Yangjun Ruan
Ph.D. Candidate, Computer Science
Machine Learning Group
University of Toronto & Vector Institute
Email: yjruan [at] cs [dot] toronto [dot] edu
I am a Ph.D. student in Computer Science at University of Toronto, where I am fortunate to be advised by Chris Maddison and Jimmy Ba. Currently, I am also a visiting scholar at Stanford University, hosted by Tatsunori Hashimoto.
Previously, I was a student researcher at Google Research and a research intern at Microsoft Research. In summer 2019, I was a visiting student at UCLA, where I worked with Cho-Jui Hsieh. I obtained my Bachelor degree in Information Engineering from Zhejiang University.
Research
My goal is to create intelligent agents that excel in capability while ensuring their safety. My current research focuses on evaluating, enhancing, and aligning better semi-autonomous agents built upon language models, especially as they approach or exceed super-human performance levels. More broadly, I am interested in understanding and improving the scalability, efficiency, and robustness of foundational models.
Collaboration opportunities: I am always open to discussion on research ideas and collaboration. If you are a student at UofT with interests in language models, AI safety, representation learning, or other related topics, please do not hesitate to reach out to me!
Selected Publications [Full List]
* below denotes equal contribution
Services
- Conference reviewer: NeurIPS (2020-), ICLR (2021-), ICML (2021-)
- Workshop reviewer: NeurIPS Workshop on DGMs Applications (2021), ICML Workshop on Pretraining (2022)
Selected Awards & Honors
- Ontario Graduate Scholarship, 2023
- DiDi Gruduate Student Award, 2021
- CHU Kochen Scholarship (highest honor at Zhejiang University), 2019.
- Cross-disciplinary Scholars in Science and Technology (CSST), UCLA, 2019.
- National Scholarship (top 1.5%), 2017, 2018, 2019.
- Meritorious Winner, Interdisciplinary Contest in Modeling (ICM), 2018.