个人信息

张奥千，预聘助理教授、特别副研究员，硕士生导师。2013年和2018年分别于清华大学软件学院获得学士和博士学位。2018年至2020年在加拿大滑铁卢大学从事博士后工作。主要研究方向包括多源异构数据、物联网数据、时空数据、图数据质量与分析，机器学习，数据库等。至今已经在SIGMOD、VLDB、ICDE、TKDE等CCF A类会议或期刊上发表多篇论文。担任各类顶级期刊及会议评审，如ICDE、JDIQ等.

News: 每年计划招收硕士研究生3至4人。同时也欢迎优秀的本科生加入实验室。有意加入本课题组的同学请将个人简历发送至aoqian.zhang@bit.edu.cn。（注：具有竞赛经验的将优先考虑）。

科研方向

多源异构数据、物联网数据、时空数据、图数据质量与分析，机器学习，数据库

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)

承担科研情况

所获奖励

社会兼职

备注

Google学术：https://scholar.google.com/citations?user=uKmgKfMAAAAJ&hl=en