Scholar

Yue Wu

Google Scholar ID: kSQ1mLYAAAAJ

Postdoctoral Research Fellow, Princeton University

Learning TheorySupervised LearningReinforcement Learning

Citations & Impact

All-time

Citations

1,325

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Research Experience

- Postdoctoral Research Fellow at AI^2, Princeton AI Lab, working closely with Prof. Mengdi Wang
- Internship at Meta Gen AI during summer 2024, working on LLM alignment and reward modeling

Education

- Ph.D. in Computer Science from University of California, Los Angeles (UCLA), advised by Prof. Quanquan Gu
- Bachelor of Science from EECS at Peking University, summa cum laude, advised by Prof. Liwei Wang

Background

- Research Interests: Various aspects of machine learning, particularly applying insights from reinforcement learning and control theory to LLM training and inference in the context of alignment and reasoning
- Professional Field: Artificial Intelligence, Machine Learning, Reinforcement Learning
- Brief Introduction: Postdoctoral Research Fellow at Princeton AI Lab, focusing on the principled understanding of large language models and their application to engineering, including design and control.

Co-authors

25 total