职称：讲师

联系方式：ruili@stu.edu.cn

个人主页：https://scholar.google.com/citations?user=V9oO4oMAAAAJ&hl=en

个人简介：李瑞，2020年10月博士毕业于香港城市大学；现为汕头大学工学院计算机系讲师。主要研究兴趣为深度学习，迁移学习，主要研究内容包括设计并优化深度迁移算法模型以提升神经网络模型在不同数据域间的泛化能力，并应用于机器视觉和自然语言处理等相关的任务中，其中包括图片分类、分割，情感计算等。

研究成果发表在IEEE Transactions On Image Processing(TIP)，Pattern Recognition(PR)，IEEE Conference on Computer Vision and Pattern Recognition（CVPR）等图像处理或模式识别的国际主流学术期刊或会议。

一作/通讯论文：

1. Rui Li, Wenming Cao, Si Wu, Hau-San Wong. Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. IEEE Transaction on Image Processing, TIP. 2020. (CCF A)

2. Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu. Model Adaptation: Unsupervised Domain Adaptation without Source Data. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2020. (CCF A)

3. Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong. Simplified Unsupervised Image Translation for Semantic Segmentation Adaptation. Pattern Recognition Journal, PR. 2020. (CCF B)

4. Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li*, Qianfen Jiao, Zhiwen Yu, Hau-San Wong. Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. Pattern Recognition Journal, PR. 2022. (CCF B)通讯

5. Rui Li, Wenming Cao, Sheng Qian, Hau-San Wong, Si Wu. Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR. 2018. (CCF C)