Education Background

• Sept. 2012 - Sept. 2018
• PhD. student in Computer Science, Department of Computer Science and Engineering, Shanghai Jiao Tong University.
• June. 2016 - Sept. 2016
• Visiting student in The Cichocki Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Japan.
• Sept. 2014 - March. 2015
• Visiting student in Intelligent Systems Group, Department of Computer Science and Artificial Intelligence, University of the Basque Country, Spain.
• July 6 - July 24. 2013
• Visiting student in Computational & Cognitive Neuroscience Summer School, Cold Spring Harbor, Beijing, China.
• Sept. 2008 - June. 2012
• Undergraduate student in Information Engineering (Talented Student Program), School of Electronic and Information Engineering, South China University of Technology.

  Publications

Paper (My Google Scholar Profile)

2019

• 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 Transactions on Intelligent Transportation Systems, 2019. [pdf]
• Xun Wu, Wei-Long Zheng, Bao-Liang Lu, Identifying Functional Brain Connectivity Patterns for EEG-Based Emotion Recognition. To apprear in the 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019.
• LiMing Zhao, Rui Li, Wei-Long Zheng, Bao-Liang Lu, Classification of Five Emotions from EEG and Eye Movement Signals: Complementary Representation Properties. To apprear in the 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019.
• 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. To appear in the 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019.

2018

• Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, and Andrzej Cichocki, EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Transactions on Cybernetics, 2018. [pdf]
• Wei Wu, QM Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu, IEEE Transactions on Cognitive and Developmental Systems, 2018. [pdf]
• Yun Luo, Si-Yang Zhang, Wei-Long Zheng, Bao-Liang Lu. WGAN Domain Adaptation for EEG-Based Emotion Recognition. in Proc. of the International Conference on Neural Information Processing (ICONIP2018), 2018: 275-286. [pdf]
• He Li, Yi-Ming Jin, Wei-Long Zheng, Bao-Liang Lu. Cross-Subject Emotion Recognition Using Deep Adaptation Networks.in Proc. of the International Conference on Neural Information Processing (ICONIP2018), 2018: 275-286. [pdf]
• Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng, Bao-Liang Lu. Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. in Proc. of the International Conference on Neural Information Processing (ICONIP2018), 2018: 275-286. [pdf]
• Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He (2018). Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. in Proc. of the ACM Multimedia Conference on Multimedia Conference (ACM MM2018). 2018: 108--116.[pdf]
• He Li, Wei-Long Zheng, Bao-Liang Lu, Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks, in Proc. of International Joint Conference on Neural Networks (IJCNN-18), 2018 [pdf]
• 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, in Proc. of International Joint Conference on Neural Networks (IJCNN-18), 2018 [pdf]

2017

• Wei-Long Zheng and Bao-Liang Lu, A multimodal approach to estimating vigilance using EEG and forehead EOG. Journal of Neural Engineering, 14(2): 026017, 2017. [pdf] [Dataset] [Media Report]
• Wei-Long Zheng, Jia-Yi Zhu, and Bao-Liang Lu, Identifying Stable Patterns over Time for Emotion Recognition from EEG, IEEE Transactions on Affective Computing, 2017. [Project] [Dataset] [Media Report] [pdf]
• Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, and Bao-Liang Lu, EEG-based emotion recognition using hierarchical network with subnetwork nodes, IEEE Transactions on Cognitive and Developmental Systems, 2017. [pdf]
• Xue Yan, Wei-Long Zheng, Wei Liu, and Bao-Liang Lu, Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder, in Proc. of the International Conference on Neural Information Processing (ICONIP2017), 2017: 533-542. [pdf]
• Xue Yan, Wei-Long Zheng, Wei Liu, and Bao-Liang Lu, Investigating Gender Differences of Brain Areas in Emotion Recognition Using LSTM Neural Network, in Proc. of the International Conference on Neural Information Processing (ICONIP2017), 2017: 820-829. [pdf]
• Xing-Zan Zhang, Wei-Long Zheng, and Bao-Liang Lu, EEG-Based Sleep Quality Evaluation with Deep Transfer Learning, in Proc. of the International Conference on Neural Information Processing (ICONIP2017), 2017: 543-552. [pdf]
• Hao Tang, Wei Liu, Wei-Long Zheng, and Bao-Liang Lu, Multimodal Emotion Recognition Using Deep Neural Networks, in Proc. of the International Conference on Neural Information Processing (ICONIP2017), 2017: 811-819. [pdf]
• Wei-Ye Zhao, Sheng Fang, Ting Ji, Qian Ji, Wei-Long Zheng, Bao-Liang Lu, Emotion Annotation Using Hierarchical Aligned Cluster Analysis, in Proc. of the International Conference on Neural Information Processing (ICONIP2017), 2017: 572-580. [pdf]
• Si-Yuan Wu, Moritz Schaefer, Wei-Long Zheng, Bao-Liang Lu, Neural Patterns between Chinese and Germans for EEG-based Emotion Recognition, in Proc. of the 8th International IEEE EMBS Conference on Neural Engineering (IEEE NER2017), 2017: 94-97. [pdf]
• Zhen-Feng Shi, Chang Zhou, Wei-Long Zheng and Bao-Liang Lu, Attention Evaluation with Eye Tracking Glasses for EEG-based Emotion Recognition,in Proc. of the 8th International IEEE EMBS Conference on Neural Engineering (IEEE NER2017). [pdf]
• Li-Huan Du, Wei Liu, Wei-Long Zheng and Bao-Liang Lu, Detecting Driving Fatigue with Multimodal Deep Learning, in Proc. of the 8th International IEEE EMBS Conference on Neural Engineering (IEEE NER2017). [pdf]
• Yi-Ming Jin, Yu-Dong Luo, Wei-Long Zheng, Bao-Liang Lu, EEG-based Emotion Recognition Using Domain Adaptation Network, in Proc. of the International Conference on Orange Techology, 2017: 222--225. [pdf]

2016

• Wei-Long Zheng and Bao-Liang Lu, Personalizing EEG-based Affective Models with Transfer Learning, in Proc. of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016: 2732-3738. [pdf]
• Wei-Long Zheng, Jia-Yi Zhu, and Bao-Liang Lu, Identifying Stable Patterns over Time for Emotion Recognition from EEG, arXiv preprint arXiv:1601.02197 (2016). [link] [Media Report]
• Wei-Long Zheng, Shan-Chun Shen and Bao-Liang Lu, Online Depth Image-Based Object Tracking with Sparse Representation and Object Detection, Neural Processing Letters, pp. 1-14, 2016. [pdf]
• Wei Liu, Wei-Long Zheng and Bao-Liang Lu, Multimodal Emotion Recognition Using Multimodal Deep Learning, arXiv preprint arXiv:1602.08225 (2016). [link]
• Yong Peng, Wei-Long Zheng and Bao-Liang Lu, An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing 174: 250-264 (2016). [pdf]
• Xue-Qin Huo, Wei-Long Zheng, and Bao-Liang Lu, Driving Fatigue Detection with Fusion of EEG and Forehead EOG, in Proc. of International Joint Conference on Neural Networks (IJCNN-16), 2016: 897-904. [pdf]
• Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma and Bao-Liang Lu, Measuring Sleep Quality from EEG with Machine Learning Approaches, in Proc. of International Joint Conference on Neural Networks (IJCNN-16), 2016:905-912. [pdf]
• Wei Liu, Wei-Long Zheng, and Bao-Liang Lu, Emotion Recognition Using Multimodal Deep Learning. in Proc. of the 23nd International Conference on Neural Information Processing (ICONIP2016), 2016: 521-529. [pdf]
• Nan Zhang, Wei-Long Zheng, Wei Liu, and Bao-Liang Lu,Continuous Vigilance Estimation using LSTM Neural Networks. in Proc. of the 23nd International Conference on Neural Information Processing (ICONIP2016), 2016: 530-537. [pdf]

2015

• Wei-Long Zheng, and Bao-Liang Lu, Investigating Critical Frequency Bands and Channels for EEG-based Emotion Recognition with Deep Neural Networks, IEEE Transactions on Autonomous Mental Development (IEEE TAMD), vol. 7, no. 3, pp. 162-175, 2015. (2018 IEEE TAMD Outstanding Paper Award) [Project] [Dataset] [pdf]
• Wei-Long Zheng, Yong-Qi Zhang, Jia-Yi Zhu, and Bao-Liang Lu, Transfer Components between Subjects for EEG-based Emotion Recognition, in Proc. of the sixth International Conference on Affective Computing and Intelligent Interaction (ACII2015), 2015: 917-922. [pdf]
• Yifei Lu*, Wei-Long Zheng*, Binbin Li, and Bao-Liang Lu, Combining Eye Movements and EEG to Enhance Emotion Recognition, in Proc. of the International Joint Conference on Artificial Intelligence (IJCAI'15), 2015:1170-1176. (*contributed equally as joint first authors) [pdf]
• Wei-Long Zheng, Roberto Santana, and Bao-Liang Lu, Comparison of classification methods for EEG-based emotion recognition, in Proc. of the 2015 World Congress on Medical Physics and Biomedical Engineering (WC'15). IFMBE, 2015: 1184-1187 [pdf]
• Jia-Yi Zhu, Wei-Long Zheng, and Bao-Liang Lu. Cross-subject and Cross-gender Emotion Classification from EEG, in Proc. of the 2015 World Congress on Medical Physics and Biomedical Engineering (WC'15). IFMBE, 2015: 1188-1191 [pdf]
• Wei-Long Zheng, Hao-Tian Guo, and Bao-Liang Lu, Revealing Critical Channels and Frequency Bands for EEG-based Emotion Recognition with Deep Belief Network, in Proc. of the 7th International IEEE EMBS Conference on Neural Engineering (IEEE NER'15). IEEE, 2015: 154-157. [pdf]
• Xiang-Yu Gao, Yu-Fei Zhang, Wei-Long Zheng, and Bao-Liang Lu, Evaluating Driving Fatigue Detection Algorithms Using Eye Tracking Glasses,in Proc. of the 7th International IEEE EMBS Conference on Neural Engineering (IEEE NER'15). IEEE, 2015: 767-770. [pdf]
• Yu-Fei Zhang, Xiang-Yu Gao, Jia-Yi Zhu, Wei-Long Zheng, and Bao-Liang Lu, A Novel Approach to Driving Fatigue Detection Using Forehead EOG, to appear in Proc. of the 7th International IEEE EMBS Conference on Neural Engineering (IEEE NER'15). IEEE, 2015: 707-710. [pdf]
• Yong-Qi Zhang, Wei-Long Zheng, and Bao-Liang Lu, Transfer Components between Subjects for EEG-based Driving Fatigue Detection, in Proc. of the 22rd International Conference of Neural Information Processing (ICONIP'15), 2015: 61-68. [link]

2014

• Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, and Bao-Liang Lu. EEG-Based Emotion Classification Using Deep Belief Networks. 2014 IEEE International Conference on Multimedia & Expo (ICME'14). IEEE, 2014: 1-6. [pdf] [poster] [GELM code from Yong Peng]
• Wei-Long Zheng, Jia-Yi Zhu, and Bao-Liang Lu. Multimodel Emotion Analysis in Response to Multimedia. 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW'14). IEEE, 2014: 1-2. [pdf] [demo]
• Wei-Long Zheng, Bo-Nan Dong, and Bao-Liang Lu. Multimodal Emotion Recognition using EEG and Eye Tracking Data. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14). IEEE, 2014: 5040-5043. [pdf] [poster]
• Yong Peng, Jia-Yi Zhu, Wei-Long Zheng, and Bao-Liang Lu. EEG-Based Emotion Recognition with Manifold Regularized Extreme Learning Machine. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14). IEEE, 2014: 974-977. [pdf] [poster]
• Jia-Yi Zhu, Wei-Long Zheng, Ruo-Nan Duan, Yong Peng and Bao-Liang Lu. EEG-based Emotion Recognition Using Discriminative Graph Regularized Extreme Learning Machine. 2014 International Joint Conference on Neural Networks (IJCNN'14). IEEE, 2014: 525-532. [pdf]
• Xuemin Zhu, Wei-Long Zheng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen and Chunhui Wang. EOG-based Drowsiness Detection Using Convolutional Neural Networks. 2014 International Joint Conference on Neural Networks (IJCNN'14). IEEE, 2014: 128-134. [pdf]
• Shan-Chun Shen, Wei-Long Zheng, and Bao-Liang Lu. Online Object Tracking based on Depth Image with Sparse Coding. the 21st International Conference of Neural Information Processing (ICONIP'14). 2014: 234-241. [pdf]
• Simin Zhao, Xiangming Xu, Weilong Zheng, Jianwen Ling, Registration of Depth Image and Color Image Based on Harris-SIFT. IEEE 2012 Second International Conference on Electric Information and Control Engineering (ICEICE), 2012. [pdf]

Thesis

• Wei-Long Zheng, "Affective Brain-Computer Interactions," Ph.D. Thesis (in English), Shanghai Jiao Tong University, 2018. [pdf]
• Wei-Long Zheng, "A Study on Fatigue Detection under Complex Driving Environment," B.E. Thesis (in Chinese), South China University of Technology, 2012. [pdf] [demo] [PPT]

Patents (SooPat)

• Bao-Liang Lu, Wei-Long Zheng, and Yifei Lu, “An EEG Feature Recognition System
  and Method”, Application ID: 201710372387.7
• Bao-Liang Lu, Wei-Long Zheng, Zhen-Feng Shi, and Chang Zhou, “An Eye Movement
  Based EEG Experiment Evaluation System and Method”, Application ID: 201710378148.2
• "A Method and System of Robot Navigation Based on Color Coding Identification", Second Applicant, Application ID: 201210289058.3. (Issued)
• "A Method of Key Frame Recognition in Video Stream", Second Applicant, Application ID: 201210480917.7. (Issued)

  Dataset

SJTU Emotion EEG Dataset (SEED and SEED-IV)

A Multimodal Dataset with EEG and Forehead EOG for Vigilance Estimation (SEED-VIG)

  Projects

EEG-based Emotion Recognition in response to Multimedia

Multimodal Emotion Analysis Combining EEG and Eye Tracking Data

  Honors and Awards

• IEEE Transactions on Autonomous Mental Development Outstanding Paper Award 2018
• Excellent Ph.D Student Scholarship of Yang Yuanqing Education Fund, SJTU 2016
• National Scholarship for Graduate Student, Ministry of Education, China 2015
• Excellent Party Member of the School of Electronic, Information and Electrical Engineering SJTU 2015
• Postgraduate Academic Excellence Scholarship of SJTU 2014
• Outstanding Graduate Scholarship in SCUT 2012
• Second-class scholarship in SCUT 2011
• National Scholarships Inspirational in SCUT 2010
• National Scholarships Inspirational in SCUT 2009
• Excellent League Member in Guangdong Province 2008

  Research Activities

• IEEE Member 2019
• Program Committee Member: IJCAI 2019, IJCAI 2018.
• Reviewer and Sub-reviewer: IEEE Trans. Affective Computing, IEEE Trans. Cognitive and Developmental Systems, IEEE Trans. Biomedical Engineering, IEEE Trans. Neural Networks and Learning Systems, Journal of Neural Engineering, IEEE Trans. Intelligent Transportation Systems, Journal of Biomedical and Health Informatics, IJCAI'18, ACII'17, ICONIP'16, ICONIP'15, ICONIP'14, etc.
• Teaching Assistant for "Neural Network Theory and Applications (F033574)", Shanghai Jiao Tong University, Spring 2015, Spring 2016, Spring 2017.