NeSyDep：神经-符号数据依赖挖掘工具
Neural-Symbolic Dependency discovery——快速挖掘函数依赖（FD）与条件函数依赖（CFD）等数据依赖的开源工具
https://github.com/ruochunjin/NeSyDep
Posts by Collection
portfolio
PUMatch：GPU 显存超订下的带宽高效子图匹配
Bandwidth-Efficient DFS-based Subgraph Matching under GPU Memory Oversubscription（SC 2026 论文开源实现）
https://github.com/DoubleChen-cc/PUMatch
publications
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification
Published in IJCAI 2017
Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu. 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
Adaptive Asynchronous Parallelization of Graph Algorithms
Published in ACM Transactions on Database Systems (TODS), 2020
Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin, Xiaojian Luo, Jingren Zhou, Ruochun Jin. ACM Trans. Database Syst. (TODS) 45(2): 6:1-6:45 (2020)，CCF推荐数据库A类期刊，姓氏字母排序
Application Driven Graph Partitioning
Published in SIGMOD 2020
Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou. SIGMOD 2020: 1765-1779，CCF推荐数据库A类会议，姓氏字母排序
Capturing Associations in Graphs
Published in Proceedings of the VLDB Endowment (VLDB 2020)
Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou. 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
Discovering Association Rules from Big Graphs
Published in Proceedings of the VLDB Endowment (VLDB 2022)
Wenfei Fan, Wenzhi Fu, Ruochun Jin, Ping Lu, Chao Tian. 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
Towards Event Prediction in Temporal Graphs
Published in Proceedings of the VLDB Endowment (VLDB 2022)
Wenfei Fan, Ruochun Jin, Ping Lu, Chao Tian, Ruiqi Xu. 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
Extracting Graphs Properties with Semantic Joins
Published in ICDE 2023
Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin*, Weijie Ou, Wenliang Yi. 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
Making It Tractable to Catch Duplicates and Conflicts in Graphs
Published in Proceedings of the ACM on Management of Data (SIGMOD 2023)
Wenfei Fan, Wenzhi Fu, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian. Proc. ACM Manag. Data (SIGMOD) 1(1): 86:1-86:28 (2023)，CCF推荐数据库A类会议，姓氏字母排序
Linking Entities across Relations and Graphs
Published in ACM Transactions on Database Systems (TODS), 2024
Wenfei Fan, Ping Lu, Kehan Pang, Ruochun Jin*, Wenyuan Yu. ACM Trans. Database Syst. (TODS) 49(1): 2:1-2:50 (2024)，CCF推荐数据库A类期刊，通讯作者
Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis
Published in ICDE 2024
Xi Wang（协助指导博士生）, Ruochun Jin*, Wanrong Huang, Yuhua Tang. ICDE 2024: 639-652，CCF推荐数据库A类会议，共同一作、通讯作者。已集成至开源工具 NeSyDep
Your Neighbor Matters: Towards Fair Decisions Under Networked Interference
Published in KDD 2024
Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui. KDD 2024: 3829-3840，CCF推荐数据挖掘A类会议
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
Published in Findings of EMNLP 2024
Kexin Ma（协助指导博士生）, Ruochun Jin*, Xi Wang, Huan Chen, Jing Ren, Yuhua Tang. EMNLP 2024 Findings，CCF推荐人工智能B类会议Findings，共同一作、通讯作者
TimeRAG: Boosting LLM Time Series Forecasting via Retrieval-Augmented Generation
Published in ICASSP 2025
Silin Yang, Dong Wang（共同一作）, Haoqi Zheng, Ruochun Jin. ICASSP 2025，IEEE信号处理旗舰会议
CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL
Published in ICDE 2025
Meng Zhang（协助指导博士生）, Kexin Ma, Liyang Xu, Kedi Zhang, Yuanxi Peng, Ruochun Jin*. ICDE 2025，CCF推荐数据库A类会议，通讯作者
Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System
Published in Findings of ACL 2025
Haoqi Zheng（协助指导博士生）, Dong Wang, Silin Yang, Yunpeng Qi, Ruochun Jin*. ACL 2025 Findings，CCF推荐人工智能A类会议Findings，通讯作者
Enhancing Multimodal Entity Linking via Distillation and Multimodal Large Language Models
Published in CIKM 2025
Jintao Huang（协助指导博士生）, Dong Wang, Shasha Li, Yuanxi Peng, Ruochun Jin*. CIKM 2025，CCF推荐数据挖掘B类会议，通讯作者
TALON: A Multi-Agent Framework for Long-Table Exploration and Question Answering
Published in EMNLP 2025
Ruochun Jin, Xiyue Wang（协助指导硕士生）, Dong Wang, Haoqi Zheng, Yunpeng Qi, Silin Yang, Meng Zhang. EMNLP 2025，CCF推荐人工智能B类会议、自然语言处理顶级会议，第一作者
扩散模型引导的根因分析
Published in 软件学报 2026
王浩天, 周学广, 王尚文, 靳若春, 黄万荣, 杨文婧, 王戟. 《软件学报》2026，CCF分级T1类顶级中文期刊
Fast Discovery of Functional Dependencies via Bayesian Network Learning
Published in ICDE 2026
Siyi Yang（协助指导博士生）, Shenglin Chen, Xi Wang, Yuhua Tang, Ruochun Jin*. ICDE 2026，CCF推荐数据库A类会议，通讯作者。已集成至开源工具 NeSyDep
L³C: Leaf-Centric Continuous Codes for Natural Language-Driven Table Discovery
Published in ICDE 2026
Qiyuan Zhang（协助指导博士生）, Ruochun Jin*, Jixin Zhang, Yuhua Tang, Xiang Zhao, Shixuan Liu. ICDE 2026，CCF推荐数据库A类会议，共同一作
Outliers: The Good, the Bad and the Ugly
Published in SIGMOD 2026 (Round 1)
Shenglin Chen（协助指导博士生）, Wenfei Fan, Ruochun Jin*. SIGMOD 2026 (Round 1)，CCF推荐数据库A类会议，姓氏字母排序，通讯作者
PathSeer: Adaptive Neighbor Handling for Efficient Filtered ANN Search
Published in SIGMOD 2026 (Round 4)
Zhiyue Li（协助指导博士生）, Guangyan Zhang, Ruochun Jin, Bojun Li, Xiaoguang Ren, Wenjing Yang. SIGMOD 2026 (Round 4)，CCF推荐数据库A类会议
Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules
Published in ACL 2026 (Oral)
Kexin Ma（协助指导博士生）, Haotian Wang, Shenglin Chen, Yishuai Cai, Yu Huang, Ruochun Jin*. ACL 2026 (Oral Presentation)，CCF推荐人工智能A类会议，通讯作者
CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQA
Published in Findings of ACL 2026
Meng Zhang（协助指导博士生）, Ruochun Jin, Wenjing Yang, Haotian Wang, Liting Sun, Kun Hu, Silin Yang, Kedi Zhang, Yuanxi Peng. ACL 2026 Findings，CCF推荐人工智能A类会议Findings
VOMEL: Void-Aware Optimization for Multimodal Entity Linking
Published in ACM MM 2026
Jintao Huang（协助指导博士生）, Ruochun Jin, Bojun Li, Yuanxi Peng. ACM MM 2026，CCF推荐计算机图形学与多媒体A类会议
PUMatch: Bandwidth-Efficient DFS-based Subgraph Matching under GPU Memory Oversubscription
Published in SC 2026
Chen Chen, Junsheng Chang, Xin Yang, Ruochun Jin, Li Shen, Kai Lu. SC 2026，CCF推荐体系结构A类会议。开源实现：PUMatch
Catching Inconsistencies in Vector Similarity Retrieval
Published in SIGMOD 2027 (Round 2)
Zixiao Huang（协助指导博士生）, Ruochun Jin*, Haotian Wang, Meng Zhang, Yuhua Tang. SIGMOD 2027 (Round 2)，CCF推荐数据库A类会议，通讯作者
Detecting Contradictions Within and Across Documents
Published in SIGMOD 2027 (Round 1)
Shenglin Chen（协助指导博士生）, Wenfei Fan, Ruochun Jin*, Kexin Ma. SIGMOD 2027 (Round 1)，CCF推荐数据库A类会议，姓氏字母排序，通讯作者
Fast Discovery of Conditional Functional Dependencies via Transformer-Guided Relation Partitioning
Published in Proceedings of the VLDB Endowment (VLDB 2027)
Ruochun Jin, Shenglin Chen（协助指导博士生）, Xi Wang, Siyi Yang, Ting Wang. VLDB 2027，CCF推荐数据库A类会议，第一作者。已集成至开源工具 NeSyDep
Thought Mining for Large Language Model Reasoning
Published in Proceedings of the VLDB Endowment (VLDB 2027)
Xi Wang（协助指导博士生）, Zixiao Huang, Tailai Zhang, Yuhua Tang, Ruochun Jin*. VLDB 2027，CCF推荐数据库A类会议，通讯作者
talks
第三期CCF秀湖会议“人工智能时代计算机课程体系”研讨
发布时间：
受邀参加第三期CCF秀湖会议”人工智能时代计算机课程体系”研讨，介绍国防科技大学在”数据科学与大数据基础”课程的建设与实践经验。相关研讨成果写入第三期CCF秀湖会议报告，发表于2023年11月《中国计算机学会通讯》。报告链接
立足“融合点概念”的数据科学课程实践
发布时间：
受邀参加第二届数据科学与大数据专业产学合作论坛，作题为《立足”融合点概念”的数据科学课程实践》的报告。论坛链接
2024 CCF中国软件大会“大模型评测技术”论坛（论坛主席）
发布时间：
作为论坛主席主持2024 CCF中国软件大会”大模型评测技术”论坛。论坛链接
CCF中国计算机系统大会（CCF SYS 2025）体系结构优秀青年学者与博士生发展论坛报告
发布时间：
作为讲者参加第三届CCF中国计算机系统大会（CCF SYS 2025）体系结构优秀青年学者与博士生发展论坛，汇报数据系统前沿进展。论坛链接
teaching
数据科学与大数据基础 Fundamentals of Data Science and Big Data
本科专业必修课 Undergraduate core course, 国防科技大学计算机学院 College of Computer Science and Technology, NUDT, 2023
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》。