| An unsupervised autoregressive model for speech representation learning YA Chung, WN Hsu, H Tang, J Glass arXiv preprint arXiv:1904.03240, 2019 | 454 | 2019 |
| 3D facial expression recognition based on automatically selected features H Tang, TS Huang 2008 IEEE computer society conference on computer vision and pattern …, 2008 | 205 | 2008 |
| 3D facial expression recognition based on properties of line segments connecting facial feature points H Tang, TS Huang 2008 8th IEEE International Conference on Automatic Face & Gesture …, 2008 | 153 | 2008 |
| Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition S Toshniwal, H Tang, L Lu, K Livescu arXiv preprint arXiv:1704.01631, 2017 | 130 | 2017 |
| A spectral clustering approach to speaker diarization. H Ning, M Liu, H Tang, TS Huang Interspeech, 2006 | 126 | 2006 |
| Vector-quantized autoregressive predictive coding YA Chung, H Tang, J Glass arXiv preprint arXiv:2005.08392, 2020 | 122 | 2020 |
| Face hallucination via sparse coding J Yang, H Tang, Y Ma, T Huang 2008 15th IEEE international conference on image processing, 1264-1267, 2008 | 119 | 2008 |
| Emotion recognition from arbitrary view facial images W Zheng, H Tang, Z Lin, TS Huang Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 108 | 2010 |
| Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model S Shon, H Tang, J Glass 2018 IEEE Spoken Language Technology Workshop (SLT), 1007-1013, 2018 | 101 | 2018 |
| Expression recognition from 3D dynamic faces using robust spatio-temporal shape features V Le, H Tang, TS Huang 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011 | 100 | 2011 |
| Voiceid loss: Speech enhancement for speaker verification S Shon, H Tang, J Glass arXiv preprint arXiv:1904.03601, 2019 | 97 | 2019 |
| A novel approach to expression recognition from non-frontal face images W Zheng, H Tang, Z Lin, TS Huang 2009 IEEE 12th international conference on computer vision, 1901-1908, 2009 | 97 | 2009 |
| HMM-based acoustic event detection with AdaBoost feature selection X Zhou, X Zhuang, M Liu, H Tang, M Hasegawa-Johnson, T Huang International Evaluation Workshop on Rich Transcription, 345-353, 2007 | 92 | 2007 |
| Detecting highlights in sports videos: Cricket as a test case H Tang, V Kwatra, ME Sargin, U Gargi 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 86 | 2011 |
| Biomimetics of [NiFe]-hydrogenase: nickel-or iron-centered proton reduction catalysis? H Tang, MB Hall Journal of the American Chemical Society 139 (49), 18065-18070, 2017 | 80 | 2017 |
| Non-frontal view facial expression recognition based on ergodic hidden markov model supervectors H Tang, M Hasegawa-Johnson, T Huang 2010 IEEE International Conference on Multimedia and Expo, 1202-1207, 2010 | 70 | 2010 |
| Partially Supervised Speaker Clustering H Tang, S Chu, M Hasegawa-Johnson, T Huang Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2011 | 68 | 2011 |
| A Deep Residual Network for Large-Scale Acoustic Scene Analysis. L Ford, H Tang, F Grondin, JR Glass InterSpeech, 2568-2572, 2019 | 57 | 2019 |
| Tuning reactivity of bioinspired [NiFe]-hydrogenase models by ligand design and modeling the CO inhibition process D Brazzolotto, L Wang, H Tang, M Gennari, N Queyriaux, C Philouze, ... ACS Catalysis 8 (11), 10658-10667, 2018 | 54 | 2018 |
| Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation T Kim, J Keane, W Wang, H Tang, J Riggle, G Shakhnarovich, D Brentari, ... Computer Speech & Language 46, 209-232, 2017 | 51 | 2017 |
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
