Hogun Park
I am an associate professor in the College of Computing at Sungkyunkwan University (SKKU) and affiliated with Computer Science Engineering (소프트웨어학과), Artificial Intelligence (인공지능대학원), and Intelligent Software (지능형소프트웨어) departments. I obtained my Ph.D. in Computer Science at Purdue University, IN, USA under the supervision of Prof. Jennifer Neville. My research interests lie in the fields of machine learning and data mining. In particular, I focus on learning human interactions, relational structures, graphs, and networks at all scales. Applications include knowledge discovery, user profiling, commonsense reasoning, recommender systems, explainable AI (XAI), and computational social science.
I am also looking for highly motivated M.S. and Ph.D. students. There are several open positions in our lab homepage. Please email me if you are interested in!
Hogun Park (박호건)
Associate Professor (September 2024 - Present)
Assistant Professor (September 2020 - August 2024)
Sungkyunkwan University in Suwon, Republic of Korea
Currently, I am leading a Data Mining Research Lab
Research Intern
IBM Research - Almaden in San Jose, CA, USA
Participated Projects about Adversarial Neural Network and Relationship Classification
Research Intern
IBM WATSON in Yorktown Heights/Somers, NY, USA
Joined a Deep Learning Project for Modeling and Predicting Customers' Bahavior
Research Scientist
Korea Institute of Science and Technology (KIST) in Seoul, Republic of Korea
Worked on Network Analysis, Natural Language Processing, and Human-Media Interaction
Technical Editor
United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT)
Participated Destination Tour Information (DTI) Project
Ph.D. in Computer Science
Purdue University in West Lafayette, IN, USA
Advisor: Jennifer Neville
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
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
* means the (co-)corresponding authorship of the PI, and + represents equal contribution.
Soonwook Park, Donghoon Lee*, Hogun Park*, Enhancing Knowledge Tracing with Concept Map and Response Disentanglement, Knowledge-Based Systems, Elsevier, 2024. (Impact Factor: 7.2, JCR Journal Rank: Top 13.5%) (Accepted) PDF Code
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 Video Poster
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
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.
2066, Seobu-ro, Jangan-gu
Office 27310A, Engineering Building 2
Suwon, Republic of Korea,16419
Email