Zhihui Zhu - RankMe

196 papers A* 29A 1B 1C 2Misc 8Journal 140Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution. CoRR Jiachen Jiang, Tianyu Ding, Zhihui Zhu
2026	J	`jnl`	Embodied Science: Closing the Discovery Loop with Agentic Embodied AI. CoRR Xiang Zhuang, Chenyi Zhou, Kehua Feng, Zhihui Zhu, Yunfan Gao, Yijie Zhong, Yichi Zhang, Junjie Huang, Keyan Ding, Lei Bai, Haofen Wang, Qiang Zhang, Huajun Chen
2026	J	`jnl`	Evaluating Reward Model Generalization via Pairwise Maximum Discrepancy Competitions. CoRR Shunyang Luo, Peibei Cao, Zhihui Zhu, Kehua Feng, Zhihua Wang, Keyan Ding
2026	J	`jnl`	Improving Visual Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation. Trans. Mach. Learn. Res. Jinxin Zhou, Jiachen Jiang, Zhihui Zhu
2026	J	`jnl`	Joint values of temperature and wind actions on long-span bridges based on mixed copula with Bayesian selection approach. Reliab. Eng. Syst. Saf. Xingwang Sheng, Lin Chao, Weiqi Zheng, Yonghong Yang, Zhihui Zhu
2026	J	`jnl`	Optimal Error Analysis of Channel Estimation for IRS-Assisted MIMO Systems. IEEE Trans. Signal Process. Zhen Qin, Zhihui Zhu
2026	J	`jnl`	Seismic traffic risk assessment method for high-speed railway bridge networks based on multi-level running reliability. Reliab. Eng. Syst. Saf. Gaoyang Zhou, Zhihui Zhu, Weiqi Zheng, Fabio Biondini
2026	J	`jnl`	Uniform design-embedded predictions of (tetra-)peptide physicochemical properties. Bioinform. Zhihui Zhu, Huapeng Liu, Xuechen Li, Haojin Zhou, Jiaqi Wang
2025	J	`jnl`	A Scalable Factorization Approach for High-Order Structured Tensor Recovery. CoRR Zhen Qin, Michael B. Wakin, Zhihui Zhu
2025	—	`conf`	A Validation Approach to Over-parameterized Matrix and Image Recovery. CPAL Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu
2025	J	`jnl`	AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features. CoRR Xudong Zhu, Mohammad Mahdi Khalili, Zhihui Zhu
2025	J	`jnl`	Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models. CoRR Jiachen Jiang, Jinxin Zhou, Bo Peng, Xia Ning, Zhihui Zhu
2025	—	`conf`	Are all layers created equal: A neural collapse perspective. CPAL Jinxin Zhou, Jiachen Jiang, Zhihui Zhu
2025	—	`conf`	Can Reasoning LLMs Eliminate Conformity in Multi-Agent Systems? ICDM (Workshops) Alina Liu, Christopher Hill, Jiachen Jiang, Zhihui Zhu
2025	—	`conf`	Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data. IJCNLP-AACL (long papers) Xinyi Ling, Hanwen Du, Bo Peng, Zhihui Zhu, Xia Ning
2025	J	`jnl`	Cat-AIR: Content and Task-Aware All-in-One Image Restoration. CoRR Jiachen Jiang, Tianyu Ding, Ke Zhang, Jinxin Zhou, Tianyi Chen, Ilya Zharkov, Zhihui Zhu, Luming Liang
2025	J	`jnl`	ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical Reasoning. CoRR Yuqi Tang, Jing Yu, Zichang Su, Kehua Feng, Zhihui Zhu, Libin Wang, Lei Liang, Qiang Zhang, Keyan Ding, Huajun Chen
2025	J	`jnl`	CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning. CoRR Kehua Feng, Keyan Ding, Zhihui Zhu, Lei Liang, Qiang Zhang, Huajun Chen
2025	J	`jnl`	Computational and Statistical Guarantees for Tensor-on-Tensor Regression With Tensor Train Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Zhihui Zhu
2025	—	`ed.`	Conference on Parsimony and Learning, Stanford University, USA, 24-27 March 2025. CPAL Beidi Chen, Shijia Liu, Mert Pilanci, Weijie Su, Jeremias Sulam, Yuxiang Wang, Zhihui Zhu
2025	J	`jnl`	EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-Commerce Models. CoRR Xinyi Ling, Hanwen Du, Zhihui Zhu, Xia Ning
2025	—	`conf`	EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models. IJCNLP-AACL (long papers) Xinyi Ling, Hanwen Du, Zhihui Zhu, Xia Ning
2025	—	`conf`	Enhancing In-Plant Logistics Vehicle-Machine Interaction: A PDA Interface Optimization Study. HCI (63) Mian Yan, Wenxian Zheng, Zhihui Zhu, Yang Chen, Mingxing Li, Weilong Niu, Wanshan Li, Fangtong Liu
2025	J	`jnl`	From Compression to Expansion: A Layerwise Analysis of In-Context Learning. CoRR Jiachen Jiang, Yuxin Dong, Jinxin Zhou, Zhihui Zhu
2025	J	`jnl`	From Emergence to Control: Probing and Modulating Self-Reflection in Language Models. CoRR Xudong Zhu, Jiachen Jiang, Mohammad Mahdi Khalili, Zhihui Zhu
2025	J	`jnl`	Improving Visual Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation. CoRR Jinxin Zhou, Jiachen Jiang, Zhihui Zhu
2025	J	`jnl`	In-Context Learning for Non-Stationary MIMO Equalization. CoRR Jiachen Jiang, Zhen Qin, Zhihui Zhu
2025	J	`jnl`	Landscape Analysis of Simultaneous Blind Deconvolution and Phase Retrieval via Structured Low-Rank Tensor Recovery. CoRR Xiao Liang, Zhen Qin, Zhihui Zhu, Shuang Li
2025	J	`jnl`	Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data. CoRR Hancheng Min, Zhihui Zhu, René Vidal
2025	J	`jnl`	On the Convergence of Gradient Descent on Learning Transformers with Residual Connections. CoRR Zhen Qin, Jinxin Zhou, Zhihui Zhu
2025	J	`jnl`	Quantum State Tomography for Tensor Networks in Two Dimensions. CoRR Zhen Qin, Zhihui Zhu
2025	J	`jnl`	Robust Low-Rank Tensor Train Recovery. IEEE Trans. Signal Process. Zhen Qin, Zhihui Zhu
2025	J	`jnl`	Simulation and application of two-dimensional seismic wavefields with random sources using Fourier Neural Operator. Eng. Appl. Artif. Intell. Zhihui Zhu, Zong Wang, Jiexin Zhong, Weiqi Zheng
2025	J	`jnl`	Solution and application of two-dimensional seismic wavefield evolution based on physics-informed neural networks. Eng. Appl. Artif. Intell. Zhihui Zhu, Zong Wang, Yang Feng, Weiqi Zheng
2025	A*	`conf`	The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards. AAAI Xi Chen, Zhihui Zhu, Andrew Perrault
2025	A*	`conf`	Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity. ICLR Jiachen Jiang, Jinxin Zhou, Zhihui Zhu
2025	J	`jnl`	Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. J. Mach. Learn. Res. Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
2025	J	`jnl`	Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling. CoRR Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu
2025	J	`jnl`	Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations. CoRR Yuxin Dong, Jiachen Jiang, Zhihui Zhu, Xia Ning
2024	A*	`conf`	A Global Geometric Analysis of Maximal Coding Rate Reduction. ICML Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma
2024	J	`jnl`	A Global Geometric Analysis of Maximal Coding Rate Reduction. CoRR Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma
2024	J	`jnl`	AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang
2024	J	`jnl`	Analyzing and Improving Model Collapse in Rectified Flow Models. CoRR Huminhao Zhu, Fangyikang Wang, Tianyu Ding, Qing Qu, Zhihui Zhu
2024	J	`jnl`	Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data. CoRR Xinyi Ling, Bo Peng, Hanwen Du, Zhihui Zhu, Xia Ning
2024	J	`jnl`	Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition. CoRR Zhen Qin, Zhihui Zhu
2024	—	`ed.`	Conference on Parsimony and Learning, Hongkong, China, 3-6 January 2024. CPAL Yuejie Chi, Gintare Karolina Dziugaite, Qing Qu, Atlas Wang Wang, Zhihui Zhu
2024	J	`jnl`	Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. IEEE Signal Process. Lett. Zhen Qin, Xuwei Tan, Zhihui Zhu
2024	A*	`conf`	DREAM: Diffusion Rectification and Estimation-Adaptive Models. CVPR Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
2024	J	`jnl`	Editorial Introduction to the Special Issue Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN). IEEE J. Sel. Top. Signal Process. Yi Ma, Yuejie Chi, Ivan Dokmanic, Bihan Wen, John N. Wright, Zhihui Zhu
2024	A*	`conf`	Generalized Neural Collapse for a Large Number of Classes. ICML Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu
2024	J	`jnl`	Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. CoRR Zhen Qin, Michael B. Wakin, Zhihui Zhu
2024	J	`jnl`	Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. J. Mach. Learn. Res. Zhen Qin, Michael B. Wakin, Zhihui Zhu
2024	J	`jnl`	On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier. CoRR Jiachen Jiang, Jinxin Zhou, Zhihui Zhu
2024	J	`jnl`	On the connection between least squares, regularization, and classical shadows. Quantum Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
2024	J	`jnl`	Optimal Error Analysis of Channel Estimation for IRS-assisted MIMO Systems. CoRR Zhen Qin, Zhihui Zhu
2024	B	`conf`	Quantum Exploration-based Reinforcement Learning for Efficient Robot Path Planning in Sparse-Reward Environment. RO-MAN Chao Huang, Yibei Guo, Zhihui Zhu, Mei Si, Daniel Blankenberg, Rui Liu
2024	J	`jnl`	Quantum State Tomography for Matrix Product Density Operators. IEEE Trans. Inf. Theory Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu
2024	J	`jnl`	Robust Low-rank Tensor Train Recovery. CoRR Zhen Qin, Zhihui Zhu
2024	J	`jnl`	Sample-Optimal Quantum State Tomography for Structured Quantum States in One Dimension. CoRR Zhen Qin, Casey Jameson, Alireza Goldar, Michael B. Wakin, Zhexuan Gong, Zhihui Zhu
2024	J	`jnl`	The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning. CoRR Xi Chen, Zhihui Zhu, Andrew Perrault
2024	J	`jnl`	Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. Trans. Mach. Learn. Res. Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu
2023	J	`jnl`	A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. CoRR Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu
2023	J	`jnl`	A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu
2023	J	`jnl`	Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. CoRR Zhen Qin, Xuwei Tan, Zhihui Zhu
2023	J	`jnl`	DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
2023	J	`jnl`	Effectiveness of information and communication technology(ICT) for addictive behaviors: An umbrella review of systematic reviews and meta-analysis of randomized controlled trials. Comput. Hum. Behav. Haiyun Guo, Huayu Yang, Guojing Yuan, Zhihui Zhu, Kexin Zhang, Xueqing Zhang, Xiaoyan Lu, Jianghui Zhang, Jun Du, Haiyan Shi, Guifang Jin, Jiahu Hao, Ying Sun, Puyu Su, Zhihua Zhang
2023	J	`jnl`	Generalized Neural Collapse for a Large Number of Classes. CoRR Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu
2023	J	`jnl`	OTOV2: Automatic, Generic, User-Friendly. CoRR Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
2023	A*	`conf`	OTOv2: Automatic, Generic, User-Friendly. ICLR Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
2023	J	`jnl`	OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators. CoRR Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang
2023	J	`jnl`	On the connection between least squares, regularization, and classical shadows. CoRR Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
2023	J	`jnl`	Seismic Data Reconstruction and Denoising by Enhanced Hankel Low-Rank Matrix Estimation. IEEE Trans. Geosci. Remote. Sens. Chong Wang, Zhiyuan Gu, Zhihui Zhu
2023	J	`jnl`	Stable Tomography for Structured Quantum States. CoRR Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu
2023	J	`jnl`	The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. CoRR Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang
2023	J	`jnl`	The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. CoRR Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu
2023	J	`jnl`	Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. CoRR Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
2022	J	`jnl`	A Validation Approach to Over-parameterized Matrix and Image Recovery. CoRR Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu
2022	A*	`conf`	Are All Losses Created Equal: A Neural Collapse Perspective. NeurIPS Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
2022	J	`jnl`	Are All Losses Created Equal: A Neural Collapse Perspective. CoRR Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
2022	A*	`conf`	Error Analysis of Tensor-Train Cross Approximation. NeurIPS Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
2022	J	`jnl`	Error Analysis of Tensor-Train Cross Approximation. CoRR Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
2022	Misc	`conf`	Learning Approach For Fast Approximate Matrix Factorizations. ICASSP Haiyan Yu, Zhen Qin, Zhihui Zhu
2022	A*	`conf`	Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. NeurIPS Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
2022	J	`jnl`	Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. CoRR Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
2022	A*	`conf`	On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. ICML Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
2022	J	`jnl`	On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. CoRR Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
2022	J	`jnl`	Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. CoRR Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu
2022	J	`jnl`	Recovery and Generalization in Over-Realized Dictionary Learning. J. Mach. Learn. Res. Jeremias Sulam, Chong You, Zhihui Zhu
2022	A*	`conf`	Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	J	`jnl`	Revisiting Sparse Convolutional Model for Visual Recognition. CoRR Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	A*	`conf`	Robust Training under Label Noise by Over-parameterization. ICML Sheng Liu, Zhihui Zhu, Qing Qu, Chong You
2022	J	`jnl`	Robust Training under Label Noise by Over-parameterization. CoRR Sheng Liu, Zhihui Zhu, Qing Qu, Chong You
2022	J	`jnl`	Sparsity-guided Network Design for Frame Interpolation. CoRR Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov
2021	A*	`conf`	A Geometric Analysis of Neural Collapse with Unconstrained Features. NeurIPS Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
2021	J	`jnl`	A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
2021	A*	`conf`	CDFI: Compression-Driven Network Design for Frame Interpolation. CVPR Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
2021	J	`jnl`	CDFI: Compression-Driven Network Design for Frame Interpolation. CoRR Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
2021	A*	`conf`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. NeurIPS Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2021	J	`jnl`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. CoRR Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2021	A	`conf`	Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson
2021	A*	`conf`	Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson
2021	J	`jnl`	Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification. IEEE Trans. Cybern. Yansheng Li, Yongjun Zhang, Zhihui Zhu
2021	J	`jnl`	Factor-Bounded Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang
2021	J	`jnl`	Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. Yansheng Li, Zhihui Zhu, Jin-Gang Yu, Yongjun Zhang
2021	A*	`conf`	Only Train Once: A One-Shot Neural Network Training And Pruning Framework. NeurIPS Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
2021	J	`jnl`	Only Train Once: A One-Shot Neural Network Training And Pruning Framework. CoRR Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
2021	A*	`conf`	Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. NeurIPS Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
2021	J	`jnl`	Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
2021	J	`jnl`	The Global Optimization Geometry of Low-Rank Matrix Optimization. IEEE Trans. Inf. Theory Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2021	J	`jnl`	Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM J. Optim. Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
2020	J	`jnl`	A new focus evaluation operator based on max-min filter and its application in high quality multi-focus image fusion. Multidimens. Syst. Signal Process. Shuaiqi Liu, Yucong Lu, Jie Wang, Shaohai Hu, Jie Zhao, Zhihui Zhu
2020	J	`jnl`	Design of Compressed Sensing System With Probability-Based Prior Information. IEEE Trans. Multim. Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare
2020	J	`jnl`	Diverse Region-Based CNN for Tongue Squamous Cell Carcinoma Classification With Raman Spectroscopy. IEEE Access Hao Yan, Mingxin Yu, Jiabin Xia, Lianqing Zhu, Tao Zhang, Zhihui Zhu, Guangkai Sun
2020	J	`jnl`	Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent. SIAM J. Imaging Sci. Qing Qu, Xiao Li, Zhihui Zhu
2020	J	`jnl`	Experimental Study on Vibration Characteristics of Unit-Plate Ballastless Track Systems Laid on Long-Span Bridges Using Full-Scale Test Rigs. Sensors Weiqi Zheng, Xingwang Sheng, Zhihui Zhu, Tianjing Luo, Zecheng Liu
2020	J	`jnl`	Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal
2020	A*	`conf`	Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. ICLR Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
2020	J	`jnl`	Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal
2020	—	`conf`	Orthant Based Proximal Stochastic Gradient Method for ℓ ECML/PKDD (3) Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu
2020	J	`jnl`	Orthant Based Proximal Stochastic Gradient Method for 𝓁 CoRR Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu
2020	J	`jnl`	Recovery and Generalization in Over-Realized Dictionary Learning. CoRR Jeremias Sulam, Chong You, Zhihui Zhu
2020	A*	`conf`	Robust Homography Estimation via Dual Principal Component Pursuit. CVPR Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris
2020	A*	`conf`	Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS Chong You, Zhihui Zhu, Qing Qu, Yi Ma
2020	J	`jnl`	Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR Chong You, Zhihui Zhu, Qing Qu, Yi Ma
2020	J	`jnl`	The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2020	J	`jnl`	The Global Optimization Geometry of Shallow Linear Neural Networks. J. Math. Imaging Vis. Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin
2020	A*	`conf`	Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. AAAI Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun, Wei-Shi Zheng
2019	A*	`conf`	A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2019	A*	`conf`	A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. NeurIPS Qing Qu, Xiao Li, Zhihui Zhu
2019	J	`jnl`	A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. CoRR Qing Qu, Xiao Li, Zhihui Zhu
2019	A*	`conf`	Alternating Minimizations Converge to Second-Order Optimal Solutions. ICML Qiuwei Li, Zhihui Zhu, Gongguo Tang
2019	J	`jnl`	Analysis of the Optimization Landscapes for Overcomplete Representation Learning. CoRR Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
2019	J	`jnl`	Compressed Sensing with Probability-based Prior Information. CoRR Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare
2019	A*	`conf`	Distributed Low-rank Matrix Factorization With Exact Consensus. NeurIPS Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin
2019	Misc	`conf`	Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach. ACSSC Qing Qu, Xiao Li, Zhihui Zhu
2019	J	`jnl`	Hankel Low-Rank Approximation for Seismic Noise Attenuation. IEEE Trans. Geosci. Remote. Sens. Chong Wang, Zhihui Zhu, Hanming Gu, Xinming Wu, Shuaiqi Liu
2019	J	`jnl`	Incremental Methods for Weakly Convex Optimization. CoRR Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Jason D. Lee
2019	C	`conf`	Learning Deep Networks under Noisy Labels for Remote Sensing Image Scene Classification. IGARSS Yansheng Li, Yongjun Zhang, Zhihui Zhu
2019	J	`jnl`	Mechanical Behaviors and Fatigue Performances of Ballastless Tracks Laid on Long-Span Cable-Stayed Bridges with Different Arrangements. Sensors Xingwang Sheng, Weiqi Zheng, Zhihui Zhu
2019	J	`jnl`	Multi-Focus Image Fusion Based on Adaptive Dual-Channel Spiking Cortical Model in Non-Subsampled Shearlet Domain. IEEE Access Shuaiqi Liu, Jie Wang, Yucong Lu, Hailiang Li, Jie Zhao, Zhihui Zhu
2019	A*	`conf`	Noisy Dual Principal Component Pursuit. ICML Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2019	J	`jnl`	Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
2019	J	`jnl`	Optimized structured sparse sensing matrices for compressive sensing. Signal Process. Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li
2019	J	`jnl`	Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. CoRR Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2019	J	`jnl`	Speckle Suppression Based on Weighted Nuclear Norm Minimization and Grey Theory. IEEE Trans. Geosci. Remote. Sens. Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Ming Liu, Zhihui Zhu
2019	—	`conf`	The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. CAMSAP Qiuwei Li, Xinshuo Yang, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2019	Misc	`conf`	The Geometry of Equality-constrained Global Consensus Problems. ICASSP Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2019	Misc	`conf`	The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. ACSSC Qiuwei Li, Zhihui Zhu, Michael B. Wakin, Gongguo Tang
2019	J	`jnl`	Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. CoRR Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng, Xing Sun
2018	J	`jnl`	An efficient method for robust projection matrix design. Signal Process. Tao Hong, Zhihui Zhu
2018	J	`jnl`	Convergence Analysis of Alternating Nonconvex Projections. CoRR Zhihui Zhu, Xiao Li
2018	J	`jnl`	Detection of crack eggs by image processing and soft-margin support vector machine. J. Comput. Methods Sci. Eng. Lanlan Wu, Qiaohua Wang, Dengfei Jie, Shucai Wang, Zhihui Zhu, Lirong Xiong
2018	A*	`conf`	Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. NeurIPS Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li
2018	J	`jnl`	Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. CoRR Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li
2018	A*	`conf`	Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. NeurIPS Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
2018	J	`jnl`	Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. CoRR Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
2018	J	`jnl`	Global Optimality in Distributed Low-rank Matrix Factorization. CoRR Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2018	J	`jnl`	Global Optimality in Low-Rank Matrix Optimization. IEEE Trans. Signal Process. Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2018	J	`jnl`	Nonconvex Robust Low-rank Matrix Recovery. CoRR Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal
2018	J	`jnl`	On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm. SIAM J. Imaging Sci. Zhihui Zhu, Gang Li, Jiajun Ding, Qiuwei Li, Xiongxiong He
2018	J	`jnl`	On joint optimization of sensing matrix and sparsifying dictionary for robust compressed sensing systems. Digit. Signal Process. Gang Li, Zhihui Zhu, Xinming Wu, Beiping Hou
2018	J	`jnl`	Online learning sensing matrix and sparsifying dictionary simultaneously for compressive sensing. Signal Process. Tao Hong, Zhihui Zhu
2018	J	`jnl`	ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
2018	J	`jnl`	SAR image denoising based on patch ordering in nonsubsample shearlet domain. Turkish J. Electr. Eng. Comput. Sci. Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Zhihui Zhu
2018	J	`jnl`	Speckle Suppression Based on Sparse Representation with Non-Local Priors. Remote. Sens. Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Chong Wang, Zhihui Zhu
2018	J	`jnl`	The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. IEEE Signal Process. Lett. Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
2018	J	`jnl`	The Global Optimization Geometry of Shallow Linear Neural Networks. CoRR Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin
2017	Misc	`conf`	A new framework for designing incoherent sparsifying dictionaries. ICASSP Gang Li, Zhihui Zhu, Huang Bai, Aihua Yu
2017	Misc	`conf`	A super-resolution algorithm for multiband signal identification. ACSSC Zhihui Zhu, Dehui Yang, Michael B. Wakin, Gongguo Tang
2017	Misc	`conf`	Fast orthogonal approximations of sampled sinusoids and bandlimited signals. ICASSP Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg
2017	J	`jnl`	Geometry of Factored Nuclear Norm Regularization. CoRR Qiuwei Li, Zhihui Zhu, Gongguo Tang
2017	J	`jnl`	Global Optimality in Low-rank Matrix Optimization. CoRR Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2017	—	`conf`	Global optimality in low-rank matrix optimization. GlobalSIP Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2017	J	`jnl`	Image fusion based on complex-shearlet domain with guided filtering. Multidimens. Syst. Signal Process. Shuaiqi Liu, Mingzhu Shi, Zhihui Zhu, Jie Zhao
2017	Misc	`conf`	Jazz: A companion to music for frequency estimation with missing data. ICASSP Qiuwei Li, Shuang Li, Hassan Mansour, Michael B. Wakin, Dehui Yang, Zhihui Zhu
2017	J	`jnl`	Methods to enhance seismic faults and construct fault surfaces. Comput. Geosci. Xinming Wu, Zhihui Zhu
2017	J	`jnl`	On Collaborative Compressive Sensing Systems: The Framework, Design and Algorithm. CoRR Zhihui Zhu, Gang Li, Jiajun Ding, Qiuwei Li, Xiongxiong He
2017	J	`jnl`	On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. IEEE Trans. Inf. Theory Zhihui Zhu, Michael B. Wakin
2017	J	`jnl`	Optimized Sparse Projections for Compressive Sensing. CoRR Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li
2017	J	`jnl`	ROAST: Rapid Orthogonal Approximate Slepian Transform. CoRR Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
2017	J	`jnl`	SAR Image Denoising via Sparse Representation in Shearlet Domain Based on Continuous Cycle Spinning. IEEE Trans. Geosci. Remote. Sens. Shuaiqi Liu, Ming Liu, Peifei Li, Jie Zhao, Zhihui Zhu, Xuehu Wang
2017	—	`conf`	Super-Resolution of complex exponentials from modulations with known waveforms. CAMSAP Zhihui Zhu, Manuel Lopez-Santillana, Michael B. Wakin
2017	J	`jnl`	The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. CoRR Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
2017	J	`jnl`	The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. CoRR Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2017	J	`jnl`	Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation. CoRR Zhihui Zhu, Michael B. Wakin
2016	J	`jnl`	An efficient algorithm for designing projection matrix in compressive sensing based on alternating optimization. Signal Process. Tao Hong, Huang Bai, Sheng Li, Zhihui Zhu
2016	—	`conf`	Fast computations for approximation and compression in Slepian spaces. GlobalSIP Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport
2016	J	`jnl`	On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. CoRR Zhihui Zhu, Michael B. Wakin
2016	J	`jnl`	Robust Projection Matrix Design and Its Application in Compression. CoRR Tao Hong, Zhihui Zhu
2016	—	`conf`	Super-resolution in SAR imaging: Analysis with the atomic norm. SAM Zhihui Zhu, Gongguo Tang, Pawan Setlur, Sandeep Gogineni, Michael B. Wakin, Muralidhar Rangaswamy
2015	J	`jnl`	Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries. CoRR Zhihui Zhu, Michael B. Wakin
2014	C	`conf`	Adaptive Chosen-Plaintext Correlation Power Analysis. CIS Wenjing Hu, Liji Wu, An Wang, Xinjun Xie, Zhihui Zhu, Shun Luo
2013	—	`conf`	Design of Optimal Measurement Matrix for Compressive Detection. ISWCS Huang Bai, Zhihui Zhu, Gang Li, Sheng Li
2013	J	`jnl`	On Projection Matrix Optimization for Compressive Sensing Systems. IEEE Trans. Signal Process. Gang Li, Zhihui Zhu, Dehui Yang, Liping Chang, Huang Bai
2009	J	`jnl`	Characterizations of smoothness of functions in terms of the basis conjugate to Jacobi polynomials. J. Approx. Theory Zhongkai Li, Zhihui Zhu
2009	J	`jnl`	Preservation properties of the Baskakov-Kantorovich operators. Comput. Math. Appl. Chungou Zhang, Zhihui Zhu