Ruoyu Sun
Scholar

Ruoyu Sun

Google Scholar ID: PsfzbCMAAAAJ
Chinese University of Hong Kong (Shenzhen), Shenzhen Institue of Big Data
Mathematical optimizationNeural networksMachine Learning
Citations & Impact
All-time
Citations
3,556
 
H-index
28
 
i10-index
42
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Selected works: 'On the global landscape of neural networks: an overview', 'Towards a better global loss landscape of GANs', NeurIPS 2020
  • Awards: Three papers accepted as spotlight papers at NeurIPS 2022 (~5% of >10,000 submissions)
  • Projects: Proved that the original Adam with proper hyperparameters can converge
Research Experience
  • Associate Professor, School of Data Science, Chinese University of Hong Kong, Shenzhen
  • Senior Research Scientist, Shenzhen Institute of Big Data (SRIBD)
  • Vice Chair, Shenzhen International Center for Industrial and Applied Mathematics (SICIAM)
  • Adjunct Associate Professor, UIUC
  • Assistant Professor, University of Illinois at Urbana-Champaign (2017-2022)
  • Visiting Researcher, Facebook Artificial Intelligence Research (2016.06-2016.12)
  • Post-doctoral Scholar, Stanford University (2015-2016)
Education
  • Ph.D. in Electrical Engineering, University of Minnesota (2009-2015)
  • B.Sc. in Mathematics, Peking University (2005-2009)
  • Post-doctoral Scholar, Stanford University (host: Yinyu Ye) (2015-2016)
Background
  • Associate Professor at Chinese University of Hong Kong, Shenzhen. Major interests are optimization and deep learning, especially large foundational models. Previously, a tenure-track assistant professor at UIUC and a full-time visiting scientist at FAIR (now Meta AI Fundamental AI Research). Recent interests include theory and algorithms of large foundation models, generative AI, learning-assisted optimization, and neural-net compression.
Miscellany
  • Recruiting: Multiple positions for research scientists, research engineers, postdocs, PhD students, visiting scholars, visiting students, and undergraduate interns.