Structurally-constrained gradient descent for matrix factorization in haplotype assembly problems. - Changxiao Cai; Sujay Sanghavi; Haris Vikalo (ICASSP, 2016)

Structured Low-Rank Matrix Factorization for Haplotype Assembly. - Changxiao Cai; Sujay Sanghavi; Haris Vikalo (IEEE J. Sel. Top. Signal Process., 2016)

Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees. - Changxiao Cai; Gen Li 005; Yuejie Chi; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2019)

Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. - Changxiao Cai; Gen Li 005; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2019)

Conditional Rényi Divergence Saddlepoint and the Maximization of α-Mutual Information. - Changxiao Cai; Sergio Verdú (Entropy, 2019)

Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. - Gen Li 005; Changxiao Cai; Yuxin Chen 002; Yuantao Gu; Yuting Wei 001; Yuejie Chi (ICML, 2021)

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. - Gen Li 005; Changxiao Cai; Yuantao Gu; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2021)

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

Nonconvex Low-Rank Tensor Completion from Noisy Data. - Changxiao Cai; Gen Li 005; H. Vincent Poor; Yuxin Chen 002 (Oper. Res., 2022)

Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality. - Changxiao Cai; H. Vincent Poor; Yuxin Chen 002 (IEEE Trans. Inf. Theory, 2023)

Minimax-optimal trust-aware multi-armed bandits. - Changxiao Cai; Jiacheng Zhang (CoRR, 2024)

Provable acceleration for diffusion models under minimal assumptions. - Gen Li; Changxiao Cai (CoRR, 2024)

Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. - Gen Li 005; Changxiao Cai; Yuxin Chen 002; Yuting Wei 001; Yuejie Chi (Oper. Res., 2024)

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. - Gen Li 005; Changxiao Cai; H. Vincent Poor; Yuxin Chen 002 (IEEE Trans. Inf. Theory, 2025)

Minimax Optimality of the Probability Flow ODE for Diffusion Models. - Changxiao Cai; Gen Li (CoRR, 2025)

Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures. - Gen Li; Changxiao Cai; Yuting Wei (CoRR, 2025)

A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective. - Gen Li; Changxiao Cai (CoRR, 2025)