姓名：边存灵
职称职务：博士、讲师
联系方式：clbian@ouc.edu.cn
研究领域：教育人工智能、计算机视觉等
社会兼职：担任CVPR，AAAI，ACMMM，PRL等国际优秀会议及期刊审稿人
办公地点：教育系212
学术经历：
分别于2016年、2019年毕业于中国海洋大学教育系并获得学士和硕士学位。2023年毕业于天津大学智能与计算学部计算机应用技术专业，获得工学博士学位，同年加入中国海洋大学工作至今。多年来一直致力于教育人工智能、计算机视觉等方面的研究工作，以第一作者在IEEE TIP、CVIU、ACM MM等国际高水平期刊和会议上发表论文，作为主要成员参与科技部“十三五”重点研发计划、国家自然科学基金等多项课题。
部分成果：
Bian C, Feng W, & Wang S. Global-Local Contrastive Multiview Representation Learning for Skeleton-Based Action Recognition. Computer Vision and Image Understanding, 2023, 103655. (SCI, CCF-B期刊, IF:4.886)
Bian C, Feng W, & Wang S. Self-Supervised Representation Learning for Skeleton-Based Group Activity Recognition. ACM International Conference on Multimedia, 2022, 5990-5998. (CCF-A会议)
Bian C, Feng W, Wan L, & Wang S. Structural knowledge distillation for efficient skeleton-based action recognition. IEEE Transactions on Image Processing, 2021, 30: 2963-2976. (SCI, CCF-A期刊, IF:11.04)
Bian C, Zhang Y, Yang F, Bi W, & Lu W. Spontaneous facial expression database for academic emotion inference in online learning. IET Computer Vision, 2019, 13(3): 329-33. (SCI, CCF-C期刊, IF:1.484)
Bian C, Wang D, Liu S, & Lu W. Adaptive learning path recommendation based on graph theory and an improved immune algorithm. KSII Transactions on Internet and Information Systems, 2019, 13(5): 2277-2298. (SCI)
Bian C, Zhang Y, Wang D, Liang Y, Wu B, & Lu W. An academic emotion database and the baseline evaluation. International Conference on Computer Science & Education, 2018, 1-6. (EI)
Bian C, Wang D, Zhang Y, & Lu W. Inferring academic emotion in online learning based on spontaneous facial expression. International Conference on Computers in Education, 2018, 83-88. (EI)