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 |