Biography
Associate Professor at the School of Cybersecurity, Tianjin University. He received his Ph.D. from Harbin Institute of Technology in 2018 under the supervision of the renowned database scientist Prof. Jianzhong Li. From 2015 to 2017, he was a joint Ph.D. student at the University of Edinburgh, supervised by Prof. Wenfei Fan. His research spans database systems and theory, big data processing, data governance, graph data mining, as well as data security and privacy-preserving computing. His current research focuses on integrating logical rules with deep learning and large-scale models to address knowledge discovery challenges in multimodal data environments, while improving the interpretability of AI outcomes. In addition, he conducts in-depth research on data security and privacy-preserving computing in AI for Data, as well as the design and development of biosynthetic enzymes in AI for Science.
News
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One paper was conditionally accepted by Big Data Mining and Analytics 2025 (SCI Q1)
One paper was conditionally accepted by Big Data Mining and Analytics 2024 (SCI Q1)
One paper was conditionally accepted by VLDB 2024 (CCF A)
Two papers were conditionally accepted by DASFAA 2024 (CCF B)
Teaching
Database System
Advanced study of database management systems, focusing on implementation, optimization, and practical applications.
Algorithm Design and Analysis
Exploration of algorithm design techniques, complexity analysis, and problem-solving strategies.
Selected Publications
(* refers to corresponding author)
Extending graph rules with oralces
Entity Profiling with Graph Rules
Learning Rules in Knowledge Graphs via Contrastive Learning
A Reinforcement Learning Approach for Graph Rule Learning
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks
Traffic prediction based on auto spatiotemporal multi-graph adversarial neural network
Catching Numeric Inconsistencies in Graphs
Discovering Graph Functional Dependencies
Catching Numeric Inconsistencies in Graphs
Discovering Graph Functional Dependencies
Parallel Reasoning of Graph Functional Dependencies
EntityManager: Managing Dirty Data Based on Entity Resolution
不一致数据上查询结果的一致性估计
基于实体的相似性连接算法
Programs
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National Key R&D Program of China Sub-project
Research on key technologies of comprehensive information application platform for cultural relics safety based on big data technologies.
Research on big data analysis and prediction and early warning of cultural relic safety risk.
2020-2023 -
The National Natural Science Foundation of China Youth-Foundation
Research on graph dependencies for link predicting interpretion.
2020-2023