Qiao Jin


Tsinghua Univeristy · Beijing, China 100084 · (+86)188-1096-5683 · qiaojin.andy@gmail.com

Hello. I am Qiao Jin, an M.D. candidate from Tsinghua University. I am interested in applying NLP techniques to biomedicine.

Currently, I am an intern doctor at the Peking Union Medical College Hospital (the best hospital in China). I also work with Prof. Sheng Yu from Tsinghua University and colleagues from Alibaba DAMO Academy on a part-time basis.

Previously, I spent two wonderful years at the Department of Biomedical Informatics at the University of Pittsburgh as a visiting research scholar. I was fortunate to be supervised by Prof. Xinghua Lu from Pitt, as well as Prof. William W. Cohen and Dr. Bhuwan Dhingra from CMU. My research focused on biomedical NLP, mainly using the PubMed corpus for tasks like document classification (AttentionMeSH), disambiguation (DECBAE), pre-training language models (BioELMo) and question answering (PubMedQA).

Last modified: Mar, 2022


Tsinghua University

B.S. & M.D.
Clinical Medicine

Overall GPA 91.2/100, ranking 2/32

I am at the 8-year straight MD program of Tsinghua University, where students spend the first 3 years at Tsinghua studying basic sciences, the middle 2 years at Pitt doing biomedical research and the final 3 years at PUMCH doing clinical intership.

2014 - 2022 (expected)

Selected Papers

  1. PMC-Patients: A Large-scale Dataset of Patient Notes and Relations Extracted from Case Reports in PubMed Central [arXiv] [dataset]
    Zhengyun Zhao, Qiao Jin, Sheng Yu
    Preprint, 2022
  2. Biomedical Question Answering: A Survey of Approaches and Challenges [arXiv] [datasets]
    Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu
    ACM Computing Surveys, 2022
  3. Predicting Clinical Trial Results Using Implicit Evidence Integration [anthology] [arXiv] [code]
    Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang
    EMNLP, 2020 (best clinical NLP paper of 2020 awarded by the IMIA Yearbook)
  4. PubMedQA: A Dataset for Biomedical Research Question Answering [anthology] [arXiv] [pdf] [code] [homepage]
    Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen and Xinghua Lu
    EMNLP, 2019
  5. Deep Contextualized Biomedical Abbreviation Expansion [anthology] [arXiv] [pdf]
    Qiao Jin, Jinling Liu and Xinghua Lu
    ACL BioNLP, 2019
  6. Probing Biomedical Embeddings from Language Models [anthology] [arXiv] [pdf] [code]
    Qiao Jin, Bhuwan Dhingra, William W. Cohen and Xinghua Lu
    NAACL RepEval, 2019
  7. AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer [anthology] [pdf] [code]
    Qiao Jin, Bhuwan Dhingra, William W. Cohen and Xinghua Lu
    EMNLP BioASQ, 2018
  8. Neural Models for Reasoning over Multiple Mentions using Coreference [anthology] [arXiv] [pdf] [code]
    Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen and Ruslan Salakhutdinov
    NAACL, 2018

Selected Awards


  • National Scholarship - Ministry of Education of China (2015)
  • Xuetang Scholarship - Tsinghua University (2016, 17)
  • Tsinghua & Wuliangye Technology Jiujiu Scholarship (2016)
  • Tsinghua & Dalian Yejian Scholarship (2017, 18, 19)
  • Scholarship for Comprehensive Excellence - Tsinghua University (2016, 17)
  • Scholarship for Academic Excellence - Tsinghua University (2015, 16, 18, 19)
  • Scholarship for Science and Technology Innovation - Tsinghua University (2016, 20)


  • Gold Medal of Chinese Chemistry Olympiad - Chinese Chemical Society (2013)
  • Gold Medal of International Genetically Engineered Machine (iGEM) Competition - iGEM Foundation (2015)
  • First place at BioBank Disease AI Challenge ($12,500) - Partners Healthcare (2019)
  • First place at TREC Precision Medicine Track (Phase 2) - TREC (2020)
  • First place at TREC Clinical Trials Track (1/8 metric) - TREC (2021)

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