Zhihua Zhang

1. On the Convergence of FedAvg on Non-IID Data
   2019/07/04 by Xiang Li, Li, Xiang, Kaixuan Huang +7 · 124 citations
   Computer Science · #Age of Information Optimization #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
2. Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
   2023/05/29 by Weijian Luo, Tianyang Hu, Luo, Weijian +9 · 42 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Machine Learning in Healthcare
3. A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
   2021/12/29 by Xiang Li, Li, Xiang, Wenhao Yang +7 · 5 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Receptor Mechanisms and Signaling #Reinforcement Learning in Robotics
4. Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction
   2021/03/15 by Yuze Han, Guangzeng Xie, Han, Yuze +3 · 7 citations
   Computer Science · Engineering · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
5. The Singular Value Decomposition, Applications and Beyond
   2015/10/29 by Zhihua Zhang, Zhang, Zhihua · 2 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
6. Robust Frequent Directions with Application in Online Learning
   2017/05/15 by Luo Luo, Cheng Chen, Luo, Luo +7 · 2 citations
   Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research
7. Robust Markov Decision Processes without Model Estimation
   2023/02/02 by Wenhao Yang, Yang, Wenhao, Han Wang +7 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
8. Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network
   2019/10/02 by Bin Dong, Dong, Bin, Jikai Hou +5 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
9. Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
   2023/10/28 by Boya Zhang, Weijian Luo, Zhang, Boya +3 · 2 citations
   Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Nuclear Materials and Properties
10. Combating desertification in China: Monitoring, control, management and revegetation
    2018/02/03 by Zhihua Zhang, Donald Huisingh · 1 citation
    Earth and Planetary Sciences · Environmental Science · Social Sciences · #Aeolian processes and effects #Forest, Soil, and Plant Ecology in China #Rangeland Management and Livestock Ecology
11. Towards More Efficient SPSD Matrix Approximation and CUR Matrix\n Decomposition
    2015/03/29 by Shusen Wang, Wang, Shusen, Zhihua Zhang +3 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
12. FedPower: Privacy-Preserving Distributed Eigenspace Estimation
    2021/03/01 by Xiao Guo, Guo, Xiao, Xiang Li +7 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Random Matrices and Applications #Stochastic Gradient Optimization Techniques
13. Explicit Superlinear Convergence Rates of The SR1 Algorithm
    2021/05/15 by Haishan Ye, Dachao Lin, Ye, Haishan +5 · 1 citation
    Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Iterative Methods for Nonlinear Equations #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
14. A Proximal Stochastic Quasi-Newton Algorithm
    2016/01/31 by Luo Luo, Luo, Luo, Zihao Chen +5 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
15. Sparse Adversarial Attack in Multi-agent Reinforcement Learning
    2022/05/19 by Yizheng Hu, Hu, Yizheng, Zhihua Zhang +1 · 1 citation
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Mosquito-borne diseases and control
16. Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
    2023/04/15 by Dachao Lin, Lin, Dachao, Yuze Han +5 · 1 citation
    Computer Science · #Cooperative Communication and Network Coding #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
17. Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation
    2024/10/19 by Xie, Chuhan, Jiadong Liang, Jin, Kaicheng +3 · 2 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications #Statistical and numerical algorithms
18. Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets
    2018/07/02 by Zhiming Zhou, Zhou, Zhiming, Yuxuan Song +13 · 3 citations
    Computer Science · #Advanced Image Processing Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
19. Enhancing Adversarial Robustness via Score-Based Optimization
    2023/07/10 by Boya Zhang, Zhang, Boya, Weijian Luo +3 · 1 citation
    Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare
20. Communication-Efficient Local Decentralized SGD Methods
    2019/10/21 by Xiang Li, Wenhao Yang, Li, Xiang +5 · 2 citations
    Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Robotics and Sensor-Based Localization #Sparse and Compressive Sensing Techniques
21. Statistical Efficiency of Distributional Temporal Difference Learning and Freedman's Inequality in Hilbert Spaces
    2024/03/09 by Peng Yang, Peng, Yang, Liangyu Zhang +3 · 1 citation
    Economics, Econometrics and Finance · #FOS: Computer and information sciences #Financial Risk and Volatility Modeling #Machine Learning (cs.LG) #Machine Learning (stat.ML)
22. PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest
    2026/07/24 by Olafur Gudmundsson, Bo Zhao, Huayi Liao +15
    #cs.IR #cs.LG