| Revealing and Protecting Labels in Distributed Training T Dang, O Thakkar, S Ramaswamy, R Mathews, P Chin, F Beaufays Neural Information Processing Systems, 2021 | 29 | 2021 |
| Training robust zero-shot voice conversion models with self-supervised features T Dang, D Tran, P Chin, K Koishida ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| End-to-end speech-to-dialog-act recognition VT Dang, T Zhao, S Ueno, H Inaguma, T Kawahara INTERSPEECH, 3910--3914, 2020 | 9 | 2020 |
| A method to reveal speaker identity in distributed asr training, and how to counter it T Dang, O Thakkar, S Ramaswamy, R Mathews, P Chin, F Beaufays ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| A study on self-supervised object detection pretraining T Dang, S Kornblith, HT Nguyen, P Chin, M Khademi European Conference on Computer Vision, 86-99, 2022 | 3 | 2022 |
| What is learned in knowledge graph embeddings? MR Douglas, M Simkin, O Ben-Eliezer, T Wu, P Chin, TV Dang, A Wood Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022 | 2 | 2022 |
| Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation Y Bai, T Dang, D Tran, K Koishida, S Sojoudi arXiv preprint arXiv:2309.10740, 2023 | 1 | 2023 |
| uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures A Tabassum, D Tran, T Dang, I Lourentzou, K Koishida ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Ascertaining and/or mitigating extent of effective reconstruction, of predictions, from model updates transmitted in federated learning OD Thakkar, T Dang, SI Ramaswamy, R Mathews, F Beaufays US Patent App. 17/535,405, 2022 | | 2022 |
| A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks C Pham, T Dang, P Chin arXiv preprint arXiv:2209.14264, 2022 | | 2022 |
