RUIDA ZHOU

Email: ruida [at] g.ucla.edu

About Me

Biography: I am a postdoc doctoral scholar at the University of California, Los Angeles (UCLA) advised by Prof. Suhas Diggavi. I obtained my Ph.D. in the Department of Electrical and Computer Engineering at Texas A&M University in 2023, advised by Prof. Chao Tian, and my B.E. degree in Electrical Engineering from the University of Science and Technology of China in 2018, advised by Prof. Cong Shen.

Research: My research interests lie in information theory, reinforcement learning, and optimization. I leverage tools from information theory and optimization to understand and design algorithms in machine learning and reinforcement learning with provable guarantees.

News

2024/12. Won the Best Paper Award at Workshop on Machine Learning and Compression @ NeurIPS 2024.
2024/07. Won the Best Paper Award at the Learn to Compress Workshop at the International Symposium on Information Theory (ISIT) 2024.
2024/03. Thrilled to receive the 2024 Distinguished Graduate Award Excellence in Research-Doctoral from Texas A&M University
Quality Graduate Student Award from ECEN @ Texas A&M University.
2023/08. Started my new life as a Postdoc at UCLA.
2023/08. Spent a wonderful summer in Dr. Xiaoning Qian's lab studying on Bayesian active learning and sampling.
2023/04. Received Quality Graduate Student Award from ECEN @ Texas A&M University.
2022/10. Received 2020-2021IEEE Data Storage Best Student Paper Award for paper (Link).
2022/09. Two papers have been accepted in Neurips 2022.
2022/08. Received Chevron Scholarship from ECEN @ Texas A&M University.

Honors and Awards

Best Paper Award at Workshop on Machine Learning and Compression @ NeurIPS 2024.

Best Paper Award at the Learn to Compress Workshop @ the International Symposium on Information Theory (ISIT) 2024

Distinguished Graduate Award Excellence in Research-Doctoral (2024) from Texas A&M University

Quality Graduate Student Award (2023) from ECEN, Texas A&M University

2020-2021 IEEE Data Storage Best Student Paper Award (1 paper in two years, 2022), for the paper “Capacity-achieving private information retrieval codes from MDS-coded databases with minimum message size” in IEEE Trans. Inform. Theory 2020.

Chevron Scholarship Award (2022) from ECEN department, Texas A&M University.

Graduate Research and Presentation Travel Award (2019, 2022), Texas A&M University.

IEEE International Symposium on Information Theory Student Travel Award (2019)

Huayu Fund Scholarship (2017), awarded to students with strong scientific potential, USTC.

China National Scholarship (2016), USTC.

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