HanQin Cai

According to our database, HanQin Cai authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 2024

On the Robustness of Cross-Concentrated Sampling for Matrix Completion.

HanQin Cai, Longxiu Huang, Chandra Kundu, Bowen Su

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

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., August, 2023

Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion.

HanQin Cai, Jian-Feng Cai, Juntao You

SIAM J. Sci. Comput., June, 2023

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption.

HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

CoRR, 2023

Towards Constituting Mathematical Structures for Learning to Optimize.

Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai

Proceedings of the International Conference on Machine Learning, 2023

Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling.

Zheng Tan, Longxiu Huang, HanQin Cai, Yifei Lou

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling.

HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang

SIAM J. Optim., 2022

Riemannian CUR Decompositions for Robust Principal Component Analysis.

Keaton Hamm, Mohamed Meskini, HanQin Cai

Proceedings of the Topological, 2022

2021

Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery.

HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin

IEEE Trans. Signal Process., 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

Robust CUR Decomposition: Theory and Imaging Applications.

HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell

SIAM J. Imaging Sci., 2021

Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions.

HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell

J. Mach. Learn. Res., 2021

Curvature-Aware Derivative-Free Optimization.

Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin

CoRR, 2021

Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition.

HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

CoRR, 2021

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.

HanQin Cai, Jialin Liu, Wotao Yin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization.

HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin

Proceedings of the 38th International Conference on Machine Learning, 2021

Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition ^*.

HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

SCOBO: Sparsity-Aware Comparison Oracle Based Optimization.

HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang

CoRR, 2020

2019

Accelerated Alternating Projections for Robust Principal Component Analysis.

HanQin Cai, Jian-Feng Cai, Ke Wei

J. Mach. Learn. Res., 2019

Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction.

HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin

CoRR, 2019