Semantic Correlation Network Based Text Clustering. - Shaoxu Song; Chunping Li (Australian Conference on Artificial Intelligence, 2005)

Concept Chain Based Text Clustering. - Shaoxu Song; Jian Zhang; Chunping Li (CIS (1), 2005)

TCUAP: A Novel Approach of Text Clustering Using Asymmetric Proximity. - Shaoxu Song; Chunping Li (IICAI, 2005)

Improved ROCK for Text Clustering Using Asymmetric Proximity. - Shaoxu Song; Chunping Li (SOFSEM, 2006)

Probabilistic correlation-based similarity measure of unstructured records. - Shaoxu Song; Lei Chen 002 (CIKM, 2007)

Similarity Joins of Text with Incomplete Information Formats. - Shaoxu Song; Lei Chen 002 (DASFAA, 2007)

Discovering matching dependencies. - Shaoxu Song; Lei Chen 002 (CIKM, 2009)

Efficient set-correlation operator inside databases. - Shaoxu Song; Lei Chen 002 (CIKM, 2010)

Consistent query answers in inconsistent probabilistic databases. - Xiang Lian 001; Lei Chen 002; Shaoxu Song (SIGMOD Conference, 2010)

On data dependencies in dataspaces. - Shaoxu Song; Lei Chen 002; Philip S. Yu (ICDE, 2011)

Answering Frequent Probabilistic Inference Queries in Databases. - Shaoxu Song; Lei Chen 002; Jeffrey Xu Yu (IEEE Trans. Knowl. Data Eng., 2011)

Materialization and Decomposition of Dataspaces for Efficient Search. - Shaoxu Song; Lei Chen 002; Mingxuan Yuan (IEEE Trans. Knowl. Data Eng., 2011)

Differential dependencies: Reasoning and discovery. - Shaoxu Song; Lei Chen 002 (ACM Trans. Database Syst., 2011)

Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints. - Shaoxu Song; Lei Chen 002; Hong Cheng 001 (ICDE, 2012)

Context-aware reasoning middle ware applied in the mobile environment. - Jian Wu; Chunping Li; Yishu Miao; Shaoxu Song; Li Li 102; Qiang Ding (ICMLC, 2013)

Efficient discovery of similarity constraints for matching dependencies. - Shaoxu Song; Lei Chen 002 (Data Knowl. Eng., 2013)

Efficient Recovery of Missing Events. - Jianmin Wang 001; Shaoxu Song; Xiaochen Zhu 001; Xuemin Lin 001 (Proc. VLDB Endow., 2013)

Comparable dependencies over heterogeneous data. - Shaoxu Song; Lei Chen 002; Philip S. Yu (VLDB J., 2013)

Indexing dataspaces with partitions. - Shaoxu Song; Lei Chen 002 (World Wide Web, 2013)

Matching heterogeneous events with patterns. - Xiaochen Zhu 001; Shaoxu Song; Jianmin Wang 001; Philip S. Yu; Jiaguang Sun 001 (ICDE, 2014)

Matching heterogeneous event data. - Xiaochen Zhu 001; Shaoxu Song; Xiang Lian 001; Jianmin Wang 001; Lei Zou 001 (SIGMOD Conference, 2014)

Probabilistic correlation-based similarity measure on text records. - Shaoxu Song; Han Zhu 007; Lei Chen 002 (Inf. Sci., 2014)

On Concise Set of Relative Candidate Keys. - Shaoxu Song; Lei Chen 002; Hong Cheng 001 (Proc. VLDB Endow., 2014)

Repairing Vertex Labels under Neighborhood Constraints. - Shaoxu Song; Hong Cheng 001; Jeffrey Xu Yu; Lei Chen 002 (Proc. VLDB Endow., 2014)

Efficient Determination of Distance Thresholds for Differential Dependencies. - Shaoxu Song; Lei Chen 002; Hong Cheng 001 (IEEE Trans. Knowl. Data Eng., 2014)

Cleaning structured event logs: A graph repair approach. - Jianmin Wang 001; Shaoxu Song; Xuemin Lin 001; Xiaochen Zhu 001; Jian Pei 001 (ICDE, 2015)

Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data. - Shaoxu Song; Chunping Li; Xiaoquan Zhang (KDD, 2015)

SCREEN: Stream Data Cleaning under Speed Constraints. - Shaoxu Song; Aoqian Zhang; Jianmin Wang 001; Philip S. Yu (SIGMOD Conference, 2015)

How to Build Templates for RDF Question/Answering: An Uncertain Graph Similarity Join Approach. - Weiguo Zheng; Lei Zou 001; Xiang Lian 001; Jeffrey Xu Yu; Shaoxu Song; Dongyan Zhao 001 (SIGMOD Conference, 2015)

Optimizing data partition for scaling out NoSQL cluster. - Xiangdong Huang 001; Jianmin Wang 001; Yu Zhong; Shaoxu Song; Philip S. Yu (Concurr. Comput. Pract. Exp., 2015)

Enriching Data Imputation with Extensive Similarity Neighbors. - Shaoxu Song; Aoqian Zhang; Lei Chen 002; Jianmin Wang 001 (Proc. VLDB Endow., 2015)

Constraint-Variance Tolerant Data Repairing. - Shaoxu Song; Han Zhu 007; Jianmin Wang 001 (SIGMOD Conference, 2016)

Sequential Data Cleaning: A Statistical Approach. - Aoqian Zhang; Shaoxu Song; Jianmin Wang 001 (SIGMOD Conference, 2016)

Efficient Set-Correlation Operator Inside Databases. - Fei Gao; Shaoxu Song; Lei Chen 002; Jianmin Wang 001 (J. Comput. Sci. Technol., 2016)

Cleaning Timestamps with Temporal Constraints. - Shaoxu Song; Yue Cao 001; Jianmin Wang 001 (Proc. VLDB Endow., 2016)

Semantic SPARQL Similarity Search Over RDF Knowledge Graphs. - Weiguo Zheng; Lei Zou 001; Wei Peng 013; Xifeng Yan; Shaoxu Song; Dongyan Zhao 001 (Proc. VLDB Endow., 2016)

A Survey on Accessing Dataspaces. - Yihan Wang; Shaoxu Song; Lei Chen 002 (SIGMOD Rec., 2016)

Efficient Recovery of Missing Events. - Jianmin Wang 001; Shaoxu Song; Xiaochen Zhu 001; Xuemin Lin 001; Jiaguang Sun 001 (IEEE Trans. Knowl. Data Eng., 2016)

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing. - Aoqian Zhang; Shaoxu Song; Jianmin Wang 001; Philip S. Yu (Proc. VLDB Endow., 2017)

Discovering Conditional Matching Rules. - Yihan Wang; Shaoxu Song; Lei Chen 002; Jeffrey Xu Yu; Hong Cheng 001 (ACM Trans. Knowl. Discov. Data, 2017)

Matching Heterogeneous Events with Patterns. - Shaoxu Song; Yu Gao; Chaokun Wang; Xiaochen Zhu 001; Jianmin Wang 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2017)

Response to "Differential Dependencies Revisited". - Shaoxu Song; Lei Chen 002 (ACM Trans. Database Syst., 2017)

Graph repairing under neighborhood constraints. - Shaoxu Song; Boge Liu; Hong Cheng 001; Jeffrey Xu Yu; Lei Chen 002 (VLDB J., 2017)

Matching Heterogeneous Event Data. - Yu Gao; Shaoxu Song; Xiaochen Zhu 001; Jianmin Wang 001; Xiang Lian 001; Lei Zou 001 (IEEE Trans. Knowl. Data Eng., 2018)

TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data. - Ruihong Huang; Zhiwei Chen; Zhicheng Liu; Shaoxu Song; Jianmin Wang 001 (IEEE BigData, 2019)

Fine-Grained Fuel Consumption Prediction. - Chenguang Fang; Shaoxu Song; Zhiwei Chen; Acan Gui (CIKM, 2019)

Learning Individual Models for Imputation. - Aoqian Zhang; Shaoxu Song; Yu Sun 027; Jianmin Wang 001 (ICDE, 2019)

A Public Domain Dataset for Human Activity Recognition in Free-Living Conditions. - Federico Cruciani; Chen Sun; Shuai Zhang 001; Chris D. Nugent; Chunping Li; Shaoxu Song; Cheng Cheng; Ian Cleland; Paul J. McCullagh (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

IoT Data Quality. - Shaoxu Song; Aoqian Zhang (CIKM, 2020)

Swapping Repair for Misplaced Attribute Values. - Yu Sun 027; Shaoxu Song; Chen Wang 018; Jianmin Wang 001 (ICDE, 2020)

Representing Temporal Attributes for Schema Matching. - Yinan Mei; Shaoxu Song; Yunsu Lee; Jungho Park; Soo-Hyung Kim; Sungmin Yi (KDD, 2020)

Imputing Various Incomplete Attributes via Distance Likelihood Maximization. - Shaoxu Song; Yu Sun 027 (KDD, 2020)

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report). - Aoqian Zhang; Shaoxu Song; Jianmin Wang 001; Philip S. Yu (CoRR, 2020)

Learning Individual Models for Imputation (Technical Report). - Aoqian Zhang; Shaoxu Song; Yu Sun 027; Jianmin Wang 001 (CoRR, 2020)

Editorial: Special Issue on Metadata Discovery for Assessing Data Quality. - Giuseppe Polese; Vincenzo Deufemia; Shaoxu Song (ACM J. Data Inf. Qual., 2020)

Effective and Efficient Retrieval of Structured Entities. - Ruihong Huang; Shaoxu Song; Yunsu Lee; Jungho Park; Soo-Hyung Kim; Sungmin Yi (Proc. VLDB Endow., 2020)

Enriching Data Imputation under Similarity Rule Constraints. - Shaoxu Song; Yu Sun 027; Aoqian Zhang; Lei Chen 002; Jianmin Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Capturing Semantics for Imputation with Pre-trained Language Models. - Yinan Mei; Shaoxu Song; Chenguang Fang; Haifeng Yang; Jingyun Fang; Jiang Long (ICDE, 2021)

From Minimum Change to Maximum Density: On S-Repair under Integrity Constraints. - Yu Sun 027; Shaoxu Song (ICDE, 2021)

FastSGG: Efficient Social Graph Generation Using a Degree Distribution Generation Model. - Chaokun Wang; Binbin Wang; Bingyang Huang; Shaoxu Song; Zai Li (ICDE, 2021)

On Saving Outliers for Better Clustering over Noisy Data. - Shaoxu Song; Fei Gao; Ruihong Huang; Yihan Wang (SIGMOD Conference, 2021)

Why Not Match: On Explanations of Event Pattern Queries. - Shaoxu Song; Ruihong Huang; Yu Gao; Jianmin Wang 001 (SIGMOD Conference, 2021)

Time Series Data Cleaning under Multi-Speed Constraints. - Fei Gao; Shaoxu Song; Jianmin Wang 001 (Int. J. Softw. Informatics, 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 001 (ACM J. Data Inf. Qual., 2021)

Approximating Median Absolute Deviation with Bounded Error. - Zhiwei Chen; Shaoxu Song; Ziheng Wei; Jingyun Fang; Jiang Long (Proc. VLDB Endow., 2021)

Stream Data Cleaning under Speed and Acceleration Constraints. - Shaoxu Song; Fei Gao; Aoqian Zhang; Jianmin Wang 001; Philip S. Yu (ACM Trans. Database Syst., 2021)

Cleaning timestamps with temporal constraints. - Shaoxu Song; Ruihong Huang; Yue Cao 001; Jianmin Wang 001 (VLDB J., 2021)

Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree. - Yuyuan Kang; Xiangdong Huang 001; Shaoxu Song; Lingzhe Zhang; Jialin Qiao; Chen Wang 018; Jianmin Wang 001; Julian Feinauer (ICDE, 2022)

Conditional Regression Rules. - Rui Kang; Shaoxu Song; Chaokun Wang (ICDE, 2022)

On Aligning Tuples for Regression. - Chenguang Fang; Shaoxu Song; Yinan Mei; Ye Yuan; Jianmin Wang 001 (KDD, 2022)

Confidence Bounded Replica Currency Estimation. - Yu Sun 027; Zheng Zheng 005; Shaoxu Song; Fei Chiang (SIGMOD Conference, 2022)

On Repairing Timestamps for Regular Interval Time Series. - Chenguang Fang; Shaoxu Song; Yinan Mei (Proc. VLDB Endow., 2022)

Frequency Domain Data Encoding in Apache IoTDB. - Haoyu Wang; Shaoxu Song (Proc. VLDB Endow., 2022)

Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB. - Jinzhao Xiao; Yuxiang Huang; Changyu Hu; Shaoxu Song; Xiangdong Huang 001; Jianmin Wang 001 (Proc. VLDB Endow., 2022)

Data Dependencies Extended for Variety and Veracity: A Family Tree. - Shaoxu Song; Fei Gao; Ruihong Huang; Chaokun Wang (IEEE Trans. Knowl. Data Eng., 2022)

Matrix Factorization with Landmarks for Spatial Data. - Chenguang Fang; Yinan Mei; Shaoxu Song (ICDE, 2023)

Non-Blocking Raft for High Throughput IoT Data. - Tian Jiang; Xiangdong Huang 001; Shaoxu Song; Chen Wang 018; Jianmin Wang 001; Ruibo Li; Jincheng Sun (ICDE, 2023)

Discovering Editing Rules by Deep Reinforcement Learning. - Yinan Mei; Shaoxu Song; Chenguang Fang; Ziheng Wei; Jingyun Fang; Jiang Long (ICDE, 2023)

Data Dependencies Extended for Variety and Veracity: A Family Tree (Extended abstract). - Shaoxu Song; Fei Gao; Ruihong Huang; Chaokun Wang (ICDE, 2023)

Backward-Sort for Time Series in Apache IoTDB. - Xiaojian Zhang; Hongyin Zhang; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (ICDE, 2023)

Learning Autoregressive Model in LSM-Tree based Store. - Yunxiang Su; Wenxuan Ma 003; Shaoxu Song (KDD, 2023)

Apache IoTDB: A Time Series Database for IoT Applications. - Chen Wang 018; Jialin Qiao; Xiangdong Huang 001; Shaoxu Song; Haonan Hou; Tian Jiang; Lei Rui; Jianmin Wang 001; Jiaguang Sun 001 (Proc. ACM Manag. Data, 2023)

Grouping Time Series for Efficient Columnar Storage. - Chenguang Fang; Shaoxu Song; Haoquan Guan; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. ACM Manag. Data, 2023)

Time Series Data Validity. - Yunxiang Su; Yikun Gong; Shaoxu Song (Proc. ACM Manag. Data, 2023)

CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space. - Haoquan Guan; Ziling Chen; Shaoxu Song (Proc. VLDB Endow., 2023)

TsQuality: Measuring Time Series Data Quality in Apache IoTDB. - Yuanhui Qiu; Chenguang Fang; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. VLDB Endow., 2023)

Efficiently Cleaning Structured Event Logs: A Graph Repair Approach. - Ruihong Huang; Jianmin Wang 001; Shaoxu Song; Xuemin Lin 001; Xiaochen Zhu 001; Jian Pei 001 (ACM Trans. Database Syst., 2023)

Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation. - Xinyu Yang; Yu Sun 027; Shaoxu Song; Xiaojie Yuan; Xinyang Chen 001 (DASFAA (2), 2024)

On Tuning Raft for IoT Workload in Apache IoTDB. - Tian Jiang; Xiangdong Huang 001; Shaoxu Song; Chen Wang 018; Jianmin Wang 001 (ICDE, 2024)

REGER: Reordering Time Series Data for Regression Encoding. - Jinzhao Xiao; Wendi He; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (ICDE, 2024)

ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes. - Shizhe Liu; Haipeng Dai 001; Shaoxu Song; Meng Li 010; Jingsong Dai; Rong Gu; Guihai Chen (KDD, 2024)

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 001 (TPCTC, 2024)

Time-tired compaction: An elastic compaction scheme for LSM-tree based time-series database. - Lingzhe Zhang; Xiang-Dong Huang 001; Yan-Kai Wang; Jialin Qiao; Shaoxu Song; Jianmin Wang 001 (Adv. Eng. Informatics, 2024)

Multimodal Data Encoding and Compression in Apache IoTDB. - Wendi He; Tianrui Xia; Shaoxu Song; Xiangdong Huang 001; Jianmin Wang 001 (Int. J. Softw. Informatics, 2024)

Optimizing Time Series Queries with Versions. - Rui Kang; Shaoxu Song (Proc. ACM Manag. Data, 2024)

High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors. - Jingyu Zhu; Yu Sun 027; Shaoxu Song; Xiaojie Yuan (Proc. ACM Manag. Data, 2024)

Streaming data cleaning based on speed change. - Haoyu Wang; Aoqian Zhang; Shaoxu Song; Jianmin Wang 001 (VLDB J., 2024)

Determining Exact Quantiles with Randomized Summaries. - Ziling Chen; Haoquan Guan; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. ACM Manag. Data, 2024)

Time Series Representation for Visualization in Apache IoTDB. - Lei Rui; Xiangdong Huang 001; Shaoxu Song; Yuyuan Kang; Chen Wang 018; Jianmin Wang 001 (Proc. ACM Manag. Data, 2024)

From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair. - Yu Sun 027; Shaoxu Song; Xiaojie Yuan (IEEE Trans. Knowl. Data Eng., 2024)

Time series data encoding in Apache IoTDB: comparative analysis and recommendation. - Tianrui Xia; Jinzhao Xiao; Yuxiang Huang; Changyu Hu; Shaoxu Song; Xiangdong Huang 001; Jian-min Wang 001 (VLDB J., 2024)

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB. - Chenguang Fang; Zijie Chen; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. VLDB Endow., 2024)

Distance-based Outlier Query Optimization in Apache IoTDB. - Yunxiang Su; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. VLDB Endow., 2024)

Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data. - Yu Sun 027; Jingyu Zhu; Xiao Xu; Xian Xu; Yuyao Sun; Shaoxu Song; Xiang Li; Xiaojie Yuan (Proc. VLDB Endow., 2024)

Apache TsFile: An IoT-native Time Series File Format. - Xin Zhao; Jialin Qiao; Xiangdong Huang 001; Chen Wang 018; Shaoxu Song; Jianmin Wang 001 (Proc. VLDB Endow., 2024)

OneRoundSTL: In-Database Seasonal-Trend Decomposition. - Zijie Chen; Shaoxu Song; Jianmin Wang 001 (ICDE, 2025)

Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data. - Rui Kang; Shaoxu Song; Jianmin Wang 001 (ICDE, 2025)

Collaborative Imputation for Multivariate Time Series with Convergence Guarantee. - Yu Sun 027; Xinyu Yang; Shaoxu Song; Ying Zhang 015; Xiaojie Yuan (ICDE, 2025)

BOS: Bit-Packing with Outlier Separation. - Jinzhao Xiao; Zihan Guo; Shaoxu Song (ICDE, 2025)

Short Time Series Group Compression and Merging Method in Apache TsFile. - Xingyu Liu; Shaoxu Song; Xiangdong Huang 001; Jianmin Wang 001 (Int. J. Softw. Informatics, 2025)

Randomized Sketches for Quantile in LSM-tree based Store. - Ziling Chen; Shaoxu Song (Proc. ACM Manag. Data, 2025)

Largest Triangle Sampling for Visualizing Time Series in Database. - Lei Rui; Xiangdong Huang 001; Shaoxu Song; Chen Wang 018; Jianmin Wang 001; Zhao Cao (Proc. ACM Manag. Data, 2025)

In-Database Time Series Clustering. - Yunxiang Su; Kenny Ye Liang; Shaoxu Song (Proc. ACM Manag. Data, 2025)

Migration-Free Elastic Storage of Time Series in Apache IoTDB. - Rongzhao Chen; Xiangpeng Hu; Xiangdong Huang; Chen Wang; Shaoxu Song; Jianmin Wang (Proc. VLDB Endow., 2025)

Relational Data Cleaning Meets Artificial Intelligence: A Survey. - Jingyu Zhu; Xintong Zhao; Yu Sun 027; Shaoxu Song; Xiaojie Yuan (Data Sci. Eng., 2025)

The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series. - Jingyu Zhu; Weiwei Deng; Yu Sun 027; Shaoxu Song; Haiwei Zhang; Xiaojie Yuan (Proc. ACM Manag. Data, 2025)

Apache IoTDB: A Time Series Database for Large Scale IoT Applications. - Chen Wang 018; Jialin Qiao; Xiangdong Huang 001; Shaoxu Song; Haonan Hou; Tian Jiang; Lei Rui; Jianmin Wang 001; Jiaguang Sun 001 (ACM Trans. Database Syst., 2025)

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models. - Xinyuan Liu; Jiahui Chen; Bocheng Hu; Yu Sun 027; Xinyang Chen 001; Shaoxu Song (CoRR, 2025)

Turn Waste Into Wealth: On Efficient Clustering and Cleaning Over Dirty Data. - Kenny Ye Liang; Yunxiang Su; Shaoxu Song; Chunping Li (IEEE Trans. Knowl. Data Eng., 2025)