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ORCIDSang Wan Lee
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2020 – today
- 2024
[c43]Xin Xu
, Sang Wan Lee:
Decoding Human Prediction Errors for Human-Robot Value Alignment. BCI 2024: 1-5- [c42]Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee:
Self-Supervised Debiasing Using Low Rank Regularization. CVPR 2024: 12395-12405 - [c41]Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee:
Learning to Escape: Multi-mode Policy Learning for the Traveling Salesmen Problem. EAIS 2024: 1-11 - [i13]Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye:
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models. CoRR abs/2403.15249 (2024) - [i12]Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik:
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport. CoRR abs/2405.16731 (2024) - 2023
- [c40]Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye:
Training Debiased Subnetworks with Contrastive Weight Pruning. CVPR 2023: 7929-7938 - [c39]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 - [i11]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 abs/2306.09869 (2023) - 2022
- [j16]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) - [j15]Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee:
Meta-control of social learning strategies. PLoS Comput. Biol. 18(2) (2022) - [c38]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: 1-5 - [c37]Myeong Hyeon Kim, Dongjae Kim, Eunsong Jo, Sang Wan Lee:
Goal-Driven Atari Environment. BCI 2022: 1-4 - [c36]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: 20154-20164 - [c35]Haram Joo, Inhyeok Jeong, Jong Woo Baek, Sang Wan Lee:
Predicting Other's Minds Using Model-based Reinforcement Learning. SCIS/ISIS 2022: 1-6 - [i10]Anil Yaman, Joel Z. Leibo, Giovanni Iacca, Sang Wan Lee:
The emergence of division of labor through decentralized social sanctioning. CoRR abs/2208.05568 (2022) - [i9]Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye:
Efficient debiasing with contrastive weight pruning. CoRR abs/2210.05247 (2022) - [i8]Geon Yeong Park, Chanyong Jung, Jong Chul Ye, Sang Wan Lee:
Self-supervised debiasing using low rank regularization. CoRR abs/2210.05248 (2022) - [i7]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 abs/2210.09012 (2022) - 2021
- [j14]Jongwoo Seo, Sang Wan Lee:
Neural Network-Based Intuitive Physics for Non-Inertial Reference Frames. IEEE Access 9: 114246-114254 (2021) - [j13]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) - [j12]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) - [c34]Yujin Cha, Sang Wan Lee:
Human Uncertainty Inference via Deterministic Ensemble Neural Networks. AAAI 2021: 5877-5886 - [c33]Haram Joo, Inhyeok Jeong, Sang Wan Lee:
Estimating the Level of Inference Using an Order-Mimic Agent. ACPR (2) 2021: 116-126 - [c32]Dongjae Kim, Myeong Hyeon Kim, Sang Wan Lee:
Decoding learning strategies from EEG signals provides generalizable features for decoding decision. BCI 2021: 1-5 - [c31]Geon Yeong Park, Sang Wan Lee:
Reliably fast adversarial training via latent adversarial perturbation. ICCV 2021: 7738-7747 - [c30]Geon Yeong Park, Sang Wan Lee:
Information-theoretic regularization for Multi-source Domain Adaptation. ICCV 2021: 9194-9203 - [i6]Geon Yeong Park, Sang Wan Lee:
Information-theoretic regularization for Multi-source Domain Adaptation. CoRR abs/2104.01568 (2021) - [i5]Geon Yeong Park, Sang Wan Lee:
Reliably fast adversarial training via latent adversarial perturbation. CoRR abs/2104.01575 (2021) - [i4]Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee:
Meta-control of social learning strategies. CoRR abs/2106.10015 (2021) - 2020
- [j11]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: 153341-153352 (2020) - [j10]Minryung R. Song, Sang Wan Lee:
Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity. Neural Networks 126: 95-107 (2020) - [c29]Dongjae Kim, Jiseong Park, Jeongseok Hwang, Wan-Hee Cho, Sang Wan Lee:
Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment. BCI 2020: 1-3 - [c28]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: 9167-9182 - [c27]Mohamed Elgaar, Jungbae Park, Sang Wan Lee:
Multi-Speaker and Multi-Domain Emotional Voice Conversion Using Factorized Hierarchical Variational Autoencoder. ICASSP 2020: 7769-7773 - [i3]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 abs/2007.04578 (2020) - [i2]Hyeonmook Park, Jungbae Park, Sang Wan Lee:
End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification. CoRR abs/2008.06146 (2020) - [i1]Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee:
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. CoRR abs/2009.09417 (2020)
2010 – 2019
- 2019
- [j9]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) - [c26]Dongjae Kim, Sang Wan Lee:
Decoding both intention and learning strategies from EEG signals. BCI 2019: 1-4 - [c25]Seokwon Jung, Jungbae Park, Sang Wan Lee:
Polyphonic Sound Event Detection Using Convolutional Bidirectional Lstm and Synthetic Data-based Transfer Learning. ICASSP 2019: 885-889 - [c24]Jungbae Park, Kijong Han, Yuneui Jeong, Sang Wan Lee:
Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis. ICASSP 2019: 5896-5900 - [c23]Namrata Sharma, Chang Hwa Lee, Sang Wan Lee:
Integrated Platform for Understanding Physical Prior & Task Learning. RiTA 2019: 199-204 - 2018
- [c22]Dongjae Kim, Sang Wan Lee:
Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model. BCI 2018: 1-3 - [c21]Dongjae Kim, Charles Weston, Sang Wan Lee:
EEG-based classification of learning strategies : Model-based and model-free reinforcement learning. BCI 2018: 1-3 - [c20]Minryung R. Song, Sang Wan Lee:
Meta BCI : Hippocampus-striatum network inspired architecture towards flexible BCI. BCI 2018: 1-3 - [c19]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: 730-739 - [c18]Dongjae Kim, Sang Wan Lee:
Model-Based BCI: A Novel Brain-Computer Interface Framework for Reading Out Learning Strategies Underlying Choices. SMC 2018: 480-484 - [c17]Jungbae Park, Sang Wan Lee:
Solving the Memory-Based Memoryless Trade-off Problem for EEG Signal Classification. SMC 2018: 505-510 - [c16]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: 990-994 - [c15]Jeehang Lee, Sang Wan Lee, Julian A. Padget:
Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents. SMC 2018: 2466-2471 - [c14]Chang Hwa Lee, Sang Wan Lee:
Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression. SMC 2018: 2820-2824 - [c13]Alisher Tortay, Jeehang Lee, Chang Hwa Lee, Sang Wan Lee:
Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning. SMC 2018: 3069-3074 - 2017
- [j8]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): 1429-1439 (2017) - 2016
- [c12]Sang Wan Lee:
Space-time portraits of brain dynamics. BCI 2016: 1-3 - 2015
- [p1]Sang Wan Lee, Z. Zenn Bien:
Learning Systems with FUZZY. Fifty Years of Fuzzy Logic and its Applications 2015: 39-50 - 2013
- [j7]Sang Wan Lee, Oliver Prenzel, Zeungnam Bien:
Applying Human Learning Principles to User-Centered IoT Systems. Computer 46(2): 46-52 (2013) - [j6]Jeong-Su Han, Sang Wan Lee, Zeungnam Bien:
Feature subset selection using separability index matrix. Inf. Sci. 223: 102-118 (2013) - 2011
- [j5]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): 15-31 (2011) - 2010
- [j4]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): 325-340 (2010) - [j3]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): 479-492 (2010) - [j2]Sang Wan Lee, Zeungnam Bien:
Representation of a fisher criterion function in a kernel feature space. IEEE Trans. Neural Networks 21(2): 333-339 (2010)
2000 – 2009
- 2009
- [j1]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): 3-12 (2009) - [c11]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: 283-287 - 2008
- [c10]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: 362-367 - [c9]Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien:
A Probabilistic Cluster Validity Index for Agglomerative Bayesian Fuzzy Clustering. CIMCA/IAWTIC/ISE 2008: 368-373 - [c8]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: 57-62 - 2007
- [c7]Mohamed Ali Feki, Sang Wan Lee, Zeungnam Bien, Mounir Mokhtari:
Context Aware Life Pattern Prediction Using Fuzzy-State Q-Learning. ICOST 2007: 188-195 - [c6]Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien:
Agglomerative Fuzzy Clustering based on Bayesian Interpretation. IRI 2007: 342-347 - 2006
- [c5]Sang Wan Lee, Dae-Jin Kim, Yong-Soo Kim, Zeungnam Bien:
Bayesian Interpretation of Adaptive Fuzzy Neural Network Model. FUZZ-IEEE 2006: 2178-2183 - [c4]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: 248-254 - 2005
- [c3]Dae-Jin Kim, Sang Wan Lee, Zeungnam Bien:
Facial Emotional Expression Recognition with Soft Computing Techniques. FUZZ-IEEE 2005: 737-742 - [c2]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: 542-548 - [c1]Dae-Jin Kim, Sang Wan Lee, Zeungnam Bien:
Facial emotional expression recognition with soft computing techniques. RO-MAN 2005: 661-666
Coauthor Index
aka: Zeungnam Bien
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