Through Block Thresholding (with T.T. Cai), The Annals of Statistics , 40(4), 2014-2042.
High Dimensional Semiparametric Gaussian Copula Graphical Models (with H. Liu, F. Han, J. Lafferty, and L. Wasserman), The Annals of Statistics , 40(4), 2293-2326.
Comments on ‘‘Latent Variable Graphical Model Selection via Convex Optimization’’ , The Annals of Statistics , 40(4), 1968-1972.
Minimax and Adaptive Prediction for Functional Linear Regression (with T.T. Cai), Journal of the American Statistical Association , 107(499), 1201-1216.
Comments on ‘‘Minimax Estimation of Large Covariance Matrices under l1 Norm’’ , Statistica Sinica , 22(4), 1373-1375.
A Direct Approach to Sparse Discriminant Analysis in Ultra-high Dimensions (with Q. Mai and H. Zou), Biometrika , 99(1), 29-42.
Signal Inhibition by the Dual-Specific Phosphatase 4 Impairs T Cell-Dependent B Cell Responses with Age (with M. Yu et al.), Proceedings of the National Academy of Sciences , 109(15), 5561-5563.
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression (with Z. Lu and R. Monteiro), Mathematical Programming , 131, 163-194.
Nonparanormal SKEPTIC (with H.Liu et al.), ICML .
Networks of Heterogeneous Influence (with N. Du et al.), NIPS .
An Empirical Bayes Approach to Joint Analysis of Multiple Microarray Gene Expression Studies (with L. Ruan), Biometrics , 67(4), 1617-1626.
l1 Regularized Support Vector Machines with a
Reject Option (with M. Wegkamp), Bernoulli , 17(4), 1368-1385.
Reinforced Multicategory Support Vector Machines (with Y. Liu), Journal of Computational and Graphical Statistics , 20(4), 901-919.
Optimal Estimation of the Mean Function Based on Discretely Sampled Functional Data: Phase Transition (with T.T. Cai), The Annals of Statistics , 39(5), 2330-2355.
Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models (with L. Ruan and H. Zou), Neural Computation , 23(6), 1605-1622.
On the Identifiability of Additive Index Models , Statistica Sinica , 21, 1901-1911.
A Bayesian Method for Calibrating Computer Models to Test Data (with Y. Lee, D. Mavris and V. Volovoi), Inverse Problems in Science and Engineering , 19(3), 395-408.
Sparsity in Multiple Kernel Learning (with V. Koltchinskii), The Annals of Statistics , 38(6), 3660-3695.
A Reproducing Kernel Hilbert Space Approach to Functional Linear Regression (with T.T. Cai), The Annals of Statistics , 38(6), 3412-3444.
Dimension Reduction and Parameter Estimation for Additive Index Models (with L. Ruan), Statistics and Its Interface , 3, 493-499.
Sparse Inverse Covariance Matrix Estimation via Linear Programming , Journal of Machine Learning Research , 11, 2261-2286.
Classification Methods with Reject Option Based on Convex Risk Minimization (with M. Wegkamp), Journal of Machine Learning Research , 11, 111-130.
Statistical Methods for Fighting Financial Crimes (with A. Sudjianto, S. Nair, A. Zhang, and D. Kern), Technometrics , 52, 5-19.
A Fault Diagnosis Method for Industrial Gas Turbines Using Bayesian Data Analysis (with Y. Lee, D. Mavris, V. Volovoi and T. Fisher), ASME Journal of Engineering for Gas Turbines and Power , 132(4), 041602.
Structured Variable Selection and Estimation (with R. Joseph and H. Zou), The Annals of Applied Statistics , 3(4), 1738-1757.
Efficient Global Approximation of Generalized Nonlinear l1 Regularized Solution Paths and Its Applications (with H. Zou), Journal of the American Statistical Association , 104, 1562-1574.
State Price Density Estimation via Nonparametric Mixtures , The Annals of Applied Statistics , 3, 963-984.
Large Gaussian Covariance Matrix Estimation with Markov Structures (with X. Deng), Journal of Computational and Graphical Statistics , 18, 640-657.
Regularized Parameter Estimation of High Dimensional t Distribution (with J. Huang), Journal of Statistical Planning and Inferences , 139, 2284-2292.
Sparse Recovery in Large Ensembles of Kernel Machines (with V. Koltchinskii), COLT 2008 , 229-238.
Efficient Computation of the l1 Regularized Solution Path in Gaussian Graphical Models , Journal of Computational and Graphical Statistics , 17, 809-826.
Composite Quantile Regression and The Oracle Model Selection Theory (with H. Zou), The Annals of Statistics ., 36, 1108-1126
Structured Variable Selection in Support Vector Machines (with S. Wu and H. Zou), Electronic Journal of Statistics , 2, 103-117.
Regularized Simultaneous Model Selection in Multiple Quantiles Regression (with H. Zou), Computational Statistics and Data Analysis , 52, 5296-5304.
The Finf-norm Support Vector Machine (with H. Zou), Statistica Sinica , 18(1), 379-398.
A Statistical Analysis of Memory CD8 T Cell Differentiation: An Application of a Hierarchical State Space Model to a Short Time Course Microarray Experiment (with H. Wu, S. Kaech and M. Halloran), The Annals of Applied Statistics , 1(2), 442-458.
An Efficient Variable Selection Approach for Analyzing Designed Experiments (with R. Joseph and Y. Lin), Technometrics , 49(4), 430-439.
Approximate Test Risk Bound Minimization through Soft Margin Estimation (with J. Li and C. Lee), IEEE Transaction on Acoustics, Speech, and Signal Processing , 15(8), 2393-2404.
Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression (with A. Ekici, Z. Lu and R. Monteiro), Journal of the Royal Statistical Society, Series B , 69(3), 329-346.
Gene Expression Profiling of Aging Reveals Activation of a p53-Mediated Transcriptional Program (with M. Edwards et al.), BMC Genomics , 8:80.
On the Nonnegative Garrote Estimator (with Y. Lin), Journal of the Royal Statistical Society, Series B , 69(2), 143-161.
Model Selection and Estimation in the Gaussian Graphical Model (with Y. Lin), Biometrika , 94(1), 19-35.
Nonnegative Garrote Component Selection in Functional ANOVA Models , AISTAT 2007 , 660-666.
Hidden Markov Models for Microarray Time Course Data under Multiple Biological Conditions (with C. Kendziorski), Journal of the American Statistical Association , 101(476), 1323-1340.
A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification (with C. Kendziorski), Biometrics , 62(4), 1089-1098.
Flexible Temporal Expression Profile Modeling Using the Gaussian Process , Computational Statistics and Data Analysis , 51(3), 1754-1764.
Convergence Rates of Compactly Supported Radial Basis Function Regularization (with Y. Lin), Statistica Sinica , 16(2), 425-439.
Statistical Methods for Expression Trait Loci (eQTL) Mapping (with C. Kendziorski, M. Chen, H. Lan and A. Attie), Biometrics , 62(1), 19-27.
GACV for Quantile Smoothing Splines , Computational Statistics and Data Analysis , 50(3), 813-829.
Model Selection and Estimation in Regression with Grouped Variables (with Y. Lin), Journal of the Royal Statistical Society, Series B , 68(1), 49-67.
Efficient Empirical Bayes Variable Selection and Estimation in Linear Models (with Y. Lin), Journal of the American Statistical Association , 100(472), 1215-1225.
Automatic Smoothing for Poisson Regression, Communications in Statistics – Theory and Methods , 34, 603-617.
Semi-parametric Censorship Model with Covariates, Test , 14(2), 489-514.
Doubly Penalized Likelihood Estimator in Heteroscedastic Regression (2004; with G. Wahba), Statistics and Probability Letters , 69(1), 11-20.
De-convolving Multivariate Density From Random Field (2003), Statistical Inference for Stochastic Processes , 6(2), 135-153.
A Central Limit Theorem for the Negatively Associated Random Field (2003; with C. Su and T. Hu), Journal of Theoretical Probability , 16(2), 309-323.
De-convolving Multidimensional Density from Partially Contaminated Observations (2002; with J. Chen), Journal of Statistical Planning and Inference , 104(1), 147-160.