HanQin Cai - RankMe

60 papers A* 4B 1Misc 4Journal 49Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Dual Basis Approach for Structured Robust Euclidean Distance Geometry. CoRR Chandra Kundu, Abiy Tasissa, HanQin Cai
2025	J	`jnl`	Correlating Time Series With Interpretable Convolutional Kernels. IEEE Trans. Knowl. Data Eng. Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua Zhao
2025	J	`jnl`	Curvature-Aware Derivative-Free Optimization. J. Sci. Comput. Bumsu Kim, Daniel McKenzie, HanQin Cai, Wotao Yin
2025	J	`jnl`	Data-Driven Discovery of Mobility Periodicity for Understanding Urban Transportation Systems. CoRR Xinyu Chen, Qi Wang, Yunhan Zheng, Nina Cao, HanQin Cai, Jinhua Zhao
2025	J	`jnl`	Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery. CoRR HanQin Cai, Chandra Kundu, Jialin Liu, Wotao Yin
2025	J	`jnl`	Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems. IEEE Trans. Pattern Anal. Mach. Intell. Xinyu Chen, Dingyi Zhuang, HanQin Cai, Shenhao Wang, Jinhua Zhao
2025	J	`jnl`	Editorial: Optimization for low-rank data analysis: theory, algorithms and applications. Frontiers Appl. Math. Stat. HanQin Cai, Dong Xia, Ernest Domanaanmwi Ganaa, Abiy Tasissa
2025	Misc	`conf`	Explainable Adversarial Attacks on Coarse-to-Fine Classifiers. ICASSP Akram Heidarizadeh, Connor Hatfield, Lorenzo Lazzarotto, HanQin Cai, George K. Atia
2025	J	`jnl`	Explainable Adversarial Attacks on Coarse-to-Fine Classifiers. CoRR Akram Heidarizadeh, Connor Hatfield, Lorenzo Lazzarotto, HanQin Cai, George K. Atia
2025	A*	`conf`	Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. ICML Paris Giampouras, HanQin Cai, René Vidal
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`	Recovering Wasserstein Distance Matrices from Few Measurements. CoRR Muhammad Rana, Abiy Tasissa, HanQin Cai, Yakov Gavriyelov, Keaton Hamm
2025	Misc	`conf`	Structured Sampling for Robust Euclidean Distance Geometry. CISS Chandra Kundu, Abiy Tasissa, HanQin Cai
2025	J	`jnl`	Three-dimensional signal processing: a new approach in dynamical sampling via tensor products. CoRR Yisen Wang, HanQin Cai, Longxiu Huang
2025	J	`jnl`	WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing. ACM Trans. Multim. Comput. Commun. Appl. Kai Han, Jin Wang, Yunhui Shi, HanQin Cai, Nam Ling, Baocai Yin
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`	Correlating Time Series with Interpretable Convolutional Kernels. CoRR Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua Zhao
2024	J	`jnl`	Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion. CoRR Bowen Su, Juntao You, HanQin Cai, Longxiu Huang
2024	J	`jnl`	Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. CoRR Paris Giampouras, HanQin Cai, René Vidal
2024	J	`jnl`	Laplacian Convolutional Representation for Traffic Time Series Imputation. IEEE Trans. Knowl. Data Eng. Xinyu Chen, Zhanhong Cheng, HanQin Cai, Nicolas Saunier, Lijun Sun
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`	Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees. CoRR Chandler Smith, HanQin Cai, Abiy Tasissa
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	J	`jnl`	S CoRR Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	J	`jnl`	S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. IEEE J. Sel. Top. Signal Process. Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	J	`jnl`	Structured Sampling for Robust Euclidean Distance Geometry. CoRR Chandra Kundu, Abiy Tasissa, HanQin Cai
2024	J	`jnl`	WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing. CoRR Kai Han, Jin Wang, Yunhui Shi, HanQin Cai, Nam Ling, Baocai Yin
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	J	`jnl`	Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. SIAM J. Sci. Comput. HanQin Cai, Jian-Feng Cai, Juntao You
2023	A*	`conf`	Towards Constituting Mathematical Structures for Learning to Optimize. ICML Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2023	J	`jnl`	Towards Constituting Mathematical Structures for Learning to Optimize. CoRR Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2022	J	`jnl`	Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. CoRR HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
2022	—	`conf`	Riemannian CUR Decompositions for Robust Principal Component Analysis. TAG-ML Keaton Hamm, Mohamed Meskini, HanQin Cai
2022	J	`jnl`	Riemannian CUR Decompositions for Robust Principal Component Analysis. CoRR Keaton Hamm, Mohamed Meskini, HanQin Cai
2022	J	`jnl`	Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. CoRR HanQin Cai, Jian-Feng Cai, Juntao You
2022	J	`jnl`	Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. SIAM J. Optim. HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2021	A*	`conf`	A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. ICML HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
2021	J	`jnl`	A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. CoRR HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
2021	J	`jnl`	Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery. IEEE Trans. Signal Process. HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin
2021	J	`jnl`	Curvature-Aware Derivative-Free Optimization. CoRR Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin
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	A*	`conf`	Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. NeurIPS HanQin Cai, Jialin Liu, Wotao Yin
2021	J	`jnl`	Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. CoRR HanQin Cai, Jialin Liu, Wotao Yin
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`	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
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`	SCOBO: Sparsity-Aware Comparison Oracle Based Optimization. CoRR HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2020	J	`jnl`	Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. CoRR HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2019	J	`jnl`	Accelerated Alternating Projections for Robust Principal Component Analysis. J. Mach. Learn. Res. HanQin Cai, Jian-Feng Cai, Ke Wei
2019	J	`jnl`	Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction. CoRR HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin
2017	J	`jnl`	Accelerated Alternating Projections for Robust Principal Component Analysis. CoRR HanQin Cai, Jian-Feng Cai, Ke Wei