Exploring EEG features in cross-subject emotion recognition X Li, D Song, P Zhang, Y Zhang, Y Hou, B Hu Frontiers in neuroscience 12, 162, 2018 | 313 | 2018 |
Emotion recognition from multi-channel EEG data through convolutional recurrent neural network X Li, D Song, P Zhang, G Yu, Y Hou, B Hu 2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016 | 285 | 2016 |
EEG based emotion recognition: A tutorial and review X Li, Y Zhang, P Tiwari, D Song, B Hu, M Yang, Z Zhao, N Kumar, ... ACM Computing Surveys 55 (4), 1-57, 2022 | 136 | 2022 |
EEG based emotion identification using unsupervised deep feature learning X Li, P Zhang, D Song, G Yu, Y Hou, B Hu | 88 | 2015 |
A quantum-inspired multimodal sentiment analysis framework Y Zhang, D Song, P Zhang, P Wang, J Li, X Li, B Wang Theoretical Computer Science 752, 21-40, 2018 | 81 | 2018 |
Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis Y Zhang, P Tiwari, D Song, X Mao, P Wang, X Li, HM Pandey Neural Networks 133, 40-56, 2021 | 77 | 2021 |
A quantum-like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis Y Zhang, D Song, X Li, P Zhang, P Wang, L Rong, G Yu, B Wang Information Fusion 62, 14-31, 2020 | 77 | 2020 |
Latent factor decoding of multi-channel EEG for emotion recognition through autoencoder-like neural networks X Li, Z Zhao, D Song, Y Zhang, J Pan, L Wu, J Huo, C Niu, D Wang Frontiers in neuroscience 14, 87, 2020 | 64 | 2020 |
A quantum-inspired sentiment representation model for twitter sentiment analysis Y Zhang, D Song, P Zhang, X Li, P Wang Applied Intelligence 49, 3093-3108, 2019 | 59 | 2019 |
Unsupervised sentiment analysis of twitter posts using density matrix representation Y Zhang, D Song, X Li, P Zhang Advances in Information Retrieval: 40th European Conference on IR Research …, 2018 | 37 | 2018 |
Deep fusion of multi-channel neurophysiological signal for emotion recognition and monitoring X Li, D Song, P Zhang, Y Hou, B Hu International Journal of Data Mining and Bioinformatics 18 (1), 1-27, 2017 | 30 | 2017 |
ScenarioSA: A dyadic conversational database for interactive sentiment analysis Y Zhang, Z Zhao, P Wang, X Li, L Rong, D Song IEEE Access 8, 90652-90664, 2020 | 27 | 2020 |
Variational autoencoder based latent factor decoding of multichannel EEG for emotion recognition X Li, Z Zhao, D Song, Y Zhang, C Niu, J Zhang, J Huo, J Li 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 23 | 2019 |
Multi-task learning for jointly detecting depression and emotion Y Zhang, X Li, L Rong, P Tiwari 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 20 | 2021 |
Emotion recognition from multi-channel EEG data through a dual-pipeline graph attention network X Li, J Li, Y Zhang, P Tiwari 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 12 | 2021 |
Encoding physiological signals as images for affective state recognition using convolutional neural networks G Yu, X Li, D Song, X Zhao, P Zhang, Y Hou, B Hu 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 11 | 2016 |
Recognizing emotions based on multimodal neurophysiological signals X Li, P Zhang, D Song, Y Hou Advances in computational psychophysiology, 28-30, 2015 | 10 | 2015 |
MedSeq2Seq: A medical knowledge enriched sequence to sequence learning model for Covid-19 diagnosis Y Zhang, L Rong, X Li, P Tiwari, Q Zheng, H Liang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 6 | 2021 |
A Sensory-Data-Hosting Oriented Scheduling Strategy on Virtual Machine X Li, Y Jiang 2013 IEEE International Conference on Green Computing and Communications and …, 2013 | 4 | 2013 |
Does tang poetry affect human emotional state? A pilot study by EEG P Wang, Y Zhang, X Li, Y Hou, D Song 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 3 | 2017 |