个人简历 CV

教育经历 Education

博士（信息学，数据库方向），英国爱丁堡大学（University of Edinburgh），导师：Prof. Wenfei Fan、Prof. Leonid Libkin
- 博士学位论文：《Tackling the Veracity and Variety of Big Data》，论文链接
硕士，国防科技大学（NUDT），导师：窦勇研究员
- 硕士学位论文：《基于混淆图的深度模型缺陷分析与大规模图像数据集标注清洗》，论文链接

工作经历 Work Experience

2025.12-至今国防科技大学计算机学院，副教授，硕士研究生导师
2022.06-2025.11 国防科技大学计算机学院，助理研究员

奖励与荣誉 Awards

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），公示链接

科研项目 Research Projects

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
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

学术服务 Academic Service

CCF高级会员；CCF数据库专委会委员、CCF信息系统专委会委员、CCF软件工程专委会委员
担任VLDB、KDD、ACL (AC)、EMNLP (AC)、ACMMM、ChinaSys、WSDM、DSE等会议与期刊审稿人

学术论文 Publications

全部论文列表详见 Publications 页面及我的 DBLP 页面。

Thought Mining for Large Language Model Reasoning

Xi Wang, Zixiao Huang, Tailai Zhang, Yuhua Tang, Ruochun Jin*. "Thought Mining for Large Language Model Reasoning." Proc. VLDB Endow. (VLDB 2027).

Fast Discovery of Conditional Functional Dependencies via Transformer-Guided Relation Partitioning

Ruochun Jin, Shenglin Chen, Xi Wang, Siyi Yang, Ting Wang. "Fast Discovery of Conditional Functional Dependencies via Transformer-Guided Relation Partitioning." Proc. VLDB Endow. (VLDB 2027).

Detecting Contradictions Within and Across Documents

Shenglin Chen, Wenfei Fan, Ruochun Jin*, Kexin Ma. "Detecting Contradictions Within and Across Documents." SIGMOD 2027 (Round 1).

Catching Inconsistencies in Vector Similarity Retrieval

Zixiao Huang, Ruochun Jin*, Haotian Wang, Meng Zhang, Yuhua Tang. "Catching Inconsistencies in Vector Similarity Retrieval." SIGMOD 2027 (Round 2).

PUMatch: Bandwidth-Efficient DFS-based Subgraph Matching under GPU Memory Oversubscription

Chen Chen, Junsheng Chang, Xin Yang, Ruochun Jin, Li Shen, Kai Lu. "PUMatch: Bandwidth-Efficient DFS-based Subgraph Matching under GPU Memory Oversubscription." SC 2026.

VOMEL: Void-Aware Optimization for Multimodal Entity Linking

Jintao Huang, Ruochun Jin, Bojun Li, Yuanxi Peng. "VOMEL: Void-Aware Optimization for Multimodal Entity Linking." ACM MM 2026.

CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQA

Meng Zhang, Ruochun Jin, Wenjing Yang, Haotian Wang, Liting Sun, Kun Hu, Silin Yang, Kedi Zhang, Yuanxi Peng. "CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQA." Findings of ACL 2026.

Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules

Kexin Ma, Haotian Wang, Shenglin Chen, Yishuai Cai, Yu Huang, Ruochun Jin*. "Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules." ACL 2026 (Oral Presentation).

PathSeer: Adaptive Neighbor Handling for Efficient Filtered ANN Search

Zhiyue Li, Guangyan Zhang, Ruochun Jin, Bojun Li, Xiaoguang Ren, Wenjing Yang. "PathSeer: Adaptive Neighbor Handling for Efficient Filtered ANN Search." SIGMOD 2026 (Round 4).

Outliers: The Good, the Bad and the Ugly

Shenglin Chen, Wenfei Fan, Ruochun Jin*. "Outliers: The Good, the Bad and the Ugly." SIGMOD 2026 (Round 1).

L³C: Leaf-Centric Continuous Codes for Natural Language-Driven Table Discovery

Qiyuan Zhang, Ruochun Jin*, Jixin Zhang, Yuhua Tang, Xiang Zhao, Shixuan Liu. "L³C: Leaf-Centric Continuous Codes for Natural Language-Driven Table Discovery." ICDE 2026.

Fast Discovery of Functional Dependencies via Bayesian Network Learning

Siyi Yang, Shenglin Chen, Xi Wang, Yuhua Tang, Ruochun Jin*. "Fast Discovery of Functional Dependencies via Bayesian Network Learning." ICDE 2026.

扩散模型引导的根因分析

王浩天, 周学广, 王尚文, 靳若春, 黄万荣, 杨文婧, 王戟. "扩散模型引导的根因分析." 软件学报, 2026.

TALON: A Multi-Agent Framework for Long-Table Exploration and Question Answering

Ruochun Jin, Xiyue Wang, Dong Wang, Haoqi Zheng, Yunpeng Qi, Silin Yang, Meng Zhang. "TALON: A Multi-Agent Framework for Long-Table Exploration and Question Answering." EMNLP 2025.

Enhancing Multimodal Entity Linking via Distillation and Multimodal Large Language Models

Jintao Huang, Dong Wang, Shasha Li, Yuanxi Peng, Ruochun Jin*. "Enhancing Multimodal Entity Linking via Distillation and Multimodal Large Language Models." CIKM 2025.

Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System

Haoqi Zheng, Dong Wang, Silin Yang, Yunpeng Qi, Ruochun Jin*. "Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System." Findings of ACL 2025.

CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL

Meng Zhang, Kexin Ma, Liyang Xu, Kedi Zhang, Yuanxi Peng, Ruochun Jin*. "CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL." ICDE 2025.

TimeRAG: Boosting LLM Time Series Forecasting via Retrieval-Augmented Generation

Silin Yang, Dong Wang, Haoqi Zheng, Ruochun Jin. "TimeRAG: Boosting LLM Time Series Forecasting via Retrieval-Augmented Generation." ICASSP 2025: 1-5.

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs

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." Findings of EMNLP 2024.

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference

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.

Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis

Xi Wang, Ruochun Jin*, Wanrong Huang, Yuhua Tang. "Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis." ICDE 2024: 639-652.

Linking Entities across Relations and Graphs

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).

Making It Tractable to Catch Duplicates and Conflicts in Graphs

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).

Extracting Graphs Properties with Semantic Joins

Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin*, Weijie Ou, Wenliang Yi. "Extracting Graphs Properties with Semantic Joins." ICDE 2023: 2262-2275.

Towards Event Prediction in Temporal Graphs

Wenfei Fan, Ruochun Jin, Ping Lu, Chao Tian, Ruiqi Xu. "Towards Event Prediction in Temporal Graphs." Proc. VLDB Endow. 15(9): 1861-1874 (2022).

Discovering Association Rules from Big Graphs

Wenfei Fan, Wenzhi Fu, Ruochun Jin, Ping Lu, Chao Tian. "Discovering Association Rules from Big Graphs." Proc. VLDB Endow. 15(7): 1479-1492 (2022).

Capturing Associations in Graphs

Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou. "Capturing Associations in Graphs." Proc. VLDB Endow. 13(11): 1863-1876 (2020).

Application Driven Graph Partitioning

Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou. "Application Driven Graph Partitioning." SIGMOD 2020: 1765-1779.

Adaptive Asynchronous Parallelization of Graph Algorithms

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).

Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification

Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu. "Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification." IJCAI 2017: 1980-1986.

靳若春 JIN Ruochun