靳若春 JIN Ruochun
靳若春，国防科技大学计算机学院助理研究员，爱丁堡大学信息学博士（数据库方向），研究方向为数据库理论与系统、数据质量、大模型与大数据。融合逻辑规则和统计学习方法，围绕大规模图数据质量管理、图与关系数据统一查询、并行图计算优化、大模型数据管理等课题开展研究，近年来在SIGMOD、VLDB、ICDE、TODS等CCF-A类数据库顶级会议与期刊发表学术论文11篇，授权/申请专利6项，主持国自科青年基金项目等。担任CCF数据库专委会执行委员、CCF软件工程专委会委员，获2024-2026“CCF青年人才托举工程”（中国科协第十届青年人才托举工程项目支持）。主讲本科专业必修课《数据科学与大数据基础》。
JIN Ruochun is an assistant researcher at the College of Computer Science and Technology, National University of Defense Technology. He holds a Ph.D. in Informatics (Database) from the University of Edinburgh. His research interests span database theory and systems, data quality, and big data. By integrating logical rules and statistical learning methods, he has been studying large-scale graph management, unified querying across graph and relational data, parallel graph computing optimization, and data management for large language models. He has published 11 academic papers in top database conferences and journals such as SIGMOD, VLDB, ICDE, and TODS, and has authorized/applied for 6 patents. His research has been funded by National Natural Science Foundation of China (Youth Program), a project of the State Key Laboratory, and the Youth Independent Innovation Fund Project of NUDT. He serves as an executive committee member of the Database Professional Committee of CCF and a committee member of the Software Engineering Professional Committee of CCF. He has been selected for the “CCF Youth Talent Support Program 2024 - 2026” (supported by the 10th Youth Talent Support Program of the China Association for Science and Technology). He teaches the undergraduate course “Fundations of Data Science and Big Data”.
论文代表作
（全部论文列表详见本人DBLP页面）
(Please refer to my DBLP page for more)
Shenglin Chen, Wenfei Fan, Ruochun Jin*. Outliers: The Good, the Bad and the Ugly. SIGMOD 2026. CCF推荐数据库A类会议，通讯作者
Haoqi Zheng, Dong Wang, Silin Yang, Yunpeng Qi, Ruochun Jin*. Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System. ACL 2025 Findings. CCF推荐人工智能A类会议、自然语言处理顶级会议，通讯作者
Meng Zhang, Kexin Ma, Liyang Xu, Kedi Zhang, Yuanxi Peng, Ruochun Jin*. CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL. ICDE 2025. CCF推荐数据库A类会议，通讯作者
Xi Wang, Ruochun Jin*, Wanrong Huang, Yuhua Tang. Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis. ICDE 2024: 639-652. CCF推荐数据库A类会议，共同一作、通讯作者
Wenfei Fan, Ping Lu, Kehan Pang, Ruochun Jin*, Wenyuan Yu. Linking Entities across Relations and Graphs. ACM Trans. Database Syst. 49(1): 2:1-2:50 (2024). CCF推荐数据库A类期刊，通讯作者
Kexin Ma, Ruochun Jin*, Xi Wang, Huan Chen, Jing Ren, Yuhua Tang: Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. EMNLP 2024 Findings. CCF推荐人工智能B类会议、自然语言处理顶级会议，共同一作、通讯作者
Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui: Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD 2024: 3829-3840; CCF推荐数据挖掘A类会议
Wenfei Fan, Wenzhi Fu, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian. Making It Tractable to Catch Duplicates and Conflicts in Graphs. Proc. ACM Manag. Data 1(1): 86:1-86:28 (2023). CCF推荐数据库A类会议，姓氏字母排序
Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin*, Weijie Ou, Wenliang Yi. Extracting Graphs Properties with Semantic Joins. ICDE 2023: 2262-2275. CCF推荐数据库A类会议，姓氏字母排序、主要贡献者，作为代表作收录入本人博士学位论文
Wenfei Fan, Wenzhi Fu, Ruochun Jin, Ping Lu, Chao Tian. Discovering Association Rules from Big Graphs. Proc. VLDB Endow. 15(7): 1479-1492 (2022). CCF推荐数据库A类会议，姓氏字母排序、主要贡献者，作为代表作收录入本人博士学位论文
Wenfei Fan, Ruochun Jin, Ping Lu, Chao Tian, Ruiqi Xu. Towards Event Prediction in Temporal Graphs. Proc. VLDB Endow. 15(9): 1861-1874 (2022). CCF推荐数据库A类会议，姓氏字母排序、主要贡献者，作为代表作收录入本人博士学位论文
Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou. Capturing Associations in Graphs. Proc. VLDB Endow. 13(11): 1863-1876 (2020). CCF推荐数据库A类会议，姓氏字母排序、主要贡献者，作为代表作收录入本人博士学位论文
Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin, Xiaojian Luo, Jingren Zhou, Ruochun Jin. Adaptive Asynchronous Parallelization of Graph Algorithms. ACM Trans. Database Syst. 45(2): 6:1-6:45 (2020). CCF推荐数据库A类期刊，姓氏字母排序
Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou. Application Driven Graph Partitioning. SIGMOD Conference 2020: 1765-1779. CCF推荐数据库A类会议，姓氏字母排序
Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu: Confusion Graph. Detecting Confusion Communities in Large Scale Image Classification. IJCAI 2017: 1980-1986, CCF推荐人工智能A类会议，第一作者，作为代表作收录入本人硕士学位论文
发明专利
- 靳若春，王希，杨文婧，杨绍，黄万荣，陈幻，谭慧彬，利用聚类和协方差分析加速有意义的函数依赖挖掘方法，2024-08-16，中国，CN118503602A
- 徐利洋，陈幻，郭烨婷，靳若春，王浩天，杨凇源，调整变量解耦的干预效应估计方法及系统，2024-02-06，中国，CN117521808A
- 樊文飞，靳若春，陆平，田超，许瑞琦，基于时序图规则的事件预测的方法及装置，2023-04-28，中国，CN116029408A
- 樊文飞，靳若春，陆平，于文渊 ，一种横跨图数据与关系数据的实体对识别方法及装置，2022-03-08，中国，CN114580390A
- 樊文飞，付文智，靳若春，陆平，田超，一种基于数据采样的并行图规则挖掘方法及装置，2022-08-17，中国，CN115358397A
- 樊文飞，靳若春，刘沐阳，陆平，罗小简，许瑞琦，尹强，于文渊，一种应用驱动的图划分调整方法和系统，2020-10-02，中国，CN111737531A
科研项目
- 中国科协第十届青年人才托举工程项目 30万元，2024-2026，主持，排名1 公示链接
- 面向含噪数据的规则挖掘快速算法研究，国家自然科学基金委青年项目
30万元，2024.01-2026.12，主持，排名1
教学工作
- 主讲国防科技大学本科专业必修课《数据科学与大数据基础》，相关教学科研成果发表在《计算机教育》期刊：杨文婧，靳若春（通讯作者），李雪琼. 立足”融合点概念”的学科交叉融合人才培养[J]. 计算机教育(2023)，2023-04-06