【目前课题组还有1个2025级专硕考研名额,有意同学请邮件联系】
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!(每位实习生均可获得一对一的亲自指导和论文撰写全流程的深度帮助)
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,#:本科实习生,✉:通讯作者
- 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✉, 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
荣誉奖励
- CCF数据库专委会优秀博士学位论文奖(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