| Machine learning on FPGAs to face the IoT revolution X Zhang, A Ramachandran, C Zhuge, D He, W Zuo, Z Cheng, K Rupnow, ... 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 894-901, 2017 | 55 | 2017 |
| Wav2vec-c: A self-supervised model for speech representation learning S Sadhu, D He, CW Huang, SH Mallidi, M Wu, A Rastrow, A Stolcke, ... arXiv preprint arXiv:2103.08393, 2021 | 13 | 2021 |
| Acoustic landmarks contain more information about the phone string than other frames for automatic speech recognition with deep neural network acoustic model D He, BP Lim, X Yang, M Hasegawa-Johnson, D Chen The Journal of the Acoustical Society of America 143 (6), 3207-3219, 2018 | 11 | 2018 |
| Poisoning attack on load forecasting Y Liang, D He, D Chen 2019 IEEE innovative smart grid technologies-Asia (ISGT Asia), 1230-1235, 2019 | 9 | 2019 |
| Improved ASR for under-resourced languages through multi-task learning with acoustic landmarks D He, BP Lim, X Yang, M Hasegawa-Johnson, D Chen arXiv preprint arXiv:1805.05574, 2018 | 7 | 2018 |
| When CTC training meets acoustic landmarks D He, X Yang, BP Lim, Y Liang, M Hasegawa-Johnson, D Chen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 6 | 2019 |
| Optimal blocking device placement for geomagnetic disturbance mitigation Y Liang, D He, H Zhu, D Chen IEEE Transactions on Power Delivery 34 (6), 2219-2231, 2019 | 5 | 2019 |
| Selecting frames for automatic speech recognition based on acoustic landmarks D He, BPP Lim, X Yang, M Hasegawa-Johnson, D Chen The Journal of the Acoustical Society of America 141 (5), 3468-3468, 2017 | 4 | 2017 |
| Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED. D He, Z Cheng, M Hasegawa-Johnson, D Chen INTERSPEECH, 1914-1918, 2017 | 2 | 2017 |
| VADOI: Voice-Activity-Detection Overlapping Inference for End-To-End Long-Form Speech Recognition J Wang, X Tong, J Guo, D He, R Maas ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| The benefits of acoustic perceptual information for speech processing systems D He University of Illinois at Urbana-Champaign, 2019 | | 2019 |
| Augmenting Input Method Language Model with user Location Type Information D He arXiv preprint arXiv:1809.08349, 2018 | | 2018 |
| Accelerating lattice scoring of automatic speech recognition through acoustic pre-pruning on GPU D He | | 2015 |
Deming ChenAbel Bliss Professor. University of Illinois at Urbana-ChampaignVerified email at illinois.edu
