个人简历

李瑞佳，讲师，2022年12月于电子科技大学获得计算机科学与技术专业博士学位。目前，主要从事机器学习相关的科研和教学工作，已发表学术论文10篇，其中SCI检索8篇。

科研成果

[1] Zihong Zhang, Ruijia Li. Q-value-based experience replay in reinforcement learning. Knowledge-Based Systems, 2025.

[2] Ruijia Li, Zhiling Cai. A clustering algorithm based on density decreased chain for data with arbitrary shapes and densities. Applied Intelligence, 2023.

[3] Ruijia Li, Zhiling Cai, Tianyi Huang, William Zhu. Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning. Knowledge-Based Systems, 2021.

[4] Ruijia Li, Xiaofei Yang, Xiaolong Qin, William Zhu. Local gap density for clustering high dimensional data with varying densities. Knowledge-Based Systems, 2019.

研究方向

目前的研究方向包括：强化学习、数据挖掘、计算机视觉

招生信息

招生专业：计算机科学与技术、人工智能，2人/年

联系方式：ruijia@cdut.edu.cn