Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction. - HanQin Cai; Jian-Feng Cai 001; Tianming Wang; Guojian Yin (CoRR, 2019)

Accelerated Alternating Projections for Robust Principal Component Analysis. - HanQin Cai; Jian-Feng Cai 001; Ke Wei 001 (J. Mach. Learn. Res., 2019)

SCOBO: Sparsity-Aware Comparison Oracle Based Optimization. - HanQin Cai; Daniel McKenzie; Wotao Yin; Zhenliang Zhang 001 (CoRR, 2020)

Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition *. - HanQin Cai; Zehan Chao; Longxiu Huang; Deanna Needell (ICCVW, 2021)

A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. - HanQin Cai; Yuchen Lou; Daniel McKenzie; Wotao Yin (ICML, 2021)

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. - HanQin Cai; Jialin Liu 003; Wotao Yin (NeurIPS, 2021)

Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition. - HanQin Cai; Zehan Chao; Longxiu Huang; Deanna Needell (CoRR, 2021)

Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. - HanQin Cai; Keaton Hamm; Longxiu Huang; Deanna Needell (J. Mach. Learn. Res., 2021)

Robust CUR Decomposition: Theory and Imaging Applications. - HanQin Cai; Keaton Hamm; Longxiu Huang; Deanna Needell (SIAM J. Imaging Sci., 2021)

Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation. - HanQin Cai; Keaton Hamm; Longxiu Huang; Jiaqi Li; Tao Wang (IEEE Signal Process. Lett., 2021)

Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery. - HanQin Cai; Jian-Feng Cai 001; Tianming Wang; Guojian Yin (IEEE Trans. Signal Process., 2021)

Riemannian CUR Decompositions for Robust Principal Component Analysis. - Keaton Hamm; Mohamed Meskini; HanQin Cai (TAG-ML, 2022)

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. - HanQin Cai; Daniel McKenzie; Wotao Yin; Zhenliang Zhang 001 (SIAM J. Optim., 2022)

Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling. - Zheng Tan; Longxiu Huang; HanQin Cai; Yifei Lou (ICASSP, 2023)

Towards Constituting Mathematical Structures for Learning to Optimize. - Jialin Liu 003; Xiaohan Chen; Zhangyang Wang; Wotao Yin; HanQin Cai (ICML, 2023)

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption. - HanQin Cai; Zehan Chao; Longxiu Huang; Deanna Needell (CoRR, 2023)

Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. - HanQin Cai; Jian-Feng Cai 001; Juntao You (SIAM J. Sci. Comput., 2023)

Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. - HanQin Cai; Longxiu Huang; Pengyu Li; Deanna Needell (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

On the Robustness of Cross-Concentrated Sampling for Matrix Completion. - HanQin Cai; Longxiu Huang; Chandra Kundu; Bowen Su (CISS, 2024)

Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent. - HanQin Cai; Longxiu Huang; Xiliang Lu; Juntao You (CoRR, 2024)

Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion. - Bowen Su; Juntao You; HanQin Cai; Longxiu Huang (CoRR, 2024)

S3Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching. - Xue Wang 010; Tian Zhou 004; Jianqing Zhu; Jialin Liu 003; Kun Yuan 001; Tao Yao; Wotao Yin; Rong Jin 001; HanQin Cai (CoRR, 2024)

Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees. - Chandler Smith; HanQin Cai; Abiy Tasissa (CoRR, 2024)

Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. - Paris Giampouras; HanQin Cai; René Vidal (CoRR, 2024)

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions. - HanQin Cai; Zehan Chao; Longxiu Huang; Deanna Needell (SIAM J. Imaging Sci., 2024)

S$^ text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. - Xue Wang 010; Tian Zhou 004; Jianqing Zhu; Jialin Liu 003; Kun Yuan 001; Tao Yao; Wotao Yin; Rong Jin 001; HanQin Cai (IEEE J. Sel. Top. Signal Process., 2024)

Laplacian Convolutional Representation for Traffic Time Series Imputation. - Xinyu Chen 002; Zhanhong Cheng; HanQin Cai; Nicolas Saunier; Lijun Sun 001 (IEEE Trans. Knowl. Data Eng., 2024)

Structured Sampling for Robust Euclidean Distance Geometry. - Chandra Kundu; Abiy Tasissa; HanQin Cai (CISS, 2025)

Explainable Adversarial Attacks on Coarse-to-Fine Classifiers. - Akram Heidarizadeh; Connor Hatfield; Lorenzo Lazzarotto; HanQin Cai; George K. Atia (ICASSP, 2025)

Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery. - HanQin Cai; Chandra Kundu; Jialin Liu 003; Wotao Yin (CoRR, 2025)

WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing. - Kai Han; Jin Wang 023; Yunhui Shi; Hanqin Cai; Nam Ling; Baocai Yin (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Three-dimensional signal processing: a new approach in dynamical sampling via tensor products. - Yisen Wang 009; Hanqin Cai; Longxiu Huang (CoRR, 2025)

Property Inheritance for Subtensors in Tensor Train Decompositions. - HanQin Cai; Longxiu Huang (CoRR, 2025)

A Dual Basis Approach for Structured Robust Euclidean Distance Geometry. - Chandra Kundu; Abiy Tasissa; HanQin Cai (CoRR, 2025)

Curvature-Aware Derivative-Free Optimization. - Bumsu Kim; Daniel McKenzie; HanQin Cai; Wotao Yin (J. Sci. Comput., 2025)

Correlating Time Series With Interpretable Convolutional Kernels. - Xinyu Chen 002; HanQin Cai; Fuqiang Liu; Jinhua Zhao (IEEE Trans. Knowl. Data Eng., 2025)

Data-Driven Discovery of Mobility Periodicity for Understanding Urban Transportation Systems. - Xinyu Chen 002; Qi Wang; Yunhan Zheng; Nina Cao; HanQin Cai; Jinhua Zhao (CoRR, 2025)