陈茜，工学博士，讲师。主要从事图像情感分析、自然语言处理等方面的研究。近年来发表SCI、EI检索论文4篇。

教育经历：

学士大连理工大学数学科学学院 专业：信息与计算科学

博士南洋理工大学计算机科学与工程学院 专业：计算机科学

研究方向：

图像情感分析，面部表情分析，自然语言处理等

联系方式：chen_c@hainanu.edu.cn

论文：

[1] Qian Chen, Iti Chaturvedi, Shaoxiong Ji and Erik Cambria, "Sequential Fusion of Facial Appearance and Dynamics for Depression Recognition," Pattern Recognition Letters, Vol. 150, pp: 115-121, 2021. [Online]. （SCI Q2.）

[2] Iti Chaturvedi, Qian Chen, Erik Cambria and Desmond McConnell, ”Landmark Calibration for Facial Expressions and Fish Classification,” Signal, Image and Video Processing 16.2 (2022): 377-384. （SCI Q4.）

[3] Luna Ansari, Shaoxiong Ji, Qian Chen and Erik Cambria, "Ensemble Hybrid Learning Methods for Automated Depression Detection," IEEE Transactions on Computational Social Systems (2022). （SCI Q1.）

[4] Chen Qian, Iti Chaturvedi, Soujanya Poria, Erik Cambria and Lorenzo Malandri, "Learning Visual Concepts in Images Using Temporal Convolutional Networks," in IEEE Symposium Series on Computational Intelligence (SSCI), 2018, pp. 1280- 1284.

[5] Xiuzhuang Zhou, Kai Jin, Qian Chen, Min Xu and Yuanyuan Shang, "Multiple face tracking and recognition with identity-specific localized metric learning," Pattern Recognition (2018): 41-55. （SCI Q1.）