Junyi Li

Orcid: 0000-0001-8045-5264

Affiliations:
  • Harbin Institute of Technology (Shenzhen), School of Computer Science and Technology, Shenzhen, China
  • Harbin Institute of Technology (Shenzhen), Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Shenzhen, China


According to our database1, Junyi Li authored at least 35 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation.
CoRR, March, 2025

MKDTI: Predicting Drug-Target Interactions via Multiple Kernel Fusion on Graph Attention Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

E-MSNGO: Explainable Multi-species Protein Function Prediction Model Based on Aggregated Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
DIRMC: a database of immunotherapy-related molecular characteristics.
Database J. Biol. Databases Curation, January, 2024

circ2DGNN: circRNA-Disease Association Prediction via Transformer-Based Graph Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MKDTI: Predicting drug-target interactions via multiple kernel fusion on graph attention network.
CoRR, 2024

PF2PI: Protein Function Prediction Based on AlphaFold2 Information and Protein-Protein Interaction.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

SLGNNCT: Synthetic Lethality Prediction Based on Knowledge Graph for Different Cancers Types.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023
Struct2GO: protein function prediction based on graph pooling algorithm and AlphaFold2 structure information.
Bioinform., October, 2023

HNetGO: protein function prediction via heterogeneous network transformer.
Briefings Bioinform., September, 2023

SLGNN: synthetic lethality prediction in human cancers based on factor-aware knowledge graph neural network.
Bioinform., February, 2023

Prot2GO: Predicting GO Annotations From Protein Sequences and Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

ScCCL: Single-Cell Data Clustering Based on Self-Supervised Contrastive Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

NIEE: Modeling Edge Embeddings for Drug-Disease Association Prediction via Neighborhood Interactions.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Deepgmd: A Graph-Neural-Network-Based Method to Detect Gene Regulator Module.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Mixed-protocol multi-party computation framework towards complex computation tasks with malicious security.
Comput. Stand. Interfaces, 2022

OTUCD: Unsupervised GCN based metagenomics non-overlapping community detection.
Comput. Biol. Chem., 2022

Prediction of the disease causal genes based on heterogeneous network and multi-feature combination method.
Comput. Biol. Chem., 2022

NSAP: A Neighborhood Subgraph Aggregation Method for Drug-Disease Association Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
deGSM: Memory Scalable Construction Of Large Scale de Bruijn Graph.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering.
Comput. Biol. Chem., 2021

IIMLP: integrated information-entropy-based method for LncRNA prediction.
BMC Bioinform., 2021

Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction.
BMC Bioinform., 2021

ScSSC: Semi-supervised Single Cell Clustering Based on 2D Embedding.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Prognostic prediction of carcinoma by a differential-regulatory-network-embedded deep neural network.
Comput. Biol. Chem., 2020

HGAlinker: Drug-Disease Association Prediction Based on Attention Mechanism of Heterogeneous Graph.
Proceedings of the Intelligent Computing Theories and Application, 2020

GONET: A Deep Network to Annotate Proteins via Recurrent Convolution Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Integrated entropy-based approach for analyzing exons and introns in DNA sequences.
BMC Bioinform., 2019

rMETL: sensitive mobile element insertion detection with long read realignment.
Bioinform., 2019

Prediction of Human LncRNAs Based on Integrated Information Entropy Features.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
DeepDNA: a hybrid convolutional and recurrent neural network for compressing human mitochondrial genomes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
rMFilter: acceleration of long read-based structure variation calling by chimeric read filtering.
Bioinform., 2017

Differential regulation analysis reveals dysfunctional regulatory mechanism involving transcription factors and microRNAs in gastric carcinogenesis.
Artif. Intell. Medicine, 2017

2016
A novel integrated gene coexpression analysis approach reveals a prognostic three-transcription-factor signature for glioma molecular subtypes.
BMC Syst. Biol., 2016


  Loading...