• Work experience
  • Summer 2017 and Summer 2018

    Research Intern

    IBM Research - Almaden in San Jose, CA, USA

    Participated Projects about Adversarial Neural Network and Relationship Classification

  • Summer 2016

    Research Intern

    IBM WATSON in Yorktown Heights/Somers, NY, USA

    Participated a Deep Learning Project for Modeling and Predicting Customers' Bahavior

  • December 2008 - July 2013

    Research Scientist

    Korea Institute of Science and Technology (KIST) in Seoul, Republic of Korea

    Participated Projects about Network Analysis, Natural Language Processing, and Human-Media Interaction

  • Sept 2012 - June 2013

    Technical Editor

    United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT)

    Participated Destination Tour Information (DTI) Project

  • Education
  • August 2013 - August 2020

    Ph.D. in Computer Science

    Purdue University in West Lafayette, IN, USA

    Advisor: Jennifer Neville

  • August 2006 - August 2008

    M.S. in Computer Science

    Korea Advanced Institute of Science and Technology (KAIST)* in Daejeon, Republic of Korea

    Advisor: Sung-Hyon Myaeng

    *Former Information and Communications University (ICU) – merged into KAIST

  • August 2003 - August 2006

    B.S. in Computer Science and IT Business (Minor)

    Korea Advanced Institute of Science and Technology (KAIST)* in Daejeon, Republic of Korea

    Graduation with Honor – Magna cum laude (Class Rank: 2nd)

    *Former Information and Communications University (ICU) – merged into KAIST

  • Selected Publication
  • Constraint-based Machine Learning (in submission)

  • Providing Explainations to Representation Learning Models (in submission)

  • I Luk Kim, Yunhui Zheng, Hogun Park, Weihang Wang, Wei You, Yousra Aafer, Xiangyu Zhang, Finding Client-side Business Flow Tampering Vulnerabilities, Proc. of 42nd International Conference on Software Engineering (ICSE 2020), 2020. (Acceptance rate: 20.91%) PDF

  • Hogun Park, Jennifer Neville, Role Equivalence Attention for Label Propagation in Graph Neural Networks, Proc. of 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), 2020. (Acceptance rate: 21%) PDF

  • Jooho Kim, Hogun Park (*Corresponding Author), A framework for understanding online group behaviors during a catastrophic event, International Journal of Information Management, Elsevier, Volume 51, 2020. (Impact Factor: 8.21, JCR Journal Rank in Category (Information Science): 1/87) PDF BibTeX

  • Hogun Park, Jennifer Neville, Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks, Proc. of 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019. (Acceptance rate: 17.89%) PDF Code BibTeX

  • Hogun Park, Hamid Reza Motahari Nezhad, Learning Procedures from Text: Codifying How-to Procedures in Deep Neural Networks, Proc. of 27th The Web Conference (WWW 2018) - Cognitive Computing Track, 2018. PDF BibTeX

  • Hogun Park, John Moore, Jennifer Neville, Deep Dynamic Relational Classifiers: Exploiting Dynamic Neighborhoods in Complex Networks, Proc. of MAISoN Workshop in 10th ACM Conference on Web Search and Data Mining (WSDM 2017), 2017. PDF BibTeX

  • Dongmahn Seo, Suhyun Kim, Hogun Park, Heedong Ko, Real-Time Panoramic Video Streaming System with Overlaid Interface Concept for Social Media, Multimedia Systems, Volume 20, Issue 6, Springer, 2014. PDF

  • Hogun Park, Sun-Bum Youn, Geun-Yong Lee, Heedong Ko, Trendy Episode Detection at a Very Short Time Granularity for Intelligent VOD Service, Proc. of 9th European Interactive TV Conference (EuroITV 2011, now ACM IMX), 2011 PDF

  • Hogun Park, Sun-Bum Youn, Eugene Hong, Changhyeon Lee, Yong-moo Kwon, Heedong Ko, Myon-Woong Park, Young Tae Sohn, Jae Kwan Kim, Sharing of Baseball Event through Social Media, Proc. of 11th ACM SIGMM International Conference on Multimedia Information Retrieval (MIR 2010, now ACM ICMR), 2010. PDF

  • Hogun Park, Sung-Hyon Myaeng, Gwan Jang, Jong-wook Choi, Sooran Jo, Hyungchul Roh, Interactive Information Seeking Interface for Exploratory Search, Proc. of Human-Computer Interaction and Information Retrieval 2008 (HCIR 2008, now ACM CHIIR), 2008. PDF PDF (Extended Version, published in ICEIS 2008)

  • Hogun Park, Yoonjung Choi, Yuchul Jung, and Sung-Hyun Myaeng, Supporting Mixed Initiative Human-Robot Interaction: A Script-based Cognitive Architecture Approach, Proc. of 21st IEEE International Joint Conference on Neural Network (IJCNN 2008), 2008. PDF

  • Yuchul Jung, Hogun Park, Yoonjung Choi, and Sung-Hyon Myaeng, Designing a Cognitive Case-Based Reasoning Framework for Home Service Robots, Proc. of 16th IEEE International Symposium on Robot Human Interactive Communication (RO-MAN 2007), 2007. PDF

  • Yuchul Jung, Hogun Park, and Sung-Hyon Myaeng, A Hybrid Mood Classification Approach for Blog Text, Proc. of 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2006), 2006. (Acceptance rate: 28.8%) PDF

  • Award
  • Fulbright Fellowship, the U.S. Department of State, 2013 ~ 2018.

  • Best Paper Award, Korea Computer Congress, 2012.

  • Brain Korea 21 Scholarship, National Research Foundation of Korea (NRF), 2006 ~ 2008.

  • Best Undergraduate Student Award: ICA (International Cooperation Agency for Korea IT) President Award at the Commencement, 2006.

  • Government Fellowship, Korea Ministry of Science and Technology, 2003 ~ 2006.

  • 4th Place, International Robot Olympiad, International Robot Olympiad Committee (IROC), 2000.

  • Contact
  • Address

    2066, Seobu-ro, Jangan-gu

    Office 27310A, Engineering Building 2

    Suwon, Republic of Korea,16419

    Email

    hogunpark .at. skku .dot. edu


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