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Yangfeng Ji
I am an Associate Professor (with tenure) in the Department of Computer Science @ UVa, where I lead the Information and Language Processing (ILP) lab.
I am interested in building machine learning models for text understanding and generation.
From Aug. 2016 to Jul. 2018, I was a Postdoctoral Researcher in the Paul G. Allen School of Computer Science & Engineering @ UW, where I worked with Noah Smith.
I finished my Ph.D. in 2016 from the Computational Linguistics Lab at Georgia Tech.
My Ph.D. advisor was Jacob Eisenstein.
About the UVa Information and Language Processing (ILP) lab, please visit the lab webpage.
I maintain a blog with my students on our lab webpage, and also write about AI on Medium.
Updates
- May 2023: My first Ph.D. student Hanjie Chen will join the Computer Science department at Rice University as a tenure-track assistant professor in 2024, after a one-year postdoc at JHU
- Apr. 2023: A recent discussion about how LLMs impact NLP research on IEEE Spectrum
- Oct. 2022: Received an Amazon Research Award
- Dec. 2021: I will co-teach the course Interpretable Machine Learning with my student Hanjie Chen
- Dec. 2021: Our tutorial on "Contrastive Data and Learning for Natural Language Processing" is accepted to NAACL 2022
- Oct. 2021: Organizing the UVa AI and Machine Learning seminar
- Sept. 2021: Organizing the machine learning reading group
- Jun. 2021: Invited talk @ WalmartLab
- Apr. 2021: Area chair, NLPCC 2021
- Oct. 2020: Area chair, ACL-IJCNLP 2021
- Oct. 2020: Area chair, NAACL 2021