| Generative adversarial networks for data augmentation in machine fault diagnosis S Shao, P Wang, R Yan Computers in Industry 106, 85-93, 2019 | 405 | 2019 |
| LSTM-based auto-encoder model for ECG arrhythmias classification B Hou, J Yang, P Wang, R Yan IEEE Transactions on Instrumentation and Measurement 69 (4), 1232-1240, 2019 | 232 | 2019 |
| ECG arrhythmias detection using auxiliary classifier generative adversarial network and residual network P Wang, B Hou, S Shao, R Yan Ieee Access 7, 100910-100922, 2019 | 64 | 2019 |
| Bearing degradation evaluation using improved cross recurrence quantification analysis and nonlinear auto-regressive neural network P Wang, H Wang, R Yan Ieee Access 7, 38937-38946, 2019 | 15 | 2019 |
| A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech P Wang, B BabaAli, H Van hamme Proceedings Interspeech 2021, 36 - 40, 2021 | 8 | 2021 |
| Benefits of pre-trained mono-and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech P Wang, H Van hamme EURASIP Journal on Audio, Speech, and Music Processing 2023 (1), 1-25, 2023 | 6 | 2023 |
| Gear damage severity evaluation based on cross recurrence quantification analysis P Wang, R Yan 2017 International Conference on Sensing, Diagnostics, Prognostics, and …, 2017 | 3 | 2017 |
| Bottleneck low-rank transformers for low-resource spoken language understanding P Wang, H Van hamme Proceedings Interspeech 2022, 1248-1252, 2022 | 2 | 2022 |
| Pre-training for low resource speech-to-intent applications P Wang, H Van hamme arXiv preprint arXiv:2103.16674, 2021 | 2 | 2021 |
| A light transformer for speech-to-intent applications P Wang, H Van hamme 2021 IEEE Spoken Language Technology Workshop (SLT), 997-1003, 2021 | 1 | 2021 |
Ruqiang Yan / 严如强UMass,UConn,SEU,CASE,XJTUVerified email at ieee.org
