教育经历：
● 澳大利亚悉尼科技大学(2019-2023)
■ 软件工程博士(2023)
● 深圳大学 (2011-2018)
■ 计算机科学与技术硕士(2018), 计算机科学与技术学士(2015)
工作经历：
● 北京理工大学（珠海）
■ 助理教授（2024.04-）
● 悉尼科技大学
■ 助理研究员 (2023.03-2024.03)
主要研究领域：
图数据管理与挖掘、社交网络分析、路网查询与分析
代表性成果：
[1] Yu-Xuan Qiu , RongHua Li, Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, and Rui Mao, “Efficient Structural Clustering on Probabilistic Graphs,” IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 10, pp. 1954–1968, Sep 2018. (TKDE, CCF A, CORE A*)
[2] Yu-Xuan Qiu , Dong Wen, RongHua Li, Lu Qin, Michael Yu, Xuemin Lin, “Computing Significant Cliques in Large Labeled Networks,” IEEE Transactions on Big Data, vol. 9, no. 3, pp. 904–917, Jun 2023. (CAS B2, CCF C, IF=4.271)
[3] Michał Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu , Mingshan Jia, Katarzyna Musial, Radosław Michalski, Piotr Bródka, “Network Diffusion Framework to Simulate Spreading Processes in Complex Networks,” Big Data Mining and Analytics, vol. 7, no. 3, pp. 637–654, Sep 2024. (CAS B1, IF=7.7)
[4] Qiangqiang Dai, RongHua Li, Donghang Cui, Meihao Liao, Yu-Xuan Qiu , Guoren Wang, “Efficient Maximal Biplex Enumerations with Improved WorstCase Time Guarantee,” in Proceedings of the ACM on Management of Data, Santiago, Chile, June 2024. (SIGMOD 2024, CCF A, CORE A*)
[5] Yu-Xuan Qiu , Dong Wen, Lu Qin, Wentao Li, Ronghua Li, Ying Zhang, “Efficient Shortest Path Counting on Large Road Networks,” in International Conference on Very Large Databases, Sydney, Australia, Sep 2022. (VLDB 2022, CCF A, CORE A*)
