| TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers K Mundnich, BM Booth, M l’Hommedieu, T Feng, B Girault, ... Nature Publishing Group - Scientific Data 7 (1), 354, 2020 | 85 | 2020 |
| FedMultimodal: A Benchmark for Multimodal Federated Learning T Feng, D Bose, T Zhang, R Hebbar, A Ramakrishna, R Gupta, M Zhang, ... KDD 2023, 2023 | 50* | 2023 |
| Increasing coordination and responsivity of emotion-related brain regions with a heart rate variability biofeedback randomized trial K Nashiro, J Min, HJ Yoo, C Cho, SL Bachman, S Dutt, JF Thayer, ... Cognitive, Affective, & Behavioral Neuroscience 23 (1), 66-83, 2023 | 47 | 2023 |
| A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data T Feng, BM Booth, B Baldwin-Rodríguez, F Osorno, S Narayanan Nature Publishing Group - Scientific reports 11 (1), 8693, 2021 | 47 | 2021 |
| Multimodal human and environmental sensing for longitudinal behavioral studies in naturalistic settings: Framework for sensor selection, deployment, and management BM Booth*, K Mundnich*, T Feng*, A Nadarajan, TH Falk, JL Villatte, ... Journal of medical Internet research 21 (8), e12832, 2019 | 44 | 2019 |
| TILES audio recorder: an unobtrusive wearable solution to track audio activity T Feng, A Nadarajan, C Vaz, B Booth, S Narayanan 2018 Mobisys - 4th Workshop on Wearable Systems and Applications, 33-38, 2018 | 41 | 2018 |
| FedAudio: A Federated Learning Benchmark for Audio Tasks T Zhang*, T Feng*, S Alam, S Lee, M Zhang, SS Narayanan, S Avestimehr, ... ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 37 | 2023 |
| A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness T Feng, R Hebbar, N Mehlman, X Shi, A Kommineni, S Narayanan APSIPA Transactions on Signal and Information Processing: 10.1561/116 …, 2023 | 35 | 2023 |
| User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning T Feng, R Peri, S Narayanan Interspeech 2022, 2022 | 35 | 2022 |
| PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches for Speech Emotion Recognition using Pre-trained Speech Models T Feng, S Narayanan 2023 11th International Conference on Affective Computing and Intelligent …, 2023 | 32 | 2023 |
| FedMultimodal: A Benchmark For Multimodal Federated Learning T Feng, D Bose, T Zhang, R Hebbar, A Ramakrishna, R Gupta, M Zhang, ... 2023 KDD, 2023 | 32 | 2023 |
| Attribute inference attack of speech emotion recognition in federated learning settings T Feng, H Hashemi, R Hebbar, M Annavaram, SS Narayanan arXiv preprint arXiv:2112.13416, 2021 | 31 | 2021 |
| Imputing missing data in large-scale multivariate biomedical wearable recordings using bidirectional recurrent neural networks with temporal activation regularization T Feng, S Narayanan 2019 EMBC - 41st Annual International Conference of the IEEE Engineering in …, 2019 | 30 | 2019 |
| Enhancing privacy through domain adaptive noise injection for speech emotion recognition T Feng, H Hashemi, M Annavaram, SS Narayanan ICASSP 2022-2022 IEEE international conference on acoustics, speech and …, 2022 | 24 | 2022 |
| GPT-FL: Generative Pre-trained Model-Assisted Federated Learning T Zhang*, T Feng*, S Alam, M Zhang, SS Narayanan, S Avestimehr, ... arXiv preprint arXiv:2306.02210, 2023 | 23 | 2023 |
| Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling T Feng, S Narayanan Interspeech 2022, 5050--5054, 2022 | 21 | 2022 |
| Effects of a randomised trial of 5-week heart rate variability biofeedback intervention on cognitive function: possible benefits for inhibitory control K Nashiro, HJ Yoo, C Cho, J Min, T Feng, P Nasseri, SL Bachman, ... Applied psychophysiology and biofeedback 48 (1), 35-48, 2023 | 20 | 2023 |
| Foundation Model Assisted Automatic Speech Emotion Recognition: Transcribing, Annotating, and Augmenting T Feng, S Narayanan 2024 ICASSP IEEE International Conference on Acoustics, Speech and Signal …, 2024 | 18 | 2024 |
| Discovering optimal variable-length time series motifs in large-scale wearable recordings of human bio-behavioral signals T Feng, SS Narayanan (Best Paper Award Shortlist) ICASSP 2019-2019 IEEE International Conference …, 2019 | 14 | 2019 |
| TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit JC Yau, B Girault, T Feng, K Mundnich, A Nadarajan, BM Booth, E Ferrara, ... Nature Publishing Group - Scientific Data 9 (1), 536, 2022 | 13 | 2022 |
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern Californiaبريد إلكتروني تم التحقق منه على sipi.usc.edu