通过对传统表情识别的深入研究，提出了自发性面部微表情数据库和微表情自动分析等一系列算法。
（1）解决遮挡问题
主要相关成果
Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, and Xiaohua Huang*. Objective class-based micro-expression recognition under partial occlusion via region-inspired relation reasoning network. IEEE Transactions on Affective Computing, vol. 13, no. 4, pp. 1998-2016, 2022
（2）深度网络
主要相关成果：
Ling Zhou#, Qirong Mao, Xiaohua Huang*, Feifei Zhang, and Zhihong Zhang. Feature refinement: an expression-specific feature learning and fusion method for micro-expression recognition. Pattern Recognition, vol. 122, 108275, 2022. (CCF-A, SCI一区)
Yante Li#, Xiaohua Huang, and Guoying Zhao. Micro-expression action unit detection with spatial and channel attention. Neurocomputing, vol. 436, pp. 221-231, 2021. (CCF-A, SCI一区)
Yante Li#, Xiaohua Huang, and Guoying Zhao. Joint local and global information learning with single apex frame detection for micro-expression recognition. IEEE Transactions on Image Processing, vol. 30, pp. 249-263, 2020. (CCF-A, SCI一区)
（3）传统特征描述子
Xiaohua Huang, Sujing Wang, Xin Liu, Guoying Zhao, Xiaoyi Feng, and Matti Pietikäinen. Discriminative *** local binary pattern with revisited integral projection for spontaneous facial micro-expression recognition. IEEE Transactions on Affective Computing, vol. 10, no. 1, pp. 32-47, 2019. （CCF-B，SCI二区）
（4）数据库
Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao and Matti Pietikäinen. Towards reading hidden emotions: a comparative study of spontaneous micro-expression spotting and recognition methods. IEEE Transactions on Affective Computing, vol. 9, no. 4, pp. 563-577, 2018. (CCF-B，SCI二区)