Ruida Zhou
Scholar

Ruida Zhou

Google Scholar ID: kXbo1twAAAAJ
Amazon AGI
information theoryreinforcement learninggeneralization
Citations & Impact
All-time
Citations
714
 
H-index
15
 
i10-index
23
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • December 2024, Best Paper Award at Workshop on Machine Learning and Compression @ NeurIPS 2024.
  • July 2024, Best Paper Award at the Learn to Compress Workshop @ the International Symposium on Information Theory (ISIT) 2024.
  • 2024, Distinguished Graduate Award Excellence in Research-Doctoral from Texas A&M University.
  • 2023, Quality Graduate Student Award from ECEN, Texas A&M University.
  • October 2022, 2020-2021 IEEE Data Storage Best Student Paper Award for the paper 'Capacity-achieving private information retrieval codes from MDS-coded databases with minimum message size' in IEEE Trans. Inform. Theory 2020.
  • September 2022, Two papers accepted in Neurips 2022.
  • August 2022, Chevron Scholarship Award from ECEN department, Texas A&M University.
  • 2022, Graduate Research and Presentation Travel Award, Texas A&M University.
  • 2019, IEEE International Symposium on Information Theory Student Travel Award.
  • 2017, Huayu Fund Scholarship, awarded to students with strong scientific potential, USTC.
  • 2016, China National Scholarship, USTC.
Background
  • Research interests: information theory, reinforcement learning, and optimization. Leverages tools from information theory and optimization to understand and design algorithms in machine learning and reinforcement learning with provable guarantees.
Co-authors
0 total
Co-authors: 0 (list not available)