一、基本信息
出生年月：1986年7月
职称：助理研究员
最高学位：博士
主要研究方向：计算机视觉 特殊教育信息化
导师类别（专硕、学硕、博导）：无
工作单位：计算机与人工智能学院
邮箱：ruyi.xu@whut.edu.cn
二、教育及工作经历
2020-09至 2024-06,华中师范大学,教育技术学,博士
2008-09至 2018-06,华中科技大学,电路与系统,硕士
2004-09至 2008-06,武汉科技大学,自动化,学士
三、近期主持的科研项目
1.2024-2026，孤独症儿童非典型面部表情的检测与解析，中国博士后基金会,5万元，主持
四、近期代表性学术成果
（1）Xu R, Wang Z, Chen J, et al. Facial expression intensity estimation using label-distribution- learning-enhanced ordinal regression. Multimedia Systems, 2024, 30(1): 1-12.
（2）Chen J, Chen C, Xu R*. Autism identification based on the intelligent analysis of facial behaviors: an approach combining coarse-and fine-grained analysis. Children 11.11 (2024): 1306.
（3）Chen J, Shi J, Xu R*. Dual subspace manifold learning based on GCN for intensity-invariant facial expression recognition. Pattern Recognition, 2023: 110157.
（4）Chen J, Yang L, Tan L, Xu R*. Orthogonal channel attention-based multi-task learning for multi-view facial expression recognition. Pattern Recognition, 2022, 129: 108753.
（5）Xu R, Han J, Chen J. Ordinal information based facial expression intensity estimation for emotional interaction: a novel semi-supervised deep learning approach. Computing, 2022: 1-18.
（6）Chen J, Guo C, Xu R, et al. Toward children's empathy ability analysis: Joint facial expression recognition and intensity estimation using label distribution learning. IEEE Transactions on Industrial Informatics, 2021, 18(1): 16-25.
（7）Peng S, Xu R*, Yi X, et al. Early Screening of Children with Autism Spectrum Disorder Based on Electroencephalogram Signal Feature Selection with L1-Norm Regularization. Frontiers in Human Neuroscience, 2021, 15:242-.
（8）Xu R, Chen J, Han J, et al. Towards emotion-sensitive learning cognitive state analysis of big data in education: deep learning-based facial expression analysis using ordinal information. Computing, 2020, 102: 765-780.
（9）Chen J, Lv Y, Xu R* ,et al. Automatic social signal analysis: Facial expression recognition using difference convolution neural network. Journal of Parallel and Distributed Computing, 2019, 131:97-102.