Ding‐Xuan Zhou

1. Towards Understanding the Spectral Bias of Deep Learning
   2019/12/03 by Yuan Cao, Zhiying Fang, Cao, Yuan +7 · 21 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
2. Universality of deep convolutional neural networks
   2019/06/13 by Ding-Xuan Zhou, Ding‐Xuan Zhou · 20 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications
3. Distributed filtered hyperinterpolation for noisy data on the sphere
   2019/10/06 by Shao-Bo Lin, Lin, Shao-Bo, Yu Guang Wang +3 · 4 citations
   Earth and Planetary Sciences · Computer Science · #Seismic Imaging and Inversion Techniques #Image and Signal Denoising Methods #Geophysics and Gravity Measurements
4. Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition
   2015/03/10 by Ming Yuan, Yuan, Ming, Ding‐Xuan Zhou +1 · 2 citations
   Mathematics · #Statistical Methods and Inference #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration
5. Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
   2023/05/26 by Puyu Wang, Yunwen Lei, Wang, Puyu +7 · 2 citations
   Computer Science · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
6. Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints
   2021/01/21 by Jinshan Zeng, Zeng, Jinshan, Wotao Yin +3 · 1 citation
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
7. Approximation of Nonlinear Functionals Using Deep ReLU Networks
   2023/04/10 by Linhao Song, Song, Linhao, Jun Fan +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
8. Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
   2014/12/17 by Jun Fan, Fan, Jun, Ting Hu +5 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
9. Nonlinear functional regression by functional deep neural network with kernel embedding
   2024/01/05 by Zhongjie Shi, Shi, Zhongjie, Jun Fan +7 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
10. Generalization analysis with deep ReLU networks for metric and similarity learning
    2024/05/10 by Junyu Zhou, Puyu Wang, Zhou, Junyu +3 · 1 citation
    Computer Science · #Educational and Technological Research #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
11. Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks
    2023/08/18 by Guanhang Lei, Zhen Lei, Lei, Guanhang +7 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA) #Statistics Theory (math.ST)