Aoqian Zhang is currently a Post Doctoral Fellow in data system group, Cheriton School of Computer Science, University of Waterloo, under supervison of Prof. Ihab Francis Ilyas. He received his Ph.D in 2018 in Software Engineering from School of Software, Tsinghua University, under supervision of Prof. Jianmin Wang and Prof. Shaoxu Song. He received his B.E. in 2013 in Computer Software from School of Software, Tsinghua University.
Data Cleaning, Data Imputation and Temporal Anomaly Detection.
[ICDE] Aoqian Zhang, Shaoxu Song*, Yu Sun, Jianmin Wang, "Learning Individual Models for Imputation", 35th IEEE International Conference on Data Engineering(ICDE), Macao, China, April 8-11, 2019, pp.160-171 [PDF][Code@Github]
[PVLDB] Aoqian Zhang, Shaoxu Song*, Jianmin Wang, Philip S. Yu, "Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing", PVLDB 10(10): 1046-1057 (2017) [PDF][Code@Github]
[PVLDB] Shaoxu Song*, Aoqian Zhang, Lei Chen, Jianmin Wang, "Enriching Data Imputation with Extensive Similarity Neighbors", PVLDB 8(11): 1286-1297 (2015) [PDF]
[ACM SIGMOD'15] Shaoxu Song*, Aoqian Zhang, Jianmin Wang, Philip S. Yu "SCREEN: Stream Data Cleaning under Speed Constraints", ACM SIGMOD Conference, Melbourne, VIC, Australia, May 31 - June 4, 2015 [PDF][Code@Github]
Tsinghua Zi Jing Scholar (for counsellor who do fantastic job in research)
2017, 2014, First-class Scholarship (Glodon Scholarship), Tsinghua University
2016, Tsinghua Lin Feng Counsellor Prize (highest honor to counsellors of undergraduates)
2015, National Scholarship, Tsinghua University
2015, Excellent Communist Party Member of Master in Tsinghua
2013, Data transfer group champion, Solve for tomorrow, National Youth Science Innovation Experiment Competition
A project develops data quality tools for large scale time series data, including data profiling, anomaly detection and data repairing. It is one of the projects in the National Engineering Laboratory for Big Data Software(NEL-BDS)