2021
1.Li-Ming Zhao Xu Yan, Bao-Liang Lu, Plug-and-play Domain Adaptation for Cross-subject EEG-based Emotion Recognition, to appear in AAAI 2021
2.Rui Li, Le-Dian Liu, Bao-Liang Lu: Measuring Human Decision Confidence from EEG Signals in an Object Detection Task, to appear in IEEE NER 2021
3.Rui Li，Le-Dian Liu, Bao-Liang Lu: Discrimination of Decision Confidence Levels from EEG Signals，to appear in IEEE NER 2021
4.Zhi-Wei Zhao Wei Liu, Bao-Liang Lu, Multimodal Emotion Recognition Using a Modified Dense Co-Attention Symmetric Network, to appear in IEEE NER 2021
2020
1. Wei-Long Zheng, Kunpeng Gao, Gang Li, Wei Liu, Chao Liu, Jing-Quan Liu, Guoxing Wang, Bao-Liang Lu: Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment. IEEE Trans. Intell. Transp. Syst.?21(1): 170-184 (2020)
2.Yun Luo, Li-Zhen Zhu, Zi-Yu Wan, Bao-Liang Lu: Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models. Journal of Neural Engineering, vol. 17, no. 5, 056021 (2020)
3.Yingying Jiao, Yini Deng, Yun Luo, Bao-Liang Lu: Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks. Neurocomputing?408: 100-111 (2020)
4. Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su: Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. NeurIPS?2020
5. Wei Wu, Wei Sun, Jonathan Wu, Yimin Yang, Hui Zhang, Wei-long Zheng, Bao-Liang Lu. Multimodel vigilance estimation using deep learning. IEEE Transactions on Cybernetics，DOI：10.1109/TCYB.2020.3022647
6. Yu-Ting Lan, Wei Liu, Bao-Liang Lu, Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism. IJCNN, 2020
7. Wenrui Mu, Bao-Liang Lu, Examining Four Experimental Paradigms for EEG-Based Sleep Quality Evaluation with Domain Adaptation. EMBC 2020: 5913-5916
8. Shu Jiang, Hai Zhao, Zuchao Li, Bao-Liang Lu: Document-level Neural Machine Translation with Document Embeddings. CoRR?abs/2009.08775 (2020)
9. Dongrui Wu, Yifan Xu, Bao-Liang Lu: Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016. CoRR?abs/2004.06286 (2020)
10. Xun Wu, Wei-Long Zheng, Bao-Liang Lu: Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition. CoRR?abs/2004.01973 (2020)
11. Le-Yan Tao, Bao-Liang Lu: Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network. IJCNN?2020: 1-8
12. Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki: Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. ICASSP?2020: 946-950
13. Chen-Li Yao, Bao-Liang Lu: A Robust Approach to Estimating Vigilance from EEG with Neural Processes. BIBM?2020: 1202-1205
2019
1. Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu: Identifying Stable Patterns over Time for Emotion Recognition from EEG. IEEE Trans. Affective Computing, 10(3): 417-429 (2019)
2.Wei Wu, Wei Sun, Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu. Faster single model vigilance detection based on deep learning. IEEE Transactions on Cognitive and Developmental Systems, DOI： 10.1109/TCDS.2019.2963073 (2019)
3. Jia-Xin Ma, Hao Tang, Wei-Long Zheng, Bao-Liang Lu: Emotion Recognition using Multimodal Residual LSTM Network. ACM Multimedia?2019: 176-183
4. Tian-Hao Li, Wei Liu, Wei-Long Zheng, Bao-Liang Lu, Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time. IEEE NER 2019: 607-610
5. Li-Ming Zhao, Rui Li, Wei-Long Zheng, Bao-Liang Lu, Classification of Five Emotions from EEG and Eye Movement Signals: Complementary Representation Properties. IEEE NER 2019: 611-614
6. Xun Wu, Wei-Long Zheng, Bao-Liang Lu, Identifying Functional Brain Connectivity Patterns for EEG-Based Emotion Recognition. IEEE NER 2019: 235-238
7. Lu Gan, Wei Liu, Yun Luo, Xun Wu, Bao-Liang Lu, A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning. In: Gedeon T., Wong K., Lee M. (eds) Neural Information Processing. ICONIP 2019: 670-680
8. Yun Luo, Li-Zhen Zhu, Bao-Liang Lu, A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition. ISNN (1) 2019: 141-150
9. Bo-Qun Ma, He Li, Yun Luo, Bao-Liang Lu, Depersonalized Cross-Subject Vigilance Estimation with Adversarial Domain Generalization, Proc. IJCNN 2019, Budabest
10. Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu: Document-level Neural Machine Translation with Inter-Sentence Attention. CoRR?abs/1910.14528 (2019)
11. Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu: Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. CoRR?abs/1908.05349 (2019)
12. Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia: Judging Chemical Reaction Practicality From Positive Sample only Learning. CoRR?abs/1904.09824 (2019)
13. Bo-Qun Ma, He Li, Wei-Long Zheng, Bao-Liang Lu: Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization. ICONIP (1)?2019: 30-42
14. Lan-Qing Bao, Jie-Lin Qiu, Hao Tang, Wei-Long Zheng, Bao-Liang Lu: Investigating Sex Differences in Classification of Five Emotions from EEG and Eye Movement Signals. EMBC?2019: 6746-6749
15. Jiang-Jian Guo, Rong Zhou, Li-Ming Zhao, Bao-Liang Lu: Multimodal Emotion Recognition from Eye Image, Eye Movement and EEG Using Deep Neural Networks. EMBC?2019: 3071-3074
16. Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, Andrzej Cichocki: EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Trans. Cybern.?49(3): 1110-1122 (2019)
17. Huangfei Jiang, Xiya Guan, Wei-Ye Zhao, Li-Ming Zhao, Bao-Liang Lu: Generating Multimodal Features for Emotion Classification from Eye Movement Signals. Aust. J. Intell. Inf. Process. Syst.?15(3): 59-66 (2019)
2018
1.Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama, Eiichiro Sumita, Graph-based Bilingual Word Embedding for Statistical Machine Translation, ACM Transaciton on Asian and Low-Resource Language Information Processing, Vol.17(4), 2018 [pdf]
2. Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, Bao-Liang Lu: EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes. IEEE Trans. Cognitive and Developmental Systems 10(2): 408-419 (2018) [pdf]
3. Wei Wu, Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu. A Regression Method with Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Transactions on Cognitive and Developmental Systems, DOI: 10.1109/TCDS.2018.2889223
4. He Li, Wei-Long Zheng, Bao-Liang Lu, Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks, Proc. IEEE IJCNN2018 [pdf]
5. Jia-Jun Tong, Yun Luo, Bo-Qun Ma, Wei-Long Zheng, Bao-Liang Lu, Xiao-Qi Song, Shi-Wei Ma, Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario, Proc. IEEE IJCNN2018 [pdf]
6. Yun Luo, Bao-Liang Lu, EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN, Proc. IEEE EMBC2018 [pdf]
7. Jie-Lin Qiu, Wei Liu, Bao-Liang Lu: Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis. ICONIP (5) 2018: 221-231 [pdf]
8. Yun Luo, Si-Yang Zhang, Wei-Long Zheng, Bao-Liang Lu: WGAN Domain Adaptation for EEG-Based Emotion Recognition. ICONIP (5) 2018: 275-286 [pdf]
9. Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng, Bao-Liang Lu: Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. ICONIP (2) 2018: 330-340 [pdf]
10. He Li, Yi-Ming Jin, Wei-Long Zheng, Bao-Liang Lu: Cross-Subject Emotion Recognition Using Deep Adaptation Networks. ICONIP (5) 2018: 403-413 [pdf]
11. Yini Deng, Yingying Jiao, Bao-Liang Lu: Driver Sleepiness Detection Using LSTM Neural Network. ICONIP (4) 2018: 622-633 [pdf]
12. Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He: Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia 2018: 108-116
13. Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He: Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. CoRR abs/1808.02096 (2018) [pdf]
IEEE Transactions on Affective Computing指导委员会委员, IEEE Transactions on Cognitive and Developmental Systems 副主编，《模式识别与人工知能》编辑委员会委员，亚太神经网络学会理事，