About

I am a PhD student in Computer Science at the Key Laboratory of Data Engineering and Knowledge Engineering and the School of Information, Renmin University of China, advised by Prof. Feng Zhang.

My research interests lie in database systems, data compression, and GPU acceleration. I am particularly interested in building efficient compression and execution techniques for data-intensive systems.

Education

Sept. 2026 – Present: Ph.D. in Computer Science, Renmin University of China
Mar. 2026 – Jun. 2026: Visiting Student, CWI, Amsterdam, The Netherlands
Sept. 2024 – Jun. 2026: M.S. in Computer Science, Renmin University of China
Sept. 2020 – Jun. 2024: B.S. in Computer Science, Renmin University of China

Selected Work

Time-series compression in Apache IoTDB. I work on improving compression techniques for time-series data management systems, with a focus on storage efficiency and practical integration in Apache IoTDB. Paper | Code
Homomorphic compression for text processing. I contributed to HocoPG, a database system that supports text processing over homomorphically compressed data. Paper | Code

Activities

DBDBD 2025 “FastLanes for ML: GPU Decoding with PyTorch Images”, Yuxin Tang, Feng Zhang, Peter Boncz. CWI, Amsterdam, The Netherlands. abstract

Honors and Awards

China Association for Science and Technology (CAST) Young Sci-Tech Talent Development Program, PhD Student Special Program, Selected Fellow, 2025
BYD Scholarship, 2025
Outstanding Graduates, Beijing, China, 2024
Special Scholarship for Outstanding Academic Achievement, 2023
Huawei Scholarship, Renmin University of China, 2023