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尊龙凯时AG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2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，区块链

代表性学术成果

[1] Aoqian Zhang, Zexue Wu, Yifeng Gong, Ye Yuan, Guoren Wang: Multivariate Time Series Cleaning under Speed Constraints. Proceedings of the ACM on Management of Data, Volume 2, Issue 6Article No.: 245, Pages 1 - 26 (SIGMOD 2025)

[2] Zexue Wu, Yifeng Gong, Aoqian Zhang*, Boyang Li: DTMamba : Dual Twin Mamba for Time Series Forecasting. Tsinghua Science and Technology (to appear)

[3] Haoyu Wang, Aoqian Zhang, Shaoxu Song, Jianmin Wang: Streaming data cleaning based on speed change. VLDB J. 33(1): 1-24 (VLDBJ 2024)

[4] Aoqian Zhang, Shuqing Deng, Dongping Cui, Ye Yuan, Guoren Wang: An Experimental Evaluation of Anomaly Detection in Time Series. Proc. VLDB Endow. 17(3): 483-496 (VLDB 2023)

[5] Xu Wang, Zhiwei Zhang, Xiaochun Yang, Guoren Wang, Aoqian Zhang, George Yuan: Efficient Authentication Processing for Spatial Keyword Queries in Hybrid Storage Blockchain. ICBCT 2022: 22-30 

[6] Ye Yuan, Delong Ma, Aoqian Zhang, Guoren Wang: Consistent Subgraph Matching over Large Graphs. (ICDE 2022): 2536-2548 

[7] Shaoxu Song, Fei Gao, Aoqian Zhang, Jianmin Wang, Philip S. Yu: Stream Data Cleaning under Speed and Acceleration Constraints. ACM Trans. Database Syst. 46(3): 10:1-10:44 (TODS 2021) 

[8] 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 (TKDE 2020) 

[9] Shaoxu Song, Aoqian Zhang: IoT Data Quality. CIKM 2020: 3517-3518 

[10] Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas: Attention-based Learning for Missing Data Imputation in HoloClean. (MLSys 2020) 

[11] Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang: Learning Individual Models for Imputation. (ICDE 2019): 160-171 

[12] 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 (VLDB 2017) 

[13] Aoqian Zhang, Shaoxu Song, Jianmin Wang: Sequential Data Cleaning: A Statistical Approach. SIGMOD Conference 2016: 909-924 (SIGMOD 2016) 

[14] Shaoxu Song, Aoqian Zhang, Lei Chen, Jianmin Wang: Enriching Data Imputation with Extensive Similarity Neighbors. Proc. VLDB Endow. 8(11): 1286-1297 (VLDB 2015) 

[15] Shaoxu Song, Aoqian Zhang, Jianmin Wang, Philip S. Yu: SCREEN: Stream Data Cleaning under Speed Constraints. SIGMOD Conference 2015: 827-841 (SIGMOD 2015) 

承担科研情况

[1] 华为-CCF胡杨林基金🧑🏿‍🔧，面向AI任务的表格数据治理，项目负责人
[2] 国家重点研发计划👰‍♂️，区块链环境下海量多模态数据管理关键技术与系统(事务处理与可扩展共识)，课题负责人
[3] 国家自然科学基金青年项目，面向分布式IoT数据的流式清洗关键技术研究♖🐝，项目负责人
[4] 北京信息科学与技术国家研究中心面上项目🏇，工业物联网数据清洗技术研究，项目负责人

所获奖励

1) ACM北京分会新星奖🏡，2024
2) 清华大学紫荆学者💅🏼🫃🏻，2018
3) 清华大学林枫奖，2016

社会兼职

1) 多次参与计算机领域TKDE、JCST、JDIQ等期刊以及数据库领域PVLDB、ICDE🏣、KDD、BigData等会议的评审工作，并担任Big Data 2022-2024数据库会议的程序委员
2) CCF数据库专业委员会执行委员
3) 三级心理咨询师

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