| Bayesnas: A bayesian approach for neural architecture search H Zhou, M Yang, J Wang, W Pan International conference on machine learning, 7603-7613, 2019 | 227 | 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 | 31 | 2016 |
| Sparse Bayesian deep learning for dynamic system identification H Zhou, C Ibrahim, WX Zheng, W Pan Automatica 144, 110489, 2022 | 27 | 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 | 19 | 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 |
| 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 | 9* | 2023 |
| 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 |
| 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 | 6 | 2023 |
| 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 |
| 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 |
| Physics-Informed Neural Network for system identification of rotors X Liu, W Cheng, J Xing, X Chen, Z Zhao, R Zhang, Q Huang, J Lu, H Zhou, ... IFAC-PapersOnLine 58 (15), 307-312, 2024 | 2 | 2024 |
| 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 |
| Elf autoencoder for unsupervised exploration of flat-band materials using electronic band structure fingerprints HK Pentz, T Warford, I Timokhin, H Zhou, Q Yang, A Bhattacharya, ... Communications Physics 8 (1), 25, 2025 | | 2025 |
| Hierarchical Physics-Informed Neural Network for Rotor System Health Assessment X Liu, W Cheng, J Xing, X Chen, Z Zhao, L Gao, R Zhang, Q Huang, ... IEEE Transactions on Automation Science and Engineering, 2025 | | 2025 |
| 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 |
| Elf autoencoder: unsupervised exploration of flat-band materials using electronic band structure fingerprints H Kelbrick Pentz, T Warford, I Timokhin, Q Yang, A Bhattacharya, ... arXiv e-prints, arXiv: 2406.11967, 2024 | | 2024 |
| Application of the neural network model in predicting the threedimensional response of suction caissons on clay X Yin, H Wang, F Pisano, K Gavin, A Askarinejad, H Zhou | | 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 |
Wei PanAssociate Professor, University of ManchesterAdresse e-mail validée de manchester.ac.uk
