Ha-Myung Park

Assistent Professor
College of Computer Science
Kookmin University

  • Office: Room 814, Dormitory D, 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

Google scholar, DBLP

  • 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

  • Latest technologies in Big Data, 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

  • 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

  • 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