姓　　名：
彭玉佳
职　　称：
研究员 博导
研究领域：
临床心理学 焦虑与抑郁 社会认知 脑成像 人工智能
通信地址：
北京大学哲学楼
电子邮件：
yujia_peng@pku.edu.cn
个人主页：
https://www.ypeng.org/
实验室主页：
https://www.psy.pku.edu.cn/kxyj/kysys/363505.htm

彭玉佳研究员于2014年毕业于北京大学心理学系，获得学士学位。2019年毕业于加州大学洛杉矶分校，获得博士学位。2019年到2021年，在加州大学洛杉矶分校Michelle Craske和Hakwan Lau组从事博士后研究。2021年9月入职北京大学心理与认知科学学院。彭玉佳研究员的研究主要关注焦虑症与抑郁症的机制研究，以及社会认知与人工智能研究。研究成果发表于Biological Psychiatry : Cognitive Neuroscience and Neuroimaging, Psychiatry Research， Psychological Science, Cognition，Vision Research等同行评议的重要学术期刊上。

彭玉佳课题组聚焦于临床心理学的基础研究，同时涉及认知神经和人工智能的交叉研究。课题组致力于探究焦虑症和抑郁症的心理与神经机制以及治疗方法。实验方法包含人类心理物理学实验、核磁共振成像及脑电、眼动记录及其他生物信号记录、计算建模和机器学习等。具体研究问题包括但不限于：

（1）针对生物运动识别、社会认知、意图理解等任务，临床病人是否与常人存在行为反应、眼动轨迹、生理信号反应、及大脑神经网络活动上的不同；临床病人群体内部是否存在个体差异，以及这些个体差异如何与临床症状相关联。

（2）在纵向追踪的时间层面上，是否存在神经信号、环境因素、行为信号等，可以预测焦虑症状的发生和发展。

（3）基于多维数据维度，是否可以依赖个体差异，实现最优治疗方法的匹配，以及构建个性化治疗方案。

英文论著

(* Equal contribution, # Corresponding author)

Peng, Y., Han, J., Zhang, Z., Fan, L., Liu, T., Qi, S., ... & Zhu, S. C. (2023). The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions. Engineering. https://doi.org/10.1016/j.eng.2023.07.006

Peng, Y.#, Wang, Y., & Lu, D., (2023). The mechanism of emotion processing and intention inference in social anxiety disorder based on biological motion. Advances in Psychological Science, 31(6), 905-914. https://doi.org/10.3724/SP.J.1042.2023.00905.

Peng, Y. *, Knotts, J. D. *, Young, K. S., Bookheimer, S. Y., Nusslock, R., Zinbarg, R. E., ... & Craske, M. G.# (2023). Threat neurocircuitry predicts the development of anxiety and depression symptoms in a longitudinal study. Biological psychiatry: cognitive neuroscience and neuroimaging. 8(1): 102-110. https://doi.org/10.1016/j.bpsc.2021.12.013

Peng, Y., Gong, X., Lu, H., & Fang, F. (2023). Mapping between the Human Visual System and Two-stream DCNNs in Action Representation. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). Austin, TX: Cognitive Science Society.

Jiang, G., Xu, M., Xin, S., Liang, W., Peng, Y., Zhang, C., & Zhu, Y. (2023). MEWL: Few-shot multimodal word learning with referential uncertainty. Proceedings of the 40th International Conference on Machine Learning (PMLR) 202:15144-15169.

Peng, Y.*, Knotts, J.D.*#, Taylor, C.T., Craske, M.G., Stein, M.B., Bookheimer, S., Young, K.S., Simmons, A.N., Yeh, H., Ruiz, J., Paulus, P.M. (2021). Failure to identify robust latent variables of positive or negative valence processing across units of analysis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 6(5), 518-526.

Shu, T.#, Peng, Y., Zhu, S., & Lu, H. (2021). A unified psychological space for human perception of physical and social events. Cognitive Psychology. 128. 101398.

Peng, Y. #, Lu, H., & Johnson, S. P. (2021). Infant perception of causal motion produced by humans and inanimate objects. Infant Behavior and Development, 64, 101615.

Peng, Y. #, Lee, H., Shu, T., & Lu, H. (2020). Exploring biological motion perception in two-stream convolutional neural networks. Vision Research, 178, 28-40.

Chiang J.N. #, Peng, Y., Lu, H., Holyoak, K.J., & Monti, M.M. (2020). Distributed code for semantic relations predicts neural activity during analogical reasoning. Journal of Cognitive Neuroscience, 1-13.

Peng, Y. #, Ichien, N., & Lu, H. (2020). Causal actions enhance perception of continuous body movements. Cognition, 194, 104060,

Ogren, M.#, Kaplan, B., Peng, Y., Johnson, K. L., & Johnson, S. P. (2019). Motion or emotion: Infants discriminate emotional biological motion based on low-level visual information. Infant Behavior and Development, 57, 101324.

Tsang, T., Ogren, M., Peng, Y., Nguyen, B., Johnson, K.L. & Johnson S.P. # (2018). Infant perception of sex differences in biological motion displays. Journal of Experimental Child Psychology, 173, 338–350.

Keane, B. P.*, Peng, Y.*, Demmin, D., Silverstein, S. M., & Lu, L. (2018). Intact perception of coherent motion, dynamic rigid form, and biological motion in chronic schizophrenia. Psychiatry Research, 268, 53-59.

Shu, T.*#, Peng, Y.*, Fan, L., Zhu, S., & Lu, H. (2017). Perception of human interaction based on motion trajectories: from aerial videos to decontextualized animations. Topics in Cognitive Science, 10(1), 225-241.

Peng, Y. #, Thurman, S., & Lu, H. (2017). Causal action: A fundamental constraint on perception and inference about body movements. Psychological Science, 28(6), 798-807.

van Boxtel, J. #, Peng, Y., Su, J., & Lu, H. (2016). Individual differences in high-level biological motion tasks correlate with autistic traits. Vision Research, 141, 136-144.

Chen, J., Yu, Q., Zhu, Z., Peng, Y., & Fang, F.# (2016). Spatial summation revealed in the earliest visual evoked component C1 and the effect of attention on its linearity. Journal of Neurophysiology, 115(1), 500-509.

Chen, J., He, Y., Zhu, Z., Zhou, T., Peng, Y., Zhang, X., & Fang, F.# (2014). Attention-dependent early cortical suppression contributes to crowding. The Journal of Neuroscience, 34(32), 10465-10474.

Lu, J. *, & Peng, Y.*# (2014). Brain-computer interface for cyberpsychology: components, methods, and applications. International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 4(1), 1-14.