Scholar
Irene Li
Google Scholar ID: JuYPjCMAAAAJ
Project Lecturer (特任講師) at University of Tokyo
Citations & Impact
Citations
3,904
H-index
20
i10-index
24
Publications
20
Co-authors
112
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Label-interpretable Graph Convolutional Networks for Multi-label Text Classification' (NAACL 2022), 'Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution' (ACL, 2022), and more.
Research Experience
- Leads the Li-Lab team at the University of Tokyo, focusing on AI, ML, and NLP research. Previously worked in the LILY lab at Yale University.
Education
- Worked in the LILY lab at Yale University, with Prof. Dragomir Radev as her Ph.D. advisor. Passed her Ph.D. Defense on the topic of 'Neural Graph Transfer Learning in Natural Language Processing Tasks' in March 2022.
Background
- Research interests include data science, statistics, machine learning, deep learning, and AI applications. Currently a Project Lecturer at the Department of Technology Management for Innovation, University of Tokyo.
Miscellany
- Personal links include Google Scholar, Twitter, and LinkedIn. Open to contact for potential research projects.
