Min Zeng
ScholarGPS® ID: 16600622683763
Affiliation History
Discipline
Computer Science
Top Specialties
Bioinformatics | Deep Learning | Computational Biology | Matrix Decomposition | Neural Network
Metrics Summary
Publication Count
42
Predicted Citations
1,264
Predicted h-index
20
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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Methods, volume 222 (2024). |
A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches (journal article) Briefings in Bioinformatics, volume 25, issue 2 (2024). |
Protein function prediction using graph neural network with multi-type biological knowledge (conference) 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Istanbul, Turkiye |
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Istanbul, Turkiye |
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer (conference) Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} (2023) Macau, SAR China |
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences (journal article) Journal of Biomedical Informatics, volume 142 (2023). |
Briefings in Bioinformatics, volume 24, issue 3 (2023). |
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms (journal article) IEEE/ACM Transactions on Computational Biology and Bioinformatics, volume 20, issue 2, pages 833-842 (2023). |
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features (journal article) Briefings in Bioinformatics, volume 24, issue 1 (2023). |
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network (journal article) Briefings in Bioinformatics, volume 24, issue 1 (2023). |
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation (journal article) Briefings in Bioinformatics, volume 24, issue 1 (2023). |
Frontiers Media SA (2023) |
ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition (conference) 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022) Las Vegas, NV, USA |
LDAGSO: Predicting IncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques (conference) 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022) Las Vegas, NV, USA |
A Pseudo Label-Wise Attention Network for Automatic ICD Coding (journal article) IEEE Journal of Biomedical and Health Informatics, volume 26, issue 10, pages 5201-5212 (2022). |
DRCNNTLe: A deep recurrent convolutional neural network with transfer learning through pre-trained embeddings for automated ICD coding (journal article) Methods, volume 205 (2022). |
BridgeDPI: a novel Graph Neural Network for predicting drug–protein interactions (journal article) Bioinformatics, volume 38, issue 9, pages 2571-2578 (2022). |
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding (journal article) Briefings in Bioinformatics, volume 23, issue 1 (2022). |
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding (journal article) Neurocomputing, volume 469 (2022). |
Improving human essential protein prediction using only protein sequences via ensemble learning (conference) 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021) Houston, TX, USA |