Biography

I am an Associate Professor in the School of Intelligence and Computing at Tianjin University. I earned my Ph.D. from Harbin Institute of Technology in 2018 under the supervision of Professor Jianzhong Li. From 2015 to 2017, I was a joint Ph.D. student at the University of Edinburgh, mentored by Academician Wenfei Fan. My research interests include database systems, big data processing, data governance, graph data mining, and multimodal data analysis. Currently, I focus on integrating logical rules with deep learning for knowledge discovery in multimodal data and enhancing AI interpretability. I also work on large-scale models for biomanufacturing.

News

    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 Principles

Introduction to the fundamental concepts of database systems, including data models, query languages, and database design.

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)

Anomaly Detection Using Graph Anomaly Rules

Bowen Dong, Wenjun Wang, Lifei Sun, Xueli Liu*, Zhenzhen Mai
SCI Q1 Big Data Mining and Analytics 2025 (Accepted)

Entity Profiling with Graph Rules

Zhenzhen Mai, Wenjun Wang, Xueli Liu*, Xiaoyang Feng, Bowen Dong
CCF B DASFAA 2024

Learning Rules in Knowledge Graphs via Contrastive Learning

Xiaoyang Feng, Xueli Liu*, Yajun Yang, Wenjun Wang, Jun Wang
CCF B DASFAA 2024

STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks

Jun Wang, Wenjun Wang, Yu Wei, Xueli Liu, Keyong Jia, Xiaoming Li, Min Zhong, Yueheng Sun, Yuqing Xu
SCI Q1 Knowledge-Based Systems 2022

Traffic prediction based on auto spatiotemporal multi-graph adversarial neural network

Jun Wang, Wenjun Wang, Xueli Liu, Wei Yu, Xiaoming Li, Peiliang Sun
SCI Q2 Physic A 2022

Programs

  • 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