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
46 2016 A modified extreme learning machine with sigmoidal activation functions ZX Chen, HY Zhu, YG Wang
Neural Computing and Applications 22, 541-550, 2013
40 2013 Discrepancy bounds for uniformly ergodic Markov chain quasi-Monte Carlo J Dick, D Rudolf, H Zhu
16 2016 Discrepancy bounds for deterministic acceptance-rejection samplers H Zhu, J Dick
14 2014 Surface defect detection with modified real-time detector YOLOv3 Z Wang, H Zhu, X Jia, Y Bao, C Wang
Journal of Sensors 2022, 2022
11 2022 A weighted discrepancy bound of quasi-Monte Carlo importance sampling J Dick, D Rudolf, H Zhu
Statistics & Probability Letters 149, 100-106, 2019
8 2019 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
7 2012 Discrepancy estimates for acceptance-rejection samplers using stratified inputs H Zhu, J Dick
Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April …, 2016
5 2016 Analysis of framelet transforms on a simplex YG Wang, H Zhu
Contemporary Computational Mathematics-A Celebration of the 80th Birthday of …, 2018
3 2018 COMBSS: best subset selection via continuous optimization S Moka, B Liquet, H Zhu, S Muller
Statistics and Computing 34 (2), 75, 2024
2 2024 A discrepancy bound for deterministic acceptance-rejection samplers beyond in dimension 1 H Zhu, J Dick
Statistics and Computing 27, 901-911, 2017
2 2017 Adaptive importance sampling and quasi-Monte Carlo methods for 6G URLLC systems X Ke, H Zhu, K Yi, G He, G Yang, YG Wang
ICC 2023-IEEE International Conference on Communications, 5272-5278, 2023
1 2023 Localized Tight Frames and Fast Framelet Transforms on the Simplex. Y Wang, H Zhu
arXiv preprint arXiv:1701.01595, 2017
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
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
2011