About Me
I am a second-year CS Graduate student at Fudan University. Currently, I am engaged in a remote research internship supervised by Prof. Binhang Yuan at Hong Kong University of Science and Technology.
Prior to my internship with Prof. Yuan, I served as a research intern at Nanyang Technological University, where I worked under the mentorship of Prof. Siqiang Luo. I got my bachelor degree from Computer Science Department at Fudan University.
My research interests lie at the intersection of machine learning and data-intensive systems, e.g., leveraging machine learning techniques to accelerate query process in big data systems and employing system method to enhance the efficiency and affordability of large language models.
Publications
- Oasis: An Optimal Disjoint Segmented Learned Range Filter
- Gar: A Generate-and-Rank Approach for Natural Language to SQL Translation
Work Experience
- Research Intern (In Progress)
- Hong Kong University of Science and Technology (2024/03 - Now)
- Conducting research to accelerate the LLM fine-tuning process.
- SDE Intern
- ByteDance (2023/12 - 2024/03)
- Added support for geometry data type and corresponding geometry primary index in ByteHouse, a cloud-native data warehouse built on ClickHouse.
- Research Intern
- Nanyang Technological University (2023/02 - 2023/11)
- Developed a novel learned range filter to accelerate the range query process in LSM-Tree based data storage systems (Accepted to VLDB’24).