Hi, I’m Shuyan, a graduate student of Language Technology Institute in the School of Computer Science at Carnegie Mellon University. I am fortunately advised by Professor Graham Neubig. Before that, I received my bachelor degree in Computer Science and Technology from Harbin Institute of Technology.

My research interests lie in deep learning for NLP, and I am particularly interested in the intersection between natural language understanding and knowledge representation/reasoning.


  • Soft Gazetteers for Low-resource Named Entity Recognition
    Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime Carbonell
    ACL 2020 (short paper). [To appear]
  • Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
    Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime Carbonell, Graham Neubig
    TACL 2020. [pdf] [code]
  • Towards Zero-resource Cross-lingual Entity Linking
    Shuyan Zhou, Shruti Rijhwani, Graham Neubig
    EMNLP DeepLo Workshop 2019. [pdf] [poster]
  • Improving Robustness of Neural Machine Translation with Multi-task Learning
    Shuyan Zhou, Xiangkai Zeng, Yingqi Zhou, Antonios Anastasopoulos, Graham Neubig
    WMT 2019. [pdf] [code]
  • Aggregated Semantic Matching for Short Text Entity Linking
    Feng Nie, Shuyan Zhou, Jing Liu, Jinpeng Wang, Chin-Yew Lin, Rong Pan
    CoNLL 2018. [pdf]


  • 2018.08 - Present, Master of Language Technology, Carnegie Mellon University
    Advisor: Graham Neubig
  • 2014.09 - 2018.06, B.Eng of Computer Science and Technology, Harbin Institute of Technology
  • 2017.07 - 2018.06, Research Intern, Knowledge Computing Group, Microsoft Research Asia
    Advisor: Chin-Yew Lin