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Jiaoyang Huang

  1. Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
    2019/09/18 by Jiaoyang Huang, Horng‐Tzer Yau, Huang, Jiaoyang +1 · 9 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  2. Mesoscopic Perturbations of Large Random Matrices
    2014/12/13 by Jiaoyang Huang, Huang, Jiaoyang · 3 citations
    Mathematics · #Random Matrices and Applications #Advanced Combinatorial Mathematics #Advanced Algebra and Geometry
  3. Transition from Tracy-Widom to Gaussian fluctuations of extremal eigenvalues of sparse Erdős-Rényi graphs
    2017/12/11 by Jiaoyang Huang, Huang, Jiaoyang, Benjamin Landon +3 · 3 citations
    Mathematics · #05C50 #05C80 #15B52 #60B20 #FOS: Mathematics #Graph theory and applications #Probability (math.PR) #Random Matrices and Applications #Spectral Theory in Mathematical Physics
  4. Spectrum of Random d-regular Graphs Up to the Edge
    2021/02/01 by Jiaoyang Huang, Horng‐Tzer Yau, Huang, Jiaoyang +1 · 4 citations
    Mathematics · #Random Matrices and Applications #Graph theory and applications #Advanced Algebra and Geometry
  5. Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems
    2022/04/09 by Daniel Zhengyu Huang, Huang, Daniel Zhengyu, Jiaoyang Huang +4 · 4 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA)
  6. Dyson Brownian Motion for General β and Potential at the Edge
    2018/10/18 by Arka Adhikari, Jiaoyang Huang, Adhikari, Arka +1 · 3 citations
    Mathematics · #Random Matrices and Applications #Stochastic processes and statistical mechanics #Statistical Methods and Bayesian Inference
  7. Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
    2023/02/21 by Yifan Chen, Daniel Zhengyu Huang, Chen, Yifan +6 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Machine Learning and Data Classification #Numerical Analysis (math.NA)
  8. Strong Characterization for the Airy Line Ensemble
    2023/08/23 by Amol Aggarwal, Jiaoyang Huang, Aggarwal, Amol +1 · 4 citations
    Mathematics · #Stochastic processes and statistical mechanics #Mathematical Dynamics and Fractals #Geometry and complex manifolds
  9. Edge Universality of Sparse Random Matrices
    2022/06/14 by Jiaoyang Huang, Horng‐Tzer Yau, Huang, Jiaoyang +1 · 3 citations
    Mathematics · #Random Matrices and Applications #Spectral Theory in Mathematical Physics #Stochastic processes and statistical mechanics
  10. Sampling via Gradient Flows in the Space of Probability Measures
    2023/10/05 by Yifan Chen, Chen, Yifan, Daniel Zhengyu Huang +6 · 3 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistical Mechanics and Entropy
  11. Ramanujan Property and Edge Universality of Random Regular Graphs
    2024/12/28 by Jiaoyang Huang, Huang, Jiaoyang, Theo McKenzie +4 · 1 voice · 4 citations
    Mathematics · #Graph theory and applications #Limits and Structures in Graph Theory #Finite Group Theory Research
  12. Robustness Implies Generalization via Data-Dependent Generalization Bounds
    2022/06/27 by Kenji Kawaguchi, Kawaguchi, Kenji, Zhun Deng +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Probability (math.PR)
  13. Edge Universality of Random Regular Graphs of Growing Degrees
    2023/05/02 by Jiaoyang Huang, Huang, Jiaoyang, Horng‐Tzer Yau +1 · 2 citations
    Mathematics · #Graph theory and applications #Spectral Theory in Mathematical Physics #Limits and Structures in Graph Theory
  14. Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes
    2019/08/05 by Kenji Kawaguchi, Jiaoyang Huang, Kawaguchi, Kenji +1 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  15. Rigidity and Edge Universality of Discrete β-Ensembles
    2017/05/16 by Alice Guionnet, Guionnet, Alice, Jiaoyang Huang +1 · 1 citation
    Computer Science · Mathematics · #15B52 #82B44 #Bayesian Methods and Mixture Models #FOS: Mathematics #FOS: Physical sciences #Mathematical Physics (math-ph) #Probability (math.PR) #Random Matrices and Applications #Stochastic processes and statistical mechanics
  16. PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
    2022/11/26 by Han Gao, Xu Han, Gao, Han +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #FOS: Mathematics #Geometric Topology (math.GT) #Machine Learning (cs.LG)
  17. Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models
    2025/06/16 by Daniel Zhengyu Huang, Huang, Daniel Zhengyu, Jiaoyang Huang +3 · 4 citations
    Chemistry · Computer Science · Engineering · #Blind Source Separation Techniques #Classical Analysis and ODEs (math.CA) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Spectroscopy and Chemometric Analyses #Surface Roughness and Optical Measurements
  18. Local geometry of high-dimensional mixture models: Effective spectral theory and dynamical transitions
    2025/02/21 by Gérard Ben Arous, Reza Gheissari, Arous, Gerard Ben +5 · 2 citations
    Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Gaussian Processes and Bayesian Inference #Random Matrices and Applications
  19. Extremal eigenvectors of sparse random matrices
    2025/01/27 by Yukun He, He, Yukun, Jiaoyang Huang +3 · 2 citations
    Mathematics · #05C50 #05C80 #15B52 #60B20 #Advanced Algebra and Geometry #FOS: Mathematics #FOS: Physical sciences #Mathematical Physics (math-ph) #Probability (math.PR) #Random Matrices and Applications #advanced mathematical theories
  20. Fluctuations for non-Hermitian dynamics
    2024/09/04 by Paul Bourgade, Giorgio Cipolloni, Bourgade, Paul +3 · 1 citation
    Physics and Astronomy · Chemistry · #Quantum Mechanics and Non-Hermitian Physics #Quantum chaos and dynamical systems #Molecular spectroscopy and chirality
  21. Extremal Eigenvalues of Random Kernel Matrices with Polynomial Scaling
    2024/10/23 by David Kogan, Sagnik Nandy, Kogan, David +3 · 1 citation
    Mathematics · #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Morphological variations and asymmetry #Probability (math.PR) #Random Matrices and Applications #Statistics Theory (math.ST)
  22. Non-symmetric vector dyson equations
    2026/07/16 by Jiaoyang Huang, Zhonggen Su, Ruizhe Xu
    #math.CV #math-ph #math.FA #math.MP #math.PR #math.SP