Yue Guo

yue/profile.jpg

Ph.D student @UW. Preivously: AI2/Google/ MSR/JHU.

I am a final year Ph.D. student in Biomedical and Health Informatics Department (BIME) at the University of Washignton, advised by Prof. Trevor Cohen.

I was a postdoctoral researcher at Johns Hopkins University School of Medicine, with Todd McNutt. I received my Master degree from the Johns Hopkins Bloomberg School of Public Health, majoring in cancer Epidemiology and M.B.B.S degree (equivalent to M.D.) from Capital Medical University.

My research interest broadly spans natural language processing in medical domain. My current interests primarily include enhancing the accessibility and personalization of health information by NLP methodologies.

I am in the job market and looking for faculty positions!

news

Nov 15, 2023 My AI2 intern project work released :sparkles: Personalized Jargon Identification for Enhanced Interdisciplinary Communication
Nov 14, 2023 Presented “Retrieval Augmentation of Large Language Models for Lay Language Generation” at AMIA :smile:

selected publications

  1. Personalized Jargon Identification for Enhanced Interdisciplinary Communication
    Yue Guo, Joseph Chee Chang, Maria Antoniak, Erin Bransom, Trevor Cohen, Lucy Lu Wang, and Tal August
    In , 2023
    PDF Code
  2. APPLS: A Meta-evaluation Testbed for Plain Language Summarization
    Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, and Lucy Lu Wang
    arXiv preprint arXiv:2305.14341, 2023
    PDF
  3. Cells: A parallel corpus for biomedical lay language generation
    Yue Guo, Wei Qiu, Gondy Leroy, Sheng Wang, and Trevor Cohen
    arXiv preprint arXiv:2211.03818, 2022
    PDF Code
  4. Automated lay language summarization of biomedical scientific reviews
    Yue Guo, Wei Qiu, Yizhong Wang, and Trevor Cohen
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2021
    PDF Code
  5. Crossing the “Cookie Theft” corpus chasm: applying what BERT learns from outside data to the ADReSS challenge dementia detection task
    Yue Guo, Changye Li, Carol Roan, Serguei Pakhomov, and Trevor Cohen
    Frontiers in Computer Science, 2021
    PDF