| Emotionmeter: A multimodal framework for recognizing human emotions WL Zheng, W Liu, Y Lu, BL Lu, A Cichocki IEEE transactions on cybernetics 49 (3), 1110-1122, 2018 | 464 | 2018 |
| Emotion Recognition Using Multimodal Deep Learning W Liu, WL Zheng, BL Lu Neural Information Processing 9948, pp 521-529, 2016 | 210 | 2016 |
| Multimodal emotion recognition using deep neural networks H Tang, W Liu, WL Zheng, BL Lu International Conference on Neural Information Processing, 811-819, 2017 | 109 | 2017 |
| Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition W Liu, JL Qiu, WL Zheng, BL Lu IEEE Transactions on Cognitive and Developmental Systems, 2021 | 70 | 2021 |
| Multimodal Emotion Recognition Using Multimodal Deep Learning W Liu, WL Zheng, BL Lu https://arxiv.org/abs/1602.08225, 2016 | 70 | 2016 |
| Vigilance estimation using a wearable EOG device in real driving environment WL Zheng, K Gao, G Li, W Liu, C Liu, JQ Liu, G Wang, BL Lu IEEE transactions on intelligent transportation systems 21 (1), 170-184, 2019 | 66 | 2019 |
| Multimodal emotion recognition using deep canonical correlation analysis W Liu, JL Qiu, WL Zheng, BL Lu arXiv preprint arXiv:1908.05349, 2019 | 63 | 2019 |
| Multi-view emotion recognition using deep canonical correlation analysis JL Qiu, W Liu, BL Lu International Conference on Neural Information Processing, 221-231, 2018 | 41 | 2018 |
| Detecting driving fatigue with multimodal deep learning LH Du, W Liu, WL Zheng, BL Lu 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 74-77, 2017 | 41 | 2017 |
| Classification of five emotions from EEG and eye movement signals: Discrimination ability and stability over time TH Li, W Liu, WL Zheng, BL Lu 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 607-610, 2019 | 39 | 2019 |
| Continuous Vigilance Estimation Using LSTM Neural Networks N Zhang, WL Zheng, W Liu, BL Lu 23rd International Conference, ICONIP 2016 9948, pp 530-537, 2016 | 36 | 2016 |
| Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism YT Lan, W Liu, BL Lu 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 32 | 2020 |
| Investigating gender differences of brain areas in emotion recognition using LSTM neural network X Yan, WL Zheng, W Liu, BL Lu International Conference on Neural Information Processing, 820-829, 2017 | 7 | 2017 |
| Identifying similarities and differences in emotion recognition with EEG and eye movements among Chinese, German, and French people W Liu, WL Zheng, Z Li, SY Wu, L Gan, BL Lu Journal of Neural Engineering, 2022 | 6 | 2022 |
| A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning L Gan, W Liu, Y Luo, X Wu, BL Lu International Conference on Neural Information Processing, 670-680, 2019 | 6 | 2019 |
| Multimodal Emotion Recognition Using a Modified Dense Co-Attention Symmetric Network ZW Zhao, W Liu, BL Lu 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 73-76, 2021 | 5 | 2021 |
| Identifying gender differences in multimodal emotion recognition using bimodal deep autoencoder X Yan, WL Zheng, W Liu, BL Lu International Conference on Neural Information Processing, 533-542, 2017 | 4 | 2017 |
Bao-Liang Lu （吕宝粮）IEEE Fellow, Professor, Shanghai Jiao Tong UniversityПотвърден имейл адрес: sjtu.edu.cn
