Ha-Myung Park

Ha-Myung Park

Associate Professor · School of Artificial Intelligence · Kookmin University
Principal Investigator, Data Mining Lab.

I am an Associate Professor in the School of Artificial Intelligence at Kookmin University, South Korea, where I lead the Data Mining Lab. My research focuses on efficient data mining and machine learning, with an emphasis on scalable graph algorithms, high-dimensional similarity search, and AI model compression. Recent work includes neural network quantization and representation learning for satellite image and video retrieval.

Academic Appointments

  • Associate Professor, Kookmin University — Mar 2025–present. School of Artificial Intelligence.
  • Assistant Professor, Kookmin University — Mar 2019–Feb 2025.
  • Postdoctoral Researcher, Seoul National University — Mar 2018–Feb 2019.

Education

  • PhD, School of Computing, KAIST — Sep 2013–Feb 2018. Advisors: U Kang and Sung-Hyon Myaeng.
  • MS, Division of Web Science and Technology, KAIST — Sep 2011–Aug 2013. Advisor: Chin-Wan Chung.
  • BS, Computer Science and Engineering, Sungkyunkwan University — Mar 2007–Feb 2011. School of Information and Communication Engineering.

Publications

Full publication list at the Data Mining Lab.

Selected Recent Publications

  • EPTQ: Fast and Accurate 2-bit Post-Training Quantization via Factored E8 Lattice.
    Ha-Myung Park, Jungeun Park, Chaewon Jeong, Woncheol Son, Yunjun Kim, Junseo Youn, and Ki Yeon Park.
    ACM International Conference on Information and Knowledge Management (CIKM). Accepted, to appear. 2026. KIISE S: Top-tier

  • S3-Prompt: Resolving Activity Cliffs via Structure-Disentangled Molecular Graph-Text Alignment.
    Wooseong Cho and Ha-Myung Park.
    ACM International Conference on Information and Knowledge Management (CIKM). Accepted, to appear. 2026. KIISE S: Top-tier

  • Efficient Time-Restricted kNN Search in High-Dimensional Data Using Multi-Level Block Indexing, with Extensions to Multi-Attribute Filtering.
    Jisoo Kang, Changhun Han, Suji Kim, and Ha-Myung Park.
    ACM Transactions on Knowledge Discovery from Data (TKDD). 2026. JCR Q1; Joint #8/128 in Computer Science, Software Engineering
    Paper · Code

  • SkySearch: Satellite Video Search at Scale.
    Minyoung Choe, Geon Lee, Changhun Han, Suji Kim, Woong Hu, Hyebeen Hwang, Geunseok Park, Byeongyeon Kim, Hyesook Lee, Ha-Myung Park, and Kijung Shin.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2025. KIISE S: Top-tier
    Paper · Code · Slides · Poster

  • BTS: Load-Balanced Distributed Union-Find for Finding Connected Components with Balanced Tree Structures.
    Chaeeun Kim, Changhun Han, and Ha-Myung Park.
    IEEE International Conference on Data Engineering (ICDE). 2024. KIISE S: Top-tier
    Paper

  • Efficient Proximity Search in Time-evolving High-dimensional Data using Multi-level Block Indexing.
    Changhun Han, Suji Kim, and Ha-Myung Park.
    International Conference on Extending Database Technology (EDBT). 2024. KIISE A: Excellent
    Paper

  • Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest.
    Sanghong Kim and Ha-Myung Park.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2023. KIISE S: Top-tier
    Paper · Code

Conference classifications follow the KIISE 2024 list. TKDD metrics use 2025 data (2026 JCR release): ACM; ranking data (Akaturk).

Other International Publications (17)

  • Efficient Reconstruction of Masked Image Embeddings for Region-Specific Satellite Image Retrieval
    YoungJun Lee and Ha-Myung Park.
    IEEE Access 2026. To appear.

  • COSMO: Contrastive Satellite Image Embedding Techniques Reflecting Expert Weather Bulletins
    Min-Hyoung Kim and Ha-Myung Park.
    IEEE Access 2026.
    Paper

  • HyunSeok Park and Ha-Myung Park, Enhancing Heterophilic Graph Neural Network Performance through Label Propagation in K-Nearest Neighbor Graphs, IEEE International Conference on Big Data and Smart Computing (BigComp), 2024 PDF

  • Ismail Abdulhakin and Ha-Myung Park, Latent Representation Generation for Efficient Content-Based Image Retrieval in Weather Satellite Images Using Self-Supervised Segmentation (poster), IEEE International Conference on Big Data and Smart Computing (BigComp), 2024 PDF

  • Chaeeun Kim, Changhun Han, and Ha-Myung Park, UniCon: A Unified Star-Operation to Efficiently Find Connected Components on a Cluster of Commodity Hardware, PLOS ONE, 2022 PDF Github

  • Jinhong Jung, Woojeong Jin, Ha-Myung Park, and U Kang, Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart, World Wide Web Journal (WWWJ), 2020 PDF

  • Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, and U Kang, PACC: Large Scale Connected Component Computation on Hadoop and Spark, PLOS ONE, 2020 PDF, Github

  • Chiwan Park, Ha-Myung Park, and U Kang, FlexGraph: flexible partitioning and storage for scalable graph mining, PLOS ONE, 2020 PDF, Github

  • Jinhong Jung, Ha-Myung Park, and U Kang, BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks, International Conference on Extending Database Technology (EDBT), 2020, PDF

  • Ha-Myung Park, Francesco Silvestri, Rasmus Pagh, Chin-wan Chung, Sung-Hyon Myaeng, and U Kang, Enumerating Trillion Subgraphs On Distributed Systems, ACM Transactions on Knowledge Discovery from Data (TKDD), 2018 PDF Homepage

  • Ha-Myung Park, Chiwan Park, and U Kang, PegasusN: A Scalable and Versatile Graph Mining System, AAAI Conference on Artificial Intelligence (AAAI), 2018 (demo paper) PDF Homepage

  • Kyung-Min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P.Joohee, Seokwoo Jeong, U Kang, and Sung-Hyon Myaeng, A New Question Answering Approach with Conceptual Graphs, Conférence en Recherche d’Information et Applications (CORIA), 2017 PDF

  • Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang, Partition Aware Connected Component Computation in Distributed Systems, IEEE International Conference on Data Mining (ICDM), 2016 PDF Homepage

  • Ha-Myung Park, Sung-Hyon Myaeng , U Kang, PTE: Enumerating Trillion Triangles On Distributed Systems, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016 PDF Homepage

  • Min Joong Lee, Dong Wan Choi, Sangyon Kim, Ha-Myung Park, Sunghee Choi, Chin-Wan Chung, The Direction-Constrained k Nearest Neighbor Query: Dealing With Spatio-Directional Objects, Geoinformatica 20(3), 2016 PDF

  • Ha-Myung Park, Francesco Silvestri, U Kang, Rasmus Pagh, MapReduce Triangle Enumeration With Guarantees, ACM International Conference on Information and Knowledge Management (CIKM), 2014 PDF Homepage

  • Ha-Myung Park, Chin-Wan Chung, An Efficient MapReduce Algorithm for Counting Triangles in a Very Large graph, ACM International Conference on Information and Knowledge Management (CIKM), 2013 PDF

Domestic Publications (12)

  • 서브그래프 기반 이상 탐지에서 소수 클래스 표현력 강화를 위한 연구
    강다솔, 박하명.
    한국컴퓨터종합학술대회 (KCC) 2026. 우수논문상.

  • 트리플렛의 재사용을 통한 SignedGCN 모델의 학습 효율 개선
    김윤준, 박하명.
    한국컴퓨터종합학술대회 (KCC) 2026.

  • 위성사진 유사사례 검색을 위한 시계열 특성 반영 임베딩 모델 파인튜닝 기법
    강하운, 김윤희, 배세은, 이가현, 홍세원, 박하명.
    한국컴퓨터종합학술대회 (KCC) 2025. 학부생부문 장려상.
    Paper · Poster

  • 멀티모달 임베딩 정렬 기반 자연어-위성사진 유사 사례 검색
    강하운, 김윤희, 배세은, 이가현, 홍세원, 박하명.
    한국컴퓨터종합학술대회 (KCC) 2025. 학부생부문 우수상.
    Paper · Poster

  • k-코어 기반 그래프 증강 기법
    박현석, 김수지, 박하명.
    한국소프트웨어종합학술대회 (KSC) 2023.
    Paper

  • KcBERT 언어 모델을 사용한 뉴스 기사 혐오 댓글 분류
    강지수, 박하명, 강승식.
    한국소프트웨어종합학술대회 (KSC) 2023.
    Paper

  • KcELECTRA 를 활용한 혐오성 댓글 분류
    이영준, 박하명, 강승식.
    한국소프트웨어종합학술대회 (KSC) 2023.
    Paper

  • 기상관측정보를 고려한 오토인코더 기반 멀티모달 기상위성영상 임베딩 기법 연구
    김유진, 이소정, 박하명.
    한국소프트웨어종합학술대회 (KSC) 2022.
    Paper

  • 맵리듀스 환경에서 프로덕트 양자화
    조재오, 박하명.
    한국소프트웨어종합학술대회 (KSC) 2022.
    Paper

  • 그래프 사전 분할 기법을 활용한 Butterfly Counting MapReduce 알고리즘
    허태정, 이용준, 박하명.
    한국컴퓨터종합학술대회 (KCC) 2021.
    Paper

  • 너비 우선 탐색(BFS) 기법 기반 국내 유튜브(Youtube) 동영상 정보 크롤링 기법 및 국내 Youtube 데이터셋 구축
    김태영, 박하명.
    한국컴퓨터종합학술대회 (KCC) 2021.
    Paper

  • 대용량 그래프에서의 삼각형 검색 연구 : 알고리즘과 응용
    박하명, 강유.
    한국통신학회지(정보와통신) 2014.
    Paper

Patents

Patent titles, inventors, application numbers, and registration information follow the Data Mining Lab. records (checked October 2026). Korean titles and inventor names are retained from those records.

Granted Patents (8)

  • Multimodal Embedding Method and Apparatus for Meteorological Satellite Images with Weather Information
    기상위성영상과 기상관측정보를 활용한 멀티모달 임베딩 방법 및 장치
    Inventors: 박하명, 김유진, 이소정.
    Korean patent application 1020230023710 (filed 2023-02-22). Granted 2025-08-27; registration 1028530300000. DOI.

  • Security Event Analysis and Visualization Apparatus and Method Based on Graph Random Walk with Restart
    그래프 랜덤워크 기반 보안관제 이벤트 분석 장치 및 방법
    Inventors: 박하명.
    Korean patent application 1020220072765 (filed 2022-06-15). Granted 2025-03-07; registration 1027804170000. DOI.

  • Apparatus and Method for Generating Signed Network
    부호화된 네트워크 생성 장치 및 방법
    Inventors: 강유, 정진홍, 박하명.
    Korean patent application 1020190146716 (filed 2019-11-15). Granted 2021-10-28; registration 1023210640000. DOI.

  • Triangle Enumeration Method That Reduces Network Traffic on Heterogeneous Clusters and Apparatus Thereof
    이기종 클러스터 환경에서 네트워크 통신의 양을 줄이는 그래프 삼각형 열거 방법 및 장치
    Inventors: 강유, 박하명.
    Korean patent application 1020190018142 (filed 2019-02-15). Granted 2020-12-10; registration 1021920480000. DOI.

  • Method and Apparatus for Measuring Relevance Between Nodes of Edge-Labeled Multigraph
    다중 간선 라벨 그래프의 정점들 간 관련도를 측정하는 방법 및 장치
    Inventors: 강유, 정진홍, 진우정, 박하명.
    Korean patent application 1020180150180 (filed 2018-11-28). Granted 2020-11-06; registration 1021779400000. DOI.

  • Method and Apparatus for Scalable Graph Mining Using Graph Pre-partitioning
    사전 그래프 분할 기반 행렬 벡터 곱을 이용한 대규모 그래프 마이닝 방법 및 장치
    Inventors: 강유, 박치완, 박하명, 윤민지.
    Korean patent application 1020180037373 (filed 2018-03-30). Granted 2019-06-12; registration 1019907350000. DOI.

  • Method and Apparatus for Matching Graph
    그래프 매칭 방법 및 장치
    Inventors: 서동민, 유석종, 이민호, 강유, 박하명.
    Korean patent application 1020160139185 (filed 2016-10-25). Granted 2017-06-09; registration 1017478540000. DOI.

  • MapReduce Method for Triangle Enumeration and Apparatus Thereof
    삼각형 열거를 위한 맵 리듀스 방법, 및 그 방법을 이용하는 장치들
    Inventors: 강유, 박하명, 파라스무스, 실베스트리프란체스코.
    Korean patent application 1020150020455 (filed 2015-02-10). Granted 2016-10-19; registration 1016693560000. DOI.

Patent Applications (4)

  • Apparatus and Method For Neural Network Quantization Based on High-Dimensional Lattice Structure
    고차원 격자 구조 기반 신경망 양자화 장치 및 방법
    Inventors: 박하명.
    Korean patent application 1020260047930 (filed 2026-03-17).

  • A Method for Graph Augmentation Using K-Cores
    k-코어를 사용한 그래프 증강 방법
    Inventors: 박하명, 박현석, 김수지, 김병연.
    Korean patent application 1020240046746 (filed 2024-04-05).

  • Heterophilic Graph Neural Network Enhancement using K-NN Graphs and Label Propagation
    K-NN 그래프와 라벨 전파를 이용한 이질적 그래프 신경망 성능 강화
    Inventors: 박하명, 박현석, 김병연.
    Korean patent application 1020240045739 (filed 2024-04-04).

  • Multi-Level Block Indexing for Efficient Proximity Search in Time-Accumulating High-Dimensional Data
    시간 축적 고차원 데이터에서의 효율적인 근접 검색을 위한 다중 레벨 블록 인덱싱
    Inventors: 박하명, 한창훈, 김수지, 신하얀.
    Korean patent application 1020240041432 (filed 2024-03-26).

Teaching and Educational Leadership

Undergraduate and graduate teaching at Kookmin University spans data structures, algorithms, data science (including machine learning), big data technologies, recommender systems, data mining, and artificial intelligence.

Teaching evaluations ranked within the top 3.1% of all Kookmin University faculty in each of the four most recent evaluated semesters (Fall 2023–Spring 2026; sabbatical leave in 2025), including the top 1.03% in Spring 2026.

Undergraduate Courses

Kookmin University, 2019–2026 (through Fall 2026).

Course Years taught
Data Science 2020–2024, 2026
Practices in Big Data* 2019–2024
Recommendation System Design 2024, 2026
Data Structure 2019–2023
Algorithms 2024, 2026
Discrete Mathematics 2019
Computational Thinking (formerly Scientific and Computational Thinking) 2019–2023

* Practices in Big Data was team-taught in 2019–2021, 2023, and 2024; sole instructor in 2022.

Graduate Courses

Course Years taught
Practices in Advanced Big Data 2026
Artificial Intelligence and Security† 2023
Selected Topics in Security† 2021, 2023
Advanced Information Security† 2022, 2024
Introduction to Artificial Intelligence 2020
Big Data Fundamentals and Applications 2020
Data Mining 2019

† Team-taught courses.

Technology-Enhanced Teaching

  • Real-Time Classroom Interaction Platform. Developed and currently operate a platform for anonymous questions and real-time emoji reactions. Students participate from phones or computers, with questions and reactions displayed on the instructor’s screen.
  • Algorithm Assignment and Automated Grading Platform. Developed an automated grading platform for algorithm courses. Students submit code through a web interface and receive automated grading.
  • Publicly Available Course Lectures. Record and publish lectures on algorithms, data science, and recommendation system design to support review and self-paced learning. Watch on YouTube.

Educational Leadership

  • Kookmin University Coding Competency Certification Program — Lead. Prepared and ran 12 examination sessions between May 2021 and Feb 2025, including problem setting and solution explanations.
  • Kookmin University Algorithm Competition. Problem-Setting Committee Lead: 2022–2024, 2026. Problem-Setting Committee Member: 2019–2021, 2025.
Earlier teaching assistantships
  • Advanced Data Mining, KAIST — Spring 2014 and Spring 2015 (CS665).
  • Natural Language Process I, KAIST — Fall 2013 (CS574).
  • User Experience Engineering, KAIST–DTU e-Learning Course — Summer 2012.

Research Projects

Ongoing Projects

  • Multimodal Integrated Embeddings and Self-Verifying Real-Time Agentic AI for High-Reliability Corporate Disclosure Data Analysis.*
    Institutional Principal Investigator, Kookmin University. Lead institution: Synapsoft; participating institution: Kookmin University. Funded by MSIT / IITP. Current agreement: Apr–Dec 2026, the first year of a 2 + 2-year project.

Completed Projects

  • Intelligent Automated Insurance Fraud Detection: Generative AI Scenario Design and Integrated Analytics for Proactive Fraud Detection.*
    Sep 2025–Aug 2026. Institutional Principal Investigator, Kookmin University. Funded by Seoul Metropolitan Government / Seoul Business Agency.
  • Development of AI-based assistant technology for weather forecasting.
    Apr 2021–Nov 2024. Institutional Principal Investigator, Kookmin University. Funded by the Korea Meteorological Administration (KMA), through KAIST.
  • Distributed k-Nearest-Neighbor Graph Construction and Search for Scalable High-Dimensional Data Analysis.
    Jun 2020–Feb 2022. Principal Investigator (individual research project). Funded by MSIT / National Research Foundation of Korea (NRF).
  • Efficient Graph Triangle Enumeration on Heterogeneous Clusters.
    Sep 2019–Aug 2020. Principal Investigator (individual research project). Funded by MSIT / NRF.

* English titles translated from Korean; no official English titles available.

Earlier project participation
  • Exobrain, Development of Core Technology for Human-like Self-taught Learning based on a Symbolic Approach (2014–2019).
  • Large Scale Matrix Computation for Personalized Recommendation (2013–2014).
  • Enabling Technologies for Mobile Social Network Based Services in Web 3.0 (2012–2013). Funded by the Korea Ministry of Education, Science and Technology.

Professional Service

Conference Organization and Session Chairing

Program Committees

  • Senior Program Committee Member: CIKM 2026 (Full Research); CIKM 2025 (Short Research Papers).
  • Program Committee Member: CIKM 2026 (Short Paper); The Web Conference (WWW) 2026 (Graph Algorithms and Modeling for the Web); DASFAA 2026 (Research Papers); KDBC 2024–2026.
Earlier honors and other activities

Honours and Awards

  • Naver PhD Fellowship Award, (Dec. 2016)
  • IEEE ICDM 2016 Student Travel Award, (Nov. 2016)
  • Google Travel Grants for Students in Japan and South Korea, (Nov. 2016)
  • ACM SIGKDD Student Travel Award, (Jun. 2016)
  • HumanTech award (silver), Samsung (Feb. 2016)
  • HumanTech award (bronze), Samsung (Feb. 2014)
  • National Scholarship, KAIST (from Fall 2013)
  • KAIST Scholarship, KAIST (Fall 2011 - Spring 2013)
  • National Science and Technology Scholarship, SKKU (Spring and Fall 2010)
  • Academic Excellence Scholarship, SKKU (Spring 2008-Fall 2009)

Extra Activities

  • Former administrator of cluster servers (60 machines) in DMlab., KAIST.
  • System Consultant Group in SKKU (2008-2011)
    • SCG develops and manages IT systems of the College of ICC at SKKU.
  • Korea Internet Volunteers, Republic of South Africa (Aug. 2009)

Last updated: October 2026.