Changzhi Jiang

According to our database, Changzhi Jiang authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learning.

Xinru Ruan, Changzhi Jiang, Peixuan Lin, Yuan Lin, Juan Liu, Shaohui Huang, Xiangrong Liu

Briefings Bioinform., March, 2023

KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations.

Changzhi Jiang, Minli Tang, Shuting Jin, Wei Huang, Xiangrong Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph.

Yuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

DeepTTA: a transformer-based model for predicting cancer drug response.

Likun Jiang, Changzhi Jiang, Xinyu Yu, Rao Fu, Shuting Jin, Xiangrong Liu

Briefings Bioinform., 2022

2021

HeTDR: Drug repositioning based on heterogeneous networks and text mining.

Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng

Patterns, 2021

Heterogeneous network-based drug repurposing for COVID-19.

Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng

CoRR, 2021

2020

A multi-task learning method for analyzing microbiota as cancer immunotherapy signal.

Changzhi Jiang, Yousi Fu, Shuting Jin, Xiangrong Liu, Baishan Fang, Xiangxiang Zeng

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