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Hyeonji Kim

PhD Student in Database & Data Mining Lab

Education

Ph.D in IT Engineering (Computer Science and Engineering)

Pohang University of Science of Technology (POSTECH)
2016.2 - present

B.S in Creative IT Engineering (Magna Cum Laude)

Pohang University of Science of Technology (POSTECH)
2012.3 - 2016.2

Interests

  • Natural Language Processing
  • Database Query Processing
  • Deep Learning
  • Graph Databases
  • Graph Data Analysis
  • Big Data Processing

Languages

  • Korean (Native)
  • English (Professional)

About Me

My research interests range from large-scale graph data analytics (such as disk-based subgraph matching, distributed graph analytics, and graph pattern cardinality estimation) to natural language processing with deep learning. Recently, I am committed to develop techniques for translating natural language to SQL (NL2SQL) and conversational systems for databases.

Experiences

Full-time Internship

2015.12 - 2016.3
Oracle Labs, CA, USA

Participated in Parallel Graph AnalytiX (PGX) project - Performance analysis and tuning of graph analytics and graph queries in large-scale graphs on a distributed graph engine, and efficient graph partitioning for a distributed graph engine, PGX/D

Teaching Assistant

2017 - 2020
Samsung Electronics

Data programming course (Apr. 2020), Advanced data expert course (July. 2019 – Nov. 2019), Data foundation course (Oct. 2017)

Reviewer

2016 - 2021
ACM SIGMOD (2016, 2018, 2021), VLDB (2016, 2018-2021), KDD (2017-2021), ICDE (2020-2021), EDBT (2018), IEEE TKDE (2016)

Scholarship

2016
Google Anita Borg Scholars APAC

Scholarship

2012 - 2020
POSTECH-SUNY Korea IT Consilience Creative Program (ITCCP)

Exchange Student

2015.3 - 2015.8
Technische Universität Berlin, Germany

Publications

  • Combining Sampling and Synopses with Worst-Case Optimal Runtime And Quality Guarantees for Graph Pattern Cardinality Estimation
    • Kyoungmin Kim, Hyeonji Kim, George Fletcher, Wook-Shin Han
    SIGMOD, 2021
  • Natural language to SQL: Where are we today?
    • Hyeonji Kim, Byeong-Hoon So, Wook-Shin Han, Hongrae Lee
    VLDB, 2020
  • DualSim: Parallel Subgraph Enumeration in a Massive Graph on a Single Machine
    • Hyeonji Kim, Juneyoung Lee, Sourav S. Bhowmick, Wook-Shin Han, JeongHoon Lee, Seongyun Ko, Moath H.A. Jarrah
    SIGMOD, 2016