Sang Wan Lee - RankMe

77 papers A* 9B 10C 2Misc 4Journal 31Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. AAAI Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
2024	—	`conf`	Decoding Human Prediction Errors for Human-Robot Value Alignment. BCI Xin Xu, Sang Wan Lee
2024	J	`jnl`	Inference-Time Diffusion Model Distillation. CoRR Geon Yeong Park, Sang Wan Lee, Jong Chul Ye
2024	—	`conf`	Learning to Escape: Multi-mode Policy Learning for the Traveling Salesmen Problem. EAIS Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee
2024	A*	`conf`	Pretraining with Random Noise for Fast and Robust Learning without Weight Transport. NeurIPS Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik
2024	J	`jnl`	Pretraining with Random Noise for Fast and Robust Learning without Weight Transport. CoRR Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik
2024	A*	`conf`	Self-Supervised Debiasing Using Low Rank Regularization. CVPR Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee
2024	J	`jnl`	Spectral Motion Alignment for Video Motion Transfer using Diffusion Models. CoRR Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
2024	J	`jnl`	Transformation-Based Data Synthesis for Limited Sample Scenario. IEEE Access Chang-Hwa Lee, Sang Wan Lee
2023	A*	`conf`	Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. NeurIPS Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
2023	J	`jnl`	Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. CoRR Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
2023	A*	`conf`	Training Debiased Subnetworks with Contrastive Weight Pruning. CVPR Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
2022	J	`jnl`	Efficient debiasing with contrastive weight pruning. CoRR Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
2022	—	`conf`	Goal-Driven Atari Environment. BCI Myeong Hyeon Kim, Dongjae Kim, Eunsong Jo, Sang Wan Lee
2022	J	`jnl`	Importance of prefrontal meta control in human-like reinforcement learning. Frontiers Comput. Neurosci. Jee Hang Lee, Joel Z. Leibo, Su Jin An, Sang Wan Lee
2022	A*	`conf`	InfoGCN: Representation Learning for Human Skeleton-based Action Recognition. CVPR Hyung-Gun Chi, Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee, Qixing Huang, Karthik Ramani
2022	—	`conf`	Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface. BCI Young Ho Kang, Dongjae Kim, Sang Wan Lee
2022	J	`jnl`	Meta-control of social learning strategies. PLoS Comput. Biol. Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
2022	—	`conf`	Predicting Other's Minds Using Model-based Reinforcement Learning. SCIS/ISIS Haram Joo, Inhyeok Jeong, Jong Woo Baek, Sang Wan Lee
2022	J	`jnl`	SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction. CoRR Jungbae Park, Jinyoung Kim, Soonwoo Kwon, Sang Wan Lee
2022	J	`jnl`	Self-supervised debiasing using low rank regularization. CoRR Geon Yeong Park, Chanyong Jung, Jong Chul Ye, Sang Wan Lee
2022	J	`jnl`	The emergence of division of labor through decentralized social sanctioning. CoRR Anil Yaman, Joel Z. Leibo, Giovanni Iacca, Sang Wan Lee
2021	—	`conf`	Decoding learning strategies from EEG signals provides generalizable features for decoding decision. BCI Dongjae Kim, Myeong Hyeon Kim, Sang Wan Lee
2021	J	`jnl`	Effects of subclinical depression on prefrontal-striatal model-based and model-free learning. PLoS Comput. Biol. Suyeon Heo, Yoondo Sung, Sang Wan Lee
2021	—	`conf`	Estimating the Level of Inference Using an Order-Mimic Agent. ACPR (2) Haram Joo, Inhyeok Jeong, Sang Wan Lee
2021	A*	`conf`	Human Uncertainty Inference via Deterministic Ensemble Neural Networks. AAAI Yujin Cha, Sang Wan Lee
2021	A*	`conf`	Information-theoretic regularization for Multi-source Domain Adaptation. ICCV Geon Yeong Park, Sang Wan Lee
2021	J	`jnl`	Information-theoretic regularization for Multi-source Domain Adaptation. CoRR Geon Yeong Park, Sang Wan Lee
2021	J	`jnl`	Meta-control of social learning strategies. CoRR Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
2021	J	`jnl`	Neural Network-Based Intuitive Physics for Non-Inertial Reference Frames. IEEE Access Jongwoo Seo, Sang Wan Lee
2021	J	`jnl`	Neurocomputational mechanism of controllability inference under a multi-agent setting. PLoS Comput. Biol. Jaejoong Kim, Sang Wan Lee, Seokho Yoon, Haeorm Park, Bumseok Jeong
2021	A*	`conf`	Reliably fast adversarial training via latent adversarial perturbation. ICCV Geon Yeong Park, Sang Wan Lee
2021	J	`jnl`	Reliably fast adversarial training via latent adversarial perturbation. CoRR Geon Yeong Park, Sang Wan Lee
2020	—	`conf`	Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment. BCI Dongjae Kim, Jiseong Park, Jeongseok Hwang, Wan-Hee Cho, Sang Wan Lee
2020	J	`jnl`	Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity. Neural Networks Minryung R. Song, Sang Wan Lee
2020	J	`jnl`	End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification. CoRR Hyeonmook Park, Jungbae Park, Sang Wan Lee
2020	J	`jnl`	Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. IEEE Access Fengkai Ke, Seungjin Choi, Young Ho Kang, Keun-Ah Cheon, Sang Wan Lee
2020	—	`conf`	F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. EMNLP (1) Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee
2020	J	`jnl`	F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. CoRR Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee
2020	Misc	`conf`	Multi-Speaker and Multi-Domain Emotional Voice Conversion Using Factorized Hierarchical Variational Autoencoder. ICASSP Mohamed Elgaar, Jungbae Park, Sang Wan Lee
2020	J	`jnl`	On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms. CoRR Dongjae Kim, JeeHang Lee, Jae Hoon Shin, Minsu Abel Yang, Sang Wan Lee
2019	—	`conf`	Decoding both intention and learning strategies from EEG signals. BCI Dongjae Kim, Sang Wan Lee
2019	—	`conf`	Integrated Platform for Understanding Physical Prior & Task Learning. RiTA Namrata Sharma, Chang Hwa Lee, Sang Wan Lee
2019	Misc	`conf`	Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis. ICASSP Jungbae Park, Kijong Han, Yuneui Jeong, Sang Wan Lee
2019	Misc	`conf`	Polyphonic Sound Event Detection Using Convolutional Bidirectional Lstm and Synthetic Data-based Transfer Learning. ICASSP SeokWon Jung, Jungbae Park, Sang Wan Lee
2019	J	`jnl`	Toward high-performance, memory-efficient, and fast reinforcement learning - Lessons from decision neuroscience. Sci. Robotics Ben Seymour, Joel Z. Leibo, Su Jin An, Sang Wan Lee
2018	B	`conf`	Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning. SMC Alisher Tortay, JeeHang Lee, Chang Hwa Lee, Sang Wan Lee
2018	—	`conf`	Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model. BCI Dongjae Kim, Sang Wan Lee
2018	—	`conf`	EEG-based classification of learning strategies : Model-based and model-free reinforcement learning. BCI Dongjae Kim, Charles Weston, Sang Wan Lee
2018	B	`conf`	Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression. SMC Chang Hwa Lee, Sang Wan Lee
2018	B	`conf`	Hierarchical Control Architecture Regulating Competition between Model-Based and Context-Dependent Model-Free Reinforcement Learning Strategies. SMC Dongjae Kim, Geon Young Park, Sang Wan Lee
2018	—	`conf`	Meta BCI : Hippocampus-striatum network inspired architecture towards flexible BCI. BCI Minryung R. Song, Sang Wan Lee
2018	—	`conf`	Metacognition for a Common Model of Cognition. BICA 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
2018	B	`conf`	Model-Based BCI: A Novel Brain-Computer Interface Framework for Reading Out Learning Strategies Underlying Choices. SMC Dongjae Kim, Sang Wan Lee
2018	B	`conf`	Solving the Memory-Based Memoryless Trade-off Problem for EEG Signal Classification. SMC Jungbae Park, Sang Wan Lee
2018	B	`conf`	Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents. SMC JeeHang Lee, Sang Wan Lee, Julian A. Padget
2017	J	`jnl`	Design of a Gait Phase Recognition System That Can Cope With EMG Electrode Location Variation. IEEE Trans Autom. Sci. Eng. Sang Wan Lee, Taeyoub Yi, Jin-Woo Jung, Zeungnam Bien
2016	—	`conf`	Space-time portraits of brain dynamics. BCI Sang Wan Lee
2015	—	`ch.`	Learning Systems with FUZZY. Fifty Years of Fuzzy Logic and its Applications Sang Wan Lee, Z. Zenn Bien
2013	J	`jnl`	Applying Human Learning Principles to User-Centered IoT Systems. Computer Sang Wan Lee, Oliver Prenzel, Zeungnam Bien
2013	J	`jnl`	Feature subset selection using separability index matrix. Inf. Sci. Jeong-Su Han, Sang Wan Lee, Zeungnam Bien
2011	J	`jnl`	Hand Gesture Recognition Using Multivariate Fuzzy Decision Tree and User Adaptation. Int. J. Fuzzy Syst. Appl. Moon-Jin Jeon, Sang Wan Lee, Zeungnam Bien
2010	J	`jnl`	A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions. IEEE Trans. Knowl. Data Eng. Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
2010	J	`jnl`	Iterative Bayesian fuzzy clustering toward flexible icon-based assistive software for the disabled. Inf. Sci. Sang Wan Lee, Yong-Soo Kim, Kwang-Hyun Park, Zeungnam Bien
2010	J	`jnl`	Representation of a fisher criterion function in a kernel feature space. IEEE Trans. Neural Networks Sang Wan Lee, Zeungnam Bien
2009	B	`conf`	Fuzzy-state Q-Learning-based human behavior suggestion system in intelligent sweet home. FUZZ-IEEE Sunha Bae, Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
2009	J	`jnl`	Robust EMG pattern recognition to muscular fatigue effect for powered wheelchair control. J. Intell. Fuzzy Syst. Jae-Hoon Song, Jin-Woo Jung, Sang Wan Lee, Zeungnam Bien
2008	—	`conf`	A Probabilistic Cluster Validity Index for Agglomerative Bayesian Fuzzy Clustering. CIMCA/IAWTIC/ISE Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
2008	C	`conf`	Combined Fuzzy State Q-learning Algorithm to Predict Context Aware User Activity under Uncertainty in Assistive Environment. SNPD Mohamed Ali Feki, Sang Wan Lee, Z. Zenn Bien, Mounir Mokhtari
2008	—	`conf`	Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-Based Fuzzy-State Q-learning. CIMCA/IAWTIC/ISE Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
2007	Misc	`conf`	Agglomerative Fuzzy Clustering based on Bayesian Interpretation. IRI Sang Wan Lee, Yong-Soo Kim, Zeungnam Bien
2007	C	`conf`	Context Aware Life Pattern Prediction Using Fuzzy-State Q-Learning. ICOST Mohamed Ali Feki, Sang Wan Lee, Zeungnam Bien, Mounir Mokhtari
2006	B	`conf`	Bayesian Interpretation of Adaptive Fuzzy Neural Network Model. FUZZ-IEEE Sang Wan Lee, Dae-Jin Kim, Yong-Soo Kim, Zeungnam Bien
2006	—	`conf`	Supervised IAFC Neural Network Based on the Fuzzification of Learning Vector Quantization. KES (3) Yong-Soo Kim, Sang Wan Lee, Sukhoon Kang, Yong Sun Baek, Suntae Hwang, Zeungnam Bien
2005	B	`conf`	Facial Emotional Expression Recognition with Soft Computing Techniques. FUZZ-IEEE Dae-Jin Kim, Sang Wan Lee, Zeungnam Bien
2005	B	`conf`	Facial emotional expression recognition with soft computing techniques. RO-MAN Dae-Jin Kim, Sang Wan Lee, Zeungnam Bien
2005	—	`conf`	Training of Feature Extractor via New Cluster Validity - Application to Adaptive Facial Expression Recognition. KES (4) Sang Wan Lee, Dae-Jin Kim, Yong-Soo Kim, Zeungnam Bien