| 2026 | AAAI | LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers. | Minjun Kim, Jaeri Lee, Jongjin Kim, Jeongin Yun, Yongmo Kwon, U Kang |
| 2026 | ACL | SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression. | Jeongin Yun, Jaeri Lee, Jongjin Kim, Minjun Kim, Jinho Song, U Kang |
| 2025 | ICLR | SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning. | Minjun Kim, Jongjin Kim, U Kang |
| 2025 | IJCAI | Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. | Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang |
| 2025 | WSDM | Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users. | Jongjin Kim, U Kang |
| 2024 | KDD | Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection. | Yong-chan Park, Jongjin Kim, U Kang |
| 2023 | PAKDD | Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking. | Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang |
| 2023 | PAKDD | Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. | Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang |
| 2022 | CIKM | Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. | Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang |