| Bayesnas: A bayesian approach for neural architecture search H Zhou, M Yang, J Wang, W Pan International conference on machine learning, 7603-7613, 2019 | 217 | 2019 |
| PCA and PLS monitoring approaches for fault detection of wastewater treatment process A Chen, H Zhou, Y An, W Sun 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE …, 2016 | 29 | 2016 |
| Sparse Bayesian deep learning for dynamic system identification H Zhou, C Ibrahim, WX Zheng, W Pan Automatica 144, 110489, 2022 | 25 | 2022 |
| Identify dominant dimensions of 3D hand shapes using statistical shape model and deep neural network Y Yang, H Zhou, Y Song, P Vink Applied Ergonomics 96, 103462, 2021 | 18 | 2021 |
| Support Vector Machine-recursive feature elimination for the diagnosis of Parkinson disease based on speech analysis H Ma, T Tan, H Zhou, T Gao 2016 Seventh International Conference on Intelligent Control and Information …, 2016 | 13 | 2016 |
| A sparse bayesian deep learning approach for identification of cascaded tanks benchmark H Zhou, C Ibrahim, W Pan arXiv preprint arXiv:1911.06847, 2019 | 7 | 2019 |
| Fault detection and process monitoring of industrial process based on spherical kernel T-PLS Z Ren, J Hou, H Zhou IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | 6 | 2016 |
| Modulation of transcription burst amplitude underpins dosage compensation in the Drosophila embryo L Forbes Beadle, H Zhou, M Rattray, HL Ashe Cell Reports, 2023.02. 03.526973, 2023 | 5* | 2023 |
| Multivariate statistic methods for predicting electricity consumption of Beijing H Yang, L Liu, H Zhou, T Gao IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | 5 | 2016 |
| Bayesian learning to discover mathematical operations in governing equations of dynamic systems H Zhou, W Pan arXiv preprint arXiv:2206.00669, 2022 | 4 | 2022 |
| Deep Learning-Based Design Model for Suction Caissons on Clay X Yin, H Wang, F Pisanò, K Gavin, A Askarinejad, H Zhou Ocean Engineering 286 (Part 1, 15 October 2023), 2023 | 3 | 2023 |
| A using of just-in-time learning based data driven method in continuous stirred tank heater J Zheng, H Wang, H Zhou, T Gao 2016 Seventh International Conference on Intelligent Control and Information …, 2016 | 2 | 2016 |
| Sparse Deep Learning for Cell Type Classification in Breast Cancer Using Multiplex Imaging H Liu, Y Zhou, A Gilmore, H Zhou International Conference on Artificial Intelligence in Healthcare (https …, 2024 | | 2024 |
| RobotSDF: Implicit Morphology Modeling for the Robotic Arm Y Yang, J Liu, H Zhou, AR Kwabena, Y Zhong, Y Xie Sensors 24 (16), 5248, 2024 | | 2024 |
| Application of the neural network model in predicting the three dimensional response of suction caissons on clay AAHZ Xilin Yin, Huan Wang, Federico Pisanò, Ken Gavin Offshore Site Investigation Geotechnics 9th International Conference …, 2023 | | 2023 |
| Interpreting interface shear strength parameters for pipe-soil interaction analysis using Bayesian inference R Das, ZJ Westgate Offshore Site Investigation Geotechnics 9th International Conference …, 2023 | | 2023 |
| Bayesian deep learning for system identification H Zhou | | 2022 |
| A KPI prediction approach with JITL for vehicular Cyber Physical System H Zhou, H Ju, T Tan, T Gao 2016 Seventh International Conference on Intelligent Control and Information …, 2016 | | 2016 |
| Key data set selection algorithm based on PLS regression in industrial process M Yang, X Yang, C Yang, H Zhou IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | | 2016 |
| A data-driven KPI prediction method for vehicular cyber physical system H Zhou, A Chen, C Yang, J Yin, H Yu 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 72-77, 2016 | | 2016 |
Wei PanAssociate Professor, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
