张丹 - 清华大学 - 社会科学学院

个人简介

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至今副教授，清华大学心理学系学术兼职中国心理学会工程心理专业委员会委员、学习心理专业委员会委员中国高等教育学会学习科学研究分会，理事以下期刊编委: IEEE Trans. Affective Computing（副主编）、心理学报、心理科学、Journal of Neuroscience Methods、Frontiers in Human Neuroscience、Frontiers in Psychology、Brain Science Advances等以下期刊审稿人: eLife, NeuroImage, Human Brain Mapping, Cerebral Cortex, Psychophysiology, Journal of Neural Engineering, IEEE Tran. Affective Computing, IEEE Trans. Biomedical Engineering, IEEE Trans. Neural System and Rehabilitation Engineering, IEEE Access, Neurocomputing, Brain Topography等

研究领域

运用脑机接口、穿戴式神经生理测量技术，开展面向情感计算、人机交互、学习科学、精神障碍等领域的智能心理测量方法与应用研究: 1. 面向情绪状态实时识别与情绪特异特质测评的脑机接口应用 2. 基于神经生理信号的情感计算方法 3. 心理健康的智能测量技术与应用 4. 情绪的神经生理机制 5. 基于脑际认知视角的社会认知神经机制

近期论文

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Shen, X.#, Liu, X.#, Hu, X., Zhang, D.*, Song, S.* (2022). Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. IEEE Transactions on Affective Computing, DOI: 10.1109/TAFFC.2022.3164516. (SCI IF = 13.990, 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 = 7.400, JCR Q1, 封面文章) Shui, X., Zhang, M., Li, Z., Hu, X., Wang, F., Zhang, D.* (2021). A dataset of daily ambulatory psychological and physiological recording for emotion research. Scientific Data, 8:161. (SCI IF = 6.444, JCR Q1) Chen, J., Wang, Y., Maye, A., Hong, B., Gao, X., Engel, A.K., Zhang, D.* (2021). A Spatially-coded Visual Brain-Computer Interface for Flexible Visual Spatial Information Decoding. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 29, 926-933. (SCI IF = 3.802, JCR Q1) Li, Z.#, Li, J.#, Hong, B., Nolte, G., Engel, A.K., Zhang, D.* (2021). Speaker-listener neural coupling reveals an adaptive mechanism for speech comprehension in a noisy environment. Cerebral Cortex, DOI: 10.1093/cercor/bhab118. (SCI IF = 5.375, JCR Q1) Liu, H., Zhao, C., Wang, F.* & Zhang, D.* (2021). Inter-brain amplitude correlation differentiates cooperation from competition in a motion-sensing sports game. Social Cognitive and Affective Neuroscience, DOI: 10.1093/scan/nsab031. (SCI IF = 3.436, JCR Q2) 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 = 10.506, JCR Q1) Liao, P.-C., Sun, X., & Zhang, D.* (2021). A multimodal study to measure the cognitive demands of hazard recognition in construction workplaces. Safety Science, 133, 105010. (SCI IF = 4.877, JCR Q1) Li, W., Hu, X., Long, X., Tang, L., Chen, J., Wang, F.* & Zhang, D.* (2020). EEG responses to emotional videos can quantitatively predict big-five personality traits. Neurocomputing, 415: 368-381. (SCI IF = 4.438, JCR Q1) Li, W., Wu, C., Hu, X., Chen, J., Fu, S., Wang, F.* & Zhang, D.* (2020). Quantitative Personality Predictions from a Brief EEG Recording. IEEE Transactions on Affective Computing, DOI: 10.1109/TAFFC.2020.3008775. (SCI IF = 7.512, JCR Q1) Qu, Z.#, Chen, J.#, Li, B., Tan, J., Zhang, D.*, & Zhang, Y.* (2020). Measurement of High-School Students’ Trait Math Anxiety Using Neurophysiological Recordings During Math Exam. IEEE Access, 8, 57460–57471. (SCI IF = 3.745, 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) Chen, J.#, Li, Z.#, Hong, B., Maye, A., Engel, A. K., & Zhang, D.* (2019). A Single-Stimulus, Multitarget BCI Based on Retinotopic Mapping of Motion-Onset VEPs. IEEE Transactions on Biomedical Engineering, 66(2), 464–470. (SCI IF = 4.491, JCR Q1) Zhang, Y., Qin, F., Liu, B., Qi, X., Zhao, Y., & Zhang, D.* (2018). Wearable Neurophysiological Recordings in Middle-School Classroom Correlate with Students' Academic Performance. Frontiers in Human Neuroscience, 12, 457. (SCI IF = 2.871, JCR Q1) Zhang, D.* (2018). Computational EEG Analysis for Hyperscanning and Social Neuroscience. In Im C. (Eds) Computational EEG Analysis (Vol. 44, pp. 1–14). Singapore: Springer Singapore. 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) Wang, F., Li, G., Chen, J., Duan, Y.*, & Zhang, D.* (2016). Novel semi-dry electrodes for brain-computer interface applications. Journal of Neural Engineering, 13(4), 046021. (SCI IF = 3.493, JCR Q1) Zhang, D., Song, H., Xu, R., & Hong, B.* (2015). fMRI-Guided Subdural Visual Motion BCI with Minimal Invasiveness. In Guger C. et al. (Eds) Brain-Computer Interface Research: A State-of-the-Art Summary 3. Springer. 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) 沈新科，李奕超，刘锦，宋森，张丹*. 基于脑电功能连接微状态的情绪状态解码. 智能科学与技术学报, 2021, 3(1):49-58. 陈菁菁，张丹*. 神经科学中的自然刺激：批判性的赞扬. 清华社会科学, 2019, 1(2): 133-143. 陈小刚, 王毅军*, 张丹*. 2018年脑机接口研发热点回眸. 科技导报, 2019, 37(1): 173-179. （核心期刊）张丹#*, 陈菁菁#, 王毅军. 2017年脑机接口研发热点回眸. 科技导报, 2018, 36(1): 104-109. （核心期刊）张丹*, 刘永进, 赵国朕, 陈益强. 自然交互的生理计算. 中国计算机学会通讯, 2018, 14(5): 35-39. 张丹*, 李佳蔚. 探索思维的力量: 脑机接口研究现状与展望. 科技导报, 2017, 35(9): 62-67. （核心期刊）冯雪, 张丹*. 探索日常生活中的心理与行为规律:运用移动传感技术的心理学研究. 科技导报，2017, 35(2): 45-49. （核心期刊）