Haoyu Fu
Haoyu Fu
Electrical and Computer Engineering, The Ohio State University
Verified email at - Homepage
Cited by
Cited by
Guaranteed recovery of one-hidden-layer neural networks via cross entropy
H Fu, Y Chi, Y Liang
IEEE transactions on signal processing 68, 3225-3235, 2020
Quantized spectral compressed sensing: Cramer–Rao bounds and recovery algorithms
H Fu, Y Chi
IEEE Transactions on Signal Processing 66 (12), 3268-3279, 2018
Subspace learning from bits
Y Chi, H Fu
IEEE Transactions on Signal Processing 65 (17), 4429-4442, 2017
Methods and systems for terahertz-based positioning
P Wang, H Fu, P Orlik, T Koike-Akino, R Ma, B Wang
US Patent 10,795,151, 2020
Terahertz imaging of binary reflectance with variational Bayesian inference
H Fu, P Wang, T Koike-Akino, PV Orlik, Y Chi
The 43rd IEEE ICASSP, 2018
Principal subspace estimation for low-rank toeplitz covariance matrices with binary sensing
H Fu, Y Chi
2016 50th Asilomar Conference on Signals, Systems and Computers, 1344-1348, 2016
Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks
H Fu, Y Chi, Y Liang
2019 IEEE International Symposium on Information Theory (ISIT), 1972-1976, 2019
Terahertz imaging of multi-level pseudo-random reflectance
H Fu, P Wang, T Koike-Akino, R Ma, B Wang, PV Orlik, W Tsujita, ...
2018 43rd International Conference on Infrared, Millimeter, and Terahertz …, 2018
Multi-layer Terahertz imaging of non-overlapping contents
P Wang, H Fu, T Koike-Akino, PV Orlik
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2018
Compressive spectrum estimation using quantized measurements
H Fu, Y Chi
2017 51st Asilomar Conference on Signals, Systems, and Computers, 686-690, 2017
See-through sensing for image reconstruction of structure of target object
P Wang, TK Akino, H Fu, P Orlik
US Patent 10,217,252, 2019
High-Dimensional Statistical Inference from Coarse and Nonlinear Data: Algorithms and Guarantees
H Fu
PQDT-Global, 2019
The system can't perform the operation now. Try again later.
Articles 1–12