Scholar
Rui Lu (卢睿)
Google Scholar ID: upMvIv4AAAAJ
Institute for Interdisciplinary Information Sciences, Tsinghua
Citations & Impact
Citations
1,106
H-index
10
i10-index
10
Publications
17
Co-authors
7
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Project 'How Far is Video Generation from World Model?' released and achieved more than 500k views on X(Twitter); Paper 'Efficienttrain: Exploring generalized curriculum learning for training visual backbones' accepted by ICCV 2023; Paper 'Provable General Function Class Representation Learning in Multitask Bandits and MDPs' accepted as Spotlight in NeuRIPS 2022.
Research Experience
- Was a visiting student at the Berkeley BAIR Center in 2019.
Education
- Fourth-year Ph.D. student at the Department of Automation at Tsinghua University, advised by Prof. Gao Huang; Bachelor’s degree from Yao Class, Institute of Interdisciplinary Information Sciences, undergraduate thesis advisor was Yang Yuan; Visiting student at Berkeley BAIR Center in 2019 under the supervision of Jitendra Malik.
Background
- Research interests include Machine Learning, Computer Vision, and Reinforcement Learning. The main focus and ultimate goal of the research is to develop a principled theory for understanding deep learning's effectiveness, functionality, and limitations. Also interested in designing better and faster learning algorithms/architectures.
Miscellany
- The personal homepage is powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.
