Xuping Xie

According to our database, Xuping Xie authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.

Nan Sheng, Xuping Xie, Yan Wang, Lan Huang, Shuangquan Zhang, Ling Gao, Hao Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.

Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Qixing Yang

Briefings Bioinform., 2024

Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks.

Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Wenju Hou

Briefings Bioinform., 2024

A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer.

Lan Huang, Xin-Fei Wang, Yan Wang, Ren-Chu Guan, Nan Sheng, Xuping Xie, Lei Wang, Ziqi Zhao

Briefings Bioinform., 2024

2023

Predicting miRNA-disease associations based on PPMI and attention network.

Xuping Xie, Yan Wang, Kai He, Nan Sheng

BMC Bioinform., December, 2023

Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.

Nan Sheng, Yan Wang, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yuan Fu

Briefings Bioinform., September, 2023

Data resources and computational methods for lncRNA-disease association prediction.

Nan Sheng, Lan Huang, Yuting Lu, Hao Wang, Lili Yang, Ling Gao, Xuping Xie, Yuan Fu, Yan Wang

Comput. Biol. Medicine, February, 2023

A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.

Nan Sheng, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yan Wang

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

Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.

Nan Sheng, Lan Huang, Yan Wang, Ling Gao, Huiyan Sun, Xuping Xie

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

2021

Minimum Distribution Support Vector Clustering.

Yan Wang, Jiali Chen, Xuping Xie, Sen Yang, Wei Pang, Lan Huang, Shuangquan Zhang, Shishun Zhao

Entropy, 2021

Research and Application of Reinforcement Learning Recommendation Method for Taobao.

Lan Huang, Xiaofang Zhang, Yan Wang, Xuping Xie

Proceedings of the IEEE Symposium on Computers and Communications, 2021

An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data.

Yingze Xu, Yan Wang, Xuping Xie, Feilong Wang, Qiong Chen, Huiyan Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey.

Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu

CoRR, 2020

An Efficient v-Minimum Absolute Deviation Distribution Regression Machine.

Yan Wang, Yao Wang, Yingying Song, Xuping Xie, Lan Huang, Wei Pang, George M. Coghill

IEEE Access, 2020

2018

Data-Driven Filtered Reduced Order Modeling of Fluid Flows.

Xuping Xie, Muhammad Mohebujjaman, Leo G. Rebholz, Traian Iliescu

SIAM J. Sci. Comput., 2018

Numerical analysis of the Leray reduced order model.

Xuping Xie, David R. Wells, Zhu Wang, Traian Iliescu

J. Comput. Appl. Math., 2018

2017

Energy balance and mass conservation in reduced order models of fluid flows.

Muhammad Mohebujjaman, Leo G. Rebholz, Xuping Xie, Traian Iliescu

J. Comput. Phys., 2017