Duolin Wang
Orcid: 0000-0002-4518-8938
According to our database1,
Duolin Wang
authored at least 28 papers
between 2016 and 2024.
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Bibliography
2024
Eliciting knowledge from language models with automatically generated continuous prompts.
Expert Syst. Appl., 2024
Prompt-Based Learning on Large Protein Language Models Improves Signal Peptide Prediction.
Proceedings of the Research in Computational Molecular Biology, 2024
2023
Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images.
Remote. Sens., July, 2023
MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels.
Nucleic Acids Res., July, 2023
Nat. Mac. Intell., April, 2023
Comput. Vis. Media, 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action.
CoRR, 2023
2022
Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images.
Remote. Sens., 2022
RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation.
Nucleic Acids Res., 2022
Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2022
Evaluating template-based and template-free protein-peptide complex structure prediction using AlphaFold2.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers.
Nucleic Acids Res., 2021
2020
MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization.
Nucleic Acids Res., 2020
A dynamic programing approach to integrate gene expression data and network information for pathway model generation.
Bioinform., 2020
2019
Bioinform., 2019
DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Extracting Molecular Entities and Their Interactions from Pathway Figures Based on Deep Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Protein Ubiquitylation and Sumoylation Site Prediction Based on Ensemble and Transfer Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
An Informatics Framework for Knowledge Representation and Reconciliation of Disease Pathways.
Proceedings of the AMIA 2019, 2019
2018
Integrating Gene Expression Data and Pathway Knowledge for In Silico Hypothesis Generation with IMPRes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.
Bioinform., 2017
MusiteDeep: A deep-learning framework for protein post-translational modification site prediction.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016