About me

I am a postdoctoral research fellow in the School of Computing in National University of Singapore, working with Prof. Bryan Hooi. Before that, I received my Ph.D. in Computer Science from Dalian University of Technology. My research interest mainly focuses on deep learning on graphs.

Selected publications:

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 (WebConf) 2021.