Prof.
Ha-Myung Park
박하명 교수
Data Mining Lab.
Contact
Phone 02-910-4795
E-mail hmpark@kookmin.ac.kr
E-mail hmpark@kookmin.ac.kr
Education
학력
Ph.D. KAIST, School of Computing ()
M.S. KAIST, Web Science and Technology ()
B.S. SungKyunKwan University, Computer Science ()
M.S. KAIST, Web Science and Technology ()
B.S. SungKyunKwan University, Computer Science ()
Career
경력
Present Associate Professor, Dept. of Computer Science, Kookmin University
현재 국민대학교 컴퓨터공학부 부교수
Research Overview 연구 개요
Research focuses on efficient data mining, AI model compression, and vector databases. The lab develops scalable algorithms for large-scale data processing, including distributed graph algorithms and high-dimensional proximity search.
대규모 데이터의 효율적 마이닝, AI 모델 압축, 벡터 데이터베이스를 연구합니다. 분산 그래프 알고리즘과 고차원 근접 탐색 등 대규모 데이터 처리를 위한 확장 가능한 알고리즘을 개발합니다.
Research Areas 연구 분야
- Efficient Data Mining
- AI Model Compression
- Vector Database
- Distributed Graph Algorithms
- 효율적 데이터 마이닝
- AI 모델 압축
- 벡터 데이터베이스
- 분산 그래프 알고리즘
Major Achievements 주요 연구 성과
- SkySearch: Satellite Video Search at Scale (KDD 2025)
- BTS: Load-Balanced Distributed Union-Find (ICDE 2024)
- Distributed Approximate k-NN Graph Construction (KDD 2023)
Honors & Awards 수상
- Naver PhD Fellowship Award, 2016
- HumanTech Award - Silver, Samsung, 2016
- IEEE ICDM 2016 Student Travel Award
Recent Publications 주요 논문
- J. Kang, C. Han, S. Kim, and H.-M. Park, "Efficient Time-Restricted kNN Search in High-Dimensional Data Using Multi-Level Block Indexing, with Extensions to Multi-Attribute Filtering," ACM TKDD, 2026
- M. Choe, G. Lee, C. Han, S. Kim, W. Hu, H. Hwang, G. Park, B. Kim, H. Lee, H.-M. Park, and K. Shin, "SkySearch: Satellite Video Search at Scale," KDD, 2025
- C. Kim, C. Han, and H.-M. Park, "BTS: Load-Balanced Distributed Union-Find for Finding Connected Components with Balanced Tree Structures," IEEE ICDE, 2024
- C. Han, S. Kim, and H.-M. Park, "Efficient Proximity Search in Time-evolving High-dimensional Data using Multi-level Block Indexing," EDBT, 2024
- S. Kim and H.-M. Park, "Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest," KDD, 2023
- C. Kim, C. Han, and H.-M. Park, "UniCon: A Unified Star-Operation to Efficiently Find Connected Components on a Cluster of Commodity Hardware," PLOS ONE, 2022
- J. Jung, W. Jin, H.-M. Park, and U Kang, "Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart," World Wide Web Journal, 2020
- H.-M. Park, N. Park, S.-H. Myaeng, and U Kang, "PACC: Large Scale Connected Component Computation on Hadoop and Spark," PLOS ONE, 2020