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 | 22 | 2013 |

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 | 20 | 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 | 9 | 2012 |

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 | 8 | 2016 |

Discrepancy bounds for deterministic acceptance-rejection samplers H Zhu, J Dick Electronic Journal of Statistics 8 (1), 678-707, 2014 | 7 | 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 | 1 | 2017 |

Discrepancy estimates for acceptance-rejection samplers using stratified inputs H Zhu, J Dick Monte Carlo and Quasi-Monte Carlo Methods, 599-619, 2016 | 1 | 2016 |

A weighted discrepancy bound of quasi-Monte Carlo importance sampling J Dick, D Rudolf, H Zhu Statistics & Probability Letters 149, 100-106, 2019 | | 2019 |

Analysis of Framelet Transforms on a Simplex YG Wang, H Zhu Contemporary Computational Mathematics-A Celebration of the 80th Birthday of …, 2018 | | 2018 |

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 |