Shijia Liu

(he/him/his)

PhD Student

Shijia Liu
  • Natural language processing
  • Digital humanities
  • Natural language processing and information retrieval
  • MS in Computer Science, Johns Hopkins University
  • MS in Electrical Engineering, Stanford University
  • BS in Electrical Engineering, UCLA
  • BS in Physics, UCLA

Shijia Liu is a doctoral student at the Khoury College of Computer Sciences at Northeastern University, advised by David Smith. His doctoral research, which he began in 2019 and expects to complete in 2025, focuses on natural language processing and artificial intelligence.

Liu integrates natural language processing and brain-computer interface technology. In particular, he builds better language models to assist people with locked-in syndrome; he also processes scanned historical books. While working on his master’s degree at Johns Hopkins University, Liu worked on quantifying the idiosyncrasies of Chinese classifiers.

Liu is affiliated with the NULab for Texts, Maps, and Networks.

  • Detecting and Evaluating Local Text Reuse in Social Networks

    Citation: Shaobin Xu, David Smith, Abigail Mullen, and Ryan Cordell. Detecting and evaluating local text reuse in social networks. In ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media, 2014.

  • On the Idiosyncrasies of the Mandarin Chinese Classifier System

    Citation: Shijia Liu, Hongyuan Mei, Adina Williams and Ryan Cotterell. 2019. On the Idiosyncrasies of the Mandarin Chinese Classifier System. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies