Preservation properties of the Baskakov-Kantorovich operators. - Chungou Zhang; Zhihui Zhu (Comput. Math. Appl., 2009)

Characterizations of smoothness of functions in terms of the basis conjugate to Jacobi polynomials. - Zhongkai Li; Zhihui Zhu (J. Approx. Theory, 2009)

Design of Optimal Measurement Matrix for Compressive Detection. - Huang Bai; Zhihui Zhu; Gang Li 010; Sheng Li 005 (ISWCS, 2013)

On Projection Matrix Optimization for Compressive Sensing Systems. - Gang Li 010; Zhihui Zhu; Dehui Yang; Liping Chang; Huang Bai (IEEE Trans. Signal Process., 2013)

Adaptive Chosen-Plaintext Correlation Power Analysis. - Wenjing Hu; Liji Wu; An Wang 001; Xinjun Xie; Zhihui Zhu; Shun Luo (CIS, 2014)

Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries. - Zhihui Zhu; Michael B. Wakin (CoRR, 2015)

Fast computations for approximation and compression in Slepian spaces. - Santhosh Karnik; Zhihui Zhu; Michael B. Wakin; Justin K. Romberg; Mark A. Davenport (GlobalSIP, 2016)

Super-resolution in SAR imaging: Analysis with the atomic norm. - Zhihui Zhu; Gongguo Tang; Pawan Setlur; Sandeep Gogineni; Michael B. Wakin; Muralidhar Rangaswamy (SAM, 2016)

Robust Projection Matrix Design and Its Application in Compression. - Tao Hong 006; Zhihui Zhu (CoRR, 2016)

An efficient algorithm for designing projection matrix in compressive sensing based on alternating optimization. - Tao Hong 006; Huang Bai; Sheng Li 005; Zhihui Zhu (Signal Process., 2016)

A super-resolution algorithm for multiband signal identification. - Zhihui Zhu; Dehui Yang; Michael B. Wakin; Gongguo Tang (ACSSC, 2017)

Super-Resolution of complex exponentials from modulations with known waveforms. - Zhihui Zhu; Manuel Lopez-Santillana; Michael B. Wakin (CAMSAP, 2017)

Jazz: A companion to music for frequency estimation with missing data. - Qiuwei Li; Shuang Li 003; Hassan Mansour; Michael B. Wakin; Dehui Yang; Zhihui Zhu (ICASSP, 2017)

A new framework for designing incoherent sparsifying dictionaries. - Gang Li 010; Zhihui Zhu; Huang Bai; Aihua Yu (ICASSP, 2017)

Fast orthogonal approximations of sampled sinusoids and bandlimited signals. - Zhihui Zhu; Santhosh Karnik; Michael B. Wakin; Mark A. Davenport; Justin K. Romberg (ICASSP, 2017)

Geometry of Factored Nuclear Norm Regularization. - Qiuwei Li; Zhihui Zhu; Gongguo Tang (CoRR, 2017)

The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (CoRR, 2017)

Optimized Sparse Projections for Compressive Sensing. - Tao Hong 006; Xiao Li 009; Zhihui Zhu; Qiuwei Li (CoRR, 2017)

Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation. - Zhihui Zhu; Michael B. Wakin (CoRR, 2017)

Methods to enhance seismic faults and construct fault surfaces. - Xinming Wu; Zhihui Zhu (Comput. Geosci., 2017)

Image fusion based on complex-shearlet domain with guided filtering. - Shuaiqi Liu 001; Mingzhu Shi; Zhihui Zhu; Jie Zhao 008 (Multidimens. Syst. Signal Process., 2017)

SAR Image Denoising via Sparse Representation in Shearlet Domain Based on Continuous Cycle Spinning. - Shuaiqi Liu 001; Ming Liu; Peifei Li; Jie Zhao 008; Zhihui Zhu; Xuehu Wang (IEEE Trans. Geosci. Remote. Sens., 2017)

On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. - Zhihui Zhu; Michael B. Wakin (IEEE Trans. Inf. Theory, 2017)

Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. - Zhihui Zhu; Xiao Li 009; Kai Liu 018; Qiuwei Li (NeurIPS, 2018)

Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. - Zhihui Zhu; Yifan Wang; Daniel P. Robinson; Daniel Q. Naiman; René Vidal; Manolis C. Tsakiris (NeurIPS, 2018)

Convergence Analysis of Alternating Nonconvex Projections. - Zhihui Zhu; Xiao Li 009 (CoRR, 2018)

Global Optimality in Distributed Low-rank Matrix Factorization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (CoRR, 2018)

Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. - Zhihui Zhu; Yifan Wang; Daniel P. Robinson; Daniel Q. Naiman; René Vidal; Manolis C. Tsakiris (CoRR, 2018)

On joint optimization of sensing matrix and sparsifying dictionary for robust compressed sensing systems. - Gang Li 010; Zhihui Zhu; Xinming Wu; Beiping Hou (Digit. Signal Process., 2018)

SAR image denoising based on patch ordering in nonsubsample shearlet domain. - Shuaiqi Liu 001; Qi Hu; Pengfei Li; Jie Zhao 008; Zhihui Zhu (Turkish J. Electr. Eng. Comput. Sci., 2018)

Detection of crack eggs by image processing and soft-margin support vector machine. - Lanlan Wu; Qiaohua Wang; Dengfei Jie; Shucai Wang; Zhihui Zhu; Lirong Xiong (J. Comput. Methods Sci. Eng., 2018)

Speckle Suppression Based on Sparse Representation with Non-Local Priors. - Shuaiqi Liu 001; Qi Hu; Pengfei Li; Jie Zhao 008; Chong Wang 020; Zhihui Zhu (Remote. Sens., 2018)

On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm. - Zhihui Zhu; Gang Li 010; Jiajun Ding; Qiuwei Li; Xiongxiong He (SIAM J. Imaging Sci., 2018)

An efficient method for robust projection matrix design. - Tao Hong 006; Zhihui Zhu (Signal Process., 2018)

Online learning sensing matrix and sparsifying dictionary simultaneously for compressive sensing. - Tao Hong 006; Zhihui Zhu (Signal Process., 2018)

The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. - Zhihui Zhu; Santhosh Karnik; Mark A. Davenport; Justin Romberg; Michael B. Wakin (IEEE Signal Process. Lett., 2018)

ROAST: Rapid Orthogonal Approximate Slepian Transform. - Zhihui Zhu; Santhosh Karnik; Michael B. Wakin; Mark A. Davenport; Justin Romberg (IEEE Trans. Signal Process., 2018)

Global Optimality in Low-Rank Matrix Optimization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (IEEE Trans. Signal Process., 2018)

The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. - Qiuwei Li; Zhihui Zhu; Michael B. Wakin; Gongguo Tang (ACSSC, 2019)

Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach. - Qing Qu 001; Xiao Li 009; Zhihui Zhu (ACSSC, 2019)

The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. - Qiuwei Li; Xinshuo Yang; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (CAMSAP, 2019)

The Geometry of Equality-constrained Global Consensus Problems. - Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (ICASSP, 2019)

Noisy Dual Principal Component Pursuit. - Tianyu Ding; Zhihui Zhu; Tianjiao Ding; Yunchen Yang; Daniel P. Robinson; Manolis C. Tsakiris; René Vidal (ICML, 2019)

Alternating Minimizations Converge to Second-Order Optimal Solutions. - Qiuwei Li; Zhihui Zhu; Gongguo Tang (ICML, 2019)

Learning Deep Networks under Noisy Labels for Remote Sensing Image Scene Classification. - Yansheng Li 001; Yongjun Zhang 002; Zhihui Zhu (IGARSS, 2019)

A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. - Qing Qu 001; Xiao Li 009; Zhihui Zhu (NeurIPS, 2019)

A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. - Zhihui Zhu; Tianyu Ding; Daniel P. Robinson; Manolis C. Tsakiris; René Vidal (NeurIPS, 2019)

Distributed Low-rank Matrix Factorization With Exact Consensus. - Zhihui Zhu; Qiuwei Li; Xinshuo Yang; Gongguo Tang; Michael B. Wakin (NeurIPS, 2019)

Multi-Focus Image Fusion Based on Adaptive Dual-Channel Spiking Cortical Model in Non-Subsampled Shearlet Domain. - Shuaiqi Liu 001; Jie Wang 020; Yucong Lu; Hailiang Li; Jie Zhao 008; Zhihui Zhu (IEEE Access, 2019)

Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. - Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (CoRR, 2019)

Incremental Methods for Weakly Convex Optimization. - Xiao Li 009; Zhihui Zhu; Anthony Man-Cho So; Jason D. Lee (CoRR, 2019)

Compressed Sensing with Probability-based Prior Information. - Qianru Jiang; Sheng Li 005; Zhihui Zhu; Huang Bai; Xiongxiong He; Rodrigo C. de Lamare (CoRR, 2019)

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (CoRR, 2019)

Analysis of the Optimization Landscapes for Overcomplete Representation Learning. - Qing Qu 001; Yuexiang Zhai; Xiao Li 009; Yuqian Zhang; Zhihui Zhu (CoRR, 2019)

Mechanical Behaviors and Fatigue Performances of Ballastless Tracks Laid on Long-Span Cable-Stayed Bridges with Different Arrangements. - Xingwang Sheng; Weiqi Zheng; Zhihui Zhu (Sensors, 2019)

Optimized structured sparse sensing matrices for compressive sensing. - Tao Hong 006; Xiao Li 009; Zhihui Zhu; Qiuwei Li (Signal Process., 2019)

Speckle Suppression Based on Weighted Nuclear Norm Minimization and Grey Theory. - Shuaiqi Liu 001; Qi Hu; Pengfei Li; Jie Zhao 008; Ming Liu; Zhihui Zhu (IEEE Trans. Geosci. Remote. Sens., 2019)

Hankel Low-Rank Approximation for Seismic Noise Attenuation. - Chong Wang 020; Zhihui Zhu; Hanming Gu; Xinming Wu; Shuaiqi Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. - Zhihui Zhu; Xinyang Jiang; Feng Zheng; Xiaowei Guo; Feiyue Huang; Xing Sun 001; Wei-Shi Zheng 001 (AAAI, 2020)

Robust Homography Estimation via Dual Principal Component Pursuit. - Tianjiao Ding; Yunchen Yang; Zhihui Zhu; Daniel P. Robinson; René Vidal; Laurent Kneip; Manolis C. Tsakiris (CVPR, 2020)

Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. - Qing Qu 001; Yuexiang Zhai; Xiao Li 009; Yuqian Zhang; Zhihui Zhu (ICLR, 2020)

Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. - Chong You; Zhihui Zhu; Qing Qu 001; Yi Ma 001 (NeurIPS, 2020)

Orthant Based Proximal Stochastic Gradient Method for ℓ 1-Regularized Optimization. - Tianyi Chen; Tianyu Ding; Bo Ji 003; Guanyi Wang; Yixin Shi; Jing Tian; Sheng Yi; Xiao Tu; Zhihui Zhu (ECML/PKDD (3), 2020)

Diverse Region-Based CNN for Tongue Squamous Cell Carcinoma Classification With Raman Spectroscopy. - Hao Yan; Mingxin Yu; Jiabin Xia; Lianqing Zhu; Tao Zhang; Zhihui Zhu; Guangkai Sun (IEEE Access, 2020)

Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. - Qing Qu 001; Zhihui Zhu; Xiao Li 009; Manolis C. Tsakiris; John Wright 001; René Vidal (CoRR, 2020)

Orthant Based Proximal Stochastic Gradient Method for 𝓁1-Regularized Optimization. - Tianyi Chen; Tianyu Ding; Bo Ji 003; Guanyi Wang; Yixin Shi; Sheng Yi; Xiao Tu; Zhihui Zhu (CoRR, 2020)

The Global Optimization Geometry of Shallow Linear Neural Networks. - Zhihui Zhu; Daniel Soudry; Yonina C. Eldar; Michael B. Wakin (J. Math. Imaging Vis., 2020)

A new focus evaluation operator based on max-min filter and its application in high quality multi-focus image fusion. - Shuaiqi Liu 001; Yucong Lu; Jie Wang 020; Shaohai Hu; Jie Zhao 008; Zhihui Zhu (Multidimens. Syst. Signal Process., 2020)

Experimental Study on Vibration Characteristics of Unit-Plate Ballastless Track Systems Laid on Long-Span Bridges Using Full-Scale Test Rigs. - Weiqi Zheng; Xingwang Sheng; Zhihui Zhu; Tianjing Luo; Zecheng Liu (Sensors, 2020)

Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent. - Qing Qu 001; Xiao Li 009; Zhihui Zhu (SIAM J. Imaging Sci., 2020)

Nonconvex Robust Low-Rank Matrix Recovery. - Xiao Li 009; Zhihui Zhu; Anthony Man-Cho So; René Vidal (SIAM J. Optim., 2020)

The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. - Shuang Li 003; Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (IEEE Signal Process. Lett., 2020)

Design of Compressed Sensing System With Probability-Based Prior Information. - Qianru Jiang; Sheng Li 005; Zhihui Zhu; Huang Bai; Xiongxiong He; Rodrigo C. de Lamare (IEEE Trans. Multim., 2020)

Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. - Tianyu Ding; Zhihui Zhu; Manolis C. Tsakiris; René Vidal; Daniel P. Robinson (AISTATS, 2021)

CDFI: Compression-Driven Network Design for Frame Interpolation. - Tianyu Ding; Luming Liang; Zhihui Zhu; Ilya Zharkov (CVPR, 2021)

Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. - Tianyu Ding; Zhihui Zhu; René Vidal; Daniel P. Robinson (ICML, 2021)

Only Train Once: A One-Shot Neural Network Training And Pruning Framework. - Tianyi Chen; Bo Ji 003; Tianyu Ding; Biyi Fang; Guanyi Wang; Zhihui Zhu; Luming Liang; Yixin Shi; Sheng Yi; Xiao Tu (NeurIPS, 2021)

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. - Lijun Ding; Liwei Jiang; Yudong Chen 001; Qing Qu 001; Zhihui Zhu (NeurIPS, 2021)

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. - Sheng Liu; Xiao Li 026; Yuexiang Zhai; Chong You; Zhihui Zhu; Carlos Fernandez-Granda; Qing Qu 001 (NeurIPS, 2021)

A Geometric Analysis of Neural Collapse with Unconstrained Features. - Zhihui Zhu; Tianyu Ding; Jinxin Zhou; Xiao Li 026; Chong You; Jeremias Sulam; Qing Qu 001 (NeurIPS, 2021)

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (SIAM J. Optim., 2021)

Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification. - Yansheng Li 001; Yongjun Zhang 002; Zhihui Zhu (IEEE Trans. Cybern., 2021)

Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification. - Yansheng Li 001; Zhihui Zhu; Jin-Gang Yu; Yongjun Zhang 002 (IEEE Trans. Geosci. Remote. Sens., 2021)

The Global Optimization Geometry of Low-Rank Matrix Optimization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (IEEE Trans. Inf. Theory, 2021)

Factor-Bounded Nonnegative Matrix Factorization. - Kai Liu 018; Xiangyu Li; Zhihui Zhu; Lodewijk Brand; Hua Wang 007 (ACM Trans. Knowl. Discov. Data, 2021)

Learning Approach For Fast Approximate Matrix Factorizations. - Haiyan Yu; Zhen Qin; Zhihui Zhu (ICASSP, 2022)

Robust Training under Label Noise by Over-parameterization. - Sheng Liu; Zhihui Zhu; Qing Qu 001; Chong You (ICML, 2022)

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. - Jinxin Zhou; Xiao Li 026; Tianyu Ding; Chong You; Qing Qu 001; Zhihui Zhu (ICML, 2022)

Revisiting Sparse Convolutional Model for Visual Recognition. - Xili Dai; Mingyang Li; Pengyuan Zhai; Shengbang Tong; Xingjian Gao; Shao-Lun Huang; Zhihui Zhu; Chong You; Yi Ma 001 (NeurIPS, 2022)

Error Analysis of Tensor-Train Cross Approximation. - Zhen Qin; Alexander Lidiak; Zhexuan Gong; Gongguo Tang; Michael B. Wakin; Zhihui Zhu (NeurIPS, 2022)

Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. - Can Yaras; Peng Wang 098; Zhihui Zhu; Laura Balzano; Qing Qu 001 (NeurIPS, 2022)

Are All Losses Created Equal: A Neural Collapse Perspective. - Jinxin Zhou; Chong You; Xiao Li 026; Kangning Liu; Sheng Liu; Qing Qu 001; Zhihui Zhu (NeurIPS, 2022)

Sparsity-guided Network Design for Frame Interpolation. - Tianyu Ding; Luming Liang; Zhihui Zhu; Tianyi Chen; Ilya Zharkov (CoRR, 2022)

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. - Xiao Li 026; Sheng Liu; Jinxin Zhou; Xinyu Lu; Carlos Fernandez-Granda; Zhihui Zhu; Qing Qu 001 (CoRR, 2022)

Recovery and Generalization in Over-Realized Dictionary Learning. - Jeremias Sulam; Chong You; Zhihui Zhu (J. Mach. Learn. Res., 2022)

OTOv2: Automatic, Generic, User-Friendly. - Tianyi Chen; Luming Liang; Tianyu Ding; Zhihui Zhu; Ilya Zharkov (ICLR, 2023)

The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. - Can Yaras; Peng Wang 098; Wei Hu; Zhihui Zhu; Laura Balzano; Qing Qu 001 (CoRR, 2023)

Stable Tomography for Structured Quantum States. - Zhen Qin; Casey Jameson; Zhexuan Gong; Michael B. Wakin; Zhihui Zhu (CoRR, 2023)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. - Peng Wang 098; Xiao Li; Can Yaras; Zhihui Zhu; Laura Balzano; Wei Hu; Qing Qu 001 (CoRR, 2023)

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. - Tianyu Ding; Tianyi Chen; Haidong Zhu; Jiachen Jiang; Yiqi Zhong; Jinxin Zhou; Guangzhi Wang; Zhihui Zhu; Ilya Zharkov; Luming Liang (CoRR, 2023)

OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators. - Tianyi Chen; Tianyu Ding; Zhihui Zhu; Zeyu Chen; HsiangTao Wu; Ilya Zharkov; Luming Liang (CoRR, 2023)

Seismic Data Reconstruction and Denoising by Enhanced Hankel Low-Rank Matrix Estimation. - Chong Wang 020; Zhiyuan Gu; Zhihui Zhu (IEEE Trans. Geosci. Remote. Sens., 2023)

A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. - Xiao Li 009; Zhihui Zhu; Qiuwei Li; Kai Liu 018 (IEEE Trans. Knowl. Data Eng., 2023)

Effectiveness of information and communication technology(ICT) for addictive behaviors: An umbrella review of systematic reviews and meta-analysis of randomized controlled trials. - Haiyun Guo; Huayu Yang; Guojing Yuan; Zhihui Zhu; Kexin Zhang; Xueqing Zhang; Xiaoyan Lu; Jianghui Zhang; Jun Du; Haiyan Shi; Guifang Jin; Jiahu Hao; et al. (Comput. Hum. Behav., 2023)

DREAM: Diffusion Rectification and Estimation-Adaptive Models. - Jinxin Zhou; Tianyu Ding; Tianyi Chen; Jiachen Jiang; Ilya Zharkov; Zhihui Zhu; Luming Liang (CVPR, 2024)

A Global Geometric Analysis of Maximal Coding Rate Reduction. - Peng Wang 098; Huikang Liu; Druv Pai; Yaodong Yu; Zhihui Zhu; Qing Qu 001; Yi Ma 001 (ICML, 2024)

Generalized Neural Collapse for a Large Number of Classes. - Jiachen Jiang; Jinxin Zhou; Peng Wang 098; Qing Qu 001; Dustin G. Mixon; Chong You; Zhihui Zhu (ICML, 2024)

Quantum Exploration-based Reinforcement Learning for Efficient Robot Path Planning in Sparse-Reward Environment. - Chao Huang; Yibei Guo; Zhihui Zhu; Mei Si; Daniel Blankenberg; Rui Liu (RO-MAN, 2024)

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. - Zhen Qin; Michael B. Wakin; Zhihui Zhu (CoRR, 2024)

The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning. - Xi Chen; Zhihui Zhu; Andrew Perrault (CoRR, 2024)

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. - Tianyu Ding; Jinxin Zhou; Tianyi Chen; Zhihui Zhu; Ilya Zharkov; Luming Liang (CoRR, 2024)

Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition. - Zhen Qin; Zhihui Zhu (CoRR, 2024)

On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier. - Jiachen Jiang; Jinxin Zhou; Zhihui Zhu (CoRR, 2024)

Sample-Optimal Quantum State Tomography for Structured Quantum States in One Dimension. - Zhen Qin; Casey Jameson; Alireza Goldar; Michael B. Wakin; Zhexuan Gong; Zhihui Zhu (CoRR, 2024)

Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data. - Xinyi Ling; Bo Peng; Hanwen Du; Zhihui Zhu; Xia Ning (CoRR, 2024)

Analyzing and Improving Model Collapse in Rectified Flow Models. - Huminhao Zhu; Fangyikang Wang; Tianyu Ding; Qing Qu 001; Zhihui Zhu (CoRR, 2024)

Optimal Error Analysis of Channel Estimation for IRS-assisted MIMO Systems. - Zhen Qin; Zhihui Zhu (CoRR, 2024)

On the connection between least squares, regularization, and classical shadows. - Zhihui Zhu; Joseph M. Lukens; Brian T. Kirby (Quantum, 2024)

Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. - Zhen Qin; Xuwei Tan; Zhihui Zhu (IEEE Signal Process. Lett., 2024)

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. - Xiao Li 026; Sheng Liu; Jinxin Zhou; Xinyu Lu; Carlos Fernandez-Granda; Zhihui Zhu; Qing Qu 001 (Trans. Mach. Learn. Res., 2024)

Quantum State Tomography for Matrix Product Density Operators. - Zhen Qin; Casey Jameson; Zhexuan Gong; Michael B. Wakin; Zhihui Zhu (IEEE Trans. Inf. Theory, 2024)

Editorial Introduction to the Special Issue Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN). - Yi Ma 001; Yuejie Chi; Ivan Dokmanic; Bihan Wen; John N. Wright; Zhihui Zhu (IEEE J. Sel. Top. Signal Process., 2024)

The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards. - Xi Chen; Zhihui Zhu; Andrew Perrault (AAAI, 2025)

A Validation Approach to Over-parameterized Matrix and Image Recovery. - Lijun Ding; Zhen Qin; Liwei Jiang; Jinxin Zhou; Zhihui Zhu (CPAL, 2025)

Are all layers created equal: A neural collapse perspective. - Jinxin Zhou; Jiachen Jiang; Zhihui Zhu (CPAL, 2025)

Enhancing In-Plant Logistics Vehicle-Machine Interaction: A PDA Interface Optimization Study. - Mian Yan; Wenxian Zheng; Zhihui Zhu; Yang Chen; Mingxing Li 002; Weilong Niu; Wanshan Li; Fangtong Liu (HCI (63), 2025)

Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity. - Jiachen Jiang; Jinxin Zhou; Zhihui Zhu (ICLR, 2025)

Solution and application of two-dimensional seismic wavefield evolution based on physics-informed neural networks. - Zhihui Zhu; Zong Wang; Yang Feng; Weiqi Zheng (Eng. Appl. Artif. Intell., 2025)

Robust Low-Rank Tensor Train Recovery. - Zhen Qin; Zhihui Zhu (IEEE Trans. Signal Process., 2025)

Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling. - Xiao Li; Zekai Zhang; Xiang Li; Siyi Chen; Zhihui Zhu; Peng Wang 098; Qing Qu 001 (CoRR, 2025)

Cat-AIR: Content and Task-Aware All-in-One Image Restoration. - Jiachen Jiang; Tianyu Ding; Ke Zhang; Jinxin Zhou; Tianyi Chen; Ilya Zharkov; Zhihui Zhu; Luming Liang (CoRR, 2025)

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models. - Jiachen Jiang; Jinxin Zhou; Bo Peng; Xia Ning; Zhihui Zhu (CoRR, 2025)

From Compression to Expansion: A Layerwise Analysis of In-Context Learning. - Jiachen Jiang; Yuxin Dong; Jinxin Zhou; Zhihui Zhu (CoRR, 2025)

On the Convergence of Gradient Descent on Learning Transformers with Residual Connections. - Zhen Qin; Jinxin Zhou; Zhihui Zhu (CoRR, 2025)

Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations. - Yuxin Dong; Jiachen Jiang; Zhihui Zhu; Xia Ning (CoRR, 2025)

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models. - Xudong Zhu; Jiachen Jiang; Mohammad Mahdi Khalili; Zhihui Zhu (CoRR, 2025)

A Scalable Factorization Approach for High-Order Structured Tensor Recovery. - Zhen Qin; Michael B. Wakin; Zhihui Zhu (CoRR, 2025)

EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-Commerce Models. - Xinyi Ling; Hanwen Du; Zhihui Zhu; Xia Ning (CoRR, 2025)