Shen Jian
Assistant Professor
School of Medical Technology
Beijing Institute of Technology
Room 423, New Canteen, Zhongguancun Campus
Email: shenjian@bit.edu.cn
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Shen Jian is an Assistant Professor and Associate Researcher at Beijing Institute of Technology, with research focus on psychophysiological computing and multimodal modeling. He has innovatively proposed a series of intelligent computing methods, promoting the development of a new "systematic interpretive" paradigm for the diagnosis and treatment of affective disorders. By establishing the correlation between psychological states and physiological/behavioral data, he explores the dynamic evolution patterns and asynchronous association mechanisms of psychological states and physiological/behavioral responses over time, and further effectively develops a multimodal indicator system that depicts the optimal one-to-one mapping relationship between psychological states and physiological/behavioral responses. This provides important theoretical and methodological reserves for the effective identification and large-scale early screening of depressive disorders, and effectively addresses issues such as the scarcity of objective quantitative indicator systems for depression, low recognition accuracy, and poor interpretability. Based on these research achievements, Shen Jian has accumulated over 40 published papers, including those in internationally renowned journals such as IEEE Transactions on Affective Computing, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Fuzzy Systems, and IEEE Transactions on Neural Systems and Rehabilitation Engineering, Information Fusion. He serves as a Program Committee Member of ICIC2024, an Editorial Board Member of BMC Psychiatry and Scientific Reports, a reviewer for multiple journals, and a communication review expert for the National Natural Science Foundation of China. As a project leader, he has been approved for 9 projects, including the major national special project, the General Program of the National Natural Science Foundation and the Special Postdoctoral Funding.

Research Directions

  • Interpretable Modeling Methods for Psychophysiological Indicators: Aiming at the problem that clinical objective diagnosis and treatment of depressive disorders lack interpretable quantitative evaluation indicators and models based on electroencephalography (EEG), this research proposes intrinsic feature optimization methods and interpretable modeling methods based on EEG signals, which are used to model the brain neural mechanisms of depressive disorder onset.

  • Collaborative Association Modeling Methods for Multimodal Indicators: Focusing on the problems of insufficient multimodal objective quantitative indicators and unclear collaborative association relationships between modalities in current depressive disorder identification, this research starts from multimodal representations and explores methods for constructing multimodal psychophysiological indicator systems and modeling their collaborative association characteristics.

  • Multimodal Metric-Guided Large Language Model Intervention Method: Addressing issues such as inconsistent efficacy, significant individual variability, and limited applicability in current interventions for depressive disorders, this approach delves into the dose-response relationship between LLM-based CBT regulation and depressive disorders. It aims to establish a novel diagnostic and therapeutic framework that integrates multimodal data modeling techniques with closed-loop negative feedback intervention driven by large models.

News

November 3, 2025 One patent has been granted authorization.
October 17, 2025 One major national special project was approved by National Natural Science Foundation of China.
October 5, 2025 Two papers were accepted by BIBM 2025.
September 25, 2025 One patent has been granted authorization.
September 23, 2025 One paper was accepted by Information Fusion.
September 15, 2025 One patent has been granted authorization.
September 11, 2025 One paper was accepted by Frontiers of Computer Science.
September 11, 2025 One patent has been granted authorization.
August 26, 2025 One patent has been granted authorization.
August 20, 2025 One innovation project was approved by Beijing Institute of Technology.
August 5, 2025 Jian joined BMC Psychiatry as an Editorial Board member.
August 3, 2025 One paper was awarded the Best Paper at the 19th Complex Medical Engineering Conference.
May 12, 2025 One paper was accepted by IEEE Transactions on Fuzzy Systems.
March 24, 2025 One paper was accepted by IEEE Transactions on Affective Computing.
November 10, 2024 One paper was accepted by Neurocomputing.

Selected Published Papers

  1. Shen Jian, Zhang Xiaowei*, Hu Bin, Wang Gang, Ding Zhijie, Hu Bin*. "An improved empirical mode decomposition of EEG signals for depression detection." IEEE Transactions on Affective Computing, 13(1): 262-271. (SCI Q1, Top, ESI Highly Cited)
  2. Shen Jian, Zhang Yanan, Liang Huajian, Zhao Zeguang, Zhu Kexin, Qian Kun, Dong Qunxi, Zhang Xiaowei*, Bin Hu*. "Depression recognition from EEG signals using an adaptive channel fusion method via improved focal loss." IEEE Journal of Biomedical and Health Informatics, 27(7): 3234-3245. (SCI Q1, Top)
  3. Shen Jian, Zhang Yanan, Liang Huajian, Zhao Zeguang, Dong Qunxi, Qian Kun, Zhang Xiaowei*, Hu Bin*. "Exploring intrinsic EEG features via empirical mode decomposition for depression recognition." IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31: 356-365. (SCI Q1, Top)
  4. Shen Jian, Xiaowei Zhang*, Xiao Huang, Manxi Wu, Jin Gao, Dawei Lu, Zhijie Ding, Bin Hu*. "Optimal EEG channel selection for depression detection via kernel-target alignment." IEEE Journal of Biomedical and Health Informatics, 25(7): 2545-2556. (SCI Q1, Top)
  5. Zhang Yanan, Shen Jian, Zhang Ruisheng*, Zhao Zhili. "Network representation learning via improved random walk with restart." Knowledge-Based Systems, 263: 110255. (SCI Q1, Top)
  6. Hu Bin*, Shen Jian*, Zhu Lixian*, Dong Qunxi*, Cai Hanshu*, Qian Kun*. "Fundamentals of computational psychophysiology." IEEE Transactions on Computational Social Systems, 9(2): 349-355. (SCI Q1)
  7. Ma Yu†, Shen Jian†, Zhao Zeguang, Liang Huajian, Tan Yang, Liu Zhenyu, Qian Kun*, Yang Minqiang*, Hu Bin*. "Depression recognition via facial optical flow using Bayesian networks." IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31: 3459-3468. (SCI Q1)
  8. Shen Jian, Zhu Kexin, Zhao Zeguang, Liang Huajian, Ma Yu, Qian Kun, Zhang Yanan*, Dong Qunxi*. "Psychophysiological patterns of gifted students." IEEE Transactions on Computational Social Systems, 11(2): 2036-2045. (SCI Q1)
  9. Dong Qunxi, Li Zhigang, Liu Weijia, Su Yi, Wu Jianfeng, Caselli Richard J., Reiman Eric M., Wang Yalin*, Shen Jian*. "Hippocampal morphometry and plasma NFL in cognitively unimpaired subjects." IEEE Transactions on Computational Social Systems, 10(6): 3602-3608. (SCI Q1)
  10. Shen Jian, Li Kunlin, Liang Huajian, Zhao Zeguang, Ma Yu, Wu Jinwen, Zhang Jieshuo, Zhang Yanan*, Hu Bin*. "HEMAsNet: A hemisphere asymmetry network for EEG-based depression recognition." IEEE Journal of Biomedical and Health Informatics. (SCI Q1, Top)
  11. Shen Jian#*, Zhu Kexin#, Liu Huakang#, Wu Jinwen, Wang Kang, Dong Qunxi*. "Tensor correlation fusion for multimodal emotion recognition." IEEE Transactions on Computational Social Systems. (SCI Q1)
  12. Shen Jian, Wu Jinwen, Liang Huajian, Zhao Zeguang, Li Kunlin, Zhu Kexin, Wang Kang, Ma Yu, Hu Wenbo, Guo Chenxu, Zhang Yanan*, Hu Bin*. "Explainable AI for physiological signal analysis: A systematic review." Neurocomputing, 618: 128920. (SCI Q1, Top)
  13. Shen Jian, You Lechun, Ma Yu, Zhao Zeguang, Liang Huajian, Zhang Yanan*, Hu Bin*. "UA-DAAN: Uncertainty-aware adversarial adaptation for EEG depression recognition." IEEE Transactions on Affective Computing. (SCI Q1, Top)
  14. Zhang Yanan, Xu Chen, Zhu Kexin, Ma Yu, Wang Kang, Gao Haoran, Shen Jian*, Hu Bin*. "New Paradigm for Intelligent Mental Health: A Synergistic Framework Integrating Large Language Models and Virtual Standardized Patients." IEEE Transactions on Computational Social Systems. (SCI Q1)
  15. Shen Jian, Wu Jinwen, Zhang Yanan, Zhu Kexin, Wang Kang, Hu Wenbo, Hou Kechen, Qian Kun*, Zhang Xiaowei*, Hu Bin*. "MF²-Net: Meta-fuzzy multimodal fusion for depression recognition." IEEE Transactions on Fuzzy Systems. (SCI Q1, Top)
  16. Zhang Yanan, Zhu Kexin, Gao Haoran, Wang Dehao, Shen Jian*, Hu Bin*. "A novel personalized wearable healthcare framework: exploring EEG patterns for depression monitoring." Frontiers of Computer Science. (SCI Q1)
  17. Shen Jian, Zhu Kexin, Ma Ruirui, Hu Wenbo, Tan Xiaolin, Deng Nanxi, Zhou Xinnan, Liu Yuqi, Li Changlong, Xu Wentian, Xu Chen*, Zhang Yanan*, Hu Bin*. "EmoSavior:Depression Recognition and Intervention via Multimodal Physiological Signals and Large Language Models." Information Fusion. (SCI Q1)
  18. Shen Jian, Zhao Shengjie, Yao Yuan, Wang Yue, Feng Lei. "EEG-based depression detection via splitting criterion." IEEE International Conference on Bioinformatics and Biomedicine (BIBM): 1879-1886. (CCF-B)
  19. Shen Jian, Zhang Xiaowei, Li Junlei, et al. "Depression detection from affective auditory EEG." ACII: 76-82. (EI)
  20. Shen Jian, Chen Jiaying, Ma Yu, Cao Zheyu, Zhang Yanan*, Hu Bin*. "Explainable depression recognition via GCN." IEEE International Conference on Bioinformatics and Biomedicine (BIBM): 1406-1412. (CCF-B)

Authorized Patents

  1. Hu Bin, Zhang Xiaowei, Shen Jian, Li Na, Pan Jing, Li Junlei, Wu Manxi. "A depression detection system based on optimal lead selection from multi-lead EEG", China, Patent No. 201911156635.X, August 12, 2022.
  2. Hu Bin, Zhang Xiaowei, Li Junlei, Hou Kechen, Shen Jian. "A portable EEG depression detection system combined with demographic attention mechanism", China, Patent No. ZL 202010469004.X, May 26, 2023.
  3. Hu Bin, Dong Qunxi, Shen Jian, Liu Honghong. "Method and device for predicting brain age based on sMRI multi-dimensional tensor morphological features", China, Patent No. 202210551856.2, July 26, 2024.
  4. Hu Bin, Liang Huajian, Shen Jian, Dong Qunxi, Chen Jiaying, Ma Ruirui, Zhao Zeguang, Zhu Kexin, You Lechun. "Multimodal physiological signal semantic alignment method and system for emotion recognition", China, Patent No.202310539937.5, August 26, 2025.
  5. Hu Bin, Shen Jian , Dong Qunxi, Tian Fuze, Wang Kang, Zhu Kexin, Hu Wenbo. "A depression recognition system based on multimodal domain adaptation", China, Patent No.202411521011.4, September 11, 2025.
  6. Hu Bin, Shen Jian , Zhang Yanan, Guo Chenxu, Hu Wenbo, Wu Jinwen. "An emotion recognition system based on multimodal physiological and social information", China, Patent No. 202411243948.X, September 15, 2025.
  7. Hu Bin, Shen Jian , Liang Huajian, Ma Ruirui, Xu Yihong, Wang Ziye, Wu Xinyu, Zhang Yuxuan. "A multimodal emotion recognition system based on global local spatiotemporal semantic alignment", China, Patent No. 202411466424.7, September 25, 2025.

Research Projects

  1. 2024.1 – 2027.12
    National Natural Science Foundation of China (General Program)
    Funding: 500,000
  2. 2021.11 – 2024.11
    China Postdoctoral Science Foundation (General Program)
    Funding: 80,000
  3. 2024.6 – 2024.11
    China Postdoctoral Science Foundation (Special Foundation)
    Funding: 180,000
  4. 2025.2 – 2026.01
    China University Research Innovation Fund – Digital Intelligence Innovation and Talent Special Project
    Funding: 500,000
  5. 2024.01 – 2024.12
    Beijing Institute of Technology Science and Technology Innovation Plan – Scientific Research Base Support Special Program
    Funding: 20,000
  6. 2024.05 – 2026.05
    Open Research Project of the Provincial Key Research Platform, First Hospital of Hebei Medical University
    Funding: 60,000
  7. 2024.11 – 2027.12
    Beijing Institute of Technology Base and Talent Special Program
    Funding: 400,000
  8. 2025.06 – 2026.03
    Undergraduate Education Teaching Reform and Teaching Construction Project of Beijing Institute of Technology
    Funding: 20,000
  9. 2025.01 – 2027.12
    Beijing Institute of Technology Science and Technology Innovation Plan – Special Program for Innovation in Original Basic Frontier Interdisciplinary Fields
    Funding: 300,000
  10. 2026.01 – 2028.12
    Major National Special Project of National Natural Science Foundation of China
    Funding: 400,000

Current Students

  • Class of 2022: Ma Yu (Ph.D.), Zhu Kexin (Ph.D.)
  • Class of 2023: Wang Kang (Ph.D.), Hu Wenbo (Master), Guo Chenxu (Master)
  • Class of 2024: Gao Haoran (Ph.D.), Li Kunlin (Ph.D.)
  • Class of 2025: Deng Nanxi (Master), Lu Chenyang (Master), Tan Xiaolin (Master)

Graduated Students

  • Class of 2019: You Lechun (Bachelor), Cao Zheyu (Bachelor)
  • Class of 2020: Chen Jiaying (Bachelor)
  • Class of 2021: Liang Huajian (Master), Zhao Zeguang (Master)
  • Class of 2022: Wu Jinwen (Master)