Qing Qu

1. The Emergence of Reproducibility and Generalizability in Diffusion Models
   2023/10/08 by Huijie Zhang, Jinfan Zhou, Zhang, Huijie +11 · 1 voice · 17 citations
   Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #cs.CV #cs.LG
2. On the Optimization Landscape of Neural Collapse under MSE Loss: Global\n Optimality with Unconstrained Features
   2022/03/02 by Zhou, Jinxin, Tianyu Ding, Li, Xiao +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. Robust Training under Label Noise by Over-parameterization
   2022/02/28 by Sheng Liu, Zhihui Zhu, Liu, Sheng +5 · 7 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
4. Are All Losses Created Equal: A Neural Collapse Perspective
   2022/10/04 by Jin‐Xin Zhou, Zhou, Jinxin, Chong You +11 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Optimization and Control (math.OC)
5. Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions
   2024/09/04 by Peng Wang, Wang, Peng, Huijie Zhang +9 · 11 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
6. Decoupled Data Consistency with Diffusion Purification for Image Restoration
   2024/03/10 by Xiang Li, Li, Xiang, Soo Min Kwon +7 · 8 citations
   Computer Science · #Image and Signal Denoising Methods #Medical Image Segmentation Techniques #Computer Graphics and Visualization Techniques
7. Generalized Neural Collapse for a Large Number of Classes
   2023/10/09 by Jiachen Jiang, Jinxin Zhou, Jiang, Jiachen +11 · 6 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
8. Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
   2024/06/06 by Can Yaras, Peng Wang, Yaras, Can +5 · 6 citations
   Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Signal Processing (eess.SP) #electronic engineering #information engineering
9. Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
   2024/10/31 by Xiang Li, Yixiang Dai, Li, Xiang +3 · 8 citations
   Environmental Science · #Soil Geostatistics and Mapping
10. Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
    2022/09/19 by Can Yaras, Peng Wang, Yaras, Can +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
11. Neural Collapse in Multi-label Learning with Pick-all-label Loss
    2023/10/24 by Pengyu Li, Xiao Li, Li, Pengyu +5 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Text and Document Classification Technologies
12. SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems
    2024/10/06 by Ismail Alkhouri, Shijun Liang, Alkhouri, Ismail +11 · 6 citations
    Engineering · #Sparse and Compressive Sensing Techniques #Microwave Imaging and Scattering Analysis
13. 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
14. Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
    2020/01/20 by Qing Qu, Qu, Qing, Zhihui Zhu +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
15. 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
16. Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
    2025/02/09 by Xiao Li, Li, Xiao, Zekai Zhang +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)
17. Understanding Generalization in Diffusion Distillation via Probability Flow Distance
    2025/05/26 by Huijie Zhang, Zhang, Huijie, Zijian Huang +11 · 4 citations
    Computer Science · #Bayesian Methods and Mixture Models #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
18. A Global Geometric Analysis of Maximal Coding Rate Reduction
    2024/06/04 by Peng Wang, Huikang Liu, Wang, Peng +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)
19. UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
    2025/05/16 by Shijun Liang, Liang, Shijun, Ismail Alkhouri +7 · 2 citations
    Computer Science · Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
20. Attention-Only Transformers via Unrolled Subspace Denoising
    2025/06/04 by Peng Wang, Wang, Peng, Yifu Lu +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
21. 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
22. Generalization of Diffusion Models Arises with a Balanced Representation Space
    2025/12/24 by Zekai Zhang, Zhang, Zekai, Xiao Li +11 · 1 citation
    Computer Science · Physics and Astronomy · Medicine · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Advanced Neuroimaging Techniques and Applications