People

Professor

SI Xiaopeng

Title/Position:Professor

Research Areas:Brain-computer interface and neural engineering, brain cognition and artificial intelligence, multimodal neural information processing (e.g., EEG-fNIRS, intracranial EEG) and intelligent computing, affective computing and affective neuroscience, emotional artificial intelligence and computational intelligence, etc.

Email:xiaopengsi@tju.edu.cn

Brief Introduction:

Xiaopeng Si, Ph.D., Professor, Doctoral Advisor, Director of multimodal brain cognition and intelligence (MBCI) Lab. Xiaopeng Si received the B.S. and Ph.D. degrees in Biomedical Engineering from Tianjin University and Tsinghua University, respectively. He was a visiting scholar in the department of Biomedical Engineering at Johns Hopkins University. Dr. Si currently works as a tenured full professor and is the director of the Multimodal Brain Cognition and Intelligence (MBCI) Laboratory at Tianjin University since 2018. His research interest includes brain cognition and intelligence, neural engineering and brain-computer interface (BCI), multimodal neural information acquisition and computing, etc. His group integrates multimodal neuroimaging (e.g., EEG-fNIRS, iEEG) with deep-learning techniques to elucidate human cognitive processes and to translate these insights into next-generation multimodal BCIs. He has led numerous national and international research projects, and his team’s work has been published in leading journals such as PNAS, IEEE T Affect Comput, IEEE J Biomed Health, IEEE T Neur Sys Reh, Biological Psychiatry, Expert Syst Appl, Cyborg and Bionic Systems, Cereb Cortex (Cover Article), J Neural Eng. The team won first prize in the 2022 World Robot Contest Affective BCI Competition (world No. 1), second prize in the 2023 World Robot Contest BCI Paper Competition (world No. 2), and second prize in the 2024 World Robot Contest Minimally Invasive BCI Competition.


Selected Publications:

1. Xiaopeng Si# , Wenjing Zhou, and Bo Hong*. Cooperative cortical network for categorical processing of Chinese lexical tone. Proceedings of the National Academy of Sciences (PNAS), 2017, 114(46): 12303–12308.

2. Xiaopeng Si#*, Shuai Zhang#, Zhuobin Yang, Jiayue Yu, Dong Ming*. A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimodal affective BCI. Expert System With Applications (ESWA), 2025, 266 (March 25): 126081.

3. Xiaopeng Si#*, He Huang#, Jiayue Yu#, Dong Ming*. EEG microstates and fNIRS metrics reveal the spatiotemporal joint neural processing features of human emotions. IEEE Transactions on Affective Computing (IEEE TAFFC), 2024, 15(4): 2128-2138.

4. Xiaopeng Si#*, He Huang#, Jiayue Yu, Dong Ming*. The fNIRS-Based Emotion Recognition by Spatial Transformer and WGAN Data Augmentation Toward Developing a Novel Affective BCI. IEEE Transactions on Affective Computing (IEEE TAFFC), 2025, 16(2): 875-890.

5. He Huang#, Xiaopeng Si#*, Yumeng Han#, Dong Ming*. A Novel Conditional Adversarial Domain Adaptation Network for EEG Cross-subject Emotion Recognition, IEEE Transactions on Affective Computing (IEEE TAFFC), 2025, 16(4): 2905-2917.

6. Zhuobin Yang#, Xiaopeng Si#*, Weipeng Jin#, Dong Huang, Yunliang Zang, Shaoya Yin*, Dong Ming*. SEEG Emotion Recognition Based on Transformer Network With Channel Selection and Explainability. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2025, 29(11): 58153-8163.

7. Yulin Sun#, Weipeng Jin#, Xiaopeng Si#*, Xingjian Zhang, Jiale Cao, Le Wang, Shaoya Yin*, Dong Ming*. Continuous Seizure Detection Based on Transformer and Long-Term iEEG, IEEE Journal of Biomedical and Health Informatics (JBHI), 2022, 26(11)5418-5427.

8. Xiaopeng Si#*, Yumeng Han#, Sicheng Li#, Shuai Zhang, Dong Ming*. The Cortical Spatial Responses and Decoding of Emotion Imagery Toward a Novel fNIRS-Based Affective BCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), 2025, 33: 2577-2586.

9. Xiaopeng Si#*; He Huang#, Jiayue Yu, Dong Ming*. Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet. Cyborg and Bionic Systems (CBS), 2023, 4: 0045.

10. Tongpeng Chu#, Xiaopeng Si#*, Haizhu Xie, Heng Ma, Yinghong Shi, Wei Yao, Dong Xing, Feng Zhao, Fanghui Dong, Qun Gai, Kaili Che, Yuting Guo, Danni Chen, Dong Ming*, Ning Mao*, Regional Structural-Functional Connectivity Coupling in Major Depressive Disorder Is Associated With Neurotransmitter and Genetic Profiles, Biological Psychiatry (BP), 2025, 97(3):290-301.


Grants:

1. National Natural Science Foundation of China (NSFC), Research on Spatiotemporal Encoding Mechanism and Decoding of Emotional Brain Based on Multimodal and Multiscale Human Brain Neural Information (No. 62376191), Principal Investigator.

2. National Natural Science Foundation of China (NSFC), Research on Collaborative Encoding Mechanism of Chinese Language Processing Brain Network and Speech Decoding Based on Multimodal Brain Imaging (No. 61906132), Principal Investigator.

3. Beijing-Tianjin-Hebei Basic Research Cooperation Special Project, Research on Theories and Key Technologies of Multimodal Large Model Brain-Computer Interaction Oriented to Intelligent Rehabilitation Scenarios (No. 24JCZXJC00400), Principal Investigator.

4. National Key R&D Program of China (Ministry of Science and Technology) — Key Special Project of Biology-Information Integration: Ultra-fine Decoding and Enhancement Technology for Dynamic Memory Processing (No. 2024YFF1206500), Sub-project: Research on Cross-scale Ultra-fine Decoding Technology of Multidimensional Memory Information (No. 2024YFF1206501), Sub-project Principal Investigator.

5. National Key R&D Program of China (Ministry of Science and Technology) — Key Special Project of Biology-Information Integration: Research and Application on High-precision Acquisition and Computing Chip Key Technologies of Non-invasive Neuroelectrophysiological Signals (No. 2021YFF1200600), Sub-project: Programmable Intelligent Encoding and Decoding Computing Chip for Electrophysiological Signals (No. 2021YFF1200602), Task Leader.

6. Tianjin High-level Talent Special Support Program (Tianjin Human Resources and Social Security Bureau), Tianjin University AI-assisted Epilepsy Recognition Research Team (No. XC202020), Principal Investigator.


Student Awards Supervised:

2025 Supervised postgraduate Zhang Shuai to win the National Scholarship

2024 Supervised postgraduate Huang He to win the National Scholarship

2022 Champion and First Prize, Emotional Brain-Computer Interface Final, BCI Brain-Controlled Robot Competition, World Robot Contest Finals

2025 Second Prize, Technical Competition of BCI Brain-Controlled Robot Competition, World Robot Contest

2025 Second Prize (Undergraduate Group), the 10th National College Students Biomedical Engineering Innovation Design Competition

2024 Second Prize (Undergraduate Group), the 9th National College Students Biomedical Engineering Innovation Design Competition

2024 Second Prize, Technical Competition of BCI Brain-Controlled Robot Competition (Limb Movement Intention Recognition Based on Minimally Invasive BCI), World Robot Contest

2022 Second Prize, Technical Competition of BCI Brain-Controlled Robot Competition, World Robot Contest

2020 Second Prize, Technical Competition of BCI Brain-Controlled Robot Competition, World Robot Contest Finals

Honors & Awards:

2025 Award of Top 100 Young Experts in Brain-Computer Interface Field

2021 Key Cultivated Talents of Tianjin Special Program for Research Teams (Tianjin Municipal Bureau of Human Resources and Social Security)

2023 Runner-up & Second Prize, Youth Paper Competition on Brain-Computer Interface, World Robot Contest

2023 National First-Class Undergraduate Course: Neuroengineering

2023 Second Batch National Emerging Engineering Research and Practice Project: Frontiers of Intelligent Medicine Development

2024 National Online Demonstration Course approved by National Steering Committee of Engineering Education: Neuroengineering

2025 Tianjin University Teaching Reform Project for New-form Textbook Construction: Brain and Cognitive Science

2024 Tianjin First-Class Undergraduate Course: Frontiers of Intelligent Medicine Development

2021 Tianjin Distinguished Teacher for Curriculum Ideological and Political Education: Neuroscience and Engineering

2021 First Batch of Tianjin Postgraduate Demonstration Courses for Curriculum Ideological and Political Education: Neuroscience and Engineering