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Linlin Zhuo

Orcid: 0000-0002-6586-0533

According to our database¹, Linlin Zhuo authored at least 34 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

BloodPatrol: Revolutionizing Blood Cancer Diagnosis - Advanced Real-Time Detection Leveraging Deep Learning & Cloud Technologies.

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Xiangxiang Zeng

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IEEE J. Biomed. Health Informatics, June, 2026

DrugKANs: A Paradigm to Enhance Drug-Target Interaction Prediction With KANs.

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IEEE J. Biomed. Health Informatics, June, 2026

A label masked autoencoder for image-guided segmentation label completion.

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Patterns, 2026

Intercellular Communication Guides the Prediction of Intracellular Gene Regulatory Relationships.

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J. Chem. Inf. Model., 2026

2025

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

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BMC Medical Informatics Decis. Mak., December, 2025

Enhancing Herbal Medicine-Drug Interaction Prediction Using Large Language Models.

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IEEE J. Biomed. Health Informatics, October, 2025

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

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IEEE J. Biomed. Health Informatics, March, 2025

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

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IEEE J. Biomed. Health Informatics, March, 2025

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

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Shengxiang Wang

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npj Digit. Medicine, 2025

MicroEnvPPI: Microenvironment-Aware Optimization Enables Generalizable Protein-Protein Interaction Prediction.

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J. Chem. Inf. Model., 2025

MultiCTox: Empowering Accurate Cardiotoxicity Prediction through Adaptive Multimodal Learning.

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J. Chem. Inf. Model., 2025

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

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Expert Syst. Appl., 2025

Enhancing Medical Image Segmentation with Fvm-Unet: a Hybrid Cnn-Mamba Approach.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

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

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Briefings Bioinform., May, 2024

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

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Briefings Bioinform., March, 2024

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

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Briefings Bioinform., January, 2024

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

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Xiangxiang Zeng

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PLoS Comput. Biol., 2024

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

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J. Chem. Inf. Model., 2024

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

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J. Chem. Inf. Model., 2024

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

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Future Gener. Comput. Syst., 2024

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

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Comput. Biol. Medicine, 2024

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

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Comput. Biol. Medicine, 2024

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

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Comput. Biol. Medicine, 2024

Revisiting drug-protein interaction prediction: a novel global-local perspective.

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Bioinform., 2024

GraphADT: empowering interpretable predictions of acute dermal toxicity with multi-view graph pooling and structure remapping.

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Bioinform., 2024

2023

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

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Comput. Biol. Medicine, September, 2023

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

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Briefings Bioinform., July, 2023

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

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Comput. Biol. Medicine, May, 2023

2022

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

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Briefings Bioinform., 2022

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

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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.

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IEEE Access, 2021

Predicting NPI Based on Graph Convolutional Neural Networks.

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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.

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Neurocomputing, 2020

2019

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

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IEEE Access, 2019

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