Min Zeng

About Min Zeng

Min Zeng, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Central South University, specializes in the field of Bioinformatics, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

SGCL-LncLoc: an interpretable deep learning model for improving lncRNA subcellular localization prediction with supervised graph contrastive learning

A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches

Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model

Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer

GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation

CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features

DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning

Protein function prediction using graph neural network with multi-type biological knowledge

Min Zeng Information

University

Position

School of Computer Science and Engineering

Citations(all)

1410

Citations(since 2020)

1390

Cited By

340

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Min Zeng Skills & Research Interests

Bioinformatics

Machine Learning

Deep Learning

Top articles of Min Zeng

SGCL-LncLoc: an interpretable deep learning model for improving lncRNA subcellular localization prediction with supervised graph contrastive learning

Big Data Mining and Analytics

2024/3/6

A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches

2024/3/1

Min Zeng
Min Zeng

H-Index: 8

Min Li
Min Li

H-Index: 16

Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model

Methods

2024/2/1

Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer

bioRxiv

2024

GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation

Briefings in Bioinformatics

2023/1

CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features

Briefings in Bioinformatics

2022/12/2

DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning

Bioinformatics

2023/1/1

Protein function prediction using graph neural network with multi-type biological knowledge

2023/12/5

DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding

2023/12/5

LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism

Bioinformatics

2023/12/1

Computational methods to analyze RNA data for human diseases

Frontiers in Genetics

2023/8/22

Min Zeng
Min Zeng

H-Index: 8

Rui Yin
Rui Yin

H-Index: 3

Singularformer: learning to decompose self-attention to linearize the complexity of transformer

2023/8/19

ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences

Journal of biomedical informatics

2023/6/1

A review of enzyme design in catalytic stability by artificial intelligence

2023/5

Inferring disease-associated circrnas by multi-source aggregation based on heterogeneous graph neural network

Briefings in Bioinformatics

2023/1

LDAGSO: Predicting IncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques

2022/12/6

ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition

2022/12/6

A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods

Briefings in Bioinformatics

2022/9

DRCNNTLe: A deep recurrent convolutional neural network with transfer learning through pre-trained embeddings for automated ICD coding

Methods

2022/9/1

A pseudo label-wise attention network for automatic ICD coding

IEEE Journal of Biomedical and Health Informatics

2022/7/22

See List of Professors in Min Zeng University(Central South University)

Co-Authors

academic-engine