| Flow adversarial networks: Flowrate prediction for gas–liquid multiphase flows across different domains D Hu, J Li, Y Liu, Y Li IEEE transactions on neural networks and learning systems 31 (2), 475-487, 2019 | 27 | 2019 |
| Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots D Hu, F Giorgio-Serchi, S Zhang, Y Yang Nature Machine Intelligence 5 (3), 261-272, 2023 | 24 | 2023 |
| Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network D Hu, K Lu, Y Yang 2019 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2019 | 24 | 2019 |
| Multiphase flowrate measurement with time series sensing data and sequential model H Wang, D Hu, M Zhang, Y Yang International Journal of Multiphase Flow 146, 103875, 2022 | 13 | 2022 |
| CNN-based volume flow rate prediction of oil–gas–water three-phase intermittent flow from multiple sensors J Li, D Hu, W Chen, Y Li, M Zhang, L Peng Sensors 21 (4), 1245, 2021 | 7 | 2021 |
| A digital twin of electrical tomography for quantitative multiphase flow imaging S Wang, D Hu, M Zhang, J Qiu Lin, W Chen, F Giorgio-Serchi, L Peng, ... Communications Engineering 1 (1), 41, 2022 | 5 | 2022 |
| Multiphase flowrate measurement with multimodal sensors and temporal convolutional network H Wang, D Hu, M Zhang, N Li, Y Yang IEEE Sensors Journal 23 (5), 4508-4517, 2022 | 4 | 2022 |
| Coupling field simulation of soft capacitive sensors towards soft robot perception D Hu, H Li, F Giorgio-Serchi, Y Yang IEEE Sensors Journal, 2023 | 2 | 2023 |
| Smart capacitive e-skin takes soft robots beyond proprioception D Hu, F Giorgio-Serchi, S Zhang, Y Yang | 1 | 2022 |
| Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning D Hu, Z Chen, P Baisamy, Z Liu, F Giorgio-Serchi, Y Yang arXiv preprint arXiv:2305.01545, 2023 | | 2023 |
Yunjie YangSenior Lecturer/Associate Professor, University of EdinburghVerified email at ed.ac.uk
