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Yang, Yahong

  1. Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
    2023/05/15 by Yang, Yahong, Yang, Haizhao, Xiang, Yang · 5 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  2. Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces
    2023/10/16 by Yang, Yahong, Wu, Yue, Yang, Haizhao +1 · 4 citations
    #FOS: Mathematics #Numerical Analysis (math.NA)
  3. Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
    2024/05/23 by Chuqi Chen, Chen, Chuqi, Yahong Yang +5 · 4 citations
    Computer Science · Engineering · Mathematics · #Advanced Data Processing Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA) #Statistical and numerical algorithms
  4. Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
    2024/01/31 by Yahong Yang, Juncai He, Yang, Yahong +1 · 3 citations
    Decision Sciences · Engineering · #Fatigue and fracture mechanics #Probabilistic and Robust Engineering Design #cs.LG #cs.NA #math.NA #stat.ML
  5. Multiscale Neural Networks for Approximating Green's Functions
    2024/10/24 by Hao, Wenrui, Li, Rui Peng, Xi, Yuanzhe +2 · 4 citations
    #65N55 #65N80 #68T07 #FOS: Mathematics #Numerical Analysis (math.NA)
  6. Learn Singularly Perturbed Solutions via Homotopy Dynamics
    2025/02/01 by Chuqi Chen, Chen, Chuqi, Yahong Yang +5 · 3 citations
    Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #FOS: Mathematics #Fractional Differential Equations Solutions #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  7. Convergence from Atomistic Model to Peierls-Nabarro Model for Dislocations in Bilayer System with Complex Lattice
    2021/03/17 by Yahong Yang, Yang, Yahong, T. Luo +3 · 1 citation
    Materials Science · Mathematics · Physics and Astronomy · #35Q70 #35Q74 #74A50 #74G10 #Analysis of PDEs (math.AP) #Block Copolymer Self-Assembly #FOS: Mathematics #Nonlinear Partial Differential Equations #Numerical Analysis (math.NA) #Theoretical and Computational Physics
  8. An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks
    2025/01/20 by Luo, Jiaqi, Yang, Yahong, Yuan, Yuan +2 · 3 citations
    #FOS: Computer and information sciences #G.1.8 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Optimal Deep Neural Network Approximation for Korobov Functions with respect to Sobolev Norms
    2023/11/08 by Yang, Yahong, Lu, Yulong · 1 citation
    #41A25 #41A46 #65D07 #68Q25 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
  10. Stochastic Continuum Models for High--Entropy Alloys with Short-range Order
    2022/05/15 by Yahong Yang, Yang, Yahong, Luchan Zhang +3 · 1 citation
    Engineering · #Advanced Materials Characterization Techniques #FOS: Physical sciences #High Entropy Alloys Studies #High-Temperature Coating Behaviors #Materials Science (cond-mat.mtrl-sci)
  11. On pattern formation in the thermodynamically-consistent variational Gray-Scott model
    2024/09/07 by Hao, Wenrui, Liu, Chun, Wang, Yiwei +1 · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA)
  12. DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
    2024/10/06 by Yang, Yahong · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  13. Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks
    2023/09/26 by Yahong Yang, Qipin Chen, Yang, Yahong +3 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Model Reduction and Neural Networks #Neural Networks and Applications #Optimization and Control (math.OC)