Sang Wan Lee

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 53

Top Topics

Dirichlet Process

Text Generation

Reinforcement Learning

Student Modelling

Top Venues

Publications

Xin Xu, Sang Wan Lee
Decoding Human Prediction Errors for Human-Robot Value Alignment. BCI (2024)
Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee
Learning to Escape: Multi-mode Policy Learning for the Traveling Salesmen Problem. EAIS (2024)
Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models. CoRR (2024)
Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport. CoRR (2024)
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. CoRR (2023)
Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
Training Debiased Subnetworks with Contrastive Weight Pruning. CVPR (2023)
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. NeurIPS (2023)
Hyung-Gun Chi, Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee, Qixing Huang, Karthik Ramani
InfoGCN: Representation Learning for Human Skeleton-based Action Recognition. CVPR (2022)
Jee Hang Lee, Joel Z. Leibo, Su Jin An, Sang Wan Lee
Importance of prefrontal meta control in human-like reinforcement learning. Frontiers Comput. Neurosci. 16 (2022)
Geon Yeong Park, Chanyong Jung, Jong Chul Ye, Sang Wan Lee
Self-supervised debiasing using low rank regularization. CoRR (2022)
Haram Joo, Inhyeok Jeong, Jong Woo Baek, Sang Wan Lee
Predicting Other's Minds Using Model-based Reinforcement Learning. SCIS/ISIS (2022)
Young Ho Kang, Dongjae Kim, Sang Wan Lee
Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface. BCI (2022)
Jungbae Park, Jinyoung Kim, Soonwoo Kwon, Sang Wan Lee
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction. CoRR (2022)
Myeong Hyeon Kim, Dongjae Kim, Eunsong Jo, Sang Wan Lee
Goal-Driven Atari Environment. BCI (2022)
Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
Meta-control of social learning strategies. PLoS Comput. Biol. 18 (2) (2022)
Anil Yaman, Joel Z. Leibo, Giovanni Iacca, Sang Wan Lee
The emergence of division of labor through decentralized social sanctioning. CoRR (2022)
Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
Efficient debiasing with contrastive weight pruning. CoRR (2022)
Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
Meta-control of social learning strategies. CoRR (2021)
Haram Joo, Inhyeok Jeong, Sang Wan Lee
Estimating the Level of Inference Using an Order-Mimic Agent. ACPR (2) (2021)
Jaejoong Kim, Sang Wan Lee, Seokho Yoon, Haeorm Park, Bumseok Jeong
Neurocomputational mechanism of controllability inference under a multi-agent setting. PLoS Comput. Biol. 17 (11) (2021)
Suyeon Heo, Yoondo Sung, Sang Wan Lee
Effects of subclinical depression on prefrontal-striatal model-based and model-free learning. PLoS Comput. Biol. 17 (5) (2021)
Geon Yeong Park, Sang Wan Lee
Information-theoretic regularization for Multi-source Domain Adaptation. ICCV (2021)
Geon Yeong Park, Sang Wan Lee
Reliably fast adversarial training via latent adversarial perturbation. CoRR (2021)
Geon Yeong Park, Sang Wan Lee
Reliably fast adversarial training via latent adversarial perturbation. ICCV (2021)
Jongwoo Seo, Sang Wan Lee
Neural Network-Based Intuitive Physics for Non-Inertial Reference Frames. IEEE Access 9 (2021)
Yujin Cha, Sang Wan Lee
Human Uncertainty Inference via Deterministic Ensemble Neural Networks. AAAI (2021)
Geon Yeong Park, Sang Wan Lee
Information-theoretic regularization for Multi-source Domain Adaptation. CoRR (2021)
Dongjae Kim, Myeong Hyeon Kim, Sang Wan Lee
Decoding learning strategies from EEG signals provides generalizable features for decoding decision. BCI (2021)
Dongjae Kim, Jiseong Park, Jeongseok Hwang, Wan-Hee Cho, Sang Wan Lee
Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment. BCI (2020)
Minryung R. Song, Sang Wan Lee
Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity. Neural Networks 126 (2020)
Hyeonmook Park, Jungbae Park, Sang Wan Lee
End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification. CoRR (2020)
Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. CoRR (2020)
Fengkai Ke, Seungjin Choi, Young Ho Kang, Keun-Ah Cheon, Sang Wan Lee
Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. IEEE Access 8 (2020)
Mohamed Elgaar, Jungbae Park, Sang Wan Lee
Multi-Speaker and Multi-Domain Emotional Voice Conversion Using Factorized Hierarchical Variational Autoencoder. ICASSP (2020)
Dongjae Kim, Jeehang Lee, Jae Hoon Shin, Minsu Abel Yang, Sang Wan Lee
On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms. CoRR (2020)
Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee
F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. EMNLP (1) (2020)
Ben Seymour, Joel Z. Leibo, Su Jin An, Sang Wan Lee
Toward high-performance, memory-efficient, and fast reinforcement learning - Lessons from decision neuroscience. Sci. Robotics 4 (26) (2019)
Seokwon Jung, Jungbae Park, Sang Wan Lee
Polyphonic Sound Event Detection Using Convolutional Bidirectional Lstm and Synthetic Data-based Transfer Learning. ICASSP (2019)
Jungbae Park, Kijong Han, Yuneui Jeong, Sang Wan Lee
Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis. ICASSP (2019)
Dongjae Kim, Sang Wan Lee
Decoding both intention and learning strategies from EEG signals. BCI (2019)
Namrata Sharma, Chang Hwa Lee, Sang Wan Lee
Integrated Platform for Understanding Physical Prior & Task Learning. RiTA (2019)
Chang Hwa Lee, Sang Wan Lee
Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression. SMC (2018)
Dongjae Kim, Sang Wan Lee
Model-Based BCI: A Novel Brain-Computer Interface Framework for Reading Out Learning Strategies Underlying Choices. SMC (2018)
Dongjae Kim, Geon Young Park, Sang Wan Lee
Hierarchical Control Architecture Regulating Competition between Model-Based and Context-Dependent Model-Free Reinforcement Learning Strategies. SMC (2018)
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
Metacognition for a Common Model of Cognition. BICA (2018)
Jungbae Park, Sang Wan Lee
Solving the Memory-Based Memoryless Trade-off Problem for EEG Signal Classification. SMC (2018)
Dongjae Kim, Sang Wan Lee
Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model. BCI (2018)
Alisher Tortay, Jeehang Lee, Chang Hwa Lee, Sang Wan Lee
Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning. SMC (2018)
Jeehang Lee, Sang Wan Lee, Julian A. Padget
Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents. SMC (2018)
Minryung R. Song, Sang Wan Lee
Meta BCI : Hippocampus-striatum network inspired architecture towards flexible BCI. BCI (2018)
Dongjae Kim, Charles Weston, Sang Wan Lee
EEG-based classification of learning strategies : Model-based and model-free reinforcement learning. BCI (2018)
Sang Wan Lee, Taeyoub Yi, Jin-Woo Jung, Zeungnam Bien
Design of a Gait Phase Recognition System That Can Cope With EMG Electrode Location Variation. IEEE Trans Autom. Sci. Eng. 14 (3) (2017)
Sang Wan Lee
Space-time portraits of brain dynamics. BCI (2016)
Jeong-Su Han, Sang Wan Lee, Zeungnam Bien
Feature subset selection using separability index matrix. Inf. Sci. 223 (2013)
Sang Wan Lee, Oliver Prenzel, Zeungnam Bien
Applying Human Learning Principles to User-Centered IoT Systems. Computer 46 (2) (2013)
Moon-Jin Jeon, Sang Wan Lee, Zeungnam Bien
Hand Gesture Recognition Using Multivariate Fuzzy Decision Tree and User Adaptation. Int. J. Fuzzy Syst. Appl. 1 (3) (2011)
Sang Wan Lee, Yong-Soo Kim, Kwang-Hyun Park, Zeungnam Bien
Iterative Bayesian fuzzy clustering toward flexible icon-based assistive software for the disabled. Inf. Sci. 180 (3) (2010)
Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions. IEEE Trans. Knowl. Data Eng. 22 (4) (2010)
Sang Wan Lee, Zeungnam Bien
Representation of a fisher criterion function in a kernel feature space. IEEE Trans. Neural Networks 21 (2) (2010)
Sunha Bae, Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
Fuzzy-state Q-Learning-based human behavior suggestion system in intelligent sweet home. FUZZ-IEEE (2009)
Jae-Hoon Song, Jin-Woo Jung, Sang Wan Lee, Zeungnam Bien
Robust EMG pattern recognition to muscular fatigue effect for powered wheelchair control. J. Intell. Fuzzy Syst. 20 (1-2) (2009)
Mohamed Ali Feki, Sang Wan Lee, Z. Zenn Bien, Mounir Mokhtari
Combined Fuzzy State Q-learning Algorithm to Predict Context Aware User Activity under Uncertainty in Assistive Environment. SNPD (2008)
Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
A Probabilistic Cluster Validity Index for Agglomerative Bayesian Fuzzy Clustering. CIMCA/IAWTIC/ISE (2008)
Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-Based Fuzzy-State Q-learning. CIMCA/IAWTIC/ISE (2008)
Mohamed Ali Feki, Sang Wan Lee, Zeungnam Bien, Mounir Mokhtari
Context Aware Life Pattern Prediction Using Fuzzy-State Q-Learning. ICOST (2007)
Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
Agglomerative Fuzzy Clustering based on Bayesian Interpretation. IRI (2007)
Yong-Soo Kim, Sang Wan Lee, Sukhoon Kang, Yong Sun Baek, Suntae Hwang, Zeungnam Bien
Supervised IAFC Neural Network Based on the Fuzzification of Learning Vector Quantization. KES (3) (2006)
Sang Wan Lee, Dae-Jin Kim, Yong-Soo Kim, Zeungnam Bien
Bayesian Interpretation of Adaptive Fuzzy Neural Network Model. FUZZ-IEEE (2006)
Sang Wan Lee, Dae-Jin Kim, Yong-Soo Kim, Zeungnam Bien
Training of Feature Extractor via New Cluster Validity - Application to Adaptive Facial Expression Recognition. KES (4) (2005)
Dae-Jin Kim, Sang Wan Lee, Zeungnam Bien
Facial emotional expression recognition with soft computing techniques. RO-MAN (2005)
Dae-Jin Kim, Sang Wan Lee, Zeungnam Bien
Facial Emotional Expression Recognition with Soft Computing Techniques. FUZZ-IEEE (2005)