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2020 – today
- 2024
[j9]Haoyu Wang
, Aoqian Zhang, Shaoxu Song, Jianmin Wang:
Streaming data cleaning based on speed change. VLDB J. 33(1): 1-24 (2024)- [i5]Zexue Wu, Yifeng Gong, Aoqian Zhang:
DTMamba : Dual Twin Mamba for Time Series Forecasting. CoRR abs/2405.07022 (2024) - 2023
- [j8]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 (2023) - 2022
- [c7]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 - [c6]Ye Yuan, Delong Ma, Aoqian Zhang, Guoren Wang:
Consistent Subgraph Matching over Large Graphs. ICDE 2022: 2536-2548 - 2021
- [j7]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 (2021) - 2020
- [j6]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) - [j5]Zhiwei Chen, Aoqian Zhang:
A Survey of Approximate Quantile Computation on Large-Scale Data. IEEE Access 8: 34585-34597 (2020) - [j4]Zhicheng Liu, Aoqian Zhang:
Sampling for Big Data Profiling: A Survey. IEEE Access 8: 72713-72726 (2020) - [j3]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) - [c5]Shaoxu Song, Aoqian Zhang:
IoT Data Quality. CIKM 2020: 3517-3518 - [c4]Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas:
Attention-based Learning for Missing Data Imputation in HoloClean. MLSys 2020 - [i4]Aoqian Zhang, Shaoxu Song, Jianmin Wang, Philip S. Yu:
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report). CoRR abs/2003.12396 (2020) - [i3]Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang:
Learning Individual Models for Imputation (Technical Report). CoRR abs/2004.03436 (2020) - [i2]Zhiwei Chen, Aoqian Zhang:
A Survey of Approximate Quantile Computation on Large-scale Data (Technical Report). CoRR abs/2004.08255 (2020) - [i1]Zhicheng Liu, Aoqian Zhang:
A Survey on Sampling and Profiling over Big Data (Technical Report). CoRR abs/2005.05079 (2020)
2010 – 2019
- 2019
- [c3]Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang:
Learning Individual Models for Imputation. ICDE 2019: 160-171 - 2017
- [j2]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) - 2016
- [c2]Aoqian Zhang, Shaoxu Song, Jianmin Wang:
Sequential Data Cleaning: A Statistical Approach. SIGMOD Conference 2016: 909-924 - 2015
- [j1]Shaoxu Song, Aoqian Zhang, Lei Chen, Jianmin Wang:
Enriching Data Imputation with Extensive Similarity Neighbors. Proc. VLDB Endow. 8(11): 1286-1297 (2015) - [c1]Shaoxu Song, Aoqian Zhang, Jianmin Wang, Philip S. Yu:
SCREEN: Stream Data Cleaning under Speed Constraints. SIGMOD Conference 2015: 827-841
Coauthor Index
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