Linlin Zhuo

According to our database, Linlin Zhuo authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism.

Zhecheng Zhou, Zhenya Du, Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xiangzheng Fu, Xinze Lian

Comput. Biol. Medicine, September, 2023

GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning.

Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, Xinze Lian, Xiangzheng Fu, Xiaojun Yao

Briefings Bioinform., July, 2023

HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions.

Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xinze Lian, Xiaojun Yao, Xiangzheng Fu

Comput. Biol. Medicine, May, 2023

2022

Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning.

Linlin Zhuo, Bosheng Song, Yuansheng Liu, Zejun Li, Xiangzheng Fu

Briefings Bioinform., 2022

A DNN Operation Scheme Based on IPSO for UAV-Assisted MEC Networks.

Zhenqian Wang, Wei Yang, Bo Zhang, Linlin Zhuo, Huigui Rong

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021

MVTLR-HCFS: Density Peak Algorithm Based on Multi-View and Tensor Low Rank Expression.

Wei Yang, Linlin Zhuo, Jing Zeng, Yijun Zhao, Qiaojie Jiang, Dongliang Xie

IEEE Access, 2021

Predicting NPI Based on Graph Convolutional Neural Networks.

Linlin Zhuo, Wei Yang, Jing Jia, Huila Wang

Proceedings of the 21st International Conference on Communication Technology, 2021

2020

An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU.

Linlin Zhuo, Kenli Li, Hao Li, Jiwu Peng, Keqin Li

Neurocomputing, 2020

2019

HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy.

Linlin Zhuo, Kenli Li, Bo Liao, Hao Li, Xiaohui Wei, Keqin Li

IEEE Access, 2019