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

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

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

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

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

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

STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. - Zan Zong; Li Lin 011; Leilei Lin; Lijie Wen 001; Yu Sun 027 (IEEE Trans. Parallel Distributed 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)

Frequency-aware Generative Models for Multivariate Time Series Imputation. - Xinyu Yang; Yu Sun 027; Xiaojie Yuan; Xinyang Chen 001 (NeurIPS, 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)

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)

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)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. - Xinyu Yang; Yu Sun 027; Xinyang Chen 001; Ying Zhang 015; Xiaojie Yuan (AAAI, 2025)

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

Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series. - Jiacheng You; Xinyang Chen 001; Yu Sun 027; Weili Guan; Liqiang Nie (Trans. Mach. Learn. Res., 2025)

Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts. - Weiyang Zhang; Xinyang Chen 001; Yu Sun 027; Weili Guan; Liqiang Nie (Trans. Mach. Learn. Res., 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)

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)