Longxiu Huang

According to our database, Longxiu Huang authored at least 34 papers between 2017 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

Randomized Kaczmarz in Adversarial Distributed Setting.

Longxiu Huang, Xia Li, Deanna Needell

SIAM J. Sci. Comput., 2024

Coseparable Nonnegative Tensor Factorization with t-CUR Decomposition.

Juefei Chen, Longxiu Huang, Yimin Wei

SIAM J. Matrix Anal. Appl., 2024

Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field.

Longxiu Huang, Dongyang Li, Sui Tang, Qing Yao

CoRR, 2024

Convolutional dynamical sampling and some new results.

Longxiu Huang, A. Martina Neuman, Sui Tang, Yuying Xie

CoRR, 2024

Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion.

Bowen Su, Juntao You, HanQin Cai, Longxiu Huang

CoRR, 2024

Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent.

HanQin Cai, Longxiu Huang, Xiliang Lu, Juntao You

CoRR, 2024

Symmetric Matrix Completion with ReLU Sampling.

Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano

Proceedings of the Forty-first International Conference on Machine Learning, 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

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

HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

CoRR, 2023

Distributed Randomized Kaczmarz for the Adversarial Workers.

Longxiu Huang, Xia Li, Deanna Needell

CoRR, 2023

Hyperspectral Band Selection Based on Matrix CUR Decomposition.

Katherine Henneberger, Longxiu Huang, Jing Qin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Space-Time Variable Density Samplings for Sparse Bandlimited Graph Signals Driven by Diffusion Operators.

Qing Yao, Longxiu Huang, Sui Tang

Proceedings of the IEEE International Conference on Acoustics, 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

Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents.

Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell

CoRR, 2022

Guided Semi-Supervised Non-Negative Matrix Factorization.

Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell

Algorithms, 2022

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

Perturbations of CUR Decompositions.

Keaton Hamm, Longxiu Huang

SIAM J. Matrix Anal. Appl., 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

HOSVD-Based Algorithm for Weighted Tensor Completion.

Zehan Chao, Longxiu Huang, Deanna Needell

J. Imaging, 2021

Robust recovery of bandlimited graph signals via randomized dynamical sampling.

Longxiu Huang, Deanna Needell, Sui Tang

CoRR, 2021

Predictive algorithms in dynamical sampling for burst-like forcing terms.

Akram Aldroubi, Longxiu Huang, Keri Kornelson, Ilya A. Krishtal

CoRR, 2021

Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition.

HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

CoRR, 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

Tensor Completion through Total Variationwith Initialization from Weighted HOSVD.

Zehan Chao, Longxiu Huang, Deanna Needell

CoRR, 2020

HOSVD-Based Algorithm for Weighted Tensor Completion.

Longxiu Huang, Deanna Needell

CoRR, 2020

Stability of Sampling for CUR Decompositions.

Keaton Hamm, Longxiu Huang

CoRR, 2020

Tensor Completion through Total Variation with Initialization from Weighted HOSVD.

Zehan Chao, Longxiu Huang, Deanna Needell

Proceedings of the Information Theory and Applications Workshop, 2020

COVID-19 Literature Topic-Based Search via Hierarchical NMF.

Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2019

Perspectives on CUR Decompositions.

Keaton Hamm, Longxiu Huang

CoRR, 2019

CUR Decompositions, Approximations, and Perturbations.

Keaton Hamm, Longxiu Huang

CoRR, 2019

2017

On the Number of Neighbors in Normal Tiling.

Longxiu Huang, Tao Wang

SIAM J. Discret. Math., 2017