| Dynamics of deep neural networks and neural tangent hierarchy J Huang, HT Yau International conference on machine learning, 4542-4551, 2020 | 158 | 2020 |
| Bulk universality of sparse random matrices J Huang, B Landon, HT Yau Journal of Mathematical Physics 56 (12), 2015 | 83 | 2015 |
| Local Kesten–McKay law for random regular graphs R Bauerschmidt, J Huang, HT Yau Communications in Mathematical Physics 369, 523-636, 2019 | 76* | 2019 |
| Effect of depth and width on local minima in deep learning K Kawaguchi, J Huang, LP Kaelbling Neural computation 31 (7), 1462-1498, 2019 | 69 | 2019 |
| Rigidity and a mesoscopic central limit theorem for Dyson Brownian motion for general and potentials J Huang, B Landon Probability Theory and Related Fields 175, 209-253, 2019 | 66* | 2019 |
| Bulk eigenvalue statistics for random regular graphs R Bauerschmidt, J Huang, A Knowles, HT Yau Annals of Probability 45 (6A), 3626-3663, 2017 | 63 | 2017 |
| Gradient descent finds global minima for generalizable deep neural networks of practical sizes K Kawaguchi, J Huang 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 62 | 2019 |
| Eigenvector statistics of sparse random matrices P Bourgade, J Huang, HT Yau Electronic Journal of Probability 22, 1-38, 2017 | 51 | 2017 |
| Transition from Tracy–Widom to Gaussian fluctuations of extremal eigenvalues of sparse Erdős–Rényi graphs J Huang, B Landon, HT Yau Annals of Probability 48 (2), 916-962, 2020 | 50 | 2020 |
| Dyson Brownian motion for general and potential at the edge A Adhikari, J Huang Probability Theory and Related Fields 178 (3), 893-950, 2020 | 45 | 2020 |
| Efficient derivative-free Bayesian inference for large-scale inverse problems DZ Huang, J Huang, S Reich, AM Stuart Inverse Problems 38 (12), 125006, 2022 | 38* | 2022 |
| Edge rigidity and universality of random regular graphs of intermediate degree R Bauerschmidt, J Huang, A Knowles, HT Yau Geometric and functional analysis 30 (3), 693-769, 2020 | 30 | 2020 |
| Spectral statistics of sparse Erdős–Rényi graph Laplacians J Huang, B Landon Annales de l’Institut Henri Poincaré 56 (1), 120-154, 2020 | 28* | 2020 |
| Rigidity and Edge Universality of Discrete β‐Ensembles A Guionnet, J Huang Communications on pure and applied mathematics 72 (9), 1875-1982, 2019 | 26 | 2019 |
| Invertibility of adjacency matrices for random d-regular graphs J Huang Duke Mathematical Journal 170 (18), 3977-4032, 2021 | 25 | 2021 |
| Spectrum of random d‐regular graphs up to the edge J Huang, HT Yau Communications on Pure and Applied Mathematics 77 (3), 1635-1723, 2024 | 23 | 2024 |
| Every local minimum value is the global minimum value of induced model in nonconvex machine learning K Kawaguchi, J Huang, LP Kaelbling Neural Computation 31 (12), 2293-2323, 2019 | 23 | 2019 |
| Laurent phenomenon sequences J Alman, C Cuenca, J Huang Journal of Algebraic Combinatorics 43, 589-633, 2016 | 23 | 2016 |
| How does information bottleneck help deep learning? K Kawaguchi, Z Deng, X Ji, J Huang International Conference on Machine Learning, 16049-16096, 2023 | 22 | 2023 |
| Large deviation principles via spherical integrals S Belinschi, A Guionnet, J Huang Probability and Mathematical Physics 3 (3), 543-625, 2022 | 22 | 2022 |
Horng-Tzer YauHarvard University在 g.harvard.edu 的电子邮件经过验证
