Yangmin Huang

According to our database, Yangmin Huang authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

BrainNPT: Pre-training of Transformer networks for brain network classification.

Jinlong Hu, Yangmin Huang, Nan Wang, Shoubin Dong

CoRR, 2023

Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification.

Jinlong Hu, Yangmin Huang, Shoubin Dong

CoRR, 2023

BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis.

Jinlong Hu, Yangmin Huang, Yi Zhuo, Shoubin Dong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis.

Jinlong Hu, Yangmin Huang, Shoubin Dong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020

Graph Learning Approaches for Graph with Noise: Application to Disease Prediction in Population Graph.

Lang Chen, Yangmin Huang, Bin Liao, Kun Nie, Shoubin Dong, Jinlong Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020