| 2026 | KDD | MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation. | Hyunsoo Kim, Jaewan Moon, Seongmin Park, Jongwuk Lee |
| 2025 | CIKM | MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation. | Ilwoong Baek, Mincheol Yoon, Seongmin Park, Jongwuk Lee |
| 2025 | CIKM | LLM-Enhanced Linear Autoencoders for Recommendation. | Jaewan Moon, Seongmin Park, Jongwuk Lee |
| 2025 | EMNLP | Enhancing Time Awareness in Generative Recommendation. | Sunkyung Lee, Seongmin Park, Jonghyo Kim, Mincheol Yoon, Jongwuk Lee |
| 2025 | ICASSP | Prompt Crossing: Evaluating Whether LLM Response Stem from Jailbreak or Normal Prompt. | Kyungho Kim, Jaejin Seo, Seongmin Park, Jihwa Lee |
| 2025 | ICCV | Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control. | Seongmin Park, Hyungmin Kim, Sangwoo Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi |
| 2025 | NAACL | Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences. | Heejin Kook, Junyoung Kim, Seongmin Park, Jongwuk Lee |
| 2025 | SIGIR | Linear Item-Item Models with Neural Knowledge for Session-based Recommendation. | Minjin Choi, Sunkyung Lee, Seongmin Park, Jongwuk Lee |
| 2025 | SIGIR | Why is Normalization Necessary for Linear Recommenders? | Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee |
| 2025 | WSDM | Temporal Linear Item-Item Model for Sequential Recommendation. | Seongmin Park, Mincheol Yoon, Minjin Choi, Jongwuk Lee |
| 2024 | ACL | Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. | Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi |
| 2024 | COLING | RT-VQ2A2: Real Time Vector Quantized Question Answering with ASR. | Kyungho Kim, Seongmin Park, Jihwa Lee |
| 2024 | COLING | Non-Essential Is NEcessary: Order-agnostic Multi-hop Question Generation. | Kyungho Kim, Seongmin Park, Junseo Lee, Jihwa Lee |
| 2024 | CVPR | Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. | Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi |
| 2024 | HPCA | SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. | Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi |
| 2024 | ICASSP | Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space. | Seongmin Park, Kyungho Kim, Jaejin Seo, Jihwa Lee |
| 2023 | ACL | Cross-task Knowledge Transfer for Extremely Weakly Supervised Text Classification. | Seongmin Park, Kyungho Kim, Jihwa Lee |
| 2023 | CIKM | Toward a Better Understanding of Loss Functions for Collaborative Filtering. | Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee |
| 2023 | EACL | Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. | Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi |
| 2023 | Interspeech | Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space. | Seongmin Park, Jinkyu Seo, Jihwa Lee |
| 2023 | SIGIR | uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering. | Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee |
| 2022 | COLING | LIME: Weakly-Supervised Text Classification without Seeds. | Seongmin Park, Jihwa Lee |
| 2022 | DAC | NN-LUT: neural approximation of non-linear operations for efficient transformer inference. | Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi |
| 2022 | SIGIR | Bilateral Self-unbiased Learning from Biased Implicit Feedback. | Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee |
| 2021 | SIGIR | Dual Unbiased Recommender Learning for Implicit Feedback. | Jae-woong Lee, Seongmin Park, Jongwuk Lee |
| 2020 | WISA | Security Problems of 5G Voice Communication. | Seongmin Park, HyungJin Cho, Youngkwon Park, Bomin Choi, Dowon Kim, Kangbin Yim |