Zhihui Zhu

Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data IJCNLP 2025 EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models IJCNLP 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity ICLR 2025 Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination JMLR 2025 A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 DREAM: Diffusion Rectification and Estimation-Adaptive Models CVPR 2024 Generalized Neural Collapse for a Large Number of Classes ICML 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024 OTOv2: Automatic, Generic, User-Friendly ICLR 2023 Are All Losses Created Equal: A Neural Collapse Perspective NeurIPS 2022 Error Analysis of Tensor-Train Cross Approximation NeurIPS 2022 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NeurIPS 2022 On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features ICML 2022 Recovery and Generalization in Over-Realized Dictionary Learning JMLR 2022 Revisiting Sparse Convolutional Model for Visual Recognition NeurIPS 2022 Robust Training under Label Noise by Over-parameterization ICML 2022 A Geometric Analysis of Neural Collapse with Unconstrained Features NeurIPS 2021 CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021 Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training NeurIPS 2021 Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms AISTATS 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery NeurIPS 2021 Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning ICLR 2020 Robust Homography Estimation via Dual Principal Component Pursuit CVPR 2020 Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization NeurIPS 2020 Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification AAAI 2020 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NeurIPS 2019 Alternating Minimizations Converge to Second-Order Optimal Solutions ICML 2019 A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution NeurIPS 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Noisy Dual Principal Component Pursuit ICML 2019 Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization NeurIPS 2018 Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NeurIPS 2018