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Xiaoou Ding
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2020 – today
- 2026
[j18]Shuangshuang Cui
, Hongzhi Wang
, Jinghan Lin, Xiaoou Ding, Donghua Yang
:
${\sf FinePar}$FinePar: A Fine-Grained Data Partitioning Framework for Cloud-Edge-Device Architectures. IEEE Trans. Knowl. Data Eng. 38(4): 2262-2276 (2026)- 2025
[j17]Xiaoou Ding, Genglong Li, Yafeng Tang, Chen Liang, Tianren Yu, Muyun Zhou, Yida Liu, Zekai Qian, Zixuan Song, Hongzhi Wang:
A Survey on Data Asset Value Change Estimation and Appreciation with Data Governance. Big Data Min. Anal. 8(6): 1369-1387 (2025)
[j16]Xiaoou Ding, Zekai Qian, Hongzhi Wang, Siying Chen, Yafeng Tang, Hongbin Su, Huan Hu, Chen Wang:
UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow. Proc. VLDB Endow. 18(11): 4117-4130 (2025)
[j15]Sonia Bergamaschi, Sourav S. Bhowmick, Philippe Bonnet, Surajit Chaudhuri, Xiaoou Ding, Hakan Ferhatosmanoglu, Raul Castro Fernandez, Jana Giceva, Madelon Hulsebos, Alexandra Meliou, Nikos Ntarmos, Themis Palpanas, John Paparrizos, Norman Paton, Subhadeep Sarkar, Giovanni Simonini, Nesime Tatbul, Jiuqi Wei, Jingren Zhou:
Front Matter. Proc. VLDB Endow. 18(12) (2025)
[j14]Zekai Qian, Xiaoou Ding, Chen Wang, Hongzhi Wang:
DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity. Proc. VLDB Endow. 18(12): 5339-5342 (2025)
[j13]Xiaoou Ding, Yanshuo Liu, Zhounan Chen, Hongzhi Wang, Chen Wang, Jianmin Wang:
TARImpute: Task-Aware Auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies. Proc. VLDB Endow. 18(12): 5343-5346 (2025)
[j12]Xiaoou Ding, Themis Palpanas, Subhadeep Sarkar, Giovanni Simonini, Nesime Tatbul:
Front Matter. Proc. VLDB Endow. 18(13) (2025)
[j11]Xiaoou Ding, Muyun Zhou, Yida Liu, Chen Wang, Hongzhi Wang, Jianmin Wang:
Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data. Proc. VLDB Endow. 18(13): 5676-5688 (2025)
[c21]Yafeng Tang, Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu, Huan Hu:
Description-Similarity Rules: Towards Flexible Feature Engineering for Entity Matching. ICDE 2025: 1-15
[c20]Xiaoou Ding, Cong Peng, Muyun Zhou, Hongzhi Wang, Zhongyi Pei, Chen Wang, Jianmin Wang:
Impute4TSC: Evaluating Missing Value Imputation Methods for Time Series Classification. ICDEW 2025: 127-135
[c19]Shuangshuang Cui, Hongzhi Wang, Xianglong Liu, Xiaoou Ding:
TempSched: A Temperature-Aware Storage Scheduler for Time Series Across Cloud-Edge-Device. ICDE 2025: 946-958
[c18]Zheng Liang, Hongzhi Wang, Xiaoou Ding, Zhiyu Liang, Chen Liang, Yafeng Tang, Jianzhong Qi
:
Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling. ICDE 2025: 2281-2294
[c17]Xiaoou Ding, Muyun Zhou, Yida Liu, Zekai Qian, Chen Wang, Hongzhi Wang, Jianmin Wang:
$t$DCDiscover: Mining Threshold Denial Constraints from Time Series Data. ICDE 2025: 2562-2574
[c16]Xiaoou Ding, Zekai Qian, Hongzhi Wang, Zhe Sun, Siying Chen, Hongbin Su, Huan Hu:
UniClean: A Multi-Signal Fusion Pipeline for Optimizing Data Cleaning Workflow. ICDE 2025: 4600-4603
[c15]Xiaoou Ding, Hongbin Su, Zekai Qian, Wenxuan Cui, Siying Chen, Zheng Liang, Chen Wang, Hongzhi Wang:
CBAClean:A Comprehensive System for Recommending Data Cleaning Solutions Through Cost-Benefit Analysis in Data Quality Management. ICDE 2025: 4636-4639
[i6]Yafeng Tang, Xiaoou Ding, Jianzhuo Du, Zishuo Yan, Zhuang Ma, Zheng Liang, Zekai Qian, Hongzhi Wang:
Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs. CoRR abs/2512.21915 (2025)- 2024
[j10]Xiaoou Ding, Yixing Lu, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang:
DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data. Proc. VLDB Endow. 17(11): 3484-3496 (2024)
[j9]Xiaoou Ding, Yichen Song, Hongzhi Wang, Donghua Yang, Chen Wang, Jianmin Wang:
Clean4TSDB: A Data Cleaning Tool for Time Series Databases. Proc. VLDB Endow. 17(12): 4377-4380 (2024)
[j8]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:
Front Matter. Proc. VLDB Endow. 17(12) (2024)
[j7]Xiaoou Ding, Yichen Song, Hongzhi Wang, Chen Wang, Donghua Yang:
MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data. Proc. VLDB Endow. 17(13): 4840-4852 (2024)
[c14]Siying Chen, Xiaoou Ding, Zheng Liang, Yafeng Tang, Hongzhi Wang:
Hyper-parameter Recommendation for Truth Discovery. DASFAA (3) 2024: 277-292
[c13]Xiaoou Ding
, Yida Liu, Hongzhi Wang, Chen Wang, Yichen Song, Donghua Yang, Jianmin Wang:
Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover. ICDE 2024: 3519-3531
[c12]Xiaoou Ding, Yingze Li, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang:
TSDDISCOVER: Discovering Data Dependency for Time Series Data. ICDE 2024: 3668-3681
[c11]Xiaoou Ding, Genglong Li, Hongzhi Wang, Chen Wang, Yichen Song:
Time Series Data Cleaning Under Expressive Constraints on Both Rows and Columns. ICDE 2024: 3682-3695- 2023
[c10]Xiaoou Ding, Yida Liu, Hongzhi Wang, Donghua Yang, Yichen Song:
SNN-AAD: Active Anomaly Detection Method for Multivariate Time Series with Sparse Neural Network. DASFAA (1) 2023: 253-269
[c9]Xiaoou Ding
, Yichen Song, Hongzhi Wang
, Donghua Yang, Yida Liu:
Cleanits-MEDetect: Multiple Errors Detection for Time Series Data in Cleanits. DASFAA (4) 2023: 674-678
[i5]Shuangshuang Cui, Hongzhi Wang, Xianglong Liu, Zeyu Tian, Xiaoou Ding:
TS-Cabinet: Hierarchical Storage for Cloud-Edge-End Time-series Database. CoRR abs/2302.12976 (2023)- 2022
[j6]Xiaoou Ding, Hongzhi Wang, Genglong Li, Haoxuan Li, Yingze Li, Yida Liu:
IoT data cleaning techniques: A survey. Intell. Converged Networks 3(4): 325-339 (2022)
[j5]Xiaoou Ding
, Hongzhi Wang
, Jiaxuan Su, Muxian Wang, Jianzhong Li
, Hong Gao
:
Leveraging Currency for Repairing Inconsistent and Incomplete Data. IEEE Trans. Knowl. Data Eng. 34(3): 1288-1302 (2022)- 2021
[j4]Zheng Liang
, Hongzhi Wang
, Xiaoou Ding, Tianyu Mu
:
Industrial time series determinative anomaly detection based on constraint hypergraph. Knowl. Based Syst. 233: 107548 (2021)
[c8]Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Muxian Wang, Jianzhong Li, Hong Gao:
Leveraging Currency for Repairing Inconsistent and Incomplete Data (Extended Abstract). ICDE 2021: 2315-2316
[i4]Xiaoou Ding, Hongzhi Wang, Chen Wang, Zijue Li, Zheng Liang:
Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data. CoRR abs/2101.01363 (2021)- 2020
[c7]Zijue Li, Xiaoou Ding, Hongzhi Wang:
An Effective Constraint-Based Anomaly Detection Approach on Multivariate Time Series. APWeb/WAIM (2) 2020: 61-69
[i3]Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Chen Wang:
Misplaced Subsequences Repairing with Application to Multivariate Industrial Time Series Data. CoRR abs/2012.14555 (2020)
2010 – 2019
- 2019
[j3]Zheng Zhang, Hongzhi Wang, Xiaoou Ding, Jianzhong Li, Hong Gao:
社交网络中同一用户的识别 (Identification of Same User in Social Networks). 计算机科学 46(9): 93-98 (2019)
[j2]Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Zijue Li, Jianzhong Li, Hong Gao:
Cleanits: A Data Cleaning System for Industrial Time Series. Proc. VLDB Endow. 12(12): 1786-1789 (2019)
[c6]Hongzhi Wang, Xiaoou Ding, Jianzhong Li, Hong Gao:
Rule-Based Entity Resolution on Database with Hidden Temporal Information (Extended Abstract). ICDE 2019: 2143-2144- 2018
[j1]Hongzhi Wang
, Xiaoou Ding
, Jianzhong Li, Hong Gao:
Rule-Based Entity Resolution on Database with Hidden Temporal Information. IEEE Trans. Knowl. Data Eng. 30(11): 2199-2212 (2018)
[c5]Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Aoran Xie, Jianzhong Li, Hong Gao:
MobiDis: Relationship Discovery of Mobile Users from Spatial-Temporal Trajectories. ER Workshops 2018: 12-16
[c4]Xiaoou Ding:
Multiple Data Quality Evaluation and Data Cleaning on Imprecise Temporal Data. ER Workshops 2018: 69-75
[i2]Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Jianzhong Li, Hong Gao:
Improve3C: Data Cleaning on Consistency and Completeness with Currency. CoRR abs/1808.00024 (2018)
[i1]Dan Zhang, Hongzhi Wang, Xiaoou Ding, Yice Zhang, Jianzhong Li, Hong Gao:
On the Fairness of Quality-based Data Markets. CoRR abs/1808.01624 (2018)- 2017
[c3]Xiaoou Ding, Hongzhi Wang
, Yitong Gao, Jianzhong Li, Hong Gao:
Determining the currency of dynamic data. ACM TUR-C 2017: 17:1-17:6
[c2]Hongzhi Wang
, Xiaoou Ding, Xiangying Chen, Jianzhong Li, Hong Gao:
CleanCloud: Cleaning Big Data on Cloud. CIKM 2017: 2543-2546- 2015
[c1]Xiaoou Ding, Hongzhi Wang
, Dan Zhang, Jianzhong Li, Hong Gao:
A Fair Data Market System with Data Quality Evaluation and Repairing Recommendation. APWeb 2015: 855-858
Coauthor Index

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last updated on 2026-03-30 00:11 CEST by the dblp team
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