Qiaolin Yu

Qiaolin Yu

Undergraduate Student

Xi’an Jiaotong-Liverpool University

Biography

I am Qiaolin Yu, an undergraduate student at Xi’an Jiaotong-Liverpool University in China & the University of Liverpool in the UK. My research interest lies in database systems, including key-value stores, distributed storage systems, graph database systems and HTAP database systems.

Currently, I work closely with Zhichao Cao at Arizona State University. I have submitted a first-author paper and a third-author paper to ATC ‘23. I also have a lot of industrial experience. I am interning at PingCAP, working on the compute engine of TiDB and TiFlash. Before this, I interned in the Azure Machine Learning team of Microsoft, the ByteHouse team of ByteDance, and the graph database team of Kuaishou.

Interests
  • Key-value Store (RocksDB)
  • Distributed Storage System
  • Graph Database System
  • HTAP Database System
Education

  • BS in Computer Science

    University of Liverpool, 2019.09 - 2023.06

  • BSc in Information and Computing Science

    Xi’an Jiaotong-Liverpool University, 2019.09 - 2023.06

News

2023.01

  • I submitted a first-author paper and a third-author paper to ATC ‘23. Fingers crossed!

2022.08

  • I left Microsoft and joined PingCAP, which is one of the top database teams in China.
  • I will work on the compute engine of TiDB and TiFlash. It’s interesting!

2022.04

  • I left ByteDance (the company behind TikTok). It was a wonderful journey.
  • I will join the Azure Machine Learning team of Microsoft in May. Hope everything goes well.

2022.01

  • I joined ByteDance as a R&D Intern to participate in the development of Cloud Native OLAP Database “ByteHouse”.

2021.12

  • I started my first research experience and I am so excited!

Publications & Preprints

Due to the double-blind policy, the title of the paper is hidden.

[1] [ATC ’23] Qiaolin Yu, Jay Zhuang, Chang Guo, Viraj Thakkar, Zhichao Cao. “A paper on compaction optimization for LSM key-value stores.” USENIX Annual Technical Conference, 2023 (In review)

[2] [ATC ’23] Gaoji Liu, Chongzhuo Yang, Qiaolin Yu, Chang Guo, Haocheng Zhang, Wen Xia, Zhichao Cao. “A paper on new hardware for LSM key-value stores.” USENIX Annual Technical Conference, 2023 (In review)

[3] [VLDB ’23] Hao Wen*, Qiaolin Yu*, Zhanfu Yang, Zhichao Cao, Hang Liu, Min Wu, Sherman Ye. “A paper on graph database cache optimization.” 49th International Conference on Very Large Data Bases, 2023 (In preparation)

Industrial Experience

 
 
 
 
 
PingCAP
Database Engineer Intern
PingCAP
Aug 2022 – Present Shanghai, China
Compute Engine of TiDB and TiFlash
 
 
 
 
 
Microsoft
Software Engineer Intern
Microsoft
May 2022 – Aug 2022 Suzhou, China
Cloud Service of Azure Machine Learning
 
 
 
 
 
ByteDance
OLAP Database R&D Intern
ByteDance
Jan 2022 – Apr 2022 Beijing, China
Development of Cloud Native OLAP Database “ByteHouse”
 
 
 
 
 
Kuaishou
Graph Database R&D Intern
Kuaishou
Jun 2021 – Sep 2021 Beijing, China
Infrastructure for Distributed Graph Database “NebulaGraph”

Research Experience

 
 
 
 
 
Arizona State University
Research Intern, Database
Arizona State University
Dec 2021 – Present

Advised by Zhichao Cao

Projects include:

  • Cache Optimization of Graph Database (Collaborated with NebulaGraph team）
  • Compaction of LSM tree (Based on RocksDB)

Awards and Honors

2022

  • XJTLU Academic Achievement Scholarship (rank 16 in major)
  • National First prize at 13th Lan Qiao Cup Professional Computer Contest (Top 0.1% in China)
  • Provincial First prize at 13th Lan Qiao Cup Professional Computer Contest (Top 2% in Jiangsu Province).

2021

  • Main Force of ACM/ICPC School Team
  • National Third prize at 12th Lan Qiao Cup Professional Computer Contest (Top 3% in China)
  • Provincial First prize at 12th Lan Qiao Cup Professional Computer Contest (Top 2% in Jiangsu Province).

2020