课题组常年招收本科实习生，欢迎有论文发表意愿和较强自驱力的同学加入我们！

教育经历

• 2017.8-2022.7 清华大学 博士 导师：宋韶旭（https://sxsong.github.io）
• 2013.8-2017.7 南开大学 学士

发表论文

*：(协助指导)研究生，^#：本科生，✉：通讯作者

• Jingyu Zhu*, Weiwei Deng^#, Yu Sun^✉, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan. The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series. ACM SIGMOD International Conference on Management of Data, SIGMOD, 2025. (CCF-A)
• Yu Sun, Xinyu Yang*, Shaoxu Song, Ying Zhang, Xiaojie Yuan. Collaborative Imputation for Multivariate Time Series with Convergence Guarantee. IEEE International Conference on Data Engineering, ICDE, 2025. (CCF-A)
• Xinyu Yang*, Yu Sun^✉, Xinyang Chen^✉, Ying Zhang, Xiaojie Yuan. Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. AAAI Conference on Artificial Intelligence, AAAI, 2025. (CCF-A)
• Jiacheng You*, Xinyang Chen^✉, Yu Sun^✉, Weili Guan, Liqiang Nie. Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series. Transactions on Machine Learning Research. TMLR, 2025.
• Jingyu Zhu^#, Yu Sun^✉, Shaoxu Song, Xiaojie Yuan. High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors. ACM SIGMOD International Conference on Management of Data, SIGMOD, 2024. (CCF-A)
• Yu Sun, Jingyu Zhu^#, Xiao Xu, Xian Xu, Yuyao Sun, Shaoxu Song, Xiang Li, Xiaojie Yuan. Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data. International Conference on Very Large Data Bases, VLDB, 2024. (CCF-A)
• Xinyu Yang*, Yu Sun^✉, Xiaojie Yuan, Xinyang Chen^✉. Frequency-aware Generative Models for Multivariate Time Series Imputation. Neural Information Processing Systems, NeurIPS, 2024. (CCF-A)
• Jingyu Zhu^#, Xintong Zhao^#, Yu Sun^✉, Shaoxu Song, Xiaojie Yuan. Relational Data Cleaning Meets Artificial Intelligence: A Survey. Data Science and Engineering, DSEJ, 2024. (JCR Q1)
• Xinyu Yang*, Yu Sun^✉, Shaoxu Song, Xiaojie Yuan, Xinyang Chen. Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation. International Conference on Database Systems for Advanced Applications, DASFAA, 2024. (CCF-B)
• Yu Sun, Shaoxu Song, Xiaojie Yuan. From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair. IEEE Transactions on Knowledge and Data Engineering, TKDE, 2023. (CCF-A)
• Zan Zong, Li Lin, Leilei Lin, Lijie Wen, Yu Sun. STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. IEEE Transactions on Parallel and Distributed Systems, TPDS, 2023. (CCF-A)
• Yu Sun, Zheng Zheng, Shaoxu Song, Fei Chiang. Confidence Bounded Replica Currency Estimation. ACM SIGMOD International Conference on Management of Data, SIGMOD, 2022. (CCF-A)
• Yu Sun, Shaoxu Song. From Minimum Change to Maximum Density: On S-Repair under Integrity Constraints. IEEE International Conference on Data Engineering, ICDE, 2021. (CCF-A)
• Yu Sun, Shaoxu Song, Chen Wang, Jianmin Wang. Swapping Repair for Misplaced Attribute Values. IEEE International Conference on Data Engineering, ICDE, 2020. (CCF-A)
• Shaoxu Song, Yu Sun. Imputing Various Incomplete Attributes via Distance Likelihood Maximization. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, SIGKDD, 2020. (CCF-A)
• Shaoxu Song, Yu Sun, Aoqian Zhang, Lei Chen, Jianmin Wang. Enriching Data Imputation under Similarity Rule Constraints. IEEE Transactions on Knowledge and Data Engineering, TKDE, 2020. (CCF-A)
• Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang. Learning Individual Models for Imputation. IEEE International Conference on Data Engineering, ICDE, 2019. (CCF-A)

科研项目

• 国家自然科学基金青年项目，主持
• 天津市自然科学基金青年项目，主持
• 华为胡杨林基金数据库专项，参与

学术服务

• 期刊审稿人：TODS, TKDE, BDMA
• 会议程序委员会成员：NeurIPS 2025 / 2024, ICML 2025, ICLR 2025, CIKM 2025 / 2024, DASFAA 2025 / 2024, ADMA 2025, BigData 2025

荣誉奖励

• 中国计算机学会数据库专委会优秀博士学位论文（https://mp.weixin.qq.com/s/ad10WJNwiy0XhiiFUIWrug）
• 清华大学软件学院优秀博士毕业生
• 南开大学本科毕业设计优秀指导教师