Xuan Liu

According to our database, Xuan Liu authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients.

Xuan Liu, Menglu Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Subgraph-Aware Graph Kernel Neural Network for Link Prediction in Biological Networks.

Menglu Li, Zhiwei Wang, Luotao Liu, Xuan Liu, Wen Zhang

IEEE J. Biomed. Health Informatics, July, 2024

ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment.

Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation.

Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A subcomponent-guided deep learning method for interpretable cancer drug response prediction.

Xuan Liu, Wen Zhang

PLoS Comput. Biol., 2023

Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction.

Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction.

Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction.

Xuan Liu, Congzhi Song, Shichao Liu, Menglu Li, Xionghui Zhou, Wen Zhang

Bioinform., October, 2022

MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks.

Haitao Fu, Feng Huang, Xuan Liu, Yang Qiu, Wen Zhang

Bioinform., 2022

SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.

Guangzhan Zhang, Menglu Li, Huan Deng, Xinran Xu, Xuan Liu, Wen Zhang

Briefings Bioinform., 2022

GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.

Xuan Liu, Congzhi Song, Feng Huang, Haitao Fu, Wenjie Xiao, Wen Zhang

Briefings Bioinform., 2022

Predicting drug transcriptional response similarity using Signed Graph Convolutional Network.

Ziyan Wang, Chengzhi Hong, Xuan Liu, Zhankun Xiong, Feng Liu, Wen Zhang

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

2021

ADEIP: an integrated platform of age-dependent expression and immune profiles across human tissues.

Xuan Liu, Wenbo Chen, Yu Fang, Siqi Yang, Liuping Chang, Xingyu Chen, Haidong Ye, Xinyu Tang, Shan Zhong, Wen Zhang, Zhiqiang Dong, Leng Han, Chunjiang He

Briefings Bioinform., 2021