• 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
  •           * means the (co-)corresponding authorship of the PI, and + represents equal contribution.

  • Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park*, Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning, Findings of the Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), 2024 (Accepted). PDF Code

  • Hyunju Kang, Geonhee Han, Hogun Park*, UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models, International Conference on Learning Representations (ICLR 2024), 2024. PDF Code

  • Sungjune Kim, Gyusam Chang, Wonseok Roh, Dae-Neung Sohn, Jung-Tae Lee, Hogun Park*, Sangpil Kim*, Self-supervised Multimodal Graph Convolutional Network for Collaborative Filtering, Information Sciences, Elsevier, 2024. (Impact Factor: 8.1, JCR Journal Rank: 7.9%) PDF

  • Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park and Jongwuk Lee, Toward a Better Understanding of Loss Functions for Collaborative Filtering, ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023. (Acceptance rate: 24%) Arxiv PDF Code

  • Sookyung Kim+, Gayoung Kim+, Ko Keun Kim, Suchan Park, Heesoo Jung, Hogun Park*, Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023. (Acceptance rate: 22.1%) Arxiv PDF Dataset and Code 2-mins Promotion Video

  • Hogun Park, Jennifer Neville, Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness, Neural Networks, 2023. (Impact Factor: 9.657, JCR Journal Rank: 8.1%) Arxiv PDF Code

  • Hogun Park, Aly Megahed, Peifeng Yin, Yuya Ong, Pravar Mahajan, Pei Guo, Incorporating Experts’ Judgment into Machine Learning Models, Expert Systems with Applications, Elsevier, 2023. (Impact Factor: 8.665, JCR Journal Rank: 8.1%) Arxiv PDF Code

  • Heesoo Jung, Sangpil Kim, Hogun Park*, Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems, The Web Conference (WWW 2023), 2023. (Acceptance rate: 19.2%). PDF Code

  • Srinivas Gandla, Changgyun Moon, Seungho Baek, Hogun Park*, Seonkuk Kim*. Laser-induced carbonization for anticounterfeiting tags, Advanced Functional Materials, 2023. (Accepted As a Cover Page, Impact Factor: 19.924, JCR Journal Rank in Category (PHYSICS, APPLIED) : 4.7% (8/161)) PDF Code

  • Hogun Park, Providing Post-hoc Explanation for Node Representation Learning Models Through Inductive Conformal Predictions, IEEE Access, 2023. PDF

  • Heesoo Jung+, Soyoung Lee+, Hyeyun Lee+, Jaeseong Kim+, Srinivas Gandla*, Kyung Jae Yoon*, Hogun Park*, Seonkuk Kim*, Stretchable Array sEMG Sensor with Graph Neural Network for Static and Dynamic Gestures Recognition System, npj Flexible Electronics - The Nature Partner Journals series, 7, 20, Springer Nature, 2023. (Impact Factor: 12.019, JCR Journal Rank in Category (EE) : 3.8% (11/276)) PDF Code Video

  • Hyunju Kang, Hogun Park, Providing Node-level Local Explanation for node2vec through Reinforcement Learning, Proc. of the Machine Learning on Graphs (MLoG) Workshop at the 15th ACM Conference on Web Search and Data Mining (WSDM 2022), 2022. PDF

  • I Luk Kim, Yunhui Zheng, Hogun Park, Weihang Wang, Wei You, Yousra Aafer, Xiangyu Zhang, Finding Client-side Business Flow Tampering Vulnerabilities, Proc. of the 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 the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), 2020. (Acceptance rate: 21%) PDF

  • Jooho Kim, Hogun Park*, 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 the 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 the 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 the 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 the 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 the 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 the 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 the 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 the 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 the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2006), 2006. (Acceptance rate: 28.8%) PDF

  • Award
  • Three Outstanding Paper Awards (Top 10\% of Accepted Papers), Korea Software Congress (The largest Korean Conference in AI), 2021-2022.

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

  • Outstanding 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


    hogunpark .at. skku .dot. edu

  • Back to the Top