Yu Sun

25 papers A* 7Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts.
Trans. Mach. Learn. Res.
Weiyang Zhang, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
2025 A* conf
Collaborative Imputation for Multivariate Time Series with Convergence Guarantee.
ICDE
Yu Sun, Xinyu Yang, Shaoxu Song, Ying Zhang, Xiaojie Yuan
2025 J jnl
From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies.
Proc. ACM Manag. Data
Weiwei Deng, Yu Sun, Shaoxu Song, Xiaojie Yuan
2025 A* conf
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales.
AAAI
Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan
2025 J jnl
Learning Dependency Models for Subset Repair.
CoRR
Haoda Li, Jiahui Chen, Yu Sun, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan
2025 J jnl
Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series.
Trans. Mach. Learn. Res.
Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
2025 J jnl
Minimum Change≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints.
Proc. ACM Manag. Data
Jiahui Chen, Yu Sun, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan
2025 J jnl
Relational Data Cleaning Meets Artificial Intelligence: A Survey.
Data Sci. Eng.
Jingyu Zhu, Xintong Zhao, Yu Sun, Shaoxu Song, Xiaojie Yuan
2025 J jnl
Sync Without Guesswork: Incomplete Time Series Alignment.
CoRR
Ding Jia, Jingyu Zhu, Yu Sun, Aoqian Zhang, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan
2025 J jnl
The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series.
Proc. ACM Manag. Data
Jingyu Zhu, Weiwei Deng, Yu Sun, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan
2025 J jnl
Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models.
CoRR
Xinyuan Liu, Jiahui Chen, Bocheng Hu, Yu Sun, Xinyang Chen, Shaoxu Song
2024 — conf
Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation.
DASFAA (2)
Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen
2024 A* conf
Frequency-aware Generative Models for Multivariate Time Series Imputation.
NeurIPS
Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen
2024 J jnl
From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair.
IEEE Trans. Knowl. Data Eng.
Yu Sun, Shaoxu Song, Xiaojie Yuan
2024 J jnl
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales.
CoRR
Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan
2024 J jnl
High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors.
Proc. ACM Manag. Data
Jingyu Zhu, Yu Sun, Shaoxu Song, Xiaojie Yuan
2024 J jnl
Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data.
Proc. VLDB Endow.
Yu Sun, Jingyu Zhu, Xiao Xu, Xian Xu, Yuyao Sun, Shaoxu Song, Xiang Li, Xiaojie Yuan
2023 J jnl
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training.
IEEE Trans. Parallel Distributed Syst.
Zan Zong, Li Lin, Leilei Lin, Lijie Wen, Yu Sun
2022 — conf
Confidence Bounded Replica Currency Estimation.
SIGMOD Conference
Yu Sun, Zheng Zheng, Shaoxu Song, Fei Chiang
2021 A* conf
From Minimum Change to Maximum Density: On S-Repair under Integrity Constraints.
ICDE
Yu Sun, Shaoxu Song
2020 J jnl
Enriching Data Imputation under Similarity Rule Constraints.
IEEE Trans. Knowl. Data Eng.
Shaoxu Song, Yu Sun, Aoqian Zhang, Lei Chen, Jianmin Wang
2020 A* conf
Imputing Various Incomplete Attributes via Distance Likelihood Maximization.
KDD
Shaoxu Song, Yu Sun
2020 J jnl
Learning Individual Models for Imputation (Technical Report).
CoRR
Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang
2020 A* conf
Swapping Repair for Misplaced Attribute Values.
ICDE
Yu Sun, Shaoxu Song, Chen Wang, Jianmin Wang
2019 A* conf
Learning Individual Models for Imputation.
ICDE
Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang