最终学位：博士
导师类型：
电子邮箱：lilingsxu@sxu.edu.cn
联系电话：0351-7010566
研究方向：数据挖掘和机器学习
李玲，博士，讲师，2024年博士毕业于东北大学计算机科学与工程学院，研究兴趣主要包括数据挖掘和机器学习，重点围绕大图数据搜索、图数据挖掘、图神经网络等方面的问题开展学术研究。近年来，在IEEE International Conference on Data Engineering (ICDE) 、IEEE Transactions on Knowledge and Data Engineering、Knowledge-Based Systems、Annual Conference on Neural Information Processing Systems (NeurIPS)、计算机学报等国内外期刊和会议发表论文多篇。
[1] Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin. COCLEP: Contrastive Learning-based Semi-Supervised Community Search. 2023 IEEE 39th International Conference on Data Engineering (ICDE), Anaheim, CA, USA, 2023, pp, 2483-2495. (CCF A类会议)
[2] Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang. Efficient community search in edge-attributed graphs[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(10): 10790-10806. (CCF A类期刊)
[3] Ling Li, Yuhai Zhao, Yuan Li, Fazal Wahab, Zhengkui Wang. The most active community search in large temporal graphs[J]. Knowledge-Based Systems, 2022, 250: 109101. (JCR Q1)
[4] Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang. Efficient Community Search in Edge-Attributed Graphs (Extended Abstract)[C], 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 2024, pp, 5731-5732. (CCF A类会议)
[5] 李玲, 印莹, 赵宇海, 王国仁, 董祥军. 基于解耦概要图的大规模图数据高效分布式挖掘算法[J]. 计算机学报, 2020, 43 (7). (CCF A 类中文期刊)
[6] Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li. GALOPA: Graph transport learning with optimal plan alignment[C]. The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023. (CCF A类会议)