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Hello! 🖐

I'm a Master's student at Dankook University in South Korea, where I am fortunate to be advised by Professors Seehwan Yoo and Jongmoo Choi in the System Software Laboratory.

My research focuses on the exciting convergence of System and AI, with specific emphasis on Learned Index and System for ML-Cluster.

My key publication, featured at SIGMOD '24, is titled "Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs".

I am currently looking for a PhD position for 2025 and expect to complete my Master's degree in August 2024!

Minguk Choi's Projects

fiting-tree icon fiting-tree

FITing Tree is an indexing data structure that efficiently uses the memory without sacrificing the performance. For the paper: https://dl.acm.org/doi/10.1145/3299869.3319860

fiting-tree-1 icon fiting-tree-1

A novel learned index that uses piece-wise linear functions

mlsc-db icon mlsc-db

Database in Manufacture Logging System for CE Certificate

uftrace icon uftrace

Function graph tracer for C/C++/Rust/Python

ycsb-cpp icon ycsb-cpp

YCSB written in C++ for LevelDB, RocksDB and LMDB.

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