| 2025 | AAAI | AudioGenX: Explainability on Text-to-Audio Generative Models. | Hyunju Kang, Geonhee Han, Yoonjae Jeong, Hogun Park |
| 2025 | AAAI | MAMS: Model-Agnostic Module Selection Framework for Video Captioning. | Sangho Lee, Il Yong Chun, Hogun Park |
| 2025 | ACL | Enhancing Complex Reasoning in Knowledge Graph Question Answering through Query Graph Approximation. | Hongjun Jeong, Minji Kim, Heesoo Jung, Ko Keun Kim, Hogun Park |
| 2025 | CIKM | Curriculum Guided Personalized Subgraph Federated Learning. | Minku Kang, Hogun Park |
| 2025 | ICML | Self-supervised Adversarial Purification for Graph Neural Networks. | Woohyun Lee, Hogun Park |
| 2025 | KDD | Harnessing Influence Function in Explaining Graph Neural Networks. | Heesoo Jung, Chanyong Kim, Geonhee Han, Hogun Park |
| 2025 | NAACL | Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation. | Jiwon Jeong, Hyeju Jang, Hogun Park |
| 2025 | PAKDD | Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding. | Hongjun Jeong, Heesoo Jung, Gayeong Kim, Juann Kim, Ko Keun Kim, Hogun Park |
| 2025 | WWW | Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition. | Heesoo Jung, Hogun Park |
| 2025 | SAC | MELA: Multi-Event Localization Answering Framework for Video Question Answering. | Jimyeong Han, Sangpil Kim, Hogun Park |
| 2025 | WSDM | CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders. | Jongwon Park, Heesoo Jung, Hogun Park |
| 2024 | ACL | Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. | Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park |
| 2024 | ICLR | UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models. | Hyunju Kang, Geonhee Han, Hogun Park |
| 2023 | CIKM | Toward a Better Understanding of Loss Functions for Collaborative Filtering. | Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee |
| 2023 | KDD | Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning. | Gayeong Kim, Sookyung Kim, Ko Keun Kim, Suchan Park, Heesoo Jung, Hogun Park |
| 2023 | WWW | Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems. | Heesoo Jung, Sangpil Kim, Hogun Park |
| 2020 | ICSE | Finding client-side business flow tampering vulnerabilities. | I Luk Kim, Yunhui Zheng, Hogun Park, Weihang Wang, Wei You, Yousra Aafer, Xiangyu Zhang |
| 2020 | PAKDD | Role Equivalence Attention for Label Propagation in Graph Neural Networks. | Hogun Park, Jennifer Neville |
| 2019 | IJCAI | Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks. | Hogun Park, Jennifer Neville |
| 2018 | WWW | Learning Procedures from Text: Codifying How-to Procedures in Deep Neural Networks. | Hogun Park, Hamid Reza Motahari-Nezhad |
| 2012 | DASFAA | Review Summarization Based on Linguistic Knowledge. | Kyung-Mi Park, Hogun Park, Hyoung-Gon Kim, Heedong Ko |
| 2008 | IJCNN | Supporting mixed initiative human-robot interaction: A script-based cognitive architecture approach. | Hogun Park, Yoonjung Choi, Yuchul Jung, Sung-Hyon Myaeng |
| 2007 | RO-MAN | Designing a Cognitive Case-Based Planning Framework for Home Service Robots. | Yuchul Jung, Hogun Park, Yoonjung Choi, Sung-Hyon Myaeng |
| 2006 | PRICAI | A Hybrid Mood Classification Approach for Blog Text. | Yuchul Jung, Hogun Park, Sung-Hyon Myaeng |