| Acoustic characteristics of the piriform fossa in models and humans J Dang, K Honda The Journal of the Acoustical Society of America 101 (1), 456-465, 1997 | 230 | 1997 |
| Morphological and acoustical analysis of the nasal and the paranasal cavities J Dang, K Honda, H Suzuki The Journal of the Acoustical Society of America 96 (4), 2088-2100, 1994 | 224 | 1994 |
| Spex+: A complete time domain speaker extraction network M Ge, C Xu, L Wang, ES Chng, J Dang, H Li arXiv preprint arXiv:2005.04686, 2020 | 214 | 2020 |
| Construction and control of a physiological articulatory model J Dang, K Honda The Journal of the Acoustical Society of America 115 (2), 853-870, 2004 | 213 | 2004 |
| An investigation of dependencies between frequency components and speaker characteristics for text-independent speaker identification X Lu, J Dang Speech communication 50 (4), 312-322, 2008 | 176 | 2008 |
| Multi-kernel SVM based depression recognition using social media data Z Peng, Q Hu, J Dang International Journal of Machine Learning and Cybernetics 10 (1), 43-57, 2019 | 164 | 2019 |
| Voice activity detection based on an unsupervised learning framework D Ying, Y Yan, J Dang, FK Soong IEEE Transactions on Audio, Speech, and Language Processing 19 (8), 2624-2633, 2011 | 159 | 2011 |
| Acoustic characteristics of the human paranasal sinuses derived from transmission characteristic measurement and morphological observation J Dang, K Honda The Journal of the Acoustical Society of America 100 (5), 3374-3383, 1996 | 106 | 1996 |
| Relation modeling with graph convolutional networks for facial action unit detection Z Liu, J Dong, C Zhang, L Wang, J Dang International Conference on Multimedia Modeling, 489-501, 2019 | 101 | 2019 |
| Speech emotion recognition using 3d convolutions and attention-based sliding recurrent networks with auditory front-ends Z Peng, X Li, Z Zhu, M Unoki, J Dang, M Akagi IEEE Access 8, 16560-16572, 2020 | 100 | 2020 |
| Estimation of vocal tract shapes from speech sounds with a physiological articulatory model J Dang, K Honda Journal of Phonetics 30 (3), 511-532, 2002 | 91 | 2002 |
| Leveraging positional-related local-global dependency for synthetic speech detection X Liu, M Liu, L Wang, KA Lee, H Zhang, J Dang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 83 | 2023 |
| Incorporating network structure with node contents for community detection on large networks using deep learning J Cao, D Jin, L Yang, J Dang Neurocomputing 297, 71-81, 2018 | 81 | 2018 |
| Speech emotion recognition with local-global aware deep representation learning J Liu, Z Liu, L Wang, L Guo, J Dang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 80 | 2020 |
| Emotion recognition using spatial-temporal EEG features through convolutional graph attention network Z Li, G Zhang, L Wang, J Wei, J Dang Journal of Neural Engineering 20 (1), 016046, 2023 | 76 | 2023 |
| Exploration of complementary features for speech emotion recognition based on kernel extreme learning machine L Guo, L Wang, J Dang, Z Liu, H Guan IEEE Access 7, 75798-75809, 2019 | 75 | 2019 |
| Constructing accurate and efficient deep spiking neural networks with double-threshold and augmented schemes Q Yu, C Ma, S Song, G Zhang, J Dang, KC Tan IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1714-1726, 2021 | 74 | 2021 |
| Multi-stage speaker extraction with utterance and frame-level reference signals M Ge, C Xu, L Wang, ES Chng, J Dang, H Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 72 | 2021 |
| A feature fusion method based on extreme learning machine for speech emotion recognition L Guo, L Wang, J Dang, L Zhang, H Guan 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 72 | 2018 |
| Fuzzy rough regression with application to wind speed prediction S An, H Shi, Q Hu, X Li, J Dang Information Sciences 282, 388-400, 2014 | 64 | 2014 |
Longbiao WangProfessor, Tianjin UniversityVerified email at tju.edu.cn
