Yizhong Wang

PhD student
Paul G. Allen School of Computer Science & Engineering
University of Washington, Seattle, WA

Email: yizhongw [at] cs.washington.edu


Short Bio

I am a 1st-year PhD student in the Natural Language Processing group at the University of Washington, where I work with Hannaneh Hajishirzi and Noah Smith on Natural Lanugage Processing and Machine Learning. My current research focuses on neural networks' abilities to do more complex reasoning when understanding text, answering questions, and generating human language.

Prior to UW, I got a Master's degree in computer science from Peking University, where I was advised by Prof. Sujian Li. I completed my undergradute studies in computer science at Shanghai Jiao Tong University, where I was advised by Prof. Kenny Q. Zhu.


  • Sep. 5, 2019
  • I arrived in Seattle starting my PhD journey at UW.
  • Aug. 13, 2019
  • One paper collaborated with Eric Wallace was accepted to EMNLP 2019!
  • July. 4, 2019
  • I graduated from Peking University! Thanks for my advisor and all my labmates. Farewell!
  • Apr. 15, 2019
  • Super excited to announce that I'll be joining the UW NLP group as a CSE PhD student in Sep. 2019!
  • Feb. 22, 2019
  • Our DROP paper was accepted to NAACL 2019! [Details], [Matt's tweets].
  • Oct. 5, 2018
  • I started new internship at Allen Institute for Artificial Intelligence, working with Matt and Sameer!
  • Sep. 13, 2018
  • Our MRC system (nlnet) firstly achieves human parity w.r.t F1 on SQuAD 1.1 and also tops 2.0! [Leaderboad]

    Publications [Google Scholar]

    Do Neural NLP Models Know Numbers? Probing Numeracy in Embeddings

    Eric Wallace*, Yizhong Wang*, Sujian Li, Sameer Singh and Matt Gardner

    2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
    DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

    Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh and Matt Gardner

    2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)
    Toward Fast and Accurate Neural Discourse Segmentation

    Yizhong Wang, Sujian Li and Jingfeng Yang

    2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
    Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

    Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li and Haifeng Wang.

    The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)
    Bag-of-Words as Target for Neural Machine Translation

    Shuming Ma, Xu Sun, Yizhong Wang and Junyang Lin.

    The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)
    DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

    Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang.

    ArXiv Preprint:1711.05073
    Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification.

    Yizhong Wang and Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang.

    The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017).
    A Two-Stage Parsing Method for Text-level Discourse Analysis. (Outstanding Paper Award)

    Yizhong Wang, Sujian Li and Houfeng Wang.

    The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)
    Towards Non-projective High-Order Dependency Parser.

    Wenjing Fang, Kenny Q. Zhu, Yizhong Wang and Jia Tan.

    The 26th International Conference on Computational Linguistics (COLING 2016).

    * indicates equal contribution.


    Useful Resources

    Top-tier AI Conferences:

    NIPS, ICML, ICLR, IJCAI, AAAI

    Top-tier Data Mining Conferences:

    SIGKDD, ICDM, CIKM, ICDE, WWW

    Top-tier NLP Conferences:

    ACL, SIGIR, EMNLP, NAACL

    Good NLP Conferences:

    EACL, IJCNLP, COLING, CONLL

    Find more details in the Calendar of NLP-related Conferences and the AI Dealines.