Houying Zhu
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An iterative learning algorithm for feedforward neural networks with random weights
F Cao, D Wang, H Zhu, Y Wang
Information Sciences 328, 546-557, 2016
A modified extreme learning machine with sigmoidal activation functions
ZX Chen, HY Zhu, YG Wang
Neural Computing and Applications 22 (3-4), 541-550, 2013
Discrepancy bounds for uniformly ergodic Markov chain quasi-Monte Carlo
J Dick, D Rudolf, H Zhu
The Annals of Applied Probability 26 (5), 3178-3205, 2016
Software reliability modeling with removed errors and compounded-decreased-rate
Y Yuan, H Zhu, B Liu, F Cao
Mathematical and Computer Modelling 55 (3-4), 697-709, 2012
Discrepancy bounds for deterministic acceptance-rejection samplers
H Zhu, J Dick
Electronic Journal of Statistics 8 (1), 678-707, 2014
A discrepancy bound for deterministic acceptance-rejection samplers beyond in dimension 1
H Zhu, J Dick
Statistics and Computing 27 (4), 901-911, 2017
Discrepancy estimates for acceptance-rejection samplers using stratified inputs
H Zhu, J Dick
Monte Carlo and Quasi-Monte Carlo Methods, 599-619, 2016
A weighted discrepancy bound of quasi-Monte Carlo importance sampling
J Dick, D Rudolf, H Zhu
Statistics & Probability Letters 149, 100-106, 2019
Analysis of Framelet Transforms on a Simplex
YG Wang, H Zhu
Contemporary Computational Mathematics-A Celebration of the 80th Birthday of …, 2018
Localized Tight Frames and Fast Framelet Transforms on the Simplex.
Y Wang, H Zhu
arXiv preprint arXiv:1701.01595, 2017
A modified software reliability modeling with compounded-decreased-rate
QR Zhang, HY Zhu, YB Yuan
2012 International Conference on Machine Learning and Cybernetics 4, 1523-1529, 2012
A novel software reliability model with the decrease-rate of removing errors
HY Zhu, YB Yuan, FL Cao, B Liu
2011 International Conference on Machine Learning and Cybernetics 3, 943-949, 2011
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