| Dilated recurrent neural networks S Chang, Y Zhang, W Han, M Yu, X Guo, W Tan, X Cui, M Witbrock, ... Advances in Neural Information Processing Systems, 77-87, 2017 | 114 | 2017 |
| Streaming recommender systems S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ... Proceedings of the 26th International Conference on World Wide Web, 381-389, 2017 | 100 | 2017 |
| Speech Enhancement Using Bayesian Wavenet. K Qian, Y Zhang, S Chang, X Yang, D Florêncio, M Hasegawa-Johnson Interspeech, 2013-2017, 2017 | 63 | 2017 |
| Fast generation for convolutional autoregressive models P Ramachandran, TL Paine, P Khorrami, M Babaeizadeh, S Chang, ... arXiv preprint arXiv:1704.06001, 2017 | 50 | 2017 |
| Autovc: Zero-shot voice style transfer with only autoencoder loss K Qian, Y Zhang, S Chang, X Yang, M Hasegawa-Johnson arXiv preprint arXiv:1905.05879, 2019 | 32 | 2019 |
| Positive-unlabeled learning in streaming networks S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ... Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 31 | 2016 |
| Fast wavenet generation algorithm TL Paine, P Khorrami, S Chang, Y Zhang, P Ramachandran, ... arXiv preprint arXiv:1611.09482, 2016 | 28 | 2016 |
| A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care D Morrow, M Hasegawa-Johnson, T Huang, W Schuh, RFL Azevedo, ... Journal of biomedical informatics 69, 63-74, 2017 | 19 | 2017 |
| Deep learning based speech beamforming K Qian, Y Zhang, S Chang, X Yang, D Florencio, M Hasegawa-Johnson 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 11 | 2018 |
| Geometry-aware traffic flow analysis by detection and tracking H Shi, Z Wang, X Wang, Y Zhang, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 9 | 2018 |
| Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis Z Ou, Y Zhang Artificial Intelligence and Statistics, 841-849, 2012 | 9 | 2012 |
| Improvement of probabilistic acoustic tube model for speech decomposition Y Zhang, Z Ou, M Hasegawa-Johnson 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 8 | 2014 |
| Rethinking cooperative rationalization: Introspective extraction and complement control M Yu, S Chang, Y Zhang, TS Jaakkola arXiv preprint arXiv:1910.13294, 2019 | 7 | 2019 |
| A game theoretic approach to class-wise selective rationalization S Chang, Y Zhang, M Yu, T Jaakkola Advances in Neural Information Processing Systems, 10055-10065, 2019 | 6 | 2019 |
| Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays. Y Zhang, D Florêncio, M Hasegawa-Johnson INTERSPEECH, 2675-2679, 2017 | 6 | 2017 |
| Unsupervised speech decomposition via triple information bottleneck K Qian, Y Zhang, S Chang, D Cox, M Hasegawa-Johnson arXiv preprint arXiv:2004.11284, 2020 | 4 | 2020 |
| Incorporating AM-FM effect in voiced speech for probabilistic acoustic tube model Y Zhang, Z Ou, M Hasegawa-Johnson 2015 IEEE Workshop on Applications of Signal Processing to Audio and …, 2015 | 3 | 2015 |
| Invariant rationalization S Chang, Y Zhang, M Yu, TS Jaakkola arXiv preprint arXiv:2003.09772, 2020 | 2 | 2020 |
| Analysis of prosody increment induced by pitch accents for automatic emphasis correction Y Zhang, G Mysore, F Berthouzoz, M Hasegawa-Johnson Proc. Speech Prosody, 79-83, 2016 | 2 | 2016 |
| Application of local binary patterns for SVM based stop consonant detection K Qian, Y Zhang, M Hasegawa-Johnson Proc. Speech Prosody, 1114-1118, 2016 | 2 | 2016 |
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
