I am an incoming Ph.D. student in Computer Science and a member of KDELab at the University of Science and Technology of China.
My current research interests include cache optimization, AI for Database, KV cache compression, and efficient inference for large language models.
I keep technical notes and older project write-ups in the blog archive.
Ph.D. Student in Computer Science
University of Science and Technology of China. Incoming doctoral student.
M.S. in Computer Application Technology
University of Science and Technology of China. GPA: 3.90/4.30.
B.S. in Computer Science and Technology
University of Science and Technology of China. GPA: 3.55/4.30.
- I will start my Ph.D. study in Computer Science.
- Our paper MARL was accepted by IEEE ICDCS.
- Our paper Selectively Learned Cache Eviction Algorithm was published as a full paper at DASFAA 2026.
Cache Optimization
Learning-based and adaptive cache replacement for databases and storage systems.
LLM Inference
KV cache reuse, compression, and multi-level memory optimization for efficient long-context inference.
AI for Database
Learning-enhanced database components, adaptive query and cache optimization, and intelligent data management systems.
2026
SL-Cache: Selective Learning Cache Eviction with Priority Retention for Hot Objects
Yu-Ang Zhang, Yigui Yuan, Peiquan Jin, Hongtao Wang, Xiaoliang Wang, Shouhong Wan. DASFAA 2026.
PDF · DOI
2026
MARL: A Multi-Agent Reinforcement Learning Framework for Buffer Management in Multi-Tenant Cloud Databases
Xin Huang*, Yu-Ang Zhang*, Hongtao Wang, Peiquan Jin. IEEE ICDCS.
PDF * Equal contribution