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D-Index & Metrics

Computer Science

D-Index
46
Citations
10126
World Ranking
6773
National Ranking
2983

Overview

Hong Yu is a researcher affiliated with the University of Massachusetts Lowell in the United States. Their work primarily focuses on the field of Computer Science, with particular emphasis on Artificial Intelligence. Their scholarly output spans several subfields, reflecting a multidisciplinary approach with applications in healthcare and social sciences.

The main areas of study in their research include:

  • Artificial Intelligence
  • Molecular Biology
  • General Health Professions
  • Computer Vision and Pattern Recognition
  • Social Psychology

Key topics addressed by Hong Yu are diverse, with a strong orientation towards applied machine learning and text analysis within biomedical and mental health contexts. These topics include:

  • Topic Modeling
  • Machine Learning in Healthcare
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Biomedical Text Mining and Ontologies
  • Mental Health via Writing
  • Suicide and Self-Harm Studies

Hong Yu has published extensively in various venues, frequently contributing to forums that focus on computational methods and healthcare informatics. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Medical Internet Research
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • JMIR Medical Informatics
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Recent representative papers illustrate the range and application of their research efforts. These include:

  • "ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network" (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Mental-LLM" (2024, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies)
  • "TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records" (2023, Nature Communications)
  • "Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data" (2023, arXiv (Cornell University))
  • "Post-Traumatic Stress Disorder is Associated with further Increased Parkinson's Disease Risk in Veterans with Traumatic Brain Injury" (2020, Annals of Neurology)

Hong Yu collaborates with several frequent co-authors, indicating active engagement in research networks that combine expertise across related domains. Notable collaborators include:

  • Avijit Mitra
  • Weisong Liu
  • Zonghai Yao
  • Zhichao Yang
  • Dan R. Berlowitz

Best Publications

  • Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences

    Hong Yu;Vasileios Hatzivassiloglou

  • GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles.

    Carol Friedman;Pauline Kra;Hong Yu;Michael Krauthammer

  • Meta networks

    Tsendsuren Munkhdalai;Hong Yu

  • Frontiers of biomedical text mining: current progress

    Pierre Zweigenbaum;Dina Demner-Fushman;Hong Yu;Kevin Bretonnel Cohen

  • GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data

    Andrey Rzhetsky;Ivan Iossifov;Tomohiro Koike;Michael Krauthammer

  • Bidirectional RNN for Medical Event Detection in Electronic Health Records

    Abhyuday N Jagannatha;Hong Yu

  • Automatic Extraction of Opinion Propositions and their Holders

    Steven Bethard;Hong Yu;Ashley Thornton;Vasileios Hatzivassiloglou

  • AskHERMES: An online question answering system for complex clinical questions

    Yonggang Cao;Feifan Liu;Pippa Simpson;Lamont D. Antieau

  • Structured prediction models for RNN based sequence labeling in clinical text.

    Abhyuday N Jagannatha;Hong Yu

  • Mapping abbreviations to full forms in biomedical articles.

    Holly Yu;George Hripcsak;Carol Friedman

  • ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

    Fei Li;Hong Yu

  • Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0)

    Abhyuday Jagannatha;Feifan Liu;Weisong Liu;Hong Yu

  • Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)-Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study

    Fei Li;Fei Li;Fei Li;Yonghao Jin;Weisong Liu;Weisong Liu;Weisong Liu;Bhanu Pratap Singh Rawat

  • Extracting synonymous gene and protein terms from biological literature.

    Hong Yu;Eugene Agichtein

  • Neural Semantic Encoders

    Tsendsuren Munkhdalai;Hong Yu

  • Beyond information retrieval--medical question answering.

    Minsuk Lee;James J. Cimino;Hai Ran Zhu;Carl L. Sable

  • Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion

    Shashank Agarwal;Hong Yu

  • Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians

    Hong Yu;Minsuk Lee;David Kaufman;John Ely

  • CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.

    Yongqun He;Hong Yu;Edison Ong;Yang Wang;Yang Wang

  • Biomedical negation scope detection with conditional random fields.

    Shashank Agarwal;Hong Yu

  • The biomedical discourse relation bank.

    Rashmi Prasad;Susan McRoy;Nadya Frid;Aravind K. Joshi

Frequent Co-Authors

Vasileios Hatzivassiloglou
Vasileios Hatzivassiloglou Columbia University
Carol Friedman
Carol Friedman Columbia University
James J. Cimino
James J. Cimino University of Alabama at Birmingham
W. John Wilbur
W. John Wilbur National Institutes of Health
Steven Bethard
Steven Bethard University of Arizona
Dan Jurafsky
Dan Jurafsky Stanford University
George Hripcsak
George Hripcsak Columbia University
Pierre Zweigenbaum
Pierre Zweigenbaum University of Paris-Saclay
Dina Demner-Fushman
Dina Demner-Fushman National Institutes of Health
Kathleen M. Mazor
Kathleen M. Mazor University of Massachusetts Chan Medical School

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