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师资队伍
发布时间：2025-09-15
姓名：
董群喜
职称：
教授
导师类型：
博士生导师
学科方向：
智能科学与技术,计算机科学与技术
电子邮件：
dongqx@bit.edu.cn

个人信息

北京理工大学董群喜教授、博士生导师，国家高层次青年人才，丹阳市高层次创业创新人才。长期从事情感计算、多模态心理生理信号融合等前沿交叉领域研究。近五年在脑科学领域的顶级或重要期刊上发表SCI论文50余篇；作为项目负责人主持国自然面上项目、医工融合横向项目等，作为子课题负责人参与科技创新 2030-“脑科学与类脑研究”重大项目1项，作为项目骨干参与国自然重大仪器项目1项。主持经费合计1435万，授权发明专利8项。基于上述理论方法成果进展，参与研发了便携式三导脑电抑郁障碍识别系统，对抑郁风险人群识别率>90%，为大规模精神健康筛查提供了客观高效、精准化、可推广的智能解决方案。同时，主持研制了便携式闭环精神状态迷走神经调节系统、音乐疗法系统，可实现精神健康的个性化精准干预调控，目前已累计600人次的抑郁患者临床试验，干预有效率90%以上。2025年依托相关技术，成立丹阳欣理医疗科技有限公司。

代表性成果

  1. Bridging the gap between data distribution and model: Dynamic data distribution optimization for improving critique capabilities of large language models. Expert Systems with Applications, Volume 300: 129878, Chen Xu, Tian Lan, Zhenyu Lv, Qunxi Dong, Jieshuo Zhang, Heyan Huang, Minqiang Yang, Bin Hu.

  2. CMD³: Cross-Modal Decoupled Deformable Distillation for EEG-fNIRS Fusion. IEEE Transactions on Affective Computing, Tianqi Fan, Fuze Tian, Su Wang, Haoyan Zhang, Gang Luo, Lixian Zhu, Jingxin Liu, Lei Jiang, Ran Cai, Qunxi Dong, Bin Hu.

  3. Prompt-Guided Domain Generalization for EEG Emotion Recognition. IEEE Transactions on Affective Computing, Xuan Zhang, Wang Zheng, Hongxin Cai, Zhigang Li, Yi Yang, Weijia Liu, Junru Zhu, Jingyu Liu, Bin Hu, Qunxi Dong.

  4. WDANet: Wasserstein Distribution Inspired Dynamic Adversarial Network for EEG-Based Cross-Domain Depression Recognition. IEEE Transactions on Affective Computing, Jian Shen, Kang Wang, Zeguang Zhao, Yanan Zhang, Fuze Tian, Xiaowei Zhang, Qunxi Dong, Bin Hu.

  5. Similarity-guided multi-view functional brain network fusion. Medical Image Analysis, Volume: 105: 103632, Zhigang Li, Jingyu Liu, Mengkai Sun, Fa Zhang, Bin Hu, Qunxi Dong.

  6. Constraint-Driven Causal Representation Learning for Vigilance Robust Estimation in Brain–Computer Interface, IEEE Transactions on Neural Networks and Learning Systems, Volume: 36 (12): 20328 – 20342, Xuan Zhang, Wang Zheng, Zhigang Li, Yi Yang, Weijia Liu, Hongxin Cai, Junru Zhu, Jingyu Liu, Bin Hu, Qunxi Dong.

  7. Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation. IEEE Transactions on Knowledge and Data Engineering, Chen Xu, Tian Lan, Yu Ji, Changlong Yu, Wei Wang, Jun Gao, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu.

  8. Depression recognition using high-order generalized multilayer brain functional network fused with EEG multi-domain information. Information Fusion, Volume: 114: 102723, Shanshan Qu, Dixin Wang, Chang Yan, Na Chu, Zhigang Li, Gang Luo, Huayu Chen, Xuesong Liu, Xuan Zhang, Qunxi Dong, Xiaowei Li, Shuting Sun, Bin Hu.

  9. MRI-Driven Longitudinal Studies of Hippocampal Alterations During the Initial Cognitive Decline. IEEE Journal of Translational Engineering in Health and Medicine, Volume: 13: 98-110, Qunxi Dong, Yuhang Sheng, Junru Zhu, Honghong Liu, Zhigang Li, Jingyu Liu, Yalin Wang, Bin Hu.

  10. Schizophrenia Detection Based on Morphometry of Hippocampus and Amygdala. IEEE Journal of Biomedical and Health Informatics,1 - 11, Qunxi Dong; Yuhang Sheng; Junru Zhu; Zhigang Li; Weijia Liu; Jingyu Liu.

  11. Semantic Disentangling for Audiovisual Induced Emotion. IEEE Transactions on Computational Social Systems, 1 – 9, Qunxi Dong; Wang Zheng; Fuze Tian; Lixian Zhu; Kun Qian; Jingyu Liu.

  12. Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs. IEEE Transactions on Computational Social Systems, Volume: 14 (2):1082 – 1097, Fuze Tian; Lixin Zhang; Lixian Zhu; Mingqi Zhao; Jingyu Liu; Qunxi Dong; Qinglin Zhao.

  13. Declined Tactile Angle Discrimination in Young Patients With Migraine Without Aura or Tension-Type Headache. IEEE Transactions on Computational Social Systems, Volume: 11 (5): 6684 – 6689, Ge Jiao; Jian Zhang; Zhilin Zhang; Jinglong Wu; Junru Zhu; Qunxi Dong.

  14. Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition. IEEE Transactions on Computational Social Systems, Volume: 11 (6): 7299 - 7308, Jian Shen; Kexin Zhu; Huakang Liu; Jinwen Wu; Kang Wang; Qunxi Dong.

  15. Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation. IEEE Transactions on Computational Social Systems, Volume: 11 (6): 7400 – 7410, Jingyu Liu; Zhigang Li; Yuhang Sheng; Jingjing Zhou; Lei Feng; Hongxin Cai; Weijia Liu; Fuze Tian; Qunxi Dong; Rui Liu.

  16. A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis. IEEE Journal of Biomedical and Health Informatics, Volume: 28 (8): 4854 – 4865, Qunxi Dong; Hongxin Cai; Zhigang Li; Jingyu Liu; Bin Hu.

  17. Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification. Computers in Biology and Medicine, Volume:171, Jingyu Liu, Wenxin Yang, Yulan Ma , Qunxi Dong, Yang Li, Bin Hu.

  18. Estimating Functional Brain Networks by Low-Rank Representation with Local Constraint. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume 32: 684-695, Zhigang Li; Weimin Zheng; Honghong Liu; Jingyu Liu; Chang Yan; Zhiqun Wang; Bin Hu; Qunxi Dong.

  19. Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects. IEEE Transactions on Computational Social Systems, Volume 10(6): 3602-3608, Qunxi Dong; Zhigang Li; Weijia Liu; Kewei Chen; Yi Su; Jianfeng Wu.

  20. Deep Fusion of Multi-Template using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. IEEE Transactions on Medical Imaging, Volume 43(2): 860-873, Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu.

  21. A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students. IEEE Transactions on Computational Social Systems, Volume 11(2): 2036 -2045, Jian Shen; Kexin Zhu; Zeguang Zhao; Huajian Liang; Yu Ma; Kun Qian; Yanan Zhang; Qunxi Dong.

  22. A Study of Major Depressive Disorder Based on Resting-State Multilayer EEG Function Network. IEEE Transactions on Computational Social Systems Volume 11(2): 2256 - 2266, Shuting Sun, Shanshan Qu, Chang Yan, Gang Luo, Xuesong Liu, Qunxi Dong.

  23. Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics. CNS Neuroscience & Therapeutics, Volume 29(9): 2457-2468, Weimin Zheng, Honghong Liu, Zhigang Li, Kuncheng Li, Yalin Wang, Bin Hu, Qunxi Dong, Zhiqun Wang.

  24. Multi-task dictionary learning based on convolutional neural networks for longitudinal clinical score predictions in Alzheimer’s disease[C], Human Brain and Artificial Intelligence: First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China: 21-35, Qunxi Dong et al.

  25. 基于异步芯片的多模态神经生理信号采集技术[J]，数据采集与处理(2022), 朱立贤，田福泽，董群喜，赵庆林，何安平，郑炜豪，胡斌*

  26. 刘晓星, 董群喜, 师乐, 等. 新型精神健康诊疗技术的挑战与机遇——第735次香山科学会议纪要 [J] . 中华精神科杂志, 2023, 56(1) : 67-70. DOI: 10.3760/cma.j.cn113661-20221125-00321

承担科研项目

  1. 国家自然科学基金面上项目，基于多源神经影像信息深度融合方法的抑郁障碍病理进程量化研究，2024-2027，51万元，主持；

  2. 国家科技重大专项子课题，抑郁症的前瞻性临床队列研究-“多模态数据采集标准制定及分析”，2022-2026，275万元，主持；

  3. 国家自然科学基金重大项目，面向情感功能异常神经机制的多模态生理信息异步分析系统，2023-2027，869.47万元，参与；

  4. 面向入伍新兵和日常作训官兵精神状态评估和迷走神经调节技术研究，2022-2023，60万元，主持；

  5. 多源多任务预测阿尔茨海默症风险人群的方法研究，2021-2024，40万元，主持；

  6. 中医特色综合康复方案在慢性心功能不全治疗中的应用研究，2023-2024，29万元，主持；

  7. 军科委创新特区课题，精神状态评估技术与系统—课题“总体软硬件集成优化定型”，2017-2018，580万元，主持；

  8. 基于便携式脑电的精神状态评估系统优化及性能测试技术服务项目，2024-2025，100万元，主持。