Biography

I am Qiaolin Yu, a graduate student at Cornell University and Cornell Tech. My interests primarily focus on LSM-Tree based key-value stores, database systems, machine learning systems, and haircutting. Currently, I work as a research intern at Cornell Computer Systems Laboratory, advised by Prof. Udit Gupta. I also work closely with Prof. Zhichao Cao.

I also have amassed significant industry experience. I will join Databricks as a software engineer intern in 2024 summer. Previously, I have interned in the compute architecture team at PingCAP, the Azure Machine Learning team at Microsoft, the ByteHouse team at ByteDance, and the graph database team at Kuaishou.

My resume is available upon request. If you would like to chat, feel free to reach out.

Mail

GitHub (Qiaolin-Yu)
LinkedIn

News

[2024/02/23] My first-author paper was accepted by SIGMOD 2024. Super excited!!!

[2023/09/12] Got the 2024 summer internship offer from Databricks. See you all in Mountain View!

Education

Cornell University (Cornell Tech) Aug 2023 - May 2025

MS, Computer Science and Information Systems

University of Liverpool (Xi'an Jiaotong-Liverpool University) Sep 2019 - Jul 2023

BS, Computer Science

Research Experience

Computer Systems Laboratory, Cornell University Jan 2024 - Present

Research Intern, Machine Learning System

Advised by Prof. Udit Gupta.
Optimizing data I/O performance in end-to-end recommendation systems.

Intelligent Data Infrastructure Lab, Arizona State University Dec 2021 - Present

Research Intern, Storage Engine

Advised by Prof. Zhichao Cao.
Conducting research on RocksDB and its related database systems, such as MyRocks, NebulaGraph, and Kvrocks, with a focus on their performance.

Industry Experience

PingCAP Aug 2022 - May 2023

Software Engineer Intern, Cloud Database System

Developed the auto-scaling feature for TiFlash (the analytical engine for TiDB) from the ground up.

Microsoft May 2022 - Aug 2022

Software Engineer Intern, AI Infrastructure

Built infrastructure for Azure Machine Learning service.

ByteDance Jan 2022 - Apr 2022

Software Engineer Intern, Cloud Native Data Warehouse

Worked on ByteHouse (also known as ByConity within the open-source community), a cloud native data warehouse.

Kuaishou Jun 2021 - Sep 2021

Software Engineer Intern, Graph Database System

Designed and developed infrastructure for NebulaGraph clusters.

Selected Publication

CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure

Qiaolin Yu, Chang Guo, Jay Zhuang, Viraj Thakkar, Jianguo Wang, Zhichao Cao.
ACM Conference on Management of Data (SIGMOD 2024), Research Track Full Paper.

[paper] [code]

Prophet: LSM Key-Value Store Optimizations on ZNS SSDs with File Lifetime Prediction and Compaction Compensation

Gaoji Liu, Chongzhuo Yang, Qiaolin Yu, Chang Guo, Haocheng Zhang, Wen Xia, Zhichao Cao.
International Conference on Massive Storage Systems and Technology (MSST 2024), Research Track Full Paper.

(Accepted, to be published)