个人简介
石睿,讲师,硕导,2022年于日本东京大学取得博士学位,同年入职北京工业大学。
主要从事复杂系统归因可解释性研究,主持国家自然科学基金青年项目、北京市自然科学基金青年项目等多项研究课题,在相关领域发表学术论文二十余篇,论文开源项目受到OpenCV AI Kit官方收录,受邀担任东京大学客座研究员等国际学术兼职。
围绕自动驾驶、人工智能方向,指导多名学生承担大创等科研课题,获得国家级、省部级科技竞赛奖项,形成高水平SCI、EI论文以及发明专利,成功升学至国内外知名高校或入职行业内顶尖企业。
主要成果
[1]R.Shi, T.Li, Y.Yamaguchi,L.Zhang.Understanding decision-making of autonomous driving via semantic attribution. IEEE Transactions on Intelligent Transportation Systems, 2024, DOI: 10.1109/TITS.2024.3483810.
[2] R.Shi, T.Li, L.Zhang, Y.Yamaguchi.Visualization comparison of vision transformers and convolutional neural networks.IEEE Transactions on Multimedia, 2024, 26: 2327-2339.
[3]R.Shi, T.Li, Y.Yamaguchi,L.Zhang.Exploring decision shifts in autonomous driving with attribution-guided visualization. IEEE Transactions on Intelligent Transportation Systems, 2024, DOI: 10.1109/TITS.2024.3513400.
[4]T.Li, R.Shi, Z.Li, T.Kanai, Q.Zhu. Efficient deformation learning of varied garments with a structure-preserving multilevel framework.ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2024, Article No. 8.
[5] T.Li, R.Shi, Q.Zhu, T.Kanai. SwinGar: Spectrum-inspired neural dynamic deformation for free-swinging garments.IEEE Transactions on Visualization and Computer Graphics, 2024, 26: 2327-2339.