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张丹

长聘副教授

清华大学心理与认知科学系

dzhang@tsinghua.edu.cn

职称 长聘副教授 单位 清华大学心理与认知科学系
邮箱 dzhang@tsinghua.edu.cn 个人主页
研究领域 情感脑机接口、智能心理测量
教育背景

2001.09 — 2002.07 本科,基础科学班,物理系,清华大学

2002.08 — 2005.07 本科,自动化专业,自动化系,清华大学

2006.09 — 2011.01 清华大学-德国汉堡大学博士生联合培养项目CINACS(联合导师:Andreas Engel、Brigitte Röder)

2005.09 — 2011.01 博士,生物医学工程专业,医学院生物医学工程系,清华大学(导师:高上凯)

工作履历

2011.01 — 2013.04 博士后,清华大学医学院(合作导师:左焕琮、洪波)

2013.05 — 2016.12 讲师,清华大学心理学系

2016.12— 2022.07 准聘副教授,清华大学心理学系

2022.07至今 长聘副教授,清华大学心理与认知科学系

学术兼职

以下学术组织任职:中国社会心理学会儿童发展与社会政策专委会(副主任委员)、中国家庭教育学会学习指导专业委员会(副理事长)、中国健康促进与教育协会心理健康教育分会(常务委员)、中国高等教育学会学习科学研究分会(理事)、中国心理学会工程心理学专委会(委员)、中国心理学会学习心理专委会(委员)、中国人工智能学会情感智能专委会(委员)、脑机融合与生物机器智能专委会(委员)、中国脑机接口专业联盟专委会(资深专家)

以下期刊编委: IEEE Trans. Affective Computing(Associate Editor-in-Chief)、Brain Science Advances (Co Editor-in-Chief)、心理学报(编委)、心理科学(编委)、Journal of Neuroscience Methods(编委)、Cognitive Neurodynamics(编委)、Frontiers in Human Neuroscience(编委)、Frontiers in Psychology(编委)等

研究领域

运用脑电、近红外、穿戴式神经生理传感等测量技术,研究情感脑机接口与情感生理计算方法,面向心理健康、学习科学、人机交互等领域开展智能心理测量应用

学术发表(摘录)

Ding, Y.#*, Sun, B.#, Tang, Y., Zhang, D.* (2025). Unveiling the Neural Signature of Group Cohesion in Music Co-Audition. Annals of the New York Academy of Sciences, 1554: 203–215. (IF = 4.8, JCR Q1)

Shen, X.#, Gan, R.#, Wang, K., Yang, S., Zhang, Q., Liu, Q., Zhang, D.*, Song, S.* (2025). Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition. IEEE Transactions on Affective Computing, 16(4): 3552 - 3568. (IF = 9.6, JCR Q1)

Chen, J.#, Hassan, R.#, Sun, S., Mo, Y.*, Zhang, D.* (2025). Evaluating the Impact of Lightboard Videos on College Students' Performance in a Mathematical Optimization Course. IEEE Transactions on Learning Technologies, 18: 428-437. (IF = 4.9, JCR Q1)

Li, M.#, Su, Y.#, Huang, H., Cheng, J., Hu, X., Zhang, X., Wang, H., Qin, Y., Wang, X., Lindquist, K., Liu, Z.*, Zhang, D.* (2024) Language-specific representation of emotion-concept knowledge causally supports emotion inference. iScience, 111401. (IF = 4.1, JCR Q1, 封面论文)

Shui, X.#, Lin, R.#, Luo, Z.#, Lin, B., Mao, X., Li, H., Liu, R.*, Zhang, D. * (2024). Bodily Electrodermal Representations for Affective Computing. IEEE Transactions on Affective Computing, 15(3): 1018-1025. (SCI IF = 9.6, JCR Q1)

He, W., Luo, H., Zhang, D.*, Zhang, Y.* (2024). Students' Subjective Feelings during Classroom Learning. Learning and Instruction, 91, 101891. (IF = 4.7, JCR Q1)

Tang, L.#, Yuan, P.#, Zhang, D.* (2024). Emotional experience during human-computer interaction: a survey. International Journal of Human-Computer Interaction, 40(8): 1845-1855. (SCI IF = 3.4, JCR Q1)

Shen, X.#, Liu, X.#, Hu, X., Zhang, D.*, Song, S.* (2023). Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. IEEE Transactions on Affective Computing, 14(3): 2496-2511. (SCI IF = 11.2, JCR Q1, ESI高被引论文-2023年10月)

Chen, J.#, Wang, X.#, Huang, C., Hu, X., Shen, X., Zhang, D.* (2023). A large finer-grained affective computing EEG dataset. Scientific Data, 10:740, DOI: 10.1038/s41597-023-02650-w. (IF = 9.8, JCR Q1)

Chen, J.#, Xiao, Y.#, Xu, B., Zhang, D.* (2023). The Developmental Trajectory of Task-related Frontal EEG Theta/Beta Ratio in Childhood. Developmental Cognitive Neuroscience, 60, 101233. (SCI IF = 4.7, JCR Q1)

Chen, J., Qian, P., Gao, X., Li, B., Zhang, Y.*, Zhang, D.* (2023). Inter-brain coupling reflects disciplinary differences in real-world classroom learning. npj Science of Learning, DOI: 10.1038/s41539-023-00162-1. (SCI IF = 4.2, JCR Q1)

Hu, X., Wang, F., Zhang, D.* (2022). Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles. NeuroImage, 118819 (SCI IF = 5.7, JCR Q1, 封面文章)

Li, W., Wu, C., Hu, X., Chen, J., Fu, S., Wang, F.*, Zhang, D.* (2022). Quantitative Personality Predictions from a Brief EEG Recording. IEEE Transactions on Affective Computing, 13(3): 1514-1527. (SCI IF = 11.2, JCR Q1)

Ding, Y.#, Hu, X.#, Xia, Z., Liu, Y.-J., Zhang, D.* (2021). Inter-brain EEG Feature Extraction and Analysis for Continuous Implicit Emotion Tagging during Video Watching. IEEE Transactions on Affective Computing, 12(1): 92-102. (SCI IF = 13.990, JCR Q1)

Hu, X.#, Chen, J.#, Wang, F., Zhang, D.* (2019). Ten Challenges for EEG-based Affective Computing. Brain Science Advances, 5(1): 1–20. (Editor's Top Picks 2019-2020)

Hu, X., Yu, J., Song, M., Yu, C., Wang, F., Sun, P., Wang, D.* Zhang, D.* (2017). EEG Correlates of Ten Positive Emotions. Frontiers in Human Neuroscience, 11(796), 2765. (SCI IF = 3.209, JCR Q1)

Zhang, D.#, Song, H.#, Xu, R., Zhou, W., Ling, Z., & Hong, B.* (2013). Toward a minimally invasive brain-computer interface using a single subdural channel: a visual speller study. NeuroImage, 71, 30–41. (SCI IF = 6.252, JCR Q1)

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