Xiaoou Ding

According to our database, Xiaoou Ding authored at least 36 papers between 2015 and 2025.

Collaborative distances:

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

2025

Description-Similarity Rules: Towards Flexible Feature Engineering for Entity Matching.

Yafeng Tang, Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu, Huan Hu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling.

Zheng Liang, Hongzhi Wang, Xiaoou Ding, Zhiyu Liang, Chen Liang, Yafeng Tang, Jianzhong Qi

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

$t$DCDiscover: Mining Threshold Denial Constraints from Time Series Data.

Xiaoou Ding, Muyun Zhou, Yida Liu, Zekai Qian, Chen Wang, Hongzhi Wang, Jianmin Wang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

CBAClean:A Comprehensive System for Recommending Data Cleaning Solutions Through Cost-Benefit Analysis in Data Quality Management.

Xiaoou Ding, Hongbin Su, Zekai Qian, Wenxuan Cui, Siying Chen, Zheng Liang, Chen Wang, Hongzhi Wang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

UniClean: A Multi-Signal Fusion Pipeline for Optimizing Data Cleaning Workflow.

Xiaoou Ding, Zekai Qian, Hongzhi Wang, Zhe Sun, Siying Chen, Hongbin Su, Huan Hu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Impute4TSC: Evaluating Missing Value Imputation Methods for Time Series Classification.

Xiaoou Ding, Cong Peng, Muyun Zhou, Hongzhi Wang, Zhongyi Pei, Chen Wang, Jianmin Wang

Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

TempSched: A Temperature-Aware Storage Scheduler for Time Series Across Cloud-Edge-Device.

Shuangshuang Cui, Hongzhi Wang, Xianglong Liu, Xiaoou Ding

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data.

Xiaoou Ding, Yichen Song, Hongzhi Wang, Chen Wang, Donghua Yang

Proc. VLDB Endow., September, 2024

Front Matter.

Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou

Proc. VLDB Endow., August, 2024

Clean4TSDB: A Data Cleaning Tool for Time Series Databases.

Xiaoou Ding, Yichen Song, Hongzhi Wang, Donghua Yang, Chen Wang, Jianmin Wang

Proc. VLDB Endow., August, 2024

DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data.

Xiaoou Ding, Yixing Lu, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang

Proc. VLDB Endow., July, 2024

Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover.

Xiaoou Ding, Yida Liu, Hongzhi Wang, Chen Wang, Yichen Song, Donghua Yang, Jianmin Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Time Series Data Cleaning Under Expressive Constraints on Both Rows and Columns.

Xiaoou Ding, Genglong Li, Hongzhi Wang, Chen Wang, Yichen Song

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

TSDDISCOVER: Discovering Data Dependency for Time Series Data.

Xiaoou Ding, Yingze Li, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Hyper-parameter Recommendation for Truth Discovery.

Siying Chen, Xiaoou Ding, Zheng Liang, Yafeng Tang, Hongzhi Wang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

TS-Cabinet: Hierarchical Storage for Cloud-Edge-End Time-series Database.

Shuangshuang Cui, Hongzhi Wang, Xianglong Liu, Zeyu Tian, Xiaoou Ding

CoRR, 2023

Cleanits-MEDetect: Multiple Errors Detection for Time Series Data in Cleanits.

Xiaoou Ding, Yichen Song, Hongzhi Wang, Donghua Yang, Yida Liu

Proceedings of the Database Systems for Advanced Applications, 2023

SNN-AAD: Active Anomaly Detection Method for Multivariate Time Series with Sparse Neural Network.

Xiaoou Ding, Yida Liu, Hongzhi Wang, Donghua Yang, Yichen Song

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Leveraging Currency for Repairing Inconsistent and Incomplete Data.

Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Muxian Wang, Jianzhong Li, Hong Gao

IEEE Trans. Knowl. Data Eng., 2022

IoT data cleaning techniques: A survey.

Xiaoou Ding, Hongzhi Wang, Genglong Li, Haoxuan Li, Yingze Li, Yida Liu

Intell. Converged Networks, 2022

2021

Industrial time series determinative anomaly detection based on constraint hypergraph.

Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu

Knowl. Based Syst., 2021

Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data.

Xiaoou Ding, Hongzhi Wang, Chen Wang, Zijue Li, Zheng Liang

CoRR, 2021

Leveraging Currency for Repairing Inconsistent and Incomplete Data (Extended Abstract).

Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Muxian Wang, Jianzhong Li, Hong Gao

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Misplaced Subsequences Repairing with Application to Multivariate Industrial Time Series Data.

Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Chen Wang

CoRR, 2020

An Effective Constraint-Based Anomaly Detection Approach on Multivariate Time Series.

Zijue Li, Xiaoou Ding, Hongzhi Wang

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

Cleanits: A Data Cleaning System for Industrial Time Series.

Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Zijue Li, Jianzhong Li, Hong Gao

Proc. VLDB Endow., 2019

社交网络中同一用户的识别 (Identification of Same User in Social Networks).

Zheng Zhang, Hongzhi Wang, Xiaoou Ding, Jianzhong Li, Hong Gao

计算机科学, 2019

Rule-Based Entity Resolution on Database with Hidden Temporal Information (Extended Abstract).

Hongzhi Wang, Xiaoou Ding, Jianzhong Li, Hong Gao

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

2018

Rule-Based Entity Resolution on Database with Hidden Temporal Information.

Hongzhi Wang, Xiaoou Ding, Jianzhong Li, Hong Gao

IEEE Trans. Knowl. Data Eng., 2018

On the Fairness of Quality-based Data Markets.

Dan Zhang, Hongzhi Wang, Xiaoou Ding, Yice Zhang, Jianzhong Li, Hong Gao

CoRR, 2018

Improve3C: Data Cleaning on Consistency and Completeness with Currency.

Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Jianzhong Li, Hong Gao

CoRR, 2018

MobiDis: Relationship Discovery of Mobile Users from Spatial-Temporal Trajectories.

Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Aoran Xie, Jianzhong Li, Hong Gao

Proceedings of the Advances in Conceptual Modeling, 2018

Multiple Data Quality Evaluation and Data Cleaning on Imprecise Temporal Data.

Xiaoou Ding

Proceedings of the Advances in Conceptual Modeling, 2018

2017

CleanCloud: Cleaning Big Data on Cloud.

Hongzhi Wang, Xiaoou Ding, Xiangying Chen, Jianzhong Li, Hong Gao

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Determining the currency of dynamic data.

Xiaoou Ding, Hongzhi Wang, Yitong Gao, Jianzhong Li, Hong Gao

Proceedings of the ACM Turing 50th Celebration Conference, 2017

2015

A Fair Data Market System with Data Quality Evaluation and Repairing Recommendation.

Xiaoou Ding, Hongzhi Wang, Dan Zhang, Jianzhong Li, Hong Gao

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015