| 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 | 149 | 2020 |
| Deep learning for depression recognition with audiovisual cues: A review L He, M Niu, P Tiwari, P Marttinen, R Su, J Jiang, C Guo, H Wang, S Ding, ... Information Fusion 80, 56-86, 2022 | 119 | 2022 |
| 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 | 69 | 2020 |
| Multimodal Spatiotemporal Representation for Automatic Depression Level Detection M Niu, J Tao, B Liu, J Huang, Z Lian IEEE Transactions on Affective Computing, 2020 | 67 | 2020 |
| Expression analysis based on face regions in real-world conditions Z Lian, Y Li, JH Tao, J Huang, MY Niu International Journal of Automation and Computing 17, 96-107, 2020 | 61 | 2020 |
| Parame: Regarding neural network parameters as relation embeddings for knowledge graph completion F Che, D Zhang, J Tao, M Niu, B Zhao Proceedings of the AAAI conference on artificial intelligence 34 (03), 2774-2781, 2020 | 56 | 2020 |
| Semi-supervised ladder networks for speech emotion recognition JH Tao, J Huang, Y Li, Z Lian, MY Niu International Journal of Automation and Computing 16, 437-448, 2019 | 43 | 2019 |
| Multimodal continuous emotion recognition with data augmentation using recurrent neural networks J Huang, Y Li, J Tao, Z Lian, M Niu, M Yang Proceedings of the 2018 on audio/visual emotion challenge and workshop, 57-64, 2018 | 43 | 2018 |
| Speech emotion recognition using semi-supervised learning with ladder networks J Huang, Y Li, J Tao, Z Lian, M Niu, J Yi 2018 First Asian conference on affective computing and intelligent …, 2018 | 36 | 2018 |
| Automatic depression level detection via lp-norm pooling M Niu, J Tao, B Liu, C Fan Proc. INTERSPEECH, Graz, Austria, 4559-4563, 2019 | 27 | 2019 |
| A Time-Frequency Channel Attention and Vectorization Network for Automatic Depression Level Prediction M Niu, B Liu, J Tao, Q Li Neurocomputing, 2021 | 20 | 2021 |
| Multi-Scale and Multi-Region Facial Discriminative Representation for Automatic Depression Level Prediction M Niu, B Liu, J Tao 2021 IEEE International Conference on Acoustics, Speech and Signal …, 2021 | 19 | 2021 |
| Automatic respiratory sound classification via multi-branch temporal convolutional network Z Zhao, Z Gong, M Niu, J Ma, H Wang, Z Zhang, Y Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 18 | 2022 |
| TDCA-Net: Time-Domain Channel Attention Network for Depression Detection C Cai, M Niu, B Liu, J Tao, X Liu Proc. Interspeech, 2021 | 15 | 2021 |
| Region based robust facial expression analysis Z Lian, Y Li, J Tao, J Huang, M Niu 2018 First Asian conference on affective computing and intelligent …, 2018 | 14 | 2018 |
| Efficient modeling of long temporal contexts for continuous emotion recognition J Huang, J Tao, B Liu, Z Lian, M Niu 2019 8th International Conference on Affective Computing and Intelligent …, 2019 | 12 | 2019 |
| Discriminative video representation with temporal order for micro-expression recognition M Niu, J Tao, Y Li, J Huang, Z Lian ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 12 | 2019 |
| MTDAN: A lightweight multi-scale temporal difference attention networks for automated video depression detection S Zhang, X Zhang, X Zhao, J Fang, M Niu, Z Zhao, J Yu, Q Tian IEEE Transactions on Affective Computing, 2023 | 11 | 2023 |
| Depressioner: Facial dynamic representation for automatic depression level prediction M Niu, L He, Y Li, B Liu Expert Systems with Applications 204, 117512, 2022 | 11 | 2022 |
| CSENET: Complex squeeze-and-excitation network for speech depression level prediction C Fan, Z Lv, S Pei, M Niu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 11 | 2022 |
