Mingqi Yang, Assistant Professor

Email：yangmq@scut.edu.cn

Website: https://faculty.scut.edu.cn/dzswx/ymq/main.htm

Profile

  Dr. Yang’s research is primarily engaged ingraph machine learning, AI for Science, algorithmic fairness, businessintelligence, and related areas. His work has been published in top-tierconferences and journals in machine learning and artificial intelligence, suchas the International Conference on Machine Learning (ICML), the Association forthe Advancement of Artificial Intelligence (AAAI), The Web Conference (WWW),and IEEE Transactions on Knowledge and Data Engineering (TKDE).

Research Interests

Machine Learning, Graph Mining, Data Science and BusinessIntelligence 

Education  

2019.09~2023.06 Dalian University of Technology, PhD 

2022.10~2023.04 National University of Singapore, Visiting PhD 

2015.09~2018.06 Jilin Technology, MSc.        

2011.09~2015.06 Shandong Normal University, BSc 

Experience

2025.01~ South China University of Technology, Department ofElectronic Business, Assistant Professor 

2023.08~2024.08 National University of Singapore, School ofComputing, Postdoc        

2018.07~2019.03 Xiaomi, AI & Cloud, Software Engineer

Papers

[1] Runze Wang, Mingqi Yang, Yanming Shen. Bridging Molecular Graphsand Large Language Models. The Association for the Advancement of ArtificialIntelligence (AAAI) 2025 (CCF A) 

[2] Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi. TowardsBetter Graph Representation Learning with Parameterized Decomposition &Filtering. International Conference on Machine Learning (ICML) 2023 (CCFA) 

[3] Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, BaocaiYin. A New Perspective on the Effects of Spectrum in Graph Neural Networks.International Conference on Machine Learning (ICML) 2022 (CCF A) 

[4] Mingqi Yang, Renjian Wang, Yanming Shen, Heng Qi, Baocai Yin.Breaking the Expression Bottleneck of Graph Neural Networks. IEEE Transactionson Knowledge and Data Engineering (TKDE) 2022 (CCF A)