Sheng Yu
Orcid: 0000-0002-6347-0507Affiliations:
- Tsinghua University, Center for Statistical Science / Department of Industrial Engineering, Beijing, China
- Harvard Medical School, Boston, MA, USA (2013 - 2015)
- Brigham and Women's Hospital, Boston, MA, USA (2012 - 2015)
- George Washington University, DC, USA (PhD 2012)
According to our database1,
Sheng Yu
authored at least 43 papers
between 2013 and 2024.
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Bibliography
2024
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction.
CoRR, 2024
2023
Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis.
BMC Medical Informatics Decis. Mak., December, 2023
J. Biomed. Informatics, January, 2023
J. Biomed. Informatics, 2023
ACM Comput. Surv., 2023
High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models.
CoRR, 2023
CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs.
CoRR, 2023
2022
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.
J. Biomed. Informatics, 2022
CoRR, 2022
PMC-Patients: A Large-scale Dataset of Patient Notes and Relations Extracted from Case Reports in PubMed Central.
CoRR, 2022
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification.
CoRR, 2021
CoRR, 2021
2020
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches.
BMC Medical Informatics Decis. Mak., 2020
Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition.
J. Biomed. Informatics, 2020
J. Biomed. Informatics, 2020
Developing an automated mechanism to identify medical articles from wikipedia for knowledge extraction.
Int. J. Medical Informatics, 2020
Int. J. Medical Informatics, 2020
CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
CoRR, 2020
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records.
CoRR, 2020
2019
J. Biomed. Informatics, 2019
J. Am. Medical Informatics Assoc., 2019
Long distance entity relation extraction with article structure embedding and applied to mining medical knowledge.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
2018
PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies.
J. Am. Medical Informatics Assoc., 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.
Proceedings of the AMIA 2018, 2018
2017
J. Am. Medical Informatics Assoc., 2017
Proceedings of the AMIA 2017, 2017
2015
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.
J. Am. Medical Informatics Assoc., 2015
Proceedings of the AMIA 2015, 2015
Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records.
Proceedings of the AMIA 2015, 2015
2014
Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing.
J. Biomed. Informatics, 2014
2013