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 (KES (4), 2005)

Facial emotional expression recognition with soft computing techniques. - Dae-Jin Kim; Sang Wan Lee; Zeungnam Bien (RO-MAN, 2005)

Bayesian Interpretation of Adaptive Fuzzy Neural Network Model. - Sang Wan Lee; Dae-Jin Kim; Yong-Soo Kim; Zeungnam Bien (FUZZ-IEEE, 2006)

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 (KES (3), 2006)

Context Aware Life Pattern Prediction Using Fuzzy-State Q-Learning. - Mohamed Ali Feki; Sang Wan Lee; Zeungnam Bien; Mounir Mokhtari (ICOST, 2007)

Agglomerative Fuzzy Clustering based on Bayesian Interpretation. - Sang Wan Lee; Yong-Soo Kim; Zeungnam Bien (IRI, 2007)

Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-Based Fuzzy-State Q-learning. - Sang Wan Lee; Yong-Soo Kim; Zeungnam Bien (CIMCA/IAWTIC/ISE, 2008)

A Probabilistic Cluster Validity Index for Agglomerative Bayesian Fuzzy Clustering. - Sang Wan Lee; Yong-Soo Kim; Zeungnam Bien (CIMCA/IAWTIC/ISE, 2008)

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 (SNPD, 2008)

Fuzzy-state Q-Learning-based human behavior suggestion system in intelligent sweet home. - Sunha Bae; Sang Wan Lee; Yong-Soo Kim; Zeungnam Bien (FUZZ-IEEE, 2009)

Robust EMG pattern recognition to muscular fatigue effect for powered wheelchair control. - Jae-Hoon Song; Jin-Woo Jung; Sang Wan Lee; Zeungnam Bien (J. Intell. Fuzzy Syst., 2009)

Iterative Bayesian fuzzy clustering toward flexible icon-based assistive software for the disabled. - Sang Wan Lee; Yong-Soo Kim; Kwang-Hyun Park; Zeungnam Bien (Inf. Sci., 2010)

A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions. - Sang Wan Lee; Yong-Soo Kim; Zeungnam Bien (IEEE Trans. Knowl. Data Eng., 2010)

Representation of a fisher criterion function in a kernel feature space. - Sang Wan Lee; Zeungnam Bien (IEEE Trans. Neural Networks, 2010)

Hand Gesture Recognition Using Multivariate Fuzzy Decision Tree and User Adaptation. - Moon-Jin Jeon; Sang Wan Lee; Zeungnam Bien (Int. J. Fuzzy Syst. Appl., 2011)

Applying Human Learning Principles to User-Centered IoT Systems. - Sang Wan Lee; Oliver Prenzel; Zeungnam Bien (Computer, 2013)

Feature subset selection using separability index matrix. - Jeong-Su Han; Sang Wan Lee; Zeungnam Bien (Inf. Sci., 2013)

Learning Systems with FUZZY. - Sang Wan Lee; Z. Zenn Bien (Fifty Years of Fuzzy Logic and its Applications, 2015)

Space-time portraits of brain dynamics. - Sang Wan Lee (BCI, 2016)

Design of a Gait Phase Recognition System That Can Cope With EMG Electrode Location Variation. - Sang Wan Lee; Taeyoub Yi; Jin-Woo Jung; Zeungnam Bien (IEEE Trans Autom. Sci. Eng., 2017)

Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model. - Dongjae Kim; Sang Wan Lee (BCI, 2018)

EEG-based classification of learning strategies : Model-based and model-free reinforcement learning. - Dongjae Kim; Charles Weston; Sang Wan Lee (BCI, 2018)

Meta BCI : Hippocampus-striatum network inspired architecture towards flexible BCI. - Minryung R. Song; Sang Wan Lee (BCI, 2018)

Metacognition for a Common Model of Cognition. - Jerald D. Kralik; Jeehang Lee; Paul S. Rosenbloom; Philip C. Jackson Jr.; Susan L. Epstein; Oscar J. Romero; Ricardo Sanz; Othalia Larue; Hedda R. Schmidtke; Sang Wan Lee; Keith McGreggor (BICA, 2018)

Model-Based BCI: A Novel Brain-Computer Interface Framework for Reading Out Learning Strategies Underlying Choices. - Dongjae Kim; Sang Wan Lee (SMC, 2018)

Hierarchical Control Architecture Regulating Competition between Model-Based and Context-Dependent Model-Free Reinforcement Learning Strategies. - Dongjae Kim; Geon Young Park; Sang Wan Lee (SMC, 2018)

Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression. - Chang Hwa Lee; Sang Wan Lee (SMC, 2018)

Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents. - Jeehang Lee; Sang Wan Lee; Julian A. Padget (SMC, 2018)

Solving the Memory-Based Memoryless Trade-off Problem for EEG Signal Classification. - Jungbae Park; Sang Wan Lee (SMC, 2018)

Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning. - Alisher Tortay; Jeehang Lee; Chang Hwa Lee; Sang Wan Lee (SMC, 2018)

Decoding both intention and learning strategies from EEG signals. - Dongjae Kim; Sang Wan Lee (BCI, 2019)

Polyphonic Sound Event Detection Using Convolutional Bidirectional Lstm and Synthetic Data-based Transfer Learning. - Seokwon Jung; Jungbae Park; Sang Wan Lee (ICASSP, 2019)

Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis. - Jungbae Park; Kijong Han; Yuneui Jeong; Sang Wan Lee (ICASSP, 2019)

Integrated Platform for Understanding Physical Prior & Task Learning. - Namrata Sharma; Chang Hwa Lee; Sang Wan Lee (RiTA, 2019)

Toward high-performance, memory-efficient, and fast reinforcement learning - Lessons from decision neuroscience. - Ben Seymour; Joel Z. Leibo; Su Jin An; Sang Wan Lee (Sci. Robotics, 2019)

Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment. - Dongjae Kim; Jiseong Park; Jeongseok Hwang; Wan-Hee Cho; Sang Wan Lee (BCI, 2020)

F ^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. - Byung-Ju Choi; Jimin Hong; David Keetae Park; Sang Wan Lee (EMNLP (1), 2020)

Multi-Speaker and Multi-Domain Emotional Voice Conversion Using Factorized Hierarchical Variational Autoencoder. - Mohamed Elgaar; Jungbae Park; Sang Wan Lee (ICASSP, 2020)

Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. - Fengkai Ke; Seungjin Choi; Young Ho Kang; Keun-Ah Cheon; Sang Wan Lee (IEEE Access, 2020)

On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms. - Dongjae Kim; Jeehang Lee; Jae Hoon Shin; Minsu Abel Yang; Sang Wan Lee (CoRR, 2020)

End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification. - Hyeonmook Park; Jungbae Park; Sang Wan Lee (CoRR, 2020)

Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity. - Minryung R. Song; Sang Wan Lee (Neural Networks, 2020)

Human Uncertainty Inference via Deterministic Ensemble Neural Networks. - Yujin Cha; Sang Wan Lee (AAAI, 2021)

Estimating the Level of Inference Using an Order-Mimic Agent. - Haram Joo; Inhyeok Jeong; Sang Wan Lee (ACPR (2), 2021)

Decoding learning strategies from EEG signals provides generalizable features for decoding decision. - Dongjae Kim; Myeong Hyeon Kim; Sang Wan Lee (BCI, 2021)

Reliably fast adversarial training via latent adversarial perturbation. - Geon Yeong Park; Sang Wan Lee (ICCV, 2021)

Information-theoretic regularization for Multi-source Domain Adaptation. - Geon Yeong Park; Sang Wan Lee (ICCV, 2021)

Neural Network-Based Intuitive Physics for Non-Inertial Reference Frames. - Jongwoo Seo 001; Sang Wan Lee (IEEE Access, 2021)

Effects of subclinical depression on prefrontal-striatal model-based and model-free learning. - Suyeon Heo; Yoondo Sung; Sang Wan Lee (PLoS Comput. Biol., 2021)

Neurocomputational mechanism of controllability inference under a multi-agent setting. - Jaejoong Kim; Sang Wan Lee; Seokho Yoon; Haeorm Park; Bumseok Jeong (PLoS Comput. Biol., 2021)

Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface. - Young Ho Kang; Dongjae Kim; Sang Wan Lee (BCI, 2022)

Goal-Driven Atari Environment. - Myeong Hyeon Kim; Dongjae Kim; Eunsong Jo; Sang Wan Lee (BCI, 2022)

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 (CVPR, 2022)

Predicting Other's Minds Using Model-based Reinforcement Learning. - Haram Joo; Inhyeok Jeong; Jong Woo Baek; Sang Wan Lee (SCIS/ISIS, 2022)

The emergence of division of labor through decentralized social sanctioning. - Anil Yaman; Joel Z. Leibo; Giovanni Iacca; Sang Wan Lee (CoRR, 2022)

Efficient debiasing with contrastive weight pruning. - Geon Yeong Park; Sangmin Lee 017; Sang Wan Lee; Jong Chul Ye (CoRR, 2022)

Self-supervised debiasing using low rank regularization. - Geon Yeong Park; Chanyong Jung; Jong Chul Ye; Sang Wan Lee (CoRR, 2022)

SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction. - Jungbae Park; Jinyoung Kim; Soonwoo Kwon; Sang Wan Lee (CoRR, 2022)

Importance of prefrontal meta control in human-like reinforcement learning. - Jee Hang Lee; Joel Z. Leibo; Su Jin An; Sang Wan Lee (Frontiers Comput. Neurosci., 2022)

Meta-control of social learning strategies. - Anil Yaman; Nicolas Bredèche; Onur Çaylak; Joel Z. Leibo; Sang Wan Lee (PLoS Comput. Biol., 2022)

Training Debiased Subnetworks with Contrastive Weight Pruning. - Geon Yeong Park; Sangmin Lee 017; Sang Wan Lee; Jong Chul Ye (CVPR, 2023)

Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. - Geon Yeong Park; Jeongsol Kim; Beomsu Kim; Sang Wan Lee; Jong Chul Ye (NeurIPS, 2023)

Decoding Human Prediction Errors for Human-Robot Value Alignment. - Xin Xu; Sang Wan Lee (BCI, 2024)

Self-Supervised Debiasing Using Low Rank Regularization. - Geon Yeong Park; Chanyong Jung; Sangmin Lee 017; Jong Chul Ye; Sang Wan Lee (CVPR, 2024)

Learning to Escape: Multi-mode Policy Learning for the Traveling Salesmen Problem. - Myoung Hoon Ha; Seung-geun Chi; Sang Wan Lee (EAIS, 2024)

Pretraining with Random Noise for Fast and Robust Learning without Weight Transport. - Jeonghwan Cheon; Sang Wan Lee; Se-Bum Paik (NeurIPS, 2024)

Transformation-Based Data Synthesis for Limited Sample Scenario. - Chang-Hwa Lee; Sang Wan Lee (IEEE Access, 2024)

Inference-Time Diffusion Model Distillation. - Geon Yeong Park; Sang Wan Lee; Jong Chul Ye (CoRR, 2024)

Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. - Geon Yeong Park; Hyeonho Jeong; Sang Wan Lee; Jong Chul Ye (AAAI, 2025)