About Me

I am an Associate Professor in the Center of Statistical Research, School of Statistics at the Southwestern University of Finance and Economics. My research interest includes Graph Neural Networks and its applications in Economics and Medical Science.

🔥 News

  • 2024.5:  🎉🎉 One paper was accepted by the IJCAI 2024
  • 2023.11:   I am going to serve as a TPC member of IEEE the 7th International Conference on Big Data and Artificial Intelligence (BDAI 2024).

📐 Teaching Experience

I teach 最优化理论 II(Optimization Theory II) and General Linear Model this semester.

Courses taught:

统计学习 18’Fall 最优化理论 I 19’,20’,21’,22’Fall 深度学习 20’Fall
机器学习 18’,20’Fall 最优化理论 II 20’, 21’, 22’Spring, 21’Fall 自然语言处理 21’Spring
Python 编程 19’Fall 数据科学实战 20’Fall Multivariate Statistical Analysis(多元统计分析) 23’Fall
数据科学基础 19’,20’Fall 机器学习导论 20’Fall    

📝 Publications

GNN in Medical Science

MM 2023

ASD diagnosis with GNNs

Lu Wei, Bin Liu*, Jiujun He, Manxue Zhang, Yi Huang


  • Autism Spectrum Disorder (ASD) is an intricate neurodevelopmental condition that significantly impacts socialization and is distinguished by atypical, limited, or repetitive language behaviors. Our research focuses on the diagnosis of ASD utilizing multi-modal brain image data in conjunction with Graph Neural Networks (GNNs), specifically incorporating Diffusion Tensor Imaging (DTI), structural Magnetic Resonance Imaging (sMRI), and functional Magnetic Resonance Imaging (fMRI). Additionally, our objective is to identify the pathogenic functional regions within the brain networks associated with ASD.

GNN in F&E

IJCAI 2023

Analyze Industrial Chain with GNNs

Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin


  • The digital development of the industrial chain attracts more and more attention from researchers and policymakers. One of the critical issues is how the efficiency of the industrial chain is affected by external factors, such as macroeconomic policy, government regulation or monetary policy, international political factors, internal factors, such as microeconomic driver factors, and so on. In this project, we conduct a quantitative analysis of the development of the industry chain with GNNs.

Conference Papers

Journal Papers

🎖 Honors and Awards

  • 2016.10 Best Paper Runner Up, ACML 2016.
  • 2014.07 Best Paper Candidate, GlobeCom 2014.

🎓 Educations

  • 2013.09 - 2017.12, University of Electronic Science and Technology of China, Computer Science PhD.
  • 2008.09 - 2011.06, University of Electronic Science and Technology of China, Computer Science Mphil.
  • 2004.09 - 2008.06, Liaoning University of Technology, Bachelor of Computational Mathematics

🏫 Visiting

    • 2016.6 - 2017.6, University of British Columbia, visiting student.
    • 2023.11 - 2022.12, Imperial College of London, visiting scholar.

💻 Employment

💬 Invited Talks

  • 2024.07, Interpret How External Shocks Affect Industrial Chain using Graph Machine Learning, The 7th International Conference on Econometrics and Statistics (EcoSta 2024), Beijing.
  • 2023.08, Customizing personal large-scale language model using co-occurrence statistic information, 首届机器学习与统计会议,华东师范大学,上海.