Qingyu Chen
Orcid: 0000-0002-6036-1516Affiliations:
- National Institutes of Health, USA
- University of Melbourne, School of Computing and Information Systems, Australia (former)
According to our database1,
Qingyu Chen
authored at least 66 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
GeneGPT: augmenting large language models with domain tools for improved access to biomedical information.
Bioinform., February, 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.
CoRR, 2024
AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning.
CoRR, 2024
CoRR, 2024
2023
BioREx: Improving biomedical relation extraction by leveraging heterogeneous datasets.
J. Biomed. Informatics, October, 2023
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval.
Bioinform., October, 2023
AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.
Bioinform., May, 2023
Comprehensively identifying Long Covid articles with human-in-the-loop machine learning.
Patterns, January, 2023
Nucleic Acids Res., January, 2023
CoRR, 2023
Integrating UMLS Knowledge into Large Language Models for Medical Question Answering.
CoRR, 2023
BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval.
CoRR, 2023
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health.
CoRR, 2023
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations.
CoRR, 2023
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning.
CoRR, 2023
CoRR, 2023
Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
2022
LitMC-BERT: Transformer-Based Multi-Label Classification of Biomedical Literature With An Application on COVID-19 Literature Curation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Pattern Recognit., 2022
Predicting myocardial infarction through retinal scans and minimal personal information.
Nat. Mach. Intell., 2022
Comprehensive identification of Long Covid articles with human-in-the-loop machine learning.
CoRR, 2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
CoRR, 2022
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis.
CoRR, 2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
Database J. Biol. Databases Curation, 2022
Assigning species information to corresponding genes by a sequence labeling framework.
Database J. Biol. Databases Curation, 2022
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations.
Proceedings of the AMIA 2022, 2022
Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows.
Proceedings of the AMIA 2022, 2022
2021
LitSuggest: a web-based system for literature recommendation and curation using machine learning.
Nucleic Acids Res., 2021
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.
J. Am. Medical Informatics Assoc., 2021
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Long Covid: A Comprehensive Collection of Articles Regarding Long-Haul Symptoms in COVID-19 Survivors.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Deep learning detection of reticular pseudodrusen using multi-modal, multi-task, and multi-attention mechanisms: towards automated and accessible classification of age-related macular degeneration.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
AM2BERT: attention guided and regularized transformer-based multi-label classification model for COVID-19 literature curation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.
BMC Medical Informatics Decis. Mak., April, 2020
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.
PLoS Comput. Biol., 2020
npj Digit. Medicine, 2020
J. Am. Medical Informatics Assoc., 2020
Privacy concerns of the Australian My Health Record: Implications for other large-scale opt-out personal health records.
Inf. Process. Manag., 2020
Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases.
Genom. Proteom. Bioinform., 2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.
CoRR, 2020
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP).
CoRR, 2020
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view.
CoRR, 2020
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020
Proceedings of the AMIA 2020, 2020
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
Nucleic Acids Res., 2019
J. Comput. Biol., 2019
J. Am. Medical Informatics Assoc., 2019
A deep learning approach for automated detection of geographic atrophy from color fundus photographs.
CoRR, 2019
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.
Database J. Biol. Databases Curation, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs.
Proceedings of the AMIA 2019, 2019
2018
Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases.
ACM J. Data Inf. Qual., 2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration.
CoRR, 2018
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs.
CoRR, 2018
BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.
Database J. Biol. Databases Curation, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
PhD thesis, 2017
Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study.
Database J. Biol. Databases Curation, 2017
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Evaluation of a Machine Learning Duplicate Detection Method for Bioinformatics Databases.
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015