張奧千，預聘助理教授、特別副研究員，碩士生導師。2013年和2018年分別於清華大學軟體學院獲得學士和博士學位。2018年至2020年在加拿大滑鐵盧大學從事博士後工作。主要研究方向包括多源異構數據、物聯網數據、時空數據、圖數據質量與分析，機器學習，資料庫等。已經在SIGMOD、VLDB、ICDE、TKDE等CCF A類會議或期刊上發表多篇論文。擔任各類頂級期刊及會議評審，如ICDE、JDIQ等.
基本介紹
- 中文名：張奧千
- 學位/學歷：博士
科研方向,學術成果,
科研方向
多源異構數據、物聯網數據、時空數據、圖數據質量與分析，機器學習，資料庫
學術成果
[1] Shaoxu Song, Aoqian Zhang: IoT Data Quality. CIKM 2020: 3517-3518. (CIKM, CCF B類會議)
[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類期刊, 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類期刊)
[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類會議)
[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類會議)
[7] Aoqian Zhang, Shaoxu Song, Jianmin Wang:
Sequential Data Cleaning: A Statistical Approach. SIGMOD Conference 2016: 909-924. (SIGMOD, CCF A類會議)
[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類會議)
[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類會議)
