| 2026 | AAAI | Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection. | Minseo Kang, Seunghwan Park, Dongha Kim |
| 2026 | LREC | Automatic Inter-document Multi-hop Scientific QA Generation. | Seungmin Lee, Dongha Kim, Yuni Jeon, Junyoung Koh, Min Song |
| 2025 | AAAI | ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect. | Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim |
| 2025 | CIKM | Federated Continual Recommendation. | Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu |
| 2025 | WWW | Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph. | Deeksha Prahlad, Chanhee Lee, Dongha Kim, Hokeun Kim |
| 2024 | AAAI | IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. | Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim |
| 2024 | ICML | ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models. | Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim |
| 2023 | SENSYS | Poster Abstract: Securing Edge-Based Real-Time IoT Systems. | Dongha Kim, Hokeun Kim |
| 2022 | ICCD | Energy-Efficient Bus Encoding Techniques for Next-Generation PAM-4 DRAM Interfaces. | Youri Su, Sanghun Lee, Eunji Song, Dongha Kim, Jaeduk Han, Hokeun Kim |
| 2022 | ICML | Learning fair representation with a parametric integral probability metric. | Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim |
| 2021 | AAAI | Kernel-convoluted Deep Neural Networks with Data Augmentation. | Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik |
| 2020 | AISTATS | On casting importance weighted autoencoder to an EM algorithm to learn deep generative models. | Dongha Kim, Jaesung Hwang, Yongdai Kim |