黄锐泓，博士。2016年毕业于厦门大学获软件工程学士学位，2022年毕业于清华大学获软件工程博士学位。主要研究方向为数据质量、数据库、数据挖掘、人工智能。欢迎报考本人的研究生，招生方向为：软件工程（085405）、网络空间安全（083900）。

课题组常年招收本科实习生参与课题研究、项目实践及学科竞赛，欢迎有论文发表意愿及较强自驱力的同学加入我们！（来信请附带简历）

1.2022.08-至今 福建师范大学，软件工程系，副教授

2.2016.09-2022.06 清华大学，软件学院，工学博士

3.2012.08-2016.07 厦门大学，软件学院，工学学士

[1]Ruihong Huang, Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei. Efficiently cleaning structured event logs: a graph repair approach. ACM Transactions on Database System (TODS), 2023. (CCF A)

[2]Shaoxu Song, Fei Gao, Ruihong Huang, Chaokun Wang. Data dependencies extended for variety and veracity: a family tree. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A)

[3]Shaoxu Song, Ruihong Huang, Yu Gao, Jianmin Wang. Why not match: on explanations of event pattern queries. Proceedings of the 2021 ACM International Conference on Management of Data (SIGMOD), 2021. (CCF A)

[4]Shaoxu Song, Ruihong Huang, Yue Cao, Jianmin Wang. Cleaning timestamps with temporal constraints. The VLDB Journal, 2021. (CCF A)

[5]Shaoxu Song, Fei Gao, Ruihong Huang, Yihan Wang. On saving outliers for better clustering over noisy data. Proceedings of the 2021 ACM International Conference on Management of Data (SIGMOD), 2021. (CCF A)

[6]Ruihong Huang, Shaoxu Song, Yunsu Lee, Jungho Park, SooHyung Kim and Sungmin Yi. Effective and efficient retrieval of structured entities. Proceedings of the VLDB Endowment (VLDB), 2020. (CCF A)

[7]Ruihong Huang. Approximate event pattern matching over hetero-geneous and dirty sources. Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020. (CCF B)