李瑞佳、男、博士、讲师、研究生导师、人工智能专业教师。

招生专业：计算机科学与技术、计算机技术、人工智能

研究方向：强化学习、数据挖掘、计算机视觉

联系方式：ruijia@cdut.edu.cn

2022年12月毕业于电子科技大学，获计算机科学与技术工学博士学位。从2017年起主要从事强化学习算法和聚类算法研究，已发表学术论文10余篇，其中SCI检索8篇。部分发表的论文如下。

[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.