CURRENT POSITION

2022.06-present, Assistant Professor at InformationSystemsDepartment, School of Economics and Management, Beihang University

RESEARCH INTERESTS

Data Mining,Machine Learning for Temporal Data, Fusion Learning, Anomaly Detection

EDUCATION

2013.09-2020.01, Ph.D. in Management Science and Engineering, Successive Master-Doctor Program,School of Economics and Management, Beihang University

2009.09-2013.07, B.E. inInformation Management andInformation Systems, School of Economics and Management, Beihang University

EMPLOYMENT

2022.06-present, Assistant Professor at InformationSystemsDepartment, School of Economics and Management, Beihang University

2020.10-2022.03, Postdoctoral Researcher at Department of Informatics, Technical University of Munich

2020.02-2020.09, Researcher at Research Center for Data Intelligence, Beihang University

2017.05-2017.12, Research Intern at Social Computing Group, Microsoft Research Asia

2015.10-2017.03, Research Intern at Talent Intelligence Center (TIC), Baidu Research

Publications

[1]Hao Lin, Guannan Liu, Junjie Wu, Yuan Zuo, Xin Wan, Hong Li. Fraud Detection in Dynamic Interaction Network. IEEE Transactions on Knowledge and Data Engineering. IEEE TKDE, 2019.

[2]Hao Lin, Hengshu Zhu, Junjie Wu, Yuan Zuo, Chen Zhu, Hui Xiong. Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models. ACM Transactions on Information Systems. ACM TOIS, 2020.

[3]Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong. Collaborative Company Profiling: Insights from an Employee's Perspective. in Proceedings of the 31st AAAI Conference on Artificial Intelligence. AAAI, 2017.

[4]Hao Lin, Guannan Liu, Fengzhi Li, Yuan Zuo. Where to go? Predicting next location in IoT environment. Frontiers of Computer Science. FCS, 2019.

[5]Hao Lin, Yuan Zuo, Guannan Liu, Hong Li, Junjie Wu, Zhiang Wu. A Pseudo-Document-based Topical N-grams Model for Short Texts. World Wide Web Journal. WWWJ, 2020.

[6] Yan Jiang, Guannan Liu, Junjie Wu,Hao Lin. Telecom Fraud Detection via Hawkes-enhanced Sequence Model. IEEE Transactions on Knowledge and Data Engineering. IEEE TKDE, 2022.

[7] Yuan Zuo, Congrui Li,Hao Lin, Junjie Wu. Topic Modeling of Short Texts: A Pseudo-Document View with Word Embedding Enhancement. IEEE Transactions on Knowledge and Data Engineering. IEEE TKDE, 2021.

[8] 吴俊杰, 王静远, 胡晓倩,林浩. 城市大数据挖掘与应用. 科学出版社, 2021.03.31. ISBN：9787030670380.

[9] 吴俊杰, 刘冠男, 王静远, 左源, 部慧,林浩. (2020). 数据智能: 趋势与挑战. 系统工程理论与实践, 40(8), 2116-2149.

[10] Yuan Zuo, Guannan Liu,Hao Lin, Jia Guo, Xiaoqian Hu, Junjie Wu. Embedding Temporal Network via Neighborhood Formation. in Proceedings of the 24nd ACM SIGKDD international conference on Knowledge discovery and data mining. SIGKDD, 2018.

[11]Hao Lin, Bo Sun, Junjie Wu, Haitao Xiong. Topic Detection from Short Text: A Term-based Consensus Clustering Method. in Proceedings of the 13th International Conference on Service Systems and Service Management. ICSSSM, 2016.

[12] Yuan Zuo, Junjie Wu, Hui Zhang,Hao Lin, Fei Wang, Ke Xu, Hui Xiong. Topic Modeling of Short Texts: A Pseudo-Document View. in Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. SIGKDD, 2016.

[13] Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang,Hao Lin, Fei Wang, and Ke Xu. Complementary Aspect-based Opinion Mining Across Asymmetric Collections. in Proceedings of the 15th IEEE International Conference on Data Mining. ICDM, 2015.