Geonhee Han, Heesoo Jung, Hyunju Kang, Hogun Park*, Out-of-Distribution Robust Explainer for Graph Neural Networks, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. (Acceptance rate: 18.5%)

Seungryeol Baek, Hogun Park*, Edge-induced Subgraph Representation Learning, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. (Acceptance rate: 18.5%)

Seungryeol Baek, Wooseok Sim, Hogun Park*, Measuring Graph-to-graph Semantic Similarity in Knowledge Graphs: An Empirical Evaluation of Knowledge Graph Embeddings, ACM SIGKDD Workshop on Frontiers in Graph Machine Learning for the Large Model Era (GMLLM), 2026.

Woohyun Lee, Hogun Park*, CondPSE: A Polynomial-filtered Structural Encoder with Conditional Modulation for Graphs, ACM SIGKDD Workshop on Frontiers in Graph Machine Learning for the Large Model Era (GMLLM), 2026.

Hyeongcheol Park, Jiyoung Seo, Jaewon Mun, Hogun Park, Wonmin Byeon, Sung June Kim, Hyeonsoo Im, JeungSub Lee, Sangpil Kim, M³KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-augmented Generation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. arXiv

Wooseok Sim, Hogun Park*, Low-pass Personalized Subgraph Federated Recommendation, International Conference on Learning Representations (ICLR), 2026. PDF Code

Hyunju Kang+, Woohyun Lee+, Jaewon Kim, Hogun Park*, Judo: A Juxtaposed Domain-oriented Multimodal Reasoner for Industrial Anomaly QA, International Conference on Learning Representations (ICLR), 2026. PDF Code

Seo Hyun Kim, Jinbok Park, Do Yeon Koo, Hogun Park*, Il Yong Chun*, SToRM: Supervised Token Reduction for Multi-modal LLMs toward Efficient End-to-end Autonomous Driving, IEEE International Conference on Robotics & Automation (ICRA), 2026. arXiv

Jeonghoon Kim, Dongwon Jung, Hogun Park*, Conjunctive Query Embedding-based Few-shot Item Recommendation, Neural Networks, 2026. (Impact Factor: 6.3; JCR Rank: Top 10.4%) PDF Code

Jieming Zhang, Tai-Myoung Chung, Hogun Park*, A Kinematic-guided Dual-branch Framework for Parkinson’s Disease Assessment in Sit-to-Stand Tasks, Engineering Applications of Artificial Intelligence, Elsevier, 2026. (Accepted; Impact Factor: 8.0; JCR Rank: Top 2.5%)

Jaehyun Bae, Heesoo Jung, Hogun Park, Harnessing Spatial Dependency for Domain Generalization in Multivariate Time-series Sensor Data, Expert Systems with Applications, Elsevier, 2026. (Impact Factor: 7.5; JCR Rank: Top 6.1%) PDF Code

Jongwon Park+, Minku Kang+, Wooseok Sim+, Soyoung Lee+, Hogun Park*, Federated Recommender System with Data Valuation for E-commerce Platform, Expert Systems with Applications, Elsevier, 2026. (Impact Factor: 7.5; JCR Rank: Top 6.1%) arXiv PDF Code

Minku Kang, Hogun Park*, Curriculum Guided Personalized Subgraph Federated Learning, ACM International Conference on Information and Knowledge Management (CIKM), 2025. arXiv (with full proofs) PDF Code

Hongjun Jeong+, Minji Kim+, Heesoo Jung, Ko Keun Kim*, Hogun Park*, Complex Reasoning in Knowledge Graph Question Answering Through Query Graph Approximation, Findings of the Association for Computational Linguistics: ACL, 2025. PDF Code

Heesoo Jung+, Chanyong Kim+, Geonhee Han, Hogun Park*, Harnessing Influence Function in Explaining Graph Neural Networks, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. (Acceptance rate: 18.4%) PDF Code

Jang-Kyun Kwak, Jaeseong Kim, Riya Dutta, Min-Jae Kim, Minku Kang, Avis Wee Sin Hui, Yunjeong Yu, Jihoon Shin, Hogun Park*, Donghwan Kim*, Sunkook Kim*, AI-Integrated Optoelectronic Platform for Low-Latency Classification of Toxic Industrial Chemicals, Small, Wiley, 2025. (Impact Factor: 12.1; JCR Rank: Top 7.2%) PDF

Woohyun Lee, Hogun Park*, Self-supervised Adversarial Purification for Graph Neural Networks, International Conference on Machine Learning (ICML), 2025. PDF Code

Hongjun Jeong, Heesoo Jung, Gayeong Kim, Juann Kim, Ko Keun Kim, Hogun Park*, Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025. arXiv PDF Code

Jiwon Jeong, Hyeju Jang*, Hogun Park*, Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation, Findings of the Association for Computational Linguistics: NAACL, 2025. arXiv PDF Code

Heesoo Jung, Hogun Park*, Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition, ACM Web Conference (WWW), 2025. arXiv PDF Code

Hyunju Kang+, Geonhee Han+, Yoonjae Jeong, Hogun Park*, AudioGenX: Explainability on Text-to-Audio Generative models, AAAI Conference on Artificial Intelligence (AAAI), 2025. arXiv PDF Code

Sangho Lee, Il Yong Chun*, Hogun Park*, MAMS: Model-Agnostic Module Selection Framework for Video Captioning, AAAI Conference on Artificial Intelligence (AAAI), 2025. (Selected for oral presentation (Top 6.1% paper)) arXiv PDF Code

Jimyeong Han, Sangpil Kim*, Hogun Park*, MELA: Multi-Event Localization Answering Framework for Video Question Answering, ACM Symposium on Applied Computing (SAC), 2025. (Acceptance rate: 23.0%) PDF

Jongwon Park+, Heesoo Jung+, Hogun Park*, CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders, ACM International Conference on Web Search and Data Mining (WSDM), 2025. (Selected for oral presentation (Top 6.5% paper)) arXiv (with full proofs) PDF Code

Young-gon Kim+, Hyunju Kang+, Beomki Lee+, Hyeok-Jae Jang, Jong-ho Park, Changhee Ha, Hogun Park*, Jong-Won Kim*, A Spectrum of Nonsense-mediated mRNA Decay Efficiency along the Degree of Mutational Constraint, Communications Biology, Nature Portfolio, 2024. (Impact Factor: 5.2; JCR Rank: Top 11.5%) PDF Code

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 Rank: Top 13.5%) arXiv 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 Association for Computational Linguistics: ACL, 2024. 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. 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 Rank: Top 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. 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. arXiv PDF Dataset and Code 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 Rank: Top 8.1%) arXiv PDF

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 Rank: Top 8.1%) arXiv PDF Code

Heesoo Jung, Sangpil Kim, Hogun Park*, Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems, ACM Web Conference (WWW), 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. (Featured on the cover; Impact Factor: 19.924; JCR Rank in Category (PHYSICS, APPLIED): Top 4.7%) PDF

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, Springer Nature, 7, 20, 2023. (Impact Factor: 12.019; JCR Rank in Category (EE): Top 3.8%) PDF Code Video

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

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

Hogun Park, Jennifer Neville, Role Equivalence Attention for Label Propagation in Graph Neural Networks, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 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 Rank in Category (Information Science): 1/87) PDF BibTeX

Hogun Park, Jennifer Neville, Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks, International Joint Conference on Artificial Intelligence (IJCAI), 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, ACM Web Conference (WWW) - Cognitive Computing Track, 2018. PDF BibTeX

Hogun Park, John Moore, Jennifer Neville, Deep Dynamic Relational Classifiers: Exploiting Dynamic Neighborhoods in Complex Networks, MAISoN Workshop at ACM International Conference on Web Search and Data Mining (WSDM), 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, Springer, Volume 20, Issue 6, 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, European Interactive TV Conference (EuroITV, 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, ACM SIGMM International Conference on Multimedia Information Retrieval (MIR, 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, Human-Computer Interaction and Information Retrieval (HCIR, now ACM CHIIR), 2008. PDF PDF (Extended Version, published in ICEIS 2008)

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

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

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