| Machine learning techniques with probability vector for cooperative spectrum sensing in cognitive radio networks Y Lu, P Zhu, D Wang, M Fattouche 2016 IEEE wireless communications and networking conference, 1-6, 2016 | 100 | 2016 |
| Training keyword spotting models on non-iid data with federated learning A Hard, K Partridge, C Nguyen, N Subrahmanya, A Shah, P Zhu, ... INTERSPEECH 2020, 2020 | 52 | 2020 |
| Noisy student-teacher training for robust keyword spotting HJ Park, P Zhu, IL Moreno, N Subrahmanya INTERSPEECH 2021, 2021 | 14 | 2021 |
| Simplified characterization of building thermal response rates Z Dong, P Zhu, M Bobker, M Ascazubi Energy Procedia 78, 788-793, 2015 | 8 | 2015 |
| Locale Encoding for Scalable Multilingual Keyword Spotting Models P Zhu, HJ Park, A Park, AS Scarpati, IL Moreno ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Personalizing Keyword Spotting with Speaker Information B Labrador, P Zhu, G Zhao, AS Scarpati, Q Wang, A Lozano-Diez, A Park, ... arXiv preprint arXiv:2311.03419, 2023 | | 2023 |
| Noisy student teacher training for robust keyword spotting HJ Park, P Zhu, IL Moreno, N Subrahmanya US Patent App. 17/190,779, 2022 | | 2022 |
| Dynamic spectrum access: A Markovian approach to predict profits of primary user P Zhu, H Wang, X Wang, S Chakravarty, D Wang 2014 12th International Conference on Signal Processing (ICSP), 1743-1748, 2014 | | 2014 |
| A Markovian approach to design criterion of cooperation in Cognitive Radio network P Zhu, C Dong, R Hu, J Chen, S Chakravarty, D Wang Proceedings of 2014 IEEE International Conference on Service Operations and …, 2014 | | 2014 |
