Aoqian Zhang

Orcid: 0000-0003-4059-6913

According to our database1, Aoqian Zhang authored at least 32 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LakeMLB: Data Lake Machine Learning Benchmark.
CoRR, February, 2026

TLSQL: Table Learning Structured Query Language.
CoRR, January, 2026

Soft Responsive Materials Enhance Humanoid Safety.
CoRR, January, 2026

2025
Sync Without Guesswork: Incomplete Time Series Alignment.
CoRR, December, 2025

SAC-Loco: Safe and Adjustable Compliant Quadrupedal Locomotion.
CoRR, September, 2025

CARPO: Leveraging Listwise Learning-to-Rank for Context-Aware Query Plan Optimization.
CoRR, September, 2025

Cleaning Time Series under Seasonal and Trend Constraints.
Proc. ACM Manag. Data, 2025

Reproducibility Report for ACM SIGMOD 2025 Paper: 'Are Database System Researchers Making Correct Assumptions about Transaction Workloads?'.
Proceedings of the Reproducibility Reports of the 2025 International Conference on Management of Data, 2025

Accurate Table Integration via Schema and Row Matching.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Reputation-Based Blockchain Node Reallocation in Heterogeneous Networks.
Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024
Multivariate Time Series Cleaning under Speed Constraints.
Proc. ACM Manag. Data, December, 2024

Streaming data cleaning based on speed change.
VLDB J., January, 2024

DTMamba : Dual Twin Mamba for Time Series Forecasting.
CoRR, 2024

2023
An Experimental Evaluation of Anomaly Detection in Time Series.
Proc. VLDB Endow., November, 2023

2022
Consistent Subgraph Matching over Large Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Authentication Processing for Spatial Keyword Queries in Hybrid Storage Blockchain.
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.
ACM Trans. Database Syst., 2021

2020
Enriching Data Imputation under Similarity Rule Constraints.
IEEE Trans. Knowl. Data Eng., 2020

A Survey on Sampling and Profiling over Big Data (Technical Report).
CoRR, 2020

A Survey of Approximate Quantile Computation on Large-scale Data (Technical Report).
CoRR, 2020

Learning Individual Models for Imputation (Technical Report).
CoRR, 2020

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report).
CoRR, 2020

ATR: Automatic Trajectory Repairing With Movement Tendencies.
IEEE Access, 2020

Sampling for Big Data Profiling: A Survey.
IEEE Access, 2020

A Survey of Approximate Quantile Computation on Large-Scale Data.
IEEE Access, 2020

Attention-based Learning for Missing Data Imputation in HoloClean.
Proceedings of the Third Conference on Machine Learning and Systems, 2020

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

2019
Learning Individual Models for Imputation.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing.
Proc. VLDB Endow., 2017

2016
Sequential Data Cleaning: A Statistical Approach.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Enriching Data Imputation with Extensive Similarity Neighbors.
Proc. VLDB Endow., 2015

SCREEN: Stream Data Cleaning under Speed Constraints.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015


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