I am a Ph.D. candidate in Computer Science at the University of Maryland. My research focuses on problems in natural language processing and machine learning. I am advised by Jordan Boyd-Graber
and belong to the CLIP
lab. I have also worked with Benjamin Van Durme from Johns Hopkins and Hsuan-Tien Lin from NTU.
I am interested in the intersection of transfer learning and interactive learning.
How can we adapt NLP models for new domains, languages, and tasks through human feedback?
How do we design algorithms and interfaces to easily bring a human into the loop?
Outside of computer science research, I am an avid mountain climber. I grew up climbing mountains with my mom and will continue to pursue this passion.
Fun fact: I have an Erdös number
- Michelle Yuan, Patrick Xia, Benjamin Van Durme, and Jordan Boyd-Graber. Adaptive Active Learning for Coreference Resolution. arXiv, 2021.
- Michelle Yuan, Hsuan-Tien Lin, and Jordan Boyd-Graber. Cold-start Active Learning through Self-Supervised Language Modeling. Empirical Methods of Natural Language Processing (long), 2020.
- Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, and Jordan Boyd-Graber. Interactive Refinement of Cross-Lingual Word Embeddings. Empirical Methods of Natural Language Processing (long), 2020.
- Michelle Yuan, Benjamin Van Durme, and Jordan Boyd-Graber. Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. Neural Information Processing Systems, 2018.
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College Park, MD, 20740
Website design: Michelle Yuan
Photography: Michelle Yuan