Archiving and retrieval of sequential images from tomographic databases in PACS. - Chi-Ren Shyu; T. Tony Cai; Lynn S. Broderick (Storage and Retrieval for Image and Video Databases (SPIE), 1999)

On Recovery of Sparse Signals via ℓ1 Minimization - T. Tony Cai; Guangwu Xu; Jun Zhang 006 (CoRR, 2008)

Variance function estimation in multivariate nonparametric regression with fixed design. - T. Tony Cai; Michael Levine; Lie Wang 002 (J. Multivar. Anal., 2009)

On recovery of sparse signals via l1 minimization. - T. Tony Cai; Guangwu Xu; Jun Zhang 006 (IEEE Trans. Inf. Theory, 2009)

Stable recovery of sparse signals and an oracle inequality. - T. Tony Cai; Lie Wang 002; Guangwu Xu (IEEE Trans. Inf. Theory, 2010)

New bounds for restricted isometry constants. - T. Tony Cai; Lie Wang 002; Guangwu Xu (IEEE Trans. Inf. Theory, 2010)

Shifting inequality and recovery of sparse signals. - T. Tony Cai; Lie Wang 002; Guangwu Xu (IEEE Trans. Signal Process., 2010)

Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise. - T. Tony Cai; Lie Wang 002 (IEEE Trans. Inf. Theory, 2011)

Optimal Detection For Sparse Mixtures - T. Tony Cai; Yihong Wu 001 (CoRR, 2012)

Phase transition in limiting distributions of coherence of high-dimensional random matrices. - T. Tony Cai; Tiefeng Jiang (J. Multivar. Anal., 2012)

Recent results on sparse principle component analysis. - T. Tony Cai; Zongming Ma; Yihong Wu 001 (CAMSAP, 2013)

ROP: Matrix Recovery via Rank-One Projections. - T. Tony Cai; Anru Zhang (CoRR, 2013)

Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery - T. Tony Cai; Anru Zhang (CoRR, 2013)

Matrix completion via max-norm constrained optimization - T. Tony Cai; Wenxin Zhou (CoRR, 2013)

Distributions of angles in random packing on spheres. - T. Tony Cai; Jianqing Fan; Tiefeng Jiang (J. Mach. Learn. Res., 2013)

A max-norm constrained minimization approach to 1-bit matrix completion. - T. Tony Cai; Wen-Xin Zhou (J. Mach. Learn. Res., 2013)

Compressed Sensing and Affine Rank Minimization Under Restricted Isometry. - T. Tony Cai; Anru Zhang (IEEE Trans. Signal Process., 2013)

Robust and Computationally Feasible Community Detection in the Presence of Arbitrary Outlier Nodes. - T. Tony Cai; Xiaodong Li (CoRR, 2014)

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

High-dimensional sparse MANOVA. - T. Tony Cai; Yin Xia (J. Multivar. Anal., 2014)

Optimal Detection of Sparse Mixtures Against a Given Null Distribution. - T. Tony Cai; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2014)

Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices. - T. Tony Cai; Anru Zhang (IEEE Trans. Inf. Theory, 2014)

Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow. - T. Tony Cai; Xiaodong Li; Zongming Ma (CoRR, 2015)

Law of log determinant of sample covariance matrix and optimal estimation of differential entropy for high-dimensional Gaussian distributions. - T. Tony Cai; Tengyuan Liang; Harrison H. Zhou (J. Multivar. Anal., 2015)

Inference for high-dimensional differential correlation matrices. - T. Tony Cai; Anru Zhang (J. Multivar. Anal., 2016)

Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data. - T. Tony Cai; Anru Zhang (J. Multivar. Anal., 2016)

Optimal detection of weak positive latent dependence between two sequences of multiple tests. - Sihai Dave Zhao; T. Tony Cai; Hongzhe Li (J. Multivar. Anal., 2017)

On Detection and Structural Reconstruction of Small-World Random Networks. - T. Tony Cai; Tengyuan Liang; Alexander Rakhlin (IEEE Trans. Netw. Sci. Eng., 2017)

Statistical and Computational Limits for Sparse Matrix Detection. - T. Tony Cai; Yihong Wu 001 (CoRR, 2018)

The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy. - T. Tony Cai; Yichen Wang 005; Linjun Zhang (CoRR, 2019)

Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier. - T. Tony Cai; Hongji Wei (CoRR, 2019)

The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds. - T. Tony Cai; Yichen Wang 005; Linjun Zhang (CoRR, 2020)

Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information. - T. Tony Cai; Tengyuan Liang; Alexander Rakhlin (J. Mach. Learn. Res., 2020)

Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation. - T. Tony Cai; Hongji Wei (CoRR, 2021)

Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates. - T. Tony Cai; Hongzhe Li; Rong Ma (J. Mach. Learn. Res., 2021)

Transfer Learning for Contextual Multi-armed Bandits. - Changxiao Cai; T. Tony Cai; Hongzhe Li (CoRR, 2022)

Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data. - T. Tony Cai; Rong Ma (J. Mach. Learn. Res., 2022)

Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. - T. Tony Cai; Anru R. Zhang; Yuchen Zhou (IEEE Trans. Inf. Theory, 2022)

Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning. - T. Tony Cai; Yichen Wang 005; Linjun Zhang (CoRR, 2023)

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices. - T. Tony Cai; Dong Xia; Mengyue Zha (CoRR, 2024)

Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure. - T. Tony Cai; Hongming Pu (CoRR, 2024)

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests. - T. Tony Cai; Abhinav Chakraborty 002; Lasse Vuursteen (CoRR, 2024)

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints. - T. Tony Cai; Abhinav Chakraborty 002; Lasse Vuursteen (CoRR, 2024)

Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm. - Jingyang Li; T. Tony Cai; Dong Xia; Anru R. Zhang (CoRR, 2024)

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints. - T. Tony Cai; Abhinav Chakraborty 002; Lasse Vuursteen (CoRR, 2024)

Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms. - T. Tony Cai; Hongji Wei (J. Mach. Learn. Res., 2024)

Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms. - T. Tony Cai; Rong Ma (IEEE Trans. Inf. Theory, 2024)

SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models. - Prabrisha Rakshit; Zhenyu Wang; T. Tony Cai; Zijian Guo 003 (R J., 2025)