Aoqian Zhang

According to our database, Aoqian Zhang authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Streaming data cleaning based on speed change.

Haoyu Wang, Aoqian Zhang, Shaoxu Song, Jianmin Wang

VLDB J., January, 2024

Multivariate Time Series Cleaning under Speed Constraints.

Aoqian Zhang, Zexue Wu, Yifeng Gong, Ye Yuan, Guoren Wang

CoRR, 2024

DTMamba : Dual Twin Mamba for Time Series Forecasting.

Zexue Wu, Yifeng Gong, Aoqian Zhang

CoRR, 2024

2023

An Experimental Evaluation of Anomaly Detection in Time Series.

Aoqian Zhang, Shuqing Deng, Dongping Cui, Ye Yuan, Guoren Wang

Proc. VLDB Endow., November, 2023

2022

Consistent Subgraph Matching over Large Graphs.

Ye Yuan, Delong Ma, Aoqian Zhang, Guoren Wang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Authentication Processing for Spatial Keyword Queries in Hybrid Storage Blockchain.

Xu Wang, Zhiwei Zhang, Xiaochun Yang, Guoren Wang, Aoqian Zhang, George Yuan

Proceedings of the ICBCT'22: The 4th International Conference on Blockchain Technology, Shanghai, China, March 25, 2022

2021

Stream Data Cleaning under Speed and Acceleration Constraints.

Shaoxu Song, Fei Gao, Aoqian Zhang, Jianmin Wang, Philip S. Yu

ACM Trans. Database Syst., 2021

2020

Enriching Data Imputation under Similarity Rule Constraints.

Shaoxu Song, Yu Sun, Aoqian Zhang, Lei Chen, Jianmin Wang

IEEE Trans. Knowl. Data Eng., 2020

A Survey on Sampling and Profiling over Big Data (Technical Report).

Zhicheng Liu, Aoqian Zhang

CoRR, 2020

A Survey of Approximate Quantile Computation on Large-scale Data (Technical Report).

Zhiwei Chen, Aoqian Zhang

CoRR, 2020

Learning Individual Models for Imputation (Technical Report).

Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang

CoRR, 2020

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report).

Aoqian Zhang, Shaoxu Song, Jianmin Wang, Philip S. Yu

CoRR, 2020

ATR: Automatic Trajectory Repairing With Movement Tendencies.

Peng Zhao, Aoqian Zhang, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao, Weixiong Rao

IEEE Access, 2020

Sampling for Big Data Profiling: A Survey.

Zhicheng Liu, Aoqian Zhang

IEEE Access, 2020

A Survey of Approximate Quantile Computation on Large-Scale Data.

Zhiwei Chen, Aoqian Zhang

IEEE Access, 2020

Attention-based Learning for Missing Data Imputation in HoloClean.

Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas

Proceedings of the Third Conference on Machine Learning and Systems, 2020

IoT Data Quality.

Shaoxu Song, Aoqian Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Learning Individual Models for Imputation.

Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing.

Aoqian Zhang, Shaoxu Song, Jianmin Wang, Philip S. Yu

Proc. VLDB Endow., 2017

2016

Sequential Data Cleaning: A Statistical Approach.

Aoqian Zhang, Shaoxu Song, Jianmin Wang

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Enriching Data Imputation with Extensive Similarity Neighbors.

Shaoxu Song, Aoqian Zhang, Lei Chen, Jianmin Wang

Proc. VLDB Endow., 2015

SCREEN: Stream Data Cleaning under Speed Constraints.

Shaoxu Song, Aoqian Zhang, Jianmin Wang, Philip S. Yu

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015