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Longxiu Huang
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Distributed Randomized Kaczmarz for the Adversarial Workers


Feb 24, 2023
Longxiu Huang, Xia Li, Deanna Needell

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Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling


Aug 20, 2022
HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell

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Distributed randomized Kaczmarz for the adversarial workers


Feb 28, 2022
Xia Li, Longxiu Huang, Deanna Needell

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


Jan 31, 2022
Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell

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* 14 pages, 4 figures 
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Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition


Aug 23, 2021
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

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* Accepted to Workshop on Robust Subspace Learning and Applications in Computer Vision, International Conference on Computer Vision (ICCV) 2021 
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Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions


Mar 19, 2021
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell

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Robust CUR Decomposition: Theory and Imaging Applications


Jan 05, 2021
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell

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Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation


Oct 14, 2020
HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang

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COVID-19 Literature Topic-Based Search via Hierarchical NMF


Sep 07, 2020
Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko

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CUR Decompositions, Approximations, and Perturbations


Apr 03, 2019
Keaton Hamm, Longxiu Huang

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* 40 pages 
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