| 2025 | AAAI | Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. | Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye |
| 2025 | ICCV | Inference-Time Diffusion Model Distillation. | Geon Yeong Park, Sang Wan Lee, Jong Chul Ye |
| 2024 | CVPR | Self-Supervised Debiasing Using Low Rank Regularization. | Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee |
| 2023 | CVPR | Training Debiased Subnetworks with Contrastive Weight Pruning. | Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye |
| 2022 | CVPR | InfoGCN: Representation Learning for Human Skeleton-based Action Recognition. | Hyung-Gun Chi, Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee, Qixing Huang, Karthik Ramani |
| 2021 | AAAI | Human Uncertainty Inference via Deterministic Ensemble Neural Networks. | Yujin Cha, Sang Wan Lee |
| 2021 | ICCV | Reliably fast adversarial training via latent adversarial perturbation. | Geon Yeong Park, Sang Wan Lee |
| 2021 | ICCV | Information-theoretic regularization for Multi-source Domain Adaptation. | Geon Yeong Park, Sang Wan Lee |
| 2020 | EMNLP | F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. | Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee |
| 2020 | ICASSP | Multi-Speaker and Multi-Domain Emotional Voice Conversion Using Factorized Hierarchical Variational Autoencoder. | Mohamed Elgaar, Jungbae Park, Sang Wan Lee |
| 2019 | ICASSP | Polyphonic Sound Event Detection Using Convolutional Bidirectional Lstm and Synthetic Data-based Transfer Learning. | Seokwon Jung, Jungbae Park, Sang Wan Lee |
| 2019 | ICASSP | Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis. | Jungbae Park, Kijong Han, Yuneui Jeong, Sang Wan Lee |
| 2018 | SMC | Model-Based BCI: A Novel Brain-Computer Interface Framework for Reading Out Learning Strategies Underlying Choices. | Dongjae Kim, Sang Wan Lee |
| 2018 | SMC | Hierarchical Control Architecture Regulating Competition between Model-Based and Context-Dependent Model-Free Reinforcement Learning Strategies. | Dongjae Kim, Geon Young Park, Sang Wan Lee |
| 2018 | SMC | Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression. | Chang Hwa Lee, Sang Wan Lee |
| 2018 | SMC | Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents. | Jeehang Lee, Sang Wan Lee, Julian A. Padget |
| 2018 | SMC | Solving the Memory-Based Memoryless Trade-off Problem for EEG Signal Classification. | Jungbae Park, Sang Wan Lee |
| 2018 | SMC | Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning. | Alisher Tortay, Jeehang Lee, Chang Hwa Lee, Sang Wan Lee |
| 2008 | SNPD | Combined Fuzzy State Q-learning Algorithm to Predict Context Aware User Activity under Uncertainty in Assistive Environment. | Mohamed Ali Feki, Sang Wan Lee, Z. Zenn Bien, Mounir Mokhtari |
| 2007 | ICOST | Context Aware Life Pattern Prediction Using Fuzzy-State Q-Learning. | Mohamed Ali Feki, Sang Wan Lee, Zeungnam Bien, Mounir Mokhtari |
| 2007 | IRI | Agglomerative Fuzzy Clustering based on Bayesian Interpretation. | Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien |
| 2006 | KES | Supervised IAFC Neural Network Based on the Fuzzification of Learning Vector Quantization. | Yong-Soo Kim, Sang Wan Lee, Sukhoon Kang, Yong Sun Baek, Suntae Hwang, Zeungnam Bien |
| 2005 | KES | Training of Feature Extractor via New Cluster Validity - Application to Adaptive Facial Expression Recognition. | Sang Wan Lee, Dae-Jin Kim, Yong-Soo Kim, Zeungnam Bien |
| 2005 | RO-MAN | Facial emotional expression recognition with soft computing techniques. | Dae-Jin Kim, Sang Wan Lee, Zeungnam Bien |