þ Doctoral supervisor

þ Master Supervisor

Current Professional Societies

Member of the China Computer Society's Committee on System Software and Software Engineering

Research Areas

Biomedical signal processing

Brain-computer interface

Honors

l Beijing Municipal Education Commission Project - Research and Implementation of Key Technologies and Models for Data Flow Systems, Project Leader

l Talents Strong Education Middle-aged and Young Backbone Teachers Funding Project, Project Leader

l Beijing University of Technology Doctoral Startup Fund "Research on Key Technologies for P2P Systems Based on Agent Technology," Project Leader

l National Key Basic Research Program - Trusted Computing Related Theories and Key Technologies, Participant

l National Informationization Standardization Committee - Trusted Computing Supporting Standards, Participant

l Enterprise Cooperation Project - Nanmofang Police Station Comprehensive Business Information System, Participant

Publications

1. Themes

l Chen J, Wang D*, Yi W, et al. Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding[J]. Journal of Neural Engineering, 2023, 20(2): 026001.

l Chen J, Yi W, Wang D*, et al. FB-CGANet: filter bank Channel Group Attention network for multi-class motor imagery classification[J]. Journal of Neural Engineering, 2022, 19(1): 016011.

l Xu M, Wang D*, Li Z, et al. IncepA-EEGNet: P300 signal detection method based on fusion of Inception network and attention mechanism[J]. Journal of ZheJiang University (Engineering Science), 2022, 56(4): 745-753, 782.

l Xu M, Chen Y, Wang Y, Wang D*, et al. BWGAN-GP: An EEG Data Generation Method for Class Imbalance Problem in RSVP Tasks[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30: 251-263.

l Xu M, Chen Y, Wang D*, et al. Multi-objective optimization approach for channel selection and cross-subject generalization in RSVP-based BCIs[J]. Journal of Neural Engineering, 2021, 18(4): 046076.

l Yang P, Wang D*, Zhao W B, et al. Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification[J]. Biomedical Signal Processing and Control, 2021, 63: 102138.

l Zhao Q, Wang D*, Li J, et al. Exploiting the concept level feature for enhanced name entity recognition in Chinese EMRs[J]. The Journal of Supercomputing, 2019: 1-22.

l Zhao Qing, Wang Dan, Xu Shushi, et al. A weakly supervised recognition method for Chinese medical entities [J]. Journal of Harbin Engineering University, 2020, 41(3): 425-432.

l Yang P, Wang D, Du X L, et al. Evolutionary dbn for the customers’ sentiment classification with incremental rules[C]//Industrial Conference on Data Mining. Springer, Cham, 2018: 119-134.

2. Patents

l Wang Dan, Gou Xi, Yang Ping, Du Jinlian, Fu Lihua. A method for detecting P waves and T waves in ECG signals based on Gaussian function fitting (Patent No.: CN201910297580.8)

l Zhao Qing, Wang Dan, Du Jinlian, Fu Lihua, Su Hang. A named entity recognition method based on feature fusion. (Patent No.: CN201910099671.0)

l Zhao Qing, Wang Dan, Feng Weiwei, Du Jinlian, Fu Lihua. A zero-shot unsupervised entity relationship extraction method. (Patent No.: CN201910790569.5)

l Wang Dan, Xu Shushi, Zhao Qing, Du Jinlian, Fu Lihua. A named entity recognition method based on the Attention mechanism. (Patent No.: CN201910246935.0)

l Wang Dan, Yu Yueren, Du Jinlian, Fu Lihua, Su Hang, Li Tong. A text sentiment classification method based on a hybrid model (Patent No.: CN202010091064.2)

Personal Statement

In recent years, I have been engaged in research topics related to brain-computer interfaces (BCIs), especially those based on motor imagery and rapid serial visual presentation (RSVP). I have conducted key technology research on classification and target recognition using big data, machine learning, deep learning, and various physiological signals such as electroencephalography (EEG) and electrocardiography (ECG). I have led and participated in projects funded by the Beijing Natural Science Foundation, the National Natural Science Foundation of China, the Beijing Municipal Education Commission, the National Defense Science and Technology Bureau, and commissioned projects from enterprises and institutions. I have published several papers in domestic and international journals such as the Journal of Neural Engineering (JNE), IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), IEEE Transactions on Biomedical Engineering (TBME), and at international conferences such as IEEE EMBC.