Longxiu Huang - RankMe

54 papers A* 1B 2C 1Misc 4Journal 43Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantile Randomized Kaczmarz Algorithm with Whitelist Trust Mechanism. CoRR Sofiia Shvaiko, Longxiu Huang, Elizaveta Rebrova
2026	J	`jnl`	Randomized Space-Time Sampling for Affine Graph Dynamical Systems. IEEE Trans. Inf. Theory Le Gong, Longxiu Huang
2025	B	`conf`	Exploiting Low-Rank Structures in Neural Networks with Iterative CUR Approximations. ICTAI Zixiong Gao, Longxiu Huang, Bowen Su, Tao Wang, Xu Zhang, Yusi Zhang
2025	J	`jnl`	Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA. CoRR Lanlan Feng, Ce Zhu, Yipeng Liu, Saiprasad Ravishankar, Longxiu Huang
2025	B	`conf`	Property Inheritance for Subtensors in Tensor Train Decompositions. ISIT HanQin Cai, Longxiu Huang
2025	J	`jnl`	Property Inheritance for Subtensors in Tensor Train Decompositions. CoRR HanQin Cai, Longxiu Huang
2025	J	`jnl`	Randomized Space-Time Sampling for Affine Graph Dynamical Systems. CoRR Le Gong, Longxiu Huang
2025	J	`jnl`	Three-dimensional signal processing: a new approach in dynamical sampling via tensor products. CoRR Yisen Wang, HanQin Cai, Longxiu Huang
2024	J	`jnl`	Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent. CoRR HanQin Cai, Longxiu Huang, Xiliang Lu, Juntao You
2024	J	`jnl`	Convolutional dynamical sampling and some new results. CoRR Longxiu Huang, A. Martina Neuman, Sui Tang, Yuying Xie
2024	J	`jnl`	Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition. CoRR Juefei Chen, Longxiu Huang, Yimin Wei
2024	J	`jnl`	Coseparable Nonnegative Tensor Factorization with t-CUR Decomposition. SIAM J. Matrix Anal. Appl. Juefei Chen, Longxiu Huang, Yimin Wei
2024	J	`jnl`	Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion. CoRR Bowen Su, Juntao You, HanQin Cai, Longxiu Huang
2024	Misc	`conf`	On the Robustness of Cross-Concentrated Sampling for Matrix Completion. CISS HanQin Cai, Longxiu Huang, Chandra Kundu, Bowen Su
2024	J	`jnl`	On the Robustness of Cross-Concentrated Sampling for Matrix Completion. CoRR HanQin Cai, Longxiu Huang, Chandra Kundu, Bowen Su
2024	J	`jnl`	Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field. CoRR Longxiu Huang, Dongyang Li, Sui Tang, Qing Yao
2024	J	`jnl`	Randomized Kaczmarz in Adversarial Distributed Setting. SIAM J. Sci. Comput. Longxiu Huang, Xia Li, Deanna Needell
2024	J	`jnl`	Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions. SIAM J. Imaging Sci. HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2024	A*	`conf`	Symmetric Matrix Completion with ReLU Sampling. ICML Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano
2024	J	`jnl`	Symmetric Matrix Completion with ReLU Sampling. CoRR Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano
2024	—	`conf`	Three-Dimensional Signal Processing: A New Approach in Dynamical Sampling Via Tensor Products. IEEECONF Yisen Wang, HanQin Cal, Longxiu Huang
2023	J	`jnl`	Distributed Randomized Kaczmarz for the Adversarial Workers. CoRR Longxiu Huang, Xia Li, Deanna Needell
2023	C	`conf`	Hyperspectral Band Selection Based on Matrix CUR Decomposition. IGARSS Katherine Henneberger, Longxiu Huang, Jing Qin
2023	J	`jnl`	Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. IEEE Trans. Pattern Anal. Mach. Intell. HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
2023	Misc	`conf`	Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling. ICASSP Zheng Tan, Longxiu Huang, HanQin Cai, Yifei Lou
2023	J	`jnl`	Non-convex approaches for low-rank tensor completion under tubal sampling. CoRR Zheng Tan, Longxiu Huang, HanQin Cai, Yifei Lou
2023	J	`jnl`	Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption. CoRR HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2023	Misc	`conf`	Space-Time Variable Density Samplings for Sparse Bandlimited Graph Signals Driven by Diffusion Operators. ICASSP Qing Yao, Longxiu Huang, Sui Tang
2022	J	`jnl`	Distributed randomized Kaczmarz for the adversarial workers. CoRR Xia Li, Longxiu Huang, Deanna Needell
2022	J	`jnl`	Guided Semi-Supervised Non-Negative Matrix Factorization. Algorithms Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
2022	J	`jnl`	Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents. CoRR Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
2022	J	`jnl`	Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. CoRR HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
2021	—	`conf`	Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition ICCVW HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition. CoRR HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2021	J	`jnl`	HOSVD-Based Algorithm for Weighted Tensor Completion. J. Imaging Zehan Chao, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. J. Mach. Learn. Res. HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Perturbations of CUR Decompositions. SIAM J. Matrix Anal. Appl. Keaton Hamm, Longxiu Huang
2021	J	`jnl`	Predictive algorithms in dynamical sampling for burst-like forcing terms. CoRR Akram Aldroubi, Longxiu Huang, Keri Kornelson, Ilya A. Krishtal
2021	J	`jnl`	Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation. IEEE Signal Process. Lett. HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
2021	J	`jnl`	Robust CUR Decomposition: Theory and Imaging Applications. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Robust CUR Decomposition: Theory and Imaging Applications. SIAM J. Imaging Sci. HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Robust recovery of bandlimited graph signals via randomized dynamical sampling. CoRR Longxiu Huang, Deanna Needell, Sui Tang
2020	—	`conf`	COVID-19 Literature Topic-Based Search via Hierarchical NMF. NLP4COVID@EMNLP Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell
2020	J	`jnl`	COVID-19 Literature Topic-Based Search via Hierarchical NMF. CoRR Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko
2020	J	`jnl`	HOSVD-Based Algorithm for Weighted Tensor Completion. CoRR Longxiu Huang, Deanna Needell
2020	J	`jnl`	Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
2020	J	`jnl`	Stability of Sampling for CUR Decompositions. CoRR Keaton Hamm, Longxiu Huang
2020	Misc	`conf`	Tensor Completion through Total Variation with Initialization from Weighted HOSVD. ITA Zehan Chao, Longxiu Huang, Deanna Needell
2020	J	`jnl`	Tensor Completion through Total Variationwith Initialization from Weighted HOSVD. CoRR Zehan Chao, Longxiu Huang, Deanna Needell
2019	J	`jnl`	CUR Decompositions, Approximations, and Perturbations. CoRR Keaton Hamm, Longxiu Huang
2019	J	`jnl`	Perspectives on CUR Decompositions. CoRR Keaton Hamm, Longxiu Huang
2019	J	`jnl`	Perturbations of CUR Decompositions. CoRR Keaton Hamm, Longxiu Huang
2017	J	`jnl`	On the Number of Neighbors in Normal Tiling. SIAM J. Discret. Math. Longxiu Huang, Tao Wang