Mo Zhou

1. A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
   2021/02/04 by Mo Zhou, Zhou, Mo, Rong Ge +3 · 4 citations
   Computer Science · #Neural Networks and Applications #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques
2. Chitosan Derivatives and Their Application in Biomedicine
   2020/01/12 by Wenqian Wang, Qiuyu Meng, Qi Li +4 · 3 citations
   Materials Science · Pharmacology, Toxicology and Pharmaceutics · #Advanced Drug Delivery Systems #Nanocomposite Films for Food Packaging #Nanoparticle-Based Drug Delivery
3. Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees
   2022/01/31 by Mo Zhou, Zhou, Mo, Jianfeng Lu +1 · 2 citations
   Engineering · Computer Science · #Frequency Control in Power Systems #Advanced Numerical Methods in Computational Mathematics #Adaptive Dynamic Programming Control
4. Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
   2022/10/07 by Xingyu Zhu, Zixuan Wang, Zhu, Xingyu +7 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #FOS: Mathematics #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Optimization and Control (math.OC)
5. A deep learning algorithm for computing mean field control problems via forward-backward score dynamics
   2024/01/17 by Mo Zhou, Stanley Osher, Zhou, Mo +3 · 2 citations
   Physics and Astronomy · Engineering · Economics, Econometrics and Finance · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Stochastic processes and financial applications
6. MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
   2024/02/03 by Yatong Bai, Bai, Yatong, Mo Zhou +5 · 2 citations
   Computer Science · #68T07 #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications
7. Understanding Deflation Process in Over-parametrized Tensor Decomposition
   2021/06/11 by Rong Ge, Ge, Rong, Yunwei Ren +5 · 1 citation
   Engineering · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
8. Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems
   2024/09/24 by Mo Zhou, Zhou, Mo, Stanley Osher +3 · 2 citations
   Computer Science · Physics and Astronomy · #34H05 #FOS: Computer and information sciences #FOS: Mathematics #G.1.7 #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Optimization and Control (math.OC)
9. How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks
   2024/06/03 by Mo Zhou, Zhou, Mo, Rong Ge +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
10. Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding
    2025/08/29 by Zhibin Wang, Wang, Zhibin, Zhonghui Zhang +18 · 1 citation
    Computer Science · #Target Tracking and Data Fusion in Sensor Networks #Anomaly Detection Techniques and Applications #Distributed Sensor Networks and Detection Algorithms