About Me
Intelligent data makes computing great.
I am a third-year undergraduate student in the Hongyi Honor Class, School of Computer Science at Wuhan University. I joined the Totem Database Laboratory in my freshman year, where I am fortunate to be advised by Prof. Sheng Wang. And I really appreciate the guidance from Dr. Zhiyu Chen at Amazon.
My research focuses on Systems for ML, aiming to make efficient and "intelligent" data management in modern systems. I'm passionate about and potential to research topics on AI infrastructure and Database Systems.
I also share technical notes and reflections on research through my Zhihu blog and Xiaohongshu. Feel free to visit if you use Chinese social media.
Education
Experience
Research Interests
Awards and Honors
Service
Research
My recent research topics focus on efficient context management in agent serving systems, efficient agent-database interaction, and agent memory
Systems, Architecture & Infrastructure for ML/AI
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- Attention-aligned, head-wise mapping across model architectures.
- Memory-efficient GPU construction and low-cost online application.
- KV-Cache Management Optimization.
- Scheduling-Memory Co-design for lower latency.
- Developed migration scripts to update OpenTenBase from v2.6 to v5.0 with zero data loss.
- Successfully achieved the first full compilation of OpenTenBase v5.0 on Ubuntu.
- Conferred as "Tencent Open-source Core Contributor".
Publications
Recruiting
Our lab at WHU always looks for high-motivated undergraduate students and interns/RA. If you are interested in topics about databases/LLM/AI infra/ML, feel free to contact Prof. Sheng Wang or email me directly. We can offer guidance and support within our means.
My experience in the lab has been highly rewarding. I have received excellent guidance and benefited from a supportive and collaborative lab environment. Along the way, I have developed practical insights into getting started with research in machine learning and database systems, and I am always open to research collaborations.