| CTNet: Conversational transformer network for emotion recognition Z Lian, B Liu, J Tao IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 985-1000, 2021 | 238 | 2021 |
| Multimodal transformer fusion for continuous emotion recognition J Huang, J Tao, B Liu, Z Lian, M Niu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 183 | 2020 |
| Multimodal spatiotemporal representation for automatic depression level detection M Niu, J Tao, B Liu, J Huang, Z Lian IEEE transactions on affective computing 14 (1), 294-307, 2020 | 102 | 2020 |
| Gated recurrent fusion with joint training framework for robust end-to-end speech recognition C Fan, J Yi, J Tao, Z Tian, B Liu, Z Wen IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 198-209, 2020 | 93 | 2020 |
| Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis L Sun, Z Lian, B Liu, J Tao IEEE Transactions on Affective Computing 15 (1), 309-325, 2023 | 92 | 2023 |
| Multimodal cross-and self-attention network for speech emotion recognition L Sun, B Liu, J Tao, Z Lian ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 88 | 2021 |
| GCNet: Graph completion network for incomplete multimodal learning in conversation Z Lian, L Chen, L Sun, B Liu, J Tao IEEE Transactions on pattern analysis and machine intelligence 45 (7), 8419-8432, 2023 | 87 | 2023 |
| Multi-modal continuous dimensional emotion recognition using recurrent neural network and self-attention mechanism L Sun, Z Lian, J Tao, B Liu, M Niu Proceedings of the 1st International on Multimodal Sentiment Analysis in …, 2020 | 80 | 2020 |
| Smin: Semi-supervised multi-modal interaction network for conversational emotion recognition Z Lian, B Liu, J Tao IEEE Transactions on Affective Computing 14 (3), 2415-2429, 2022 | 70 | 2022 |
| Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning Z Lian, H Sun, L Sun, K Chen, M Xu, K Wang, K Xu, Y He, Y Li, J Zhao, ... Proceedings of the 31st ACM International Conference on Multimedia, 9610-9614, 2023 | 58 | 2023 |
| Hybrid network feature extraction for depression assessment from speech Z Zhao, Q Li, N Cummins, B Liu, H Wang, J Tao, B Schuller | 53 | 2020 |
| CTC regularized model adaptation for improving LSTM RNN based multi-accent mandarin speech recognition J Yi, Z Wen, J Tao, H Ni, B Liu Journal of Signal Processing Systems 90, 985-997, 2018 | 52 | 2018 |
| Mae-dfer: Efficient masked autoencoder for self-supervised dynamic facial expression recognition L Sun, Z Lian, B Liu, J Tao Proceedings of the 31st ACM International Conference on Multimedia, 6110-6121, 2023 | 44 | 2023 |
| Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition. Z Lian, J Tao, B Liu, J Huang, Z Yang, R Li INTERSPEECH, 394-398, 2020 | 43 | 2020 |
| End-to-end post-filter for speech separation with deep attention fusion features C Fan, J Tao, B Liu, J Yi, Z Wen, X Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1303-1314, 2020 | 42 | 2020 |
| A novel method of artificial bandwidth extension using deep architecture. B Liu, J Tao, Z Wen, Y Li, D Bukhari INTERSPEECH, 2598-2602, 2015 | 41 | 2015 |
| DECN: Dialogical emotion correction network for conversational emotion recognition Z Lian, B Liu, J Tao Neurocomputing 454, 483-495, 2021 | 40 | 2021 |
| Conversational emotion analysis via attention mechanisms Z Lian, J Tao, B Liu, J Huang arXiv preprint arXiv:1910.11263, 2019 | 35 | 2019 |
| Automatic depression level detection via lp-norm pooling M Niu, J Tao, B Liu, C Fan Proc. INTERSPEECH, Graz, Austria, 4559-4563, 2019 | 35 | 2019 |
| Multimodal Emotion Recognition and Sentiment Analysis via Attention Enhanced Recurrent Model L Sun, M Xu, Z Lian, B Liu, J Tao, M Wang, Y Cheng Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 15-20, 2021 | 34 | 2021 |
Jianhua TAOTsinghua UniversityBestätigte E-Mail-Adresse bei tsinghua.edu.cn
