HanQin Cai

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Matrix Completion

Principal Component Analysis

Uniform Sampling

Missing Entries

Top Venues

SIAM J. Imaging Sci.

J. Mach. Learn. Res.

Publications

HanQin Cai, Longxiu Huang, Xiliang Lu, Juntao You
Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent. CoRR (2024)
Bowen Su, Juntao You, HanQin Cai, Longxiu Huang
Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion. CoRR (2024)
HanQin Cai, Longxiu Huang, Chandra Kundu, Bowen Su
On the Robustness of Cross-Concentrated Sampling for Matrix Completion. CISS (2024)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions. SIAM J. Imaging Sci. 17 (1) (2024)
HanQin Cai, Longxiu Huang, Chandra Kundu, Bowen Su
On the Robustness of Cross-Concentrated Sampling for Matrix Completion. CoRR (2024)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
Towards Constituting Mathematical Structures for Learning to Optimize. ICML (2023)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
Towards Constituting Mathematical Structures for Learning to Optimize. CoRR (2023)
Zheng Tan, Longxiu Huang, HanQin Cai, Yifei Lou
Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling. ICASSP (2023)
HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
HanQin Cai, Jian-Feng Cai, Juntao You
Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. SIAM J. Sci. Comput. 45 (3) (2023)
Zheng Tan, Longxiu Huang, HanQin Cai, Yifei Lou
Non-convex approaches for low-rank tensor completion under tubal sampling. CoRR (2023)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption. CoRR (2023)
HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. CoRR (2022)
Keaton Hamm, Mohamed Meskini, HanQin Cai
Riemannian CUR Decompositions for Robust Principal Component Analysis. TAG-ML (2022)
HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. SIAM J. Optim. 32 (2) (2022)
Keaton Hamm, Mohamed Meskini, HanQin Cai
Riemannian CUR Decompositions for Robust Principal Component Analysis. CoRR (2022)
HanQin Cai, Jian-Feng Cai, Juntao You
Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. CoRR (2022)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. CoRR (2021)
HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. CoRR (2021)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
. ICCVW (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Robust CUR Decomposition: Theory and Imaging Applications. SIAM J. Imaging Sci. 14 (4) (2021)
HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. ICML (2021)
Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin
Curvature-Aware Derivative-Free Optimization. CoRR (2021)
HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery. IEEE Trans. Signal Process. 69 (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation. IEEE Signal Process. Lett. 28 (2021)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition. CoRR (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Robust CUR Decomposition: Theory and Imaging Applications. CoRR (2021)
HanQin Cai, Jialin Liu, Wotao Yin
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. NeurIPS (2021)
HanQin Cai, Jialin Liu, Wotao Yin
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. CoRR (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. J. Mach. Learn. Res. 22 (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation. CoRR (2020)
HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. CoRR (2020)
HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
SCOBO: Sparsity-Aware Comparison Oracle Based Optimization. CoRR (2020)
HanQin Cai, Jian-Feng Cai, Ke Wei
Accelerated Alternating Projections for Robust Principal Component Analysis. J. Mach. Learn. Res. 20 (2019)
HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin
Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction. CoRR (2019)
HanQin Cai, Jian-Feng Cai, Ke Wei
Accelerated Alternating Projections for Robust Principal Component Analysis. CoRR (2017)