On the Number of Neighbors in Normal Tiling. - Longxiu Huang; Tao Wang (SIAM J. Discret. Math., 2017)

CUR Decompositions, Approximations, and Perturbations. - Keaton Hamm; Longxiu Huang (CoRR, 2019)

Perspectives on CUR Decompositions. - Keaton Hamm; Longxiu Huang (CoRR, 2019)

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 (NLP4COVID@EMNLP, 2020)

Tensor Completion through Total Variation with Initialization from Weighted HOSVD. - Zehan Chao; Longxiu Huang; Deanna Needell (ITA, 2020)

Stability of Sampling for CUR Decompositions. - Keaton Hamm; Longxiu Huang (CoRR, 2020)

HOSVD-Based Algorithm for Weighted Tensor Completion. - Longxiu Huang; Deanna Needell (CoRR, 2020)

Tensor Completion through Total Variationwith Initialization from Weighted HOSVD. - Zehan Chao; Longxiu Huang; Deanna Needell (CoRR, 2020)

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

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

Predictive algorithms in dynamical sampling for burst-like forcing terms. - Akram Aldroubi; Longxiu Huang; Keri Kornelson; Ilya A. Krishtal (CoRR, 2021)

Robust recovery of bandlimited graph signals via randomized dynamical sampling. - Longxiu Huang; Deanna Needell; Sui Tang (CoRR, 2021)

HOSVD-Based Algorithm for Weighted Tensor Completion. - Zehan Chao; Longxiu Huang; Deanna Needell (J. Imaging, 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)

Perturbations of CUR Decompositions. - Keaton Hamm; Longxiu Huang (SIAM J. Matrix Anal. Appl., 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)

Guided Semi-Supervised Non-Negative Matrix Factorization. - Pengyu Li; Christine Tseng; Yaxuan Zheng; Joyce A. Chew; Longxiu Huang; Benjamin Jarman; Deanna Needell (Algorithms, 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)

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

Space-Time Variable Density Samplings for Sparse Bandlimited Graph Signals Driven by Diffusion Operators. - Qing Yao; Longxiu Huang; Sui Tang (ICASSP, 2023)

Hyperspectral Band Selection Based on Matrix CUR Decomposition. - Katherine Henneberger; Longxiu Huang; Jing Qin (IGARSS, 2023)

Distributed Randomized Kaczmarz for the Adversarial Workers. - Longxiu Huang; Xia Li; Deanna Needell (CoRR, 2023)

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

Three-Dimensional Signal Processing: A New Approach in Dynamical Sampling Via Tensor Products. - Yisen Wang 009; HanQin Cal; Longxiu Huang (IEEECONF, 2024)

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

Symmetric Matrix Completion with ReLU Sampling. - Huikang Liu; Peng Wang 098; Longxiu Huang; Qing Qu 001; Laura Balzano (ICML, 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)

Convolutional dynamical sampling and some new results. - Longxiu Huang; A. Martina Neuman; Sui Tang; Yuying Xie (CoRR, 2024)

Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field. - Longxiu Huang; Dongyang Li; Sui Tang; Qing Yao (CoRR, 2024)

Coseparable Nonnegative Tensor Factorization with t-CUR Decomposition. - Juefei Chen; Longxiu Huang; Yimin Wei 001 (SIAM J. Matrix Anal. Appl., 2024)

Randomized Kaczmarz in Adversarial Distributed Setting. - Longxiu Huang; Xia Li; Deanna Needell (SIAM J. Sci. Comput., 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)

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA. - Lanlan Feng; Ce Zhu; Yipeng Liu 001; Saiprasad Ravishankar; Longxiu Huang (CoRR, 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)