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Hong Hu
Hong Hu
Statistics and Data Science, Wharton School, University of Pennsylvania
Verified email at wharton.upenn.edu
Title
Cited by
Cited by
Year
Universality laws for high-dimensional learning with random features
H Hu, YM Lu
IEEE Transactions on Information Theory 69 (3), 1932-1964, 2022
1712022
Precise learning curves and higher-order scalings for dot-product kernel regression
L Xiao, H Hu, T Misiakiewicz, Y Lu, J Pennington
Advances in Neural Information Processing Systems 35, 4558-4570, 2022
512022
Asymptotics and optimal designs of SLOPE for sparse linear regression
H Hu, YM Lu
2019 IEEE International Symposium on Information Theory (ISIT), 375-379, 2019
312019
Sharp asymptotics of kernel ridge regression beyond the linear regime
H Hu, YM Lu
arXiv preprint arXiv:2205.06798, 2022
292022
A solvable high-dimensional model of GAN
C Wang, H Hu, Y Lu
Advances in Neural Information Processing Systems 32, 2019
182019
Asymptotics of random feature regression beyond the linear scaling regime
H Hu, YM Lu, T Misiakiewicz
arXiv preprint arXiv:2403.08160, 2024
122024
Homophily modulates double descent generalization in graph convolution networks
C Shi, L Pan, H Hu, I Dokmanić
Proceedings of the National Academy of Sciences 121 (8), e2309504121, 2024
10*2024
An area state-aided indoor localization algorithm and its implementation
K Zhang, H Hu, W Dai, Y Shen, MZ Win
2015 IEEE International Conference on Communication Workshop (ICCW), 736-741, 2015
10*2015
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression
L Xiao, H Hu, T Misiakiewicz, YM Lu, J Pennington
Journal of Statistical Mechanics: Theory and Experiment 2023 (11), 114005, 2023
72023
SLOPE for sparse linear regression: asymptotics and optimal regularization
H Hu, YM Lu
IEEE Transactions on Information Theory 68 (11), 7627-7664, 2022
52022
The limiting poisson law of massive MIMO detection with box relaxation
H Hu, YM Lu
IEEE Journal on Selected Areas in Information Theory 1 (3), 695-704, 2020
22020
Regularized Regression in High Dimensions: Asymptotics, Optimality and Universality
H Hu
Harvard University, 2021
12021
Online Power Iteration For Subspace Estimation Under Incomplete Observations: Limiting Dynamics And Phase Transitions
H Hu, YM Lu
2018 IEEE Statistical Signal Processing Workshop (SSP), 851-855, 2018
2018
Resource Allocation for Mobile Sensing in Wireless Networks
H Hu, Y Shen
2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016
2016
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Articles 1–14