Ha-Myung Park
Assistent Professor
College of Computer Science
Kookmin University
- Office: Room 403, Future Hall (S2), Kookmin Univ.
- Email: hmpark at kookmin.ac.kr
- WWW: http://hmpark.me
Ha-Myung Park is an assistent professor in College of Computer Science at Kookmin University. He received Ph.D. in School of Computing at KAIST (advisors: U Kang and Sung-Hyon Myaeng), M.S. in Division of Web Science and Technology at KAIST (advisor: Chin-Wan Chung), and B.S. in Computer Science and Engineering at SungKyunKwan Univ. (SKKU). He was a postdoctoral researcher at Data Mining Lab in Seoul National Univ.
Research Interest
- Large scale graph mining
- Scalable machine learning and data mining
Publications
- 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 Guarentees, 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
Teaching
- Data Science, Instructor, Kookmin Univ. (Fall 2020)
- BigData Basic and Applications, Instructor, Kookmin Univ. (Summer 2020)
- BigData Practice, Instructor, Kookmin Univ. (Spring 2020)
- Introduction to Artificial Intelligence, Instructor, Kookmin Univ. (Spring 2020)
- Science and Software Thinking, Instructor, Kookmin Univ. (Spring 2020)
- Data Structure, Instructor, Kookmin Univ. (Spring 2020)
- Data Mining, Instructor, Kookmin Univ. (Fall 2019)
- Discrete Mathematics, Instructor, Kookmin Univ. (Fall 2019)
- BigData practice, Instructor, Kookmin Univ. (Spring 2019)
- Science and software thinking, Instructor, Kookmin Univ. (Spring 2019)
- Data Structure, Instructor, Kookmin Univ. (Spring 2019)
- Advanced Data Mining, Teaching Assistant, KAIST (Spring 2015, CS665)
- Advanced Data Mining, Teaching Assistant, KAIST (Spring 2014, CS665)
- Natural Language Process I, Teaching Assistant, KAIST (Fall 2013, CS574)
- User Experience Engineering, Teaching Assistant, KAIST-DTU e-Learning Course (Summer 2012)
Projects
- Distributed K-Nearest-Neighbor Graph Construction and Search for Scalable High-dimensional Data Analyses (2020 - Now)
- Efficient Triangle Enumeration on Heterogeneous Clusters (2019 - 2020)
- 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. funded by Korea Ministry Education, Science and Technology (2012 - 2013)
Patents
- U Kang, Chiwan Park, Ha-Myung Park, Minji Yoon, Method and Apparatus for Scalable Graph Mining Using Graph Pre-partitioning (issued on June 2019)
- Dong Min Seo, Seok Jong Yu, Min Ho Lee, U Kang, Ha-Myung Park, Method and Apparatus for Matching Graph (issued on June 2017)
- U Kang, Ha-Myung Park, Francesco Silvestri, Rasmus Pagh, MapReduce Method for Traingle Enumeration and Apparatus Thereof (issued on Oct 2016)
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 (Fall 2013 - Present)
- 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
- Administrator of cluster server (60 machines) in DMlab., KAIST.
- System Consultant Group in SKKU (2008-2011)
- SCG develops and manages IT systems of the Colleage of ICC at SKKU.
- Korea Internet Volunteers, Republic of South Africa (Aug. 2009)
Professional Services
Journal Paper Reviews
- Social Network Analysis and Mining (SNAM), 2018
- Data & Knowledge Engineering (DKE), 2016
Conference Paper Reviews
- IEEE International Conference on Data Mining (ICDM), 2018
- ACM International Conference on Information and Knowledge Management (CIKM), 2018
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018
- The Web Conference (WWW), 2018
- ACM International Conference on Web Search and Data Mining (WSDM), 2018
- ACM International Conference on Information and Knowledge Management (CIKM), 2017
- International Conference on Emerging Databases: Technologies, Applications, and Theory (EDB), 2017
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
- Annual Meeting of the Association for Computational Linguistics (ACL), 2017
- International Conference on Big Data and Smart Computing (BigComp), 2017
- ACM Symposium on Applied Computing (ACM SAC), 2017
- ACM International Conference on Information and Knowledge Management (CIKM), 2016
- IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
- International World Wide Web Conference (WWW), 2016
- International Conference on Big Data and Smart Computing (BigComp), 2016
- ACM International Conference on Web Search and Data Mining (WSDM), 2016
- IEEE International Conference on Big Data (IEEE BigData), 2015
- IEEE International Conference on Data Mining (ICDM), 2015
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015
- IEEE International Conference on Data Engineering (ICDE), 2015
- International Conference on Extending Database Technology (EDBT), 2015