| An unsupervised autoregressive model for speech representation learning YA Chung, WN Hsu, H Tang, J Glass arXiv preprint arXiv:1904.03240, 2019 | 222 | 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 | 190 | 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 | 147 | 2008 |
| Face hallucination via sparse coding J Yang, H Tang, Y Ma, T Huang 2008 15th IEEE international conference on image processing, 1264-1267, 2008 | 115 | 2008 |
| Emotion recognition from arbitrary view facial images W Zheng, H Tang, Z Lin, TS Huang European Conference on Computer Vision, 490-503, 2010 | 96 | 2010 |
| A spectral clustering approach to speaker diarization H Ning, M Liu, H Tang, TS Huang Ninth International Conference on Spoken Language Processing, 2006 | 94 | 2006 |
| 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 | 93 | 2011 |
| 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 | 91 | 2017 |
| 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 | 86 | 2009 |
| HMM-based acoustic event detection with AdaBoost feature selection X Zhou, X Zhuang, M Liu, H Tang, M Hasegawa-Johnson, T Huang Multimodal technologies for perception of humans, 345-353, 2007 | 85 | 2007 |
| 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 | 73 | 2018 |
| 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 | 64 | 2011 |
| 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 | 60 | 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 | 57 | 2011 |
| Voiceid loss: Speech enhancement for speaker verification S Shon, H Tang, J Glass arXiv preprint arXiv:1904.03601, 2019 | 54 | 2019 |
| 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 | 54 | 2017 |
| Emotion recognition from speech via boosted Gaussian mixture models H Tang, SM Chu, M Hasegawa-Johnson, TS Huang 2009 IEEE International Conference on Multimedia and Expo, 294-297, 2009 | 43 | 2009 |
| Vector-quantized autoregressive predictive coding YA Chung, H Tang, J Glass arXiv preprint arXiv:2005.08392, 2020 | 42 | 2020 |
| Humanoid audio–visual avatar with emotive text-to-speech synthesis H Tang, Y Fu, J Tu, M Hasegawa-Johnson, TS Huang IEEE Transactions on multimedia 10 (6), 969-981, 2008 | 41 | 2008 |
| A Deep Residual Network for Large-Scale Acoustic Scene Analysis. L Ford, H Tang, F Grondin, JR Glass INTERSPEECH, 2568-2572, 2019 | 39 | 2019 |
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
