publications

For a more up-to-date list, please also see my google scholar page.

(*=equal contribution)

2021

  1. Thesis
    Deep Understanding and Generation of Medical Text and Beyond
    Yuhao Zhang
    Stanford University PhD Thesis, 2021.
  2. BioNLP
    Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain
    Asma Ben Abacha, Yassine M’rabet, Yuhao Zhang, Chaitanya Shivade, Curtis Langlotz, and Dina Demner-Fushman
    In Proceedings of the 20th Workshop on Biomedical Language Processing (BioNLP), 2021.
  3. JAMIA
    Biomedical and Clinical English Model Packages for the Stanza Python NLP Library
    Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D Manning, and Curtis P. Langlotz
    Journal of the American Medical Informatics Association, 2021.
  4. NAACL
    Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
    Yasuhide Miura, Yuhao Zhang, Emily Tsai, Curtis Langlotz, and Dan Jurafsky
    In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
  5. EACL
    Do Syntax Trees Help Pre-trained Transformers Extract Information?
    Devendra Sachan, Yuhao Zhang, Peng Qi, and William L Hamilton
    In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.

2020

  1. arXiv
    Contrastive Learning of Medical Visual Representations from Paired Images and Text
    Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D Manning, and Curtis P Langlotz
    arXiv preprint arXiv:2010.00747, 2020.
  2. EMNLP Findings
    Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
    Peng Qi, Yuhao Zhang, and Christopher D Manning
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 2020.
  3. ACL
    Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
    Peng Qi*, Yuhao Zhang*, Yuhui Zhang, Jason Bolton, and Christopher D Manning
    In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, 2020.
  4. ACL
    Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
    Yuhao Zhang, Derek Merck, Emily Tsai, Christopher D Manning, and Curtis Langlotz
    In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.

2019

  1. AAAI
    Multi-perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
    Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, and Jimmy Lin
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
  2. Bioinformatics
    Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning
    Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, and Jiawei Han
    Bioinformatics, 2019.

2018

  1. EMNLP-LOUHI
    Learning to Summarize Radiology Findings
    Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D Manning, and Curtis P Langlotz
    In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis (EMNLP-LOUHI), 2018.
  2. EMNLP
    Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
    Yuhao Zhang*, Peng Qi*, and Christopher D Manning
    In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
  3. EMNLP-CoNLL
    Universal Dependency Parsing from Scratch
    Peng Qi*, Timothy Dozat*, Yuhao Zhang*, and Christopher D Manning
    In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2018.
  4. JAMIA
    Expanding a Radiology Lexicon Using Contextual Patterns in Radiology Reports
    Bethany Percha, Yuhao Zhang, Selen Bozkurt, Daniel Rubin, Russ B Altman, and Curtis P Langlotz
    Journal of the American Medical Informatics Association, 2018.

2017

  1. EMNLP
    Position-aware Attention and Supervised Data Improve Slot Filling
    Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D Manning
    In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
  2. TAC
    Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
    Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, and Christopher D Manning
    In Text Analysis Conference, 2017.

2016

  1. TAC
    Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.
    Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, and Christopher D Manning
    In Text Analysis Conference, 2016.

2015

  1. CHI
    Helping Users Bootstrap Ontologies: An Empirical Investigation
    Yuhao Zhang, Tania Tudorache, Matthew Horridge, and Mark A Musen
    In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI), 2015.