Jiaoyang Huang

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	Tutte	Dal 2020
Citazioni	1515	1311
Indice H	22	21
i10-index	34	33

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Horng-Tzer YauHarvard UniversityEmail verificata su g.harvard.edu
Kenji KawaguchiPresidential Young Professor, National University of SingaporeEmail verificata su nus.edu.sg
Daniel Zhengyu Huang (黄政宇)Peking University / Caltech / StanfordEmail verificata su bicmr.pku.edu.cn
Alice GuionnetUniversité de Lyon, ENSLEmail verificata su ens-lyon.fr
Zhun DengAssistant Professor, CS@UNC Chapel HillEmail verificata su unc.edu
Andrew M StuartComputing + Mathematical Sciences, CaltechEmail verificata su caltech.edu
Sebastian ReichUniversity of PotsdamEmail verificata su uni-potsdam.de
Leslie KaelblingEmail verificata su csail.mit.edu
Yifan ChenCourant Institute, NYUEmail verificata su nyu.edu
Antti KnowlesUniversity of GenevaEmail verificata su unige.ch
Gerard BEN AROUSProfessor of Mathematics, NYU Shanghai and Courant Institute of Mathematical Sciences, New YorkEmail verificata su nyu.edu
Mica Xu JiResearch fellowEmail verificata su westminster.ac.uk
Arka AdhikariNSF Postdoctoral Fellow, Dept. of Mathematics, Stanford UniversityEmail verificata su stanford.edu
Qing YangUniversity of Science and Technology of ChinaEmail verificata su ustc.edu.cn
Kyle LuhUniversity of Colorado BoulderEmail verificata su colorado.edu
Josh AlmanColumbia UniversityEmail verificata su mit.edu
Cesar CuencaAssistant Professor at The Ohio State UniversityEmail verificata su osu.edu
Aukosh JagannathUniversity of WaterlooEmail verificata su uwaterloo.ca
Reza GheissariNorthwestern UniversityEmail verificata su northwestern.edu
Lingfu ZhangCaltech, Assistant Professor, PMAEmail verificata su caltech.edu

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Jiaoyang Huang

University of Pennsylvania

Email verificata su wharton.upenn.edu - Home page

Probability theory statistical learning and mathematical physics.


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Dynamics of deep neural networks and neural tangent hierarchy J Huang, HT Yau International conference on machine learning, 4542-4551, 2020	176	2020
Bulk universality of sparse random matrices J Huang, B Landon, HT Yau Journal of Mathematical Physics 56 (12), 2015	90	2015
Local Kesten–McKay law for random regular graphs R Bauerschmidt, J Huang, HT Yau Communications in Mathematical Physics 369, 523-636, 2019	84*	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	75*	2019
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	73	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	73	2019
Bulk eigenvalue statistics for random regular graphs R Bauerschmidt, J Huang, A Knowles, HT Yau Annals of Probability 45 (6A), 3626-3663, 2017	68	2017
How does information bottleneck help deep learning? K Kawaguchi, Z Deng, X Ji, J Huang International Conference on Machine Learning, 16049-16096, 2023	61	2023
Eigenvector statistics of sparse random matrices P Bourgade, J Huang, HT Yau Electronic Journal of Probability 22, 1-38, 2017	56	2017
Dyson Brownian motion for general and potential at the edge A Adhikari, J Huang Probability Theory and Related Fields 178 (3), 893-950, 2020	55	2020
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	54	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	50*	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	36	2020
Rigidity and Edge Universality of Discrete β‐Ensembles A Guionnet, J Huang Communications on pure and applied mathematics 72 (9), 1875-1982, 2019	34	2019
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	29	2024
Power iteration for tensor PCA J Huang, DZ Huang, Q Yang, G Cheng Journal of Machine Learning Research 23 (128), 1-47, 2022	29	2022
Spectral statistics of sparse Erdős–Rényi graph Laplacians J Huang, B Landon Annales de l’Institut Henri Poincaré 56 (1), 120-154, 2020	29*	2020
Invertibility of adjacency matrices for random d-regular graphs J Huang Duke Mathematical Journal 170 (18), 3977-4032, 2021	28	2021
Robustness implies generalization via data-dependent generalization bounds K Kawaguchi, Z Deng, K Luh, J Huang International conference on machine learning, 10866-10894, 2022	26	2022
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	26	2019

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