宋韶旭｜清华大学｜学者主页

2026

Retrieval-Augmented Generation with Covariate Time Series

Kenny Ye Liang, Zhongyi Pei, Huan Zhang, Yuhui Liu, Shaoxu Song, Jianmin Wang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series

Tianrui Xia, Jinzhao Xiao, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2026

Sorting Compressed Time Series

Zhiheng Liu, Xingyu Liu, Shaoxu Song, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2026

Deferred Flushing for Out-of-Order Arrivals in Apache IoTDB

Xiaojian Zhang, Zhiheng Liu, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2026

When Complex Event Recognition Meets Cloud-Native Architectures

Shizhe Liu, Haipeng Dai, Meng Li, Yuemeng Zhang, Shaoxu Song, Zhifeng Bao, Hancheng Wang, Xiaofeng Gao, Guihai Chen

Proceedings - International Conference on Data Engineering

DOI

2026

Truth $\neq$ Frequency: Leveraging Dependencies for Subset Repair

Haoda Li, Jiahui Chen, Yu Sun, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan

Proceedings - International Conference on Data Engineering

DOI

2026

Improving LZ4 for Effective Compression and Efficient Query

Zhiheng Liu, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2026

Quantile Estimation with Duplicates

Tianrui Xia, Ziling Chen, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2026

Accelerating Complex Event Recognition via Range Bitmap-Based Indexes With Window-Wise Filtering

Shizhe Liu, Haotian Dai, Shaoxu Song, Meng Li, Yong Zhang, Hancheng Wang, Du Zhang, Rong Gu, Guihai Chen

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

LSM-Raft: Optimizing Raft for LSM-tree Store

Xiaojian Zhang, Xinyu Tan, Shaoxu Song, Xiangdong Huang, Jianmin Wang

Proceedings of the ACM on Management of Data

DOI

2025

Cleaning Time Series under Seasonal and Trend Constraints

Zijie Chen, Aoqian Zhang, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2025

From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies

Weiwei Deng, Yu Sun, Shaoxu Song, Xiaojie Yuan

Proceedings of the ACM on Management of Data

DOI

2025

Performance Evaluation of TimechoDB Using TPCx-IoT Benchmark

Xinhao Gu, Xinyu Tan, Jialin Qiao, Junzhi Peng, Steve Yurong Su, Pengcheng Zheng, Xiangdong Huang, Shaoxu Song, Jianmin Wang

Lecture notes in computer science

DOI

2025

The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series

Jingyu Zhu, Weiwei Deng, Yu Sun, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan

Proceedings of the ACM on Management of Data

DOI

2025

Collaborative Imputation for Multivariate Time Series with Convergence Guarantee

Yu Ming Sun, Xinyu Yang, Shaoxu Song, Ying Zhang, Xiaojie Yuan

Proceedings - International Conference on Data Engineering

DOI

2025

OneRoundSTL: In-Database Seasonal-Trend Decomposition

Zijie Chen, Shaoxu Song, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2025

Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data

Rui Kang, Shaoxu Song, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2025

BOS: Bit-Packing with Outlier Separation

Jinzhao Xiao, Zihan Guo, Shaoxu Song

Proceedings - International Conference on Data Engineering

DOI

2025

Apache IoTDB: A Time Series Database for Large Scale IoT Applications

Chen Wang, Jialin Qiao, Xiangdong Huang, Shaoxu Song, Haonan Hou, Tian Jiang, Lei Rui, Jianmin Wang, Jiaguang Sun

ACM Transactions on Database Systems

DOI

2025

In-Database Time Series Clustering

Yunxiang Su, Kenny Ye Liang, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2025

Randomized Sketches for Quantile in LSM-tree based Store

Ziling Chen, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2025

Largest Triangle Sampling for Visualizing Time Series in Database

Lei Rui, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Zhao Cao

Proceedings of the ACM on Management of Data

DOI

2025

Migration-Free Elastic Storage of Time Series in Apache IoTDB

Rongzhao Chen, X. Hu, Xiangdong Huang, Chen Wang, Shaoxu Song, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2025

Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation

Xinyu Yang, Yu Feng Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen

Lecture notes in computer science

DOI

2025

Turn Waste Into Wealth: On Efficient Clustering and Cleaning Over Dirty Data

Kenny Ye Liang, Yunxiang Su, Shaoxu Song, Chunping Li

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes

Shizhe Liu, Haipeng Dai, Shaoxu Song, Meng Li, Jingsong Dai, Rong Gu, Guihai Chen

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

Apache TsFile: An IoT-Native Time Series File Format

Xin Zhao, Jialin Qiao, Xiangdong Huang, Chen Wang, Shaoxu Song, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2024

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB

Chenguang Fang, Zijie Chen, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2024

Distance-Based Outlier Query Optimization in Apache IoTDB

Yunxiang Su, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2024

Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data

Yu Sun, Jingyu Zhu, Xiao Xu, Xian Xu, Yuyao Sun, Shaoxu Song, Xiang Robert Li, Xiaojie Yuan

Proceedings of the VLDB Endowment

DOI

2024

Optimizing Time Series Queries with Versions

Rui Kang, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2024

High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors

Jingyu Zhu, Yu Sun, Shaoxu Song, Xiaojie Yuan

Proceedings of the ACM on Management of Data

DOI

2024

On Tuning Raft for IoT Workload in Apache IoTDB

Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2024

REGER: Reordering Time Series Data for Regression Encoding

Jinzhao Xiao, Wendi He, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2024

Time Series Representation for Visualization in Apache IoTDB

Lei Rui, Xiangdong Huang, Shaoxu Song, Yuyuan Kang, Chen Wang, Jianmin Wang

Proceedings of the ACM on Management of Data

DOI

2024

Determining Exact Quantiles with Randomized Summaries

Ziling Chen, Haoquan Guan, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings of the ACM on Management of Data

DOI

2024

Time series data encoding in Apache IoTDB: comparative analysis and recommendation

Tianrui Xia, Jinzhao Xiao, Yuxiang Huang, Changyu Hu, Shaoxu Song, Xiangdong Huang, Jianmin Wang

The VLDB Journal

DOI

2024

Multimodal Data Encoding and Compression in Apache IoTDB

Wendi He, Tianrui Xia, Shaoxu Song, Xiangdong Huang, Jianmin Wang

International Journal of Software and Informatics

DOI

2023

Learning Autoregressive Model in LSM-Tree based Store

Yunxiang Su, Wenxuan Ma, Shaoxu Song

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2023

TsQuality: Measuring Time Series Data Quality in Apache IoTDB

Yuanhui Qiu, Chenguang Fang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2023

CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space

Haoquan Guan, Ziling Chen, Shaoxu Song

Proceedings of the VLDB Endowment

DOI

2023

Apache IoTDB: A Time Series Database for IoT Applications

Chen Wang, Jialin Qiao, Xiangdong Huang, Shaoxu Song, Haonan Hou, Tian Jiang, Lei Rui, Jianmin Wang, Jiaguang Sun

Proceedings of the ACM on Management of Data

DOI

2023

Time Series Data Validity

Yunxiang Su, Yikun Gong, Shaoxu Song

Proceedings of the ACM on Management of Data

DOI

2023

Grouping Time Series for Efficient Columnar Storage

Chenguang Fang, Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings of the ACM on Management of Data

DOI

2023

Non-Blocking Raft for High Throughput IoT Data

Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Ruibo Li, Jincheng Sun

Proceedings - International Conference on Data Engineering

DOI

2023

Backward-Sort for Time Series in Apache IoTDB

Zhenjie Zhang, Hongyin Zhang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2023

Discovering Editing Rules by Deep Reinforcement Learning

Yinan Mei, Shaoxu Song, Chenguang Fang, Ziheng Wei, Jingyun Fang, Jiang Long

Proceedings - International Conference on Data Engineering

DOI

2023

From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair

Yu Sun, Shaoxu Song, Xiaojie Yuan

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Efficiently Cleaning Structured Event Logs: A Graph Repair Approach

Ruihong Huang, Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei

ACM Transactions on Database Systems

DOI

2022

Frequency domain data encoding in apache IoTDB

Haoyu Wang, Shaoxu Song

Proceedings of the VLDB Endowment

DOI

2022

On Aligning Tuples for Regression

Chenguang Fang, Shaoxu Song, Yinan Mei, Ye Yuan, Jianmin Wang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2022

Time series data encoding for efficient storage

Jinzhao Xiao, Yuxiang Huang, Changyu Hu, Shaoxu Song, Xiangdong Huang, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2022

On repairing timestamps for regular interval time series

Chenguang Fang, Shaoxu Song, Yinan Mei

Proceedings of the VLDB Endowment

DOI

2022

Conditional Regression Rules

Rui Kang, Shaoxu Song, Chaokun Wang

Proceedings - International Conference on Data Engineering

DOI

2021

Stream Data Cleaning under Speed and Acceleration Constraints

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

ACM Transactions on Database Systems

DOI

2021

Approximating median absolute deviation with bounded error

Zhiwei Chen, Shaoxu Song, Ziheng Wei, Jingyun Fang, Jiang Long

Proceedings of the VLDB Endowment

DOI

2021

Why Not Match: On Explanations of Event Pattern Queries

Shaoxu Song, Ruihong Huang, Yu Gao, Jianmin Wang

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2021

On Saving Outliers for Better Clustering over Noisy Data

Shaoxu Song, Fei Gao, Ruihong Huang, Yihan Wang

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2021

EXPERIENCE: Algorithms and Case Study for Explaining Repairs with Uniform Profiles over IoT Data

Zhicheng Liu, Yang Zhang, Ruihong Huang, Zhiwei Chen, Shaoxu Song, Jianmin Wang

Journal of Data and Information Quality

DOI

2021

From Minimum Change to Maximum Density: On S-Repair under Integrity Constraints

Yu Sun, Shaoxu Song

Proceedings - International Conference on Data Engineering

DOI

2021

Cleaning timestamps with temporal constraints

Shaoxu Song, Ruihong Huang, Yue Cao, Jianmin Wang

The VLDB Journal

DOI

2021

Time Series Data Cleaning under Multi-Speed Constraints

Fei Gao, Shaoxu Song, Jianmin Wang

International Journal of Software and Informatics

DOI

2020

IoT Data Quality

Shaoxu Song, Aoqian Zhang

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2020

Imputing Various Incomplete Attributes via Distance Likelihood Maximization

Shaoxu Song, Yu Sun

ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)

DOI

2020

Representing Temporal Attributes for Schema Matching

Yinan Mei, Shaoxu Song, Yunsu Lee, Jung‐Ho Park, Soo-Hyung Kim, Sungmin Yi

ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)

DOI

2019

Learning Individual Models for Imputation

Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang

Proceedings - International Conference on Data Engineering

DOI

2019

TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data

Ruihong Huang, Zhiwei Chen, Zhicheng Liu, Shaoxu Song, Jianmin Wang

IEEE International Conference on Big Data (BigData)

DOI

2018

Enriching Data Imputation under Similarity Rule Constraints

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

IEEE Transactions on Knowledge and Data Engineering

DOI

2017

Discovering Conditional Matching Rules

Yihan Wang, Shaoxu Song, Lei Chen, Jeffrey Xu Yu, Hong Cheng

ACM Transactions on Knowledge Discovery from Data

DOI

2017

Time series data cleaning

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

Proceedings of the VLDB Endowment

DOI

2017

Graph repairing under neighborhood constraints

Shaoxu Song, Boge Liu, Hong Cheng, Jeffrey Xu Yu, Lei Chen

The VLDB Journal

DOI

2017

Matching Heterogeneous Events with Patterns

Shaoxu Song, Yu Gao, Chaokun Wang, Xiaochen Zhu, Jianmin Wang, Philip S. Yu

IEEE Transactions on Knowledge and Data Engineering

DOI

2017

Response to “Differential Dependencies Revisited”

Shaoxu Song, Lei Chen

ACM Transactions on Database Systems

DOI

2016

A Survey on Accessing Dataspaces

Yihan Wang, Shaoxu Song, Lei Chen

ACM SIGMOD Record

DOI

2016

Efficient Recovery of Missing Events

Jianmin Wang, Shaoxu Song, Xiaochen Zhu, Xuemin Lin, Jiaguang Sun

IEEE Transactions on Knowledge and Data Engineering

DOI

2016

Efficient Set-Correlation Operator Inside Databases

Fei Gao, Shaoxu Song, Lei Chen, Jianmin Wang

Journal of Computer Science and Technology

DOI

2016

Sequential Data Cleaning

Aoqian Zhang, Shaoxu Song, Jianmin Wang

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2016

Constraint-Variance Tolerant Data Repairing

Shaoxu Song, Han Zhu, Jianmin Wang

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2016

Cleaning timestamps with temporal constraints

Shaoxu Song, Yue Cao, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2015

Turn Waste into Wealth

Shaoxu Song, Chunping Li, Xiaoquan Zhang

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2015

Enriching data imputation with extensive similarity neighbors

Shaoxu Song, Aoqian Zhang, Lei Chen, Jianmin Wang

Proceedings of the VLDB Endowment

DOI

2015

SCREEN

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

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2015

Cleaning structured event logs: A graph repair approach

Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei

Proceedings - International Conference on Data Engineering

DOI

2014

On concise set of relative candidate keys

Shaoxu Song, Lei Chen, Hong Cheng

Proceedings of the VLDB Endowment

DOI

2014

Repairing vertex labels under neighborhood constraints

Shaoxu Song, Hong Cheng, Jeffrey Xu Yu, Lei Chen

Proceedings of the VLDB Endowment

DOI

2014

Matching heterogeneous event data

Xiaochen Zhu, Shaoxu Song, Xiang Lian, Jianmin Wang, Lei Zou

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2014

Matching heterogeneous events with patterns

Xiaochen Zhu, Shaoxu Song, Jianmin Wang, Philip S. Yu, Jiaguang Sun

Proceedings - International Conference on Data Engineering

DOI

2013

基于数据质量规则的缺失结果解释约减

张奥千，宋韶旭，王建民

《计算机研究与发展》

2013

Efficient recovery of missing events

Jianmin Wang, Shaoxu Song, Xiaochen Zhu, Xuemin Lin

Proceedings of the VLDB Endowment

DOI

2013

Efficient discovery of similarity constraints for matching dependencies

Shaoxu Song, Lei Chen

Data & Knowledge Engineering

DOI

2013

Efficient Determination of Distance Thresholds for Differential Dependencies

Shaoxu Song, Lei Chen, Hong Cheng

IEEE Transactions on Knowledge and Data Engineering

DOI

2012

Comparable dependencies over heterogeneous data

Shaoxu Song, Lei Chen, Philip S. Yu

The VLDB Journal

DOI

2012

Indexing dataspaces with partitions

Shaoxu Song, Lei Chen

World Wide Web

DOI

2012

Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints

Shaoxu Song, Lei Chen, Hong Cheng

Proceedings - International Conference on Data Engineering

DOI

2006

基于语义关联的文本聚类方法

宋韶旭

《清华大学》

2006

基于非对称相似度的文本聚类方法

宋韶旭，李春平

《清华大学学报(自然科学版)》

精选作品

期刊论文

Retrieval-Augmented Generation with Covariate Time Series

FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series

Sorting Compressed Time Series

Deferred Flushing for Out-of-Order Arrivals in Apache IoTDB

When Complex Event Recognition Meets Cloud-Native Architectures

Truth $\neq$ Frequency: Leveraging Dependencies for Subset Repair

Improving LZ4 for Effective Compression and Efficient Query

Quantile Estimation with Duplicates

Accelerating Complex Event Recognition via Range Bitmap-Based Indexes With Window-Wise Filtering

LSM-Raft: Optimizing Raft for LSM-tree Store

Cleaning Time Series under Seasonal and Trend Constraints

From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies

Performance Evaluation of TimechoDB Using TPCx-IoT Benchmark

The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series

Collaborative Imputation for Multivariate Time Series with Convergence Guarantee

OneRoundSTL: In-Database Seasonal-Trend Decomposition

Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data

BOS: Bit-Packing with Outlier Separation

Apache IoTDB: A Time Series Database for Large Scale IoT Applications

In-Database Time Series Clustering

Randomized Sketches for Quantile in LSM-tree based Store

Largest Triangle Sampling for Visualizing Time Series in Database

Migration-Free Elastic Storage of Time Series in Apache IoTDB

Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation

Turn Waste Into Wealth: On Efficient Clustering and Cleaning Over Dirty Data

ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes

Apache TsFile: An IoT-Native Time Series File Format

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB

Distance-Based Outlier Query Optimization in Apache IoTDB

Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data

Optimizing Time Series Queries with Versions

High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors

On Tuning Raft for IoT Workload in Apache IoTDB

REGER: Reordering Time Series Data for Regression Encoding

Time Series Representation for Visualization in Apache IoTDB

Determining Exact Quantiles with Randomized Summaries

Time series data encoding in Apache IoTDB: comparative analysis and recommendation

Multimodal Data Encoding and Compression in Apache IoTDB

Learning Autoregressive Model in LSM-Tree based Store

TsQuality: Measuring Time Series Data Quality in Apache IoTDB

CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space

Apache IoTDB: A Time Series Database for IoT Applications

Time Series Data Validity

Grouping Time Series for Efficient Columnar Storage

Non-Blocking Raft for High Throughput IoT Data

Backward-Sort for Time Series in Apache IoTDB

Discovering Editing Rules by Deep Reinforcement Learning

From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair

Efficiently Cleaning Structured Event Logs: A Graph Repair Approach

Frequency domain data encoding in apache IoTDB

On Aligning Tuples for Regression

Time series data encoding for efficient storage

On repairing timestamps for regular interval time series

Conditional Regression Rules

Stream Data Cleaning under Speed and Acceleration Constraints

Approximating median absolute deviation with bounded error

Why Not Match: On Explanations of Event Pattern Queries

On Saving Outliers for Better Clustering over Noisy Data

EXPERIENCE: Algorithms and Case Study for Explaining Repairs with Uniform Profiles over IoT Data

From Minimum Change to Maximum Density: On S-Repair under Integrity Constraints

Cleaning timestamps with temporal constraints

Time Series Data Cleaning under Multi-Speed Constraints

IoT Data Quality

Imputing Various Incomplete Attributes via Distance Likelihood Maximization

Representing Temporal Attributes for Schema Matching

Learning Individual Models for Imputation

TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data

Enriching Data Imputation under Similarity Rule Constraints

Discovering Conditional Matching Rules

Time series data cleaning

Graph repairing under neighborhood constraints

Matching Heterogeneous Events with Patterns

Response to “Differential Dependencies Revisited”

A Survey on Accessing Dataspaces

Efficient Recovery of Missing Events

Efficient Set-Correlation Operator Inside Databases

Sequential Data Cleaning

Constraint-Variance Tolerant Data Repairing