Linlin Zhuo

According to our database, Linlin Zhuo authored at least 25 papers between 2019 and 2025.

Collaborative distances:

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

2025

A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships.

Shaopeng Liu, Wanlu Hu, Chun-Chun Wang, Linlin Zhuo, Xu Lu

BMC Medical Informatics Decis. Mak., December, 2025

CardiOT: Towards Interpretable Drug Cardiotoxicity Prediction Using Optimal Transport and Kolmogorov-Arnold Networks.

Xinyu Zhang, Hao Wang, Zhenya Du, Linlin Zhuo, Xiangzheng Fu, Dongsheng Cao, Boqia Xie, Keqin Li

IEEE J. Biomed. Health Informatics, March, 2025

AEGNN-M:A 3D Graph-Spatial Co-Representation Model for Molecular Property Prediction.

Lijun Cai, Yuling He, Xiangzheng Fu, Linlin Zhuo, Quan Zou, Xiaojun Yao

IEEE J. Biomed. Health Informatics, March, 2025

GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation.

Shengxiang Wang, Ge Li, Min Gao, Linlin Zhuo, Mingzhe Liu, Zhizhong Ma, Wei Zhao, Xiangzheng Fu

npj Digit. Medicine, 2025

MultiCTox: Empowering Accurate Cardiotoxicity Prediction through Adaptive Multimodal Learning.

Lin Feng, Xiangzheng Fu, Zhenya Du, Yuting Guo, Linlin Zhuo, Yan Yang, Dong-Sheng Cao, Xiaojun Yao

J. Chem. Inf. Model., 2025

SGPS-IMR: Efficiently inferring microbial resistance using self-supervised graph perturbation strategy.

Wentao Wang, Linlin Zhuo, Zhecheng Zhou, Xiangzheng Fu, Quan Zou

Expert Syst. Appl., 2025

2024

ECD-CDGI: An efficient energy-constrained diffusion model for cancer driver gene identification.

Tao Wang, Linlin Zhuo, Yifan Chen, Xiangzheng Fu, Xiangxiang Zeng, Quan Zou

PLoS Comput. Biol., 2024

An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.

Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao

J. Chem. Inf. Model., 2024

ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph.

Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao

J. Chem. Inf. Model., 2024

Multi-source data integration for explainable miRNA-driven drug discovery.

Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou

Future Gener. Comput. Syst., 2024

Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning.

Jinhang Wei, Zhen Li, Linlin Zhuo, Xiangzheng Fu, Mingjing Wang, Keqin Li, Chengshui Chen

Comput. Biol. Medicine, 2024

RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion.

Shu-Hao Wang, Yan Zhao, Chun-Chun Wang, Fei Chu, Lian-Ying Miao, Li Zhang, Linlin Zhuo, Xing Chen

Comput. Biol. Medicine, 2024

Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction.

Xinqian Ma, Zhen Li, Zhenya Du, Yan Xu, Yifan Chen, Linlin Zhuo, Xiangzheng Fu, Ruijun Liu

Comput. Biol. Medicine, 2024

Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs.

Zhecheng Zhou, Linlin Zhuo, Xiangzheng Fu, Quan Zou

Briefings Bioinform., 2024

Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization.

Rui Wang, Tao Wang, Linlin Zhuo, Jinhang Wei, Xiangzheng Fu, Quan Zou, Xiaojun Yao

Briefings Bioinform., 2024

MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning.

Tao Wang, Zhen Li, Linlin Zhuo, Yifan Chen, Xiangzheng Fu, Quan Zou

Briefings Bioinform., 2024

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