| 2026 | DASFAA | Multimodal Drug Recommendation with Quantum Chemical Molecular Representations. | Yujin Kim, Seoeun Park, Chongmyung Kwon, Charmgil Hong |
| 2025 | AVSS | Multimodal Clinical Decision Support for Melanoma Diagnosis Using Retrieval-Augmented Generation and Vision-Language Models. | Jihyun Moon, Charmgil Hong |
| 2025 | AVSS | Fine-Grained Video Indexing and Retrieval with Vision-Language Models. | Dong Gun Park, Soyeon Park, Chang Ha Lee, Hyunkyoo Choi, Charmgil Hong |
| 2025 | CIKM | Quantum Deepflow: A Quantum-Integrated Forecasting Platform for Strategic Decisions in Raw Material Procurement. | Charmgil Hong, Doohee Chung, Jongyeong Kim, Heewon Jung |
| 2025 | MICCAI | Harnessing EHRs for Diffusion-Based Anomaly Detection on Chest X-Rays. | Harim Kim, Yuhan Wang, Minkyu Ahn, Heeyoul Choi, Yuyin Zhou, Charmgil Hong |
| 2025 | MICCAI | MMM: Quantum-Chemical Molecular Representation Learning for Combinatorial Drug Recommendation. | Chongmyung Kwon, Yujin Kim, Seoeun Park, Yunji Lee, Charmgil Hong |
| 2025 | MICCAI | Retrieval-Augmented VLMs for Multimodal Melanoma Diagnosis. | Jihyun Moon, Charmgil Hong |
| 2025 | MICCAI | Transformer-Based Risk Estimation of HCC in Patients with Chronic Hepatitis B. | Soyeon Park, Heeseo Jeong, Soon Sun Kim, Jae Youn Cheong, Charmgil Hong |
| 2025 | PACLIC | Conceptual Metaphors in Food Reviews: LLM-Based Implications for Korean Discourse. | Charmgil Hong, Jong-Bok Kim, Seulkee Park, Yunseong Choe |
| 2024 | AVSS | AREST: Attention-Based Red-Light Violation Detection for Safety Technology. | Harim Kim, Minchae Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong |
| 2024 | AVSS | VATMAN: Video Anomaly Transformer for Monitoring Accidents and Nefariousness. | Harim Kim, Chang Ha Lee, Charmgil Hong |
| 2024 | CIKM | Transformer for Point Anomaly Detection. | Harim Kim, Chang Ha Lee, Charmgil Hong |
| 2024 | IJCAI | Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review. | Jaemin Jung, Soonyong Park, Harim Kim, Chang Ha Lee, Charmgil Hong |
| 2024 | PACLIC | Bridging the Linguistic Divide: Developing a North-South Korean Parallel Corpus for Machine Translation. | Hannah Hyesun Chun, Chanju Lee, Hyunkyoo Choi, Charmgil Hong |
| 2023 | ACIIDS | AWS: GNNs that Aggregate with Self-node Representation for Dehydrogenation Enthalpy Prediction. | Geonyeong Choi, Hyunwoo Yook, Jeong-Woo Han, Charmgil Hong |
| 2023 | ACIIDS | Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder-Based Support Vector Data Description. | Harim Kim, Chang Ha Lee, Charmgil Hong |
| 2018 | FlAIRS | Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data. | Charmgil Hong, Milos Hauskrecht |
| 2016 | AAAI | Multivariate Conditional Outlier Detection and Its Clinical Application. | Charmgil Hong, Milos Hauskrecht |
| 2015 | AAAI | Multivariate Conditional Anomaly Detection and Its Clinical Application. | Charmgil Hong, Milos Hauskrecht |
| 2015 | SDM | A Generalized Mixture Framework for Multi-label Classification. | Charmgil Hong, Iyad Batal, Milos Hauskrecht |
| 2014 | CIKM | A Mixtures-of-Trees Framework for Multi-Label Classification. | Charmgil Hong, Iyad Batal, Milos Hauskrecht |
| 2014 | SDM | An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. | Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht |
| 2013 | CIKM | An efficient probabilistic framework for multi-dimensional classification. | Iyad Batal, Charmgil Hong, Milos Hauskrecht |