团队队伍

许晓佳

电话:

E-mail:xiaojiaxu@bjut.edu.cn

通讯地址:北京市朝阳区平乐园100号


研究方向

图数据挖掘与图优化、复杂网络分析、网络结构优化


个人简介

许晓佳,博士,讲师,yl6809永利检测中心软件工程系教师。2026年获中国人民大学计算机软件与理论专业博士学位。曾获国家留学基金委公派留学奖学金、优秀毕业生、优秀共产党员等荣誉。

主要围绕子图挖掘、复杂网络分析、网络结构优化与网络安全等问题开展研究,在IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Network Science and Engineering、Theoretical Computer Science、International Conference on Management of Data、The ACM Web Conference、IEEE International Conference on Data Engineering等国际期刊和会议发表多篇论文。


教育简历

2022.09-2026.06,中国人民大学,信息学院,博士

2025.01-2026.01,南洋理工大学,计算与数据科学学院,联合培养

2020.09-2022.06,中国人民大学,信息学院,硕博连读

2016.09-2020.06,中国人民大学,信息学院,学士


工作履历

2026.07-至今,yl6809永利检测中心,yl6809永利检测中心


学术兼职

长期担任多个IEEE、ACM Trans系列汇刊和国际会议审稿人


代表性研究成果

[1] Xiaojia Xu, Haoyu Liu, Xiaowei Lv, Yongcai Wang, Deying Li, Discovering antagonistic near-balanced dense subgraphs in signed networks, IEEE Transactions on Knowledge and Data Engineering, 2026, 38(9), 5765-5780.

[2] Xiaojia Xu, Haoyu Liu, Xiaowei Lv, Yongcai Wang, Deying Li, An efficient and exact algorithm for locally h-clique densest subgraph discovery, Proceedings of the ACM on Management of Data, 2024, 2(6), 1-26.

[3] Xiaojia Xu, Yongcai Wang, Lanling Xu, Deying Li, LSA: Understanding the threat of link-based scapegoating attack in network tomography, IEEE Transactions on Network Science and Engineering, 2023, 10(6), 3670-3681.

[4] Xiaojia Xu, Yongcai Wang, Yu Zhang, Deying Li, A fault diagnosis method to defend scapegoating attack in network tomography, Theoretical Computer Science, 2023, 939, 237-249.

[5] Xiaowei Lv, Xiaojia Xu, Yongcai Wang, Haoyu Liu, Deying Li, Coreness maximization through budget-limited edge insertion, Proceedings of the ACM Web Conference 2025, 2025, 1316-1330.

[6] Haoyu Liu, Yongcai Wang, Xiaojia Xu, Deying Li, Bottom-up k-vertex connected component enumeration by multiple expansion, 2024 IEEE 40th International Conference on Data Engineering, 2024, 3000-3012.