李伟东，男，讲师，硕士研究生导师，研究方向为知识图谱、图神经网络、自然语言处理。

2010级本科毕业于河南工业大学。2017级博士毕业于武汉大学。

本人专注于知识图谱、生成式人工智能方面的研究。

已发表相关领域6篇一作代表性论文（5篇SCI二区+1篇C类会议论文），其中包含CCF A类期刊TKDE论文一篇。

爱Python，爱生活，爱钻研各种计算机学科相关技术问题。

开设课程：操作系统、计算机网络及应用基础、移动应用程序设计

研究方向：知识图谱、生成式人工智能、图神经网络

发表的论文及著作（近5年比较有代表性的科研成果）：

[1]Li Weidong(李伟东), Peng Rong, Li Zhi. Knowledge graph completion by jointly learning structural features and soft logical rules[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(3): 2724-2735. (CCF A类期刊，IF: 9.235)

[2] Li Weidong(李伟东), Peng Rong, Li Zhi. Improving knowledge graph completion via increasing embedding interactions[J]. Applied Intelligence, 2022, 52 (8): 9289-9307. (SCI 2区，IF: 5.019)

[3] Li Weidong(李伟东), Peng Rong. Hyperbolic knowledge graph embedding with logical pattern learning[C]//Proceeding of the International Joint Conference on Neural Networks, 2021: 1-8. (CCF C类会议，EI会议)

[4] Li Weidong(李伟东), Peng Rong, Wang Yaqian, Yan Zhihuan. Knowledge graph based natural language generation with adapted pointer-generator networks[J]. Neurocomputing, 2020, 382: 174-187. (SCI 2区，IF: 5.779 )

[5]Li Weidong(李伟东), Peng Rong, Li S, Wang Yaqian, Yan Zhihuan. Co-occurrence graph based hierarchical neural networks for keyphrase generation[J]. Neurocomputing, 2020, 415: 15-26. (SCI 2区，IF: 5.779 )

邮箱：liweidong@hbut.edu.cn