李纯果个人简介
李纯果,博士,副教授,硕士生导师。2015年毕业于中国科学院自动化研究所,获工学博士学位。曾主持过2项厅局级项目和2项校级课题,参与3项国家自然科学基金项目和2项河北省自然科学基金项目的研究,获得授权专利1项,在国内外期刊会议上发表论文十余篇。
联系方式:
邮箱:licg@hbu.cn
电话:15130480729
主要研究方向:时间序列异常检测;弱监督视频异常检测;深度学习在生物学中的应用
期刊论文:
- Bo-Wen Xiao, Hong-Jie Xing, and Chun-Guo Li, MulGad: Multi-granularity contrastive learning for multivariate time series anomaly detection. Information Fusion, 119(2025), 103008, 2025. https://doi.org/10.1016/j.inffus.2025.103008(SCI) 共同通讯
- Chun-Guo Li, Xing Mei,and Bao-Gang Hu, Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves, IEEE Transactions on Knowledge and Data Engineering, 27, No. 20, December 2015, pp. 3404-3416. (SCI)
(This work appeared as arXiv paper on Feb. 19, 2014. http://arxiv.org/pdf/1402.4542.pdf).
会议论文
- Chen Xu, Chunguo Li, Hongjie Xing, Discriminative score suppression for weakly supervised video anomaly detection. Proceedings ofthe IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 9569-9578, 2025. (EI) 第一作者:2022级研究生徐辰
- Chen Xu, Chun-Guo Li, Hong-Jie Xing, Co-teaching with Local and Global Information for Weakly Supervised Video Anomaly Detection, Accepted by IJCNN 2025. 第一作者:2022级研究生徐辰