Zhu, Zhihui

42 publications

CPAL 2025 A Validation Approach to Over-Parameterized Matrix and Image Recovery Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu

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

CPAL 2025 Are All Layers Created Equal: A Neural Collapse Perspective Jinxin Zhou, Jiachen Jiang, Zhihui Zhu

NeurIPS 2025 Neural Collapse Under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data Hancheng Min, Zhihui Zhu, Rene Vidal

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

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

JMLR 2025 Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu

NeurIPS 2025 Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

ICML 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma

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

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

JMLR 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery Zhen Qin, Michael B. Wakin, Zhihui Zhu

NeurIPSW 2024 On Layer-Wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier Jiachen Jiang, Jinxin Zhou, Zhihui Zhu

NeurIPSW 2024 Understanding Diffusion-Based Representation Learning via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

TMLR 2024 Understanding and Improving Transfer Learning of Deep Models via Neural Collapse Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

NeurIPSW 2023 Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Matrix Factorizations Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu

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

NeurIPS 2022 Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu

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, Zhihui Zhu, Laura Balzano, Qing Qu

ICML 2022 On the Optimization Landscape of Neural Collapse Under MSE Loss: Global Optimality with Unconstrained Features Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu

JMLR 2022 Recovery and Generalization in Over-Realized Dictionary Learning Jeremias Sulam, Chong You, Zhihui Zhu

NeurIPS 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

ICML 2022 Robust Training Under Label Noise by Over-Parameterization Sheng Liu, Zhihui Zhu, Qing Qu, Chong You

AISTATS 2021 Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms Tianyu Ding, Zhihui Zhu, Manolis Tsakiris, Rene Vidal, Daniel Robinson

NeurIPS 2021 A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

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

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

ICML 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach Tianyu Ding, Zhihui Zhu, Rene Vidal, Daniel P Robinson

NeurIPS 2021 Only Train Once: A One-Shot Neural Network Training and Pruning Framework Tianyi Chen, Bo Ji, 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, Qing Qu, Zhihui Zhu

ICLR 2020 Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu

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

NeurIPS 2020 Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-Parameterization Chong You, Zhihui Zhu, Qing Qu, Yi Ma

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

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 Robinson, Manolis Tsakiris, René Vidal

NeurIPS 2019 A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution Qing Qu, Xiao Li, Zhihui Zhu

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

NeurIPS 2019 Distributed Low-Rank Matrix Factorization with Exact Consensus Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B Wakin

ICML 2019 Noisy Dual Principal Component Pursuit Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Rene Vidal, Manolis Tsakiris, Daniel Robinson

NeurIPS 2018 Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li

NeurIPS 2018 Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms Zhihui Zhu, Yifan Wang, Daniel Robinson, Daniel Naiman, René Vidal, Manolis Tsakiris