| Accurate EEG-based emotion recognition on combined features using deep convolutional neural networks JX Chen, PW Zhang, ZJ Mao, YF Huang, DM Jiang, YN Zhang IEEE Access 7, 44317-44328, 2019 | 251 | 2019 |
| Hybrid deep neural network--hidden markov model (dnn-hmm) based speech emotion recognition L Li, Y Zhao, D Jiang, Y Zhang, F Wang, I Gonzalez, E Valentin, H Sahli 2013 Humaine association conference on affective computing and intelligent …, 2013 | 221 | 2013 |
| Multimodal affective dimension prediction using deep bidirectional long short-term memory recurrent neural networks L He, D Jiang, L Yang, E Pei, P Wu, H Sahli Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015 | 190 | 2015 |
| A hierarchical bidirectional GRU model with attention for EEG-based emotion classification JX Chen, DM Jiang, YN Zhang IEEE Access 7, 118530-118540, 2019 | 170 | 2019 |
| Multimodal measurement of depression using deep learning models L Yang, D Jiang, X Xia, E Pei, MC Oveneke, H Sahli Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, 53-59, 2017 | 165 | 2017 |
| Decision tree based depression classification from audio video and language information L Yang, D Jiang, L He, E Pei, MC Oveneke, H Sahli Proceedings of the 6th international workshop on audio/visual emotion …, 2016 | 154 | 2016 |
| Integrating deep and shallow models for multi-modal depression analysis—Hybrid architectures L Yang, D Jiang, H Sahli IEEE Transactions on Affective Computing 12 (1), 239-253, 2018 | 102 | 2018 |
| Hybrid depression classification and estimation from audio video and text information L Yang, H Sahli, X Xia, E Pei, MC Oveneke, D Jiang Proceedings of the 7th annual workshop on audio/visual emotion challenge, 45-51, 2017 | 93 | 2017 |
| Transformer Encoder with Multi-modal Multi-head Attention for Continuous Affect Recognition H Chen, D Jiang, H Sahli IEEE Transactions on Multimedia 23, 4171-4183, 2020 | 78 | 2020 |
| Automatic depression analysis using dynamic facial appearance descriptor and dirichlet process fisher encoding L He, D Jiang, H Sahli IEEE Transactions on Multimedia 21 (6), 1476-1486, 2018 | 78 | 2018 |
| Emotion recognition from spatiotemporal EEG representations with hybrid convolutional recurrent neural networks via wearable multi-channel headset J Chen, D Jiang, Y Zhang, P Zhang Computer Communications 154, 58-65, 2020 | 71 | 2020 |
| Objectifying facial expressivity assessment of Parkinson’s patients: preliminary study P Wu, I Gonzalez, G Patsis, D Jiang, H Sahli, E Kerckhofs, ... Computational and mathematical methods in medicine 2014, 2014 | 67 | 2014 |
| Exploiting structured sparsity for hyperspectral anomaly detection F Li, X Zhang, L Zhang, D Jiang, Y Zhang IEEE Transactions on Geoscience and Remote Sensing 56 (7), 4050-4064, 2018 | 59 | 2018 |
| Multimodal depression recognition with dynamic visual and audio cues L He, D Jiang, H Sahli 2015 International Conference on Affective Computing and Intelligent …, 2015 | 57 | 2015 |
| Mec 2017: Multimodal emotion recognition challenge Y Li, J Tao, B Schuller, S Shan, D Jiang, J Jia 2018 First Asian Conference on Affective Computing and Intelligent …, 2018 | 56 | 2018 |
| Audio visual emotion recognition based on triple-stream dynamic bayesian network models D Jiang, Y Cui, X Zhang, P Fan, I Ganzalez, H Sahli International Conference on Affective Computing and Intelligent Interaction …, 2011 | 50 | 2011 |
| MEC 2016: the multimodal emotion recognition challenge of CCPR 2016 Y Li, J Tao, B Schuller, S Shan, D Jiang, J Jia Chinese Conference on Pattern Recognition, 667-678, 2016 | 45 | 2016 |
| DCNN and DNN based multi-modal depression recognition L Yang, D Jiang, W Han, H Sahli 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 42 | 2017 |
| Efficient spatial temporal convolutional features for audiovisual continuous affect recognition H Chen, Y Deng, S Cheng, Y Wang, D Jiang, H Sahli Proceedings of the 9th International on Audio/Visual Emotion Challenge and …, 2019 | 40 | 2019 |
| Feature augmenting networks for improving depression severity estimation from speech signals L Yang, D Jiang, H Sahli IEEE Access 8, 24033-24045, 2020 | 39 | 2020 |
