Name: Zhang Aoqian
Discipline: Computer Science and Technology
Title: Pre-appointed Assistant Professor (Special Associate Researcher)
Contact number:
E-mail: aoqian.zhang@bit.edu.cn
Address: Personal Information
Aoqian Zhang, pre-appointed Assistant Professor, Special Associate Researcher, master's supervisor. He received his bachelor's degree and Doctor's degree from School of Software, Tsinghua University in 2013 and 2018 respectively. From 2018 to 2020, he worked as a postdoctoral fellow at the University of Waterloo, Canada. His research interests include multi-source heterogeneous data, Internet of Things data, spatiotemporal data, graph data quality and analysis, machine learning, database, etc. So far, he has published many papers in CCF Class A conferences or journals such as SIGMOD, VLDB, ICDE, TKDE. As a reviewer for various top journals and conferences, such as ICDE, JDIQ, etc.
News: We plan to recruit 3 to 4 postgraduate students every year. Excellent undergraduates are also welcome to join the laboratory. If you are interested in joining this team, please send your resume to aoqian.zhang@bit.edu.cn. (Note: Competition experience will be preferred).

Research Direction
Multi-source heterogeneous Data, iot Data, Spatiotemporal Data, Graph Data Quality and Analysis, Machine Learning, Database

Personal Information
Aoqian Zhang, pre-appointed Assistant Professor, Special Associate Researcher, master's supervisor. He received his bachelor's degree and Doctor's degree from School of Software, Tsinghua University in 2013 and 2018 respectively. From 2018 to 2020, he worked as a postdoctoral fellow at the University of Waterloo, Canada. His research interests include multi-source heterogeneous data, Internet of Things data, spatiotemporal data, graph data quality and analysis, machine learning, database, etc. So far, he has published many papers in CCF Class A conferences or journals such as SIGMOD, VLDB, ICDE, TKDE. As a reviewer for various top journals and conferences, such as ICDE, JDIQ, etc.
News: We plan to recruit 3 to 4 postgraduate students every year. Excellent undergraduates are also welcome to join the laboratory. If you are interested in joining this team, please send your resume to aoqian.zhang@bit.edu.cn. (Note: Competition experience will be preferred).

Personal Information
Aoqian Zhang, pre-appointed Assistant Professor, Special Associate Researcher, master's supervisor. He received his bachelor's degree and Doctor's degree from School of Software, Tsinghua University in 2013 and 2018 respectively. From 2018 to 2020, he worked as a postdoctoral fellow at the University of Waterloo, Canada. His research interests include multi-source heterogeneous data, Internet of Things data, spatiotemporal data, graph data quality and analysis, machine learning, database, etc. So far, he has published many papers in CCF Class A conferences or journals such as SIGMOD, VLDB, ICDE, TKDE. As a reviewer for various top journals and conferences, such as ICDE, JDIQ, etc.
News: We plan to recruit 3 to 4 postgraduate students every year. Excellent undergraduates are also welcome to join the laboratory. If you are interested in joining this team, please send your resume to aoqian.zhang@bit.edu.cn. (Note: Competition experience will be preferred).

代表性学术成果
[1] Shaoxu Song, Aoqian Zhang: IoT Data Quality. CIKM 2020: 3517-3518. (CIKM, CCF B类会议)
[2] Peng Zhao, Aoqian Zhang, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao, Weixiong Rao: ATR: Automatic Trajectory Repairing With Movement Tendencies. IEEE Access 8: 4122-4132 (2020). (IEEE Access, CCF B类期刊, SCIE)
[3] Shaoxu Song, Yu Sun, Aoqian Zhang, Lei Chen, Jianmin Wang:
Enriching Data Imputation under Similarity Rule Constraints. IEEE Trans. Knowl. Data Eng. 32(2): 275-287 (2020). (TKDE, CCF A类期刊)
[4] Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas:
Attention-based Learning for Missing Data Imputation in HoloClean. MLSys 2020.
[5] Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang: Learning Individual Models for Imputation. ICDE 2019: 160-171. (ICDE, CCF A类会议)
[6] Aoqian Zhang, Shaoxu Song, Jianmin Wang, Philip S. Yu:
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing. Proc. VLDB Endow. 10(10): 1046-1057 (2017). (VLDB, CCF A类会议)
[7] Aoqian Zhang, Shaoxu Song, Jianmin Wang:
Sequential Data Cleaning: A Statistical Approach. SIGMOD Conference 2016: 909-924. (SIGMOD, CCF A类会议)
[8] Shaoxu Song, Aoqian Zhang, Lei Chen, Jianmin Wang:
Enriching Data Imputation with Extensive Similarity Neighbors. Proc. VLDB Endow. 8(11): 1286-1297 (2015). (VLDB, CCF A类会议)
[9] Shaoxu Song, Aoqian Zhang, Jianmin Wang, Philip S. Yu:
SCREEN: Stream Data Cleaning under Speed Constraints. SIGMOD Conference 2015: 827-841. (SIGMOD, CCF A类会议)
所获奖励