Gen Shi

According to our database, Gen Shi authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation.

Gen Shi, Yifan Zhu, Jian K. Liu, Xuesong Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

2023

Progressive Pretraining Network for 3D System Matrix Calibration in Magnetic Particle Imaging.

Gen Shi, Lin Yin, Yu An, Guanghui Li, Liwen Zhang, Zhongwei Bian, Ziwei Chen, Haoran Zhang, Hui Hui, Jie Tian

IEEE Trans. Medical Imaging, December, 2023

Are Nonimage Data Really Necessary for Disease Prediction With Graph Convolutional Networks?

Gen Shi, Yifan Zhu, Zhensen Chen, Jinyan Liu, Xuesong Li

IEEE Trans. Cogn. Dev. Syst., March, 2023

Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation.

Gen Shi, Hao Lu, Hui Hui, Jie Tian

CoRR, 2023

2022

Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder.

Gen Shi, Yifan Zhu, Fuquan Zhang, Wenjin Liu, Yuxiang Yao, Xuesong Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

The divided brain: Functional brain asymmetry underlying self-construal.

Gen Shi, Xuesong Li, Yifan Zhu, Ruihong Shang, Yang Sun, Hua Guo, Jie Sui

NeuroImage, 2021

Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity.

Yifan Zhu, Xuesong Li, Yufei Qiao, Ruihong Shang, Gen Shi, Yingying Shang, Hua Guo

Medical Image Anal., 2021

A Heterogeneous Graph Based Framework for Multimodal Neuroimaging Fusion Learning.

Gen Shi, Yifan Zhu, Wenjin Liu, Xuesong Li

CoRR, 2021

Dynamic neural network approach to human emotion: an analysis based on sliding time windows.

Jingqi Wang, Gen Shi, Ning Ma, Yang Sun, Xuesong Li, Jie Sui

Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021