Changzhi Jiang

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Heterogeneous Networks

Graph Structure

Textual Documents

Multi Task Learning

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Yuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang
RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph. ICIC (3) (2023)
Changzhi Jiang, Minli Tang, Shuting Jin, Wei Huang, Xiangrong Liu
KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Xinru Ruan, Changzhi Jiang, Peixuan Lin, Yuan Lin, Juan Liu, Shaohui Huang, Xiangrong Liu
MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learning. Briefings Bioinform. 24 (2) (2023)
Likun Jiang, Changzhi Jiang, Xinyu Yu, Rao Fu, Shuting Jin, Xiangrong Liu
DeepTTA: a transformer-based model for predicting cancer drug response. Briefings Bioinform. 23 (3) (2022)
Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng
Heterogeneous network-based drug repurposing for COVID-19. CoRR (2021)
Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng
HeTDR: Drug repositioning based on heterogeneous networks and text mining. Patterns 2 (8) (2021)
Changzhi Jiang, Yousi Fu, Shuting Jin, Xiangrong Liu, Baishan Fang, Xiangxiang Zeng
A multi-task learning method for analyzing microbiota as cancer immunotherapy signal. BIBM (2020)