About me

I am an Assistant Professor at the South China University of Technology. Previously, I was a Postdoctoral Research Fellow in the School of Computing at the National University of Singapore, working with Prof. Bryan Hooi. I received my Ph.D. in Computer Science from the Dalian University of Technology, under the supervision of Prof. Yanming Shen. My research interests focus on Graph Machine Learning, AI for Science, Trustworthy AI and Business Intelligence.

Selected publications:

Zhuang Zhuang, Shanshan Feng, Hangwei Qian, Mingqi Yang, Heng Qi, Yanming Shen, Baocai Yin. Think2Go: Generative Next POI Recommendation with LLM Reasoning, KDD 2026

Runze Wang, Mingqi Yang, Yanming Shen. Bridging Molecular Graphs and Large Language Models, The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25)

Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi. Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering, International Conference on Machine Learning (ICML) 2023

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

Mingqi Yang, Renjian Wang, Yanming Shen, Heng Qi and Baocai Yin. Breaking the Expression Bottleneck of Graph Neural Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022

Mingqi Yang, Yanming Shen, Heng Qi and Baocai Yin. Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks, The Web Conference (WWW) 2021