Zhihui Zhu

1. Only Train Once: A One-Shot Neural Network Training And Pruning Framework
   2021/07/15 by Tianyi Chen, Bo Ji, Chen, Tianyi +18 · 1 voice · 7 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques
2. On the Optimization Landscape of Neural Collapse under MSE Loss: Global\n Optimality with Unconstrained Features
   2022/03/02 by Zhou, Jinxin, Li, Xiao, Tianyu Ding +9 · 9 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
   2024/06/20 by Jiachen Jiang, Jinxin Zhou, Jiang, Jiachen +3 · 9 citations
   Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Machine Learning and Algorithms
4. OTOV2: Automatic, Generic, User-Friendly
   2023/03/13 by Tianyi Chen, Luming Liang, Chen, Tianyi +7 · 4 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Multimodal Machine Learning Applications
5. Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
   2022/09/19 by Can Yaras, Yaras, Can, Peng Wang +7 · 3 citations
   Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging and Analysis #Signal Processing (eess.SP) #electronic engineering #information engineering
6. The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
   2023/06/01 by Can Yaras, Yaras, Can, Peng Wang +9 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
7. DREAM: Diffusion Rectification and Estimation-Adaptive Models
   2023/11/30 by Jinxin Zhou, Tianyu Ding, Zhou, Jinxin +11 · 2 citations
   Computer Science · Engineering · #Advanced Image Processing Techniques #Image and Signal Denoising Methods #Sparse and Compressive Sensing Techniques
8. Incremental Methods for Weakly Convex Optimization
   2019/07/26 by Li Xiao, Zhihui Zhu, Li, Xiao +5 · 1 citation
   Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Advanced Optimization Algorithms Research
9. Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
   2020/01/20 by Qing Qu, Zhihui Zhu, Qu, Qing +9 · 1 citation
   Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Image and Video Processing (eess.IV) #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #electronic engineering #information engineering
10. Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
    2023/11/06 by Peng Wang, Wang, Peng, Li Xiao +11 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition #Machine Learning and Data Classification
11. Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
    2025/02/09 by Xiao Li, Zekai Zhang, Li, Xiao +11 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
12. Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
    2024/01/05 by Zhen Qin, Michael B. Wakin, Qin, Zhen +3 · 3 citations
    Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Microwave Imaging and Scattering Analysis #Optimization and Control (math.OC) #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #electronic engineering #information engineering
13. The Global Optimization Geometry of Low-Rank Matrix Optimization
    2017/03/03 by Zhihui Zhu, Qiuwei Li, Zhu, Zhihui +5 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Matrix Theory and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
14. Error Analysis of Tensor-Train Cross Approximation
    2022/07/09 by Zhen Qin, Alexander Lidiak, Qin, Zhen +9 · 1 citation
    Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Solar and Space Plasma Dynamics #Tensor decomposition and applications
15. From Compression to Expression: A Layerwise Analysis of In-Context Learning
    2025/05/22 by Jiang, Jiachen, Yuxin Dong, Dong, Yuxin +4 · 4 citations
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Human Pose and Action Recognition
16. A Global Geometric Analysis of Maximal Coding Rate Reduction
    2024/06/04 by Peng Wang, Wang, Peng, Huikang Liu +11 · 1 citation
    Computer Science · Engineering · #Advanced Wireless Communication Techniques #Advanced Wireless Network Optimization #Error Correcting Code Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
17. Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation
    2017/11/21 by Zhihui Zhu, Michael B. Wakin, Zhu, Zhihui +1 · 1 citation
    Mathematics · #Mathematical Analysis and Transform Methods #Holomorphic and Operator Theory #Spectral Theory in Mathematical Physics
18. Optimal quantum state tomography with local informationally complete measurements
    2024/08/13 by Casey Jameson, Zhen Qin, Jameson, Casey +9 · 2 citations
    Computer Science · Physics and Astronomy · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum Physics (quant-ph)
19. From Emergence to Control: Probing and Modulating Self-Reflection in Language Models
    2025/06/13 by Xudong Zhu, Jiachen Jiang, Zhu, Xudong +5 · 3 citations
    Computer Science · #Topic Modeling
20. Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
    2020/06/16 by Chong You, Zhihui Zhu, You, Chong +5 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optical measurement and interference techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
21. Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations
    2025/06/10 by Yuxin Dong, Dong, Yuxin, Jiachen Jiang +5 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis