人员队伍
刘梦
职位：博士后
电子邮箱：liumeng_1995@sjtu.edu.cn
电话：
研究方向：
计算社会心理学；认知神经科学简介：
研究方向：面部表情建模、面部感知、情感理论、脑动力学；
跨学科方法，包括计算机t图形、心理物理学、信息理论、脑成像（MEG）、眼球追踪和数学建模等；
编程（Python & MATLAB）、数据可视化等。
学术经历：
2017-2021年，University of Glasgow,博士
2013-2017，电子科技大学，本科
工作经历：
2022年至今 在上海交通大学承担博士后工作
2021.10-2022.3 Fab Inc. data scientist
学术出版：
[1]Liu, M., Duan, Y., Ince, R.A.A., Chen, C., Garrod, O.G.B., Schyns, P.G., and Jack, R.E. (2021). Facial expressions elicit multiplexed perceptions of emotion categories and dimensions. Current Biology.
[2] Zhan, J., Liu M., Garrod, O.G.B., Daube, C., Ince R.A.A, Jack R.E., Schyns, P.G. (2021). Modelling Individual preferences reveals that face beauty is not universally perceived across cultures. Current Biology.
Conference Proceedings：
[1] *Liu, M., van Rijsbergen Nicola, Ince R.A.A., Garrod, O.G.B., and Jack, R.E., Schyns, P.G. (2021). Affective decoding of face signals in the brain is dynamically distinct. Society for Affective Science, 2021.
[2]Liu, M., Duan, Y., Ince, R.A.A., Chen, C., Garrod, O.G.B., Schyns, P.G., and Jack, R.E. (2020). Building a generative space of facial expressions of emotions using psychological data-driven methods. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents.
[3]Liu, M., Ince, R.A.A., Chen, C., Garrod, O.G.B., Schyns, P.G., and Jack, R.E. (2020). Emotion Categories are Represented by a 2-Dimensional Valence-Arousal Space. Journal of Vision 20, 1224–1224. Liu, M., van Rijsbergen, N., Garrod, O., Ince, R., Jack, R., & Schyns, P. (2021). Semantic Decoding of Affective Face Signals in the Brain is Temporally Distinct. Journal of Vision, 21(9), 2589-2589.
[3]Zhan, J., Liu, M., Garrod, O. G., Jack, R. E., & Schyns, P. G. (2020). A Generative Model of Cultural Face Attractiveness. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (pp. 1-3).
[4]Nölle, J., Garrod, O. G., Chen, C., Liu, M., Ince, R. A., Schyns, P. G., & Jack, R. E. (2021) Understanding the semiotic affordances of human facial expressions using data-driven methods. The 7th International Conference Ways to Protolanguage.
*Published as top abstract
Conference Proceedings：
[1] *Liu, M., van Rijsbergen Nicola, Ince R.A.A., Garrod, O.G.B., and Jack, R.E., Schyns, P.G. (2021). Affective decoding of face signals in the brain is dynamically distinct. Society for Affective Science, 2021.
[2]Liu, M., Duan, Y., Ince, R.A.A., Chen, C., Garrod, O.G.B., Schyns, P.G., and Jack, R.E. (2020). Building a generative space of facial expressions of emotions using psychological data-driven methods. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents.
[3]Liu, M., Ince, R.A.A., Chen, C., Garrod, O.G.B., Schyns, P.G., and Jack, R.E. (2020). Emotion Categories are Represented by a 2-Dimensional Valence-Arousal Space. Journal of Vision 20, 1224–1224. Liu, M., van Rijsbergen, N., Garrod, O., Ince, R., Jack, R., & Schyns, P. (2021). Semantic Decoding of Affective Face Signals in the Brain is Temporally Distinct. Journal of Vision, 21(9), 2589-2589.
[3]Zhan, J., Liu, M., Garrod, O. G., Jack, R. E., & Schyns, P. G. (2020). A Generative Model of Cultural Face Attractiveness. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (pp. 1-3).
[4]Nölle, J., Garrod, O. G., Chen, C., Liu, M., Ince, R. A., Schyns, P. G., & Jack, R. E. (2021) Understanding the semiotic affordances of human facial expressions using data-driven methods. The 7th International Conference Ways to Protolanguage.
*Published as top abstract
