Stability regions of non-hyperbolic dynamical systems: theory and optimal estimation. - Jaewook Lee 001; Hsiao-Dong Chiang (ISCAS, 2000)

Convergent regions of Newton homotopy methods for nonlinear systems: theory and computational applications. - Jaewook Lee 001; Hsiao-Dong Chiang (ISCAS, 2000)

A trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems. - Jaewook Lee 001; Hsiao-Dong Chiang (ISCAS (3), 2001)

Computation of multiple type-one equilibrium points on the stability boundary using generalized fixed-point homotopy methods. - Jaewook Lee 001; Hsiao-Dong Chiang (ISCAS (3), 2001)

Quotient gradient methods for solving constraint satisfaction problems. - Jaewook Lee 001; Hsiao-Dong Chiang (ISCAS (3), 2001)

A novel homotopy-based algorithm for the closest unstable equilibrium point method in nonlinear stability analysis. - Jaewook Lee 001 (ISCAS (3), 2003)

Dynamic gradient approaches to compute the closest unstable equilibrium point for stability region estimate and their computational limitations. - Jaewook Lee 001 (IEEE Trans. Autom. Control., 2003)

Efficient Option Pricing via a Globally Regularized Neural Network. - Hyung-Jun Choi; Hyoseok Lee; Gyu-Sik Han; Jaewook Lee 001 (ISNN (2), 2004)

A Regularized Line Search Tunneling for Efficient Neural Network Learning. - Daewon Lee; Hyung-Jun Choi; Jaewook Lee 001 (ISNN (1), 2004)

A Novel Three-Phase Algorithm for RBF Neural Network Center Selection. - Daewon Lee; Jaewook Lee 001 (ISNN (1), 2004)

Multi-stage Neural Networks for Channel Assignment in Cellular Radio Networks. - Hyuk-Soon Lee; Daewon Lee; Jaewook Lee 001 (ISNN (2), 2004)

An optimization-driven framework for the computation of the controlling UEP in transient stability analysis. - Jaewook Lee 001 (IEEE Trans. Autom. Control., 2004)

A dynamical trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems. - Jaewook Lee 001; Hsiao-Dong Chiang (IEEE Trans. Autom. Control., 2004)

A singular fixed-point homotopy method to locate the closest unstable equilibrium point for transient stability region estimate. - Jaewook Lee 001; Hsiao-Dong Chiang (IEEE Trans. Circuits Syst. II Express Briefs, 2004)

Estimating the Yield Curve Using Calibrated Radial Basis Function Networks. - Gyu-Sik Han; Daewon Lee; Jaewook Lee 001 (ISNN (2), 2005)

Trajectory-Based Support Vector Multicategory Classifier. - Daewon Lee; Jaewook Lee 001 (ISNN (1), 2005)

Coherent Risk Measure Using Feedfoward Neural Networks. - Hyoseok Lee; Jaewook Lee 001; Younggui Yoon; Sooyoung Kim (ISNN (2), 2005)

Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training. - Younggui Yoon; Jaewook Lee 001 (ISNN (1), 2005)

Classification-based collaborative filtering using market basket data. - Jong-Seok Lee; Chi-Hyuck Jun; Jaewook Lee 001; Sooyoung Kim (Expert Syst. Appl., 2005)

An Improved Cluster Labeling Method for Support Vector Clustering. - Jaewook Lee 001; Daewon Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Pseudobasin of attraction for combinatorial dynamical systems: theory and its application to combinatorial optimization. - Jaewook Lee 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description. - Daewon Lee; Jaewook Lee 001 (IJCNN, 2006)

Support Vector Classifier Using Basin-Based Sampling for Security Assessment of Nonlinear Power and Control Systems. - Daewon Lee; Jaewook Lee 001 (IJCNN, 2006)

A Novel Learning Network for Option Pricing with Confidence Interval Information. - Kyu-Hwan Jung; Hyun-Chul Kim; Jaewook Lee 001 (ISNN (2), 2006)

Pseudo-density Estimation for Clustering with Gaussian Processes. - Hyun-Chul Kim; Jaewook Lee 001 (ISNN (1), 2006)

Local Volatility Function Approximation Using Reconstructed Radial Basis Function Networks. - Bo-Hyun Kim; Daewon Lee; Jaewook Lee 001 (ISNN (2), 2006)

A tandem clustering process for multimodal datasets. - Catherine Cho; Sooyoung Kim; Jaewook Lee 001; Daewon Lee (Eur. J. Oper. Res., 2006)

Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering. - Jaewook Lee 001; Daewon Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Frequency Insertion Strategy for Channel Assignment Problem. - Won-young Shin; Soo Chang; Jaewook Lee 001; Chi-Hyuck Jun (Wirel. Networks, 2006)

Approximate Sampling Method for Locally Linear Embedding. - Hyun-Chul Kim; Kyu-Hwan Jung; Jaewook Lee 001 (IJCNN, 2007)

A quadratic string adapted barrier exploring method for locating transition states. - Daewon Lee; Jaewook Lee 001; Younggui Yoon (Comput. Phys. Commun., 2007)

A novel three-phase trajectory informed search methodology for global optimization. - Jaewook Lee 001 (J. Glob. Optim., 2007)

Clustering Based on Gaussian Processes. - Hyun-Chul Kim; Jaewook Lee 001 (Neural Comput., 2007)

Domain described support vector classifier for multi-classification problems. - Daewon Lee; Jaewook Lee 001 (Pattern Recognit., 2007)

Equilibrium-Based Support Vector Machine for Semisupervised Classification. - Daewon Lee; Jaewook Lee 001 (IEEE Trans. Neural Networks, 2007)

Simulations for American Option Pricing Under a Jump-Diffusion Model: Comparison Study between Kernel-Based and Regression-based Methods. - Hyun-Joo Lee; Seung-Ho Yang; Gyu-Sik Han; Jaewook Lee 001 (ISNN (1), 2008)

Prediction of pricing and hedging errors for equity linked warrants with Gaussian process models. - Gyu-Sik Han; Jaewook Lee 001 (Expert Syst. Appl., 2008)

A novel method for measuring semantic similarity for XML schema matching. - Buhwan Jeong; Daewon Lee; Hyunbo Cho; Jaewook Lee 001 (Expert Syst. Appl., 2008)

Kernel-based Monte Carlo simulation for American option pricing. - Gyu-Sik Han; Bo-Hyun Kim; Jaewook Lee 001 (Expert Syst. Appl., 2009)

An iterative semi-explicit rating method for building collaborative recommender systems. - Buhwan Jeong; Jaewook Lee 001; Hyunbo Cho (Expert Syst. Appl., 2009)

User credit-based collaborative filtering. - Buhwan Jeong; Jaewook Lee 001; Hyunbo Cho (Expert Syst. Appl., 2009)

Support for seamless data exchanges between web services through information mapping analysis using kernel methods. - Buhwan Jeong; Daewon Lee; Jaewook Lee 001; Hyunbo Cho (Expert Syst. Appl., 2009)

Prediction of credit delinquents using locally transductive multi-layer perceptron. - Hyunjin Heo; Hyejin Park 001; Namhyoung Kim; Jaewook Lee 001 (Neurocomputing, 2009)

Constructing Sparse Kernel Machines Using Attractors. - Daewon Lee; Kyu-Hwan Jung; Jaewook Lee 001 (IEEE Trans. Neural Networks, 2009)

A hybrid approach of goal programming for weapon systems selection. - Jaewook Lee 001; Suk-Ho Kang; Jay M. Rosenberger; Seoung Bum Kim (Comput. Ind. Eng., 2010)

Improving memory-based collaborative filtering via similarity updating and prediction modulation. - Buhwan Jeong; Jaewook Lee 001; Hyunbo Cho (Inf. Sci., 2010)

Fast support-based clustering method for large-scale problems. - Kyu-Hwan Jung; Daewon Lee; Jaewook Lee 001 (Pattern Recognit., 2010)

Dynamic Dissimilarity Measure for Support-Based Clustering. - Daewon Lee; Jaewook Lee 001 (IEEE Trans. Knowl. Data Eng., 2010)

Predicting a distribution of implied volatilities for option pricing. - Seung-Ho Yang; Jaewook Lee 001 (Expert Syst. Appl., 2011)

Calibrating parametric exponential Lévy models to option market data by incorporating statistical moments priors. - Seung-Ho Yang; Younhee Lee; Gabjin Oh; Jaewook Lee 001 (Expert Syst. Appl., 2011)

Dynamic pattern denoising method using multi-basin system with kernels. - Kyu-Hwan Jung; Namhyoung Kim; Jaewook Lee 001 (Pattern Recognit., 2011)

A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication. - Namhyoung Kim; Jaewook Lee 001; Kyu-Hwan Jung; Yong Seog Kim (HICSS, 2012)

Uniformly subsampled ensemble (USE) for churn management: Theory and implementation. - Namhyoung Kim; Kyu-Hwan Jung; Yong Seog Kim; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Sequential manifold learning for efficient churn prediction. - Kyoungok Kim; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Transductive Bayesian regression via manifold learning of prior data structure. - Hyejin Park 001; Heun A. Kim; Seung-Ho Yang; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Forecasting nonnegative option price distributions using Bayesian kernel methods. - Hyejin Park 001; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Forecasting trends of high-frequency KOSPI200 index data using learning classifiers. - Youngdoo Son; Dong-jin Noh; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Multi-basin particle swarm intelligence method for optimal calibration of parametric Lévy models. - Seung-Ho Yang; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Probabilistic generative ranking method based on multi-support vector domain description. - Kyu-Hwan Jung; Jaewook Lee 001 (Inf. Sci., 2013)

Tridiagonal implicit method to evaluate European and American options under infinite activity Lévy models. - Jaewook Lee 001; Younhee Lee (J. Comput. Appl. Math., 2013)

Transductive Gaussian Processes with Applications to Object Pose Estimation. - Hyun-Chul Kim; Jaewook Lee 001; Daewon Lee (Comput. J., 2014)

Improved churn prediction in telecommunication industry by analyzing a large network. - Kyoungok Kim; Chi-Hyuck Jun; Jaewook Lee 001 (Expert Syst. Appl., 2014)

Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options. - Hyejin Park 001; Namhyoung Kim; Jaewook Lee 001 (Expert Syst. Appl., 2014)

Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds. - Kyoungok Kim; Jaewook Lee 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction. - Kyoungok Kim; Jaewook Lee 001 (Pattern Recognit., 2014)

Voronoi Cell-Based Clustering Using a Kernel Support. - Kyoungok Kim; Youngdoo Son; Jaewook Lee 001 (IEEE Trans. Knowl. Data Eng., 2015)

A general framework for building machine learning models for pricing american index options with no-arbitrage and its limitation. - Huisu Jang; Jaewook Lee 001 (MIDAS@PKDD/ECML, 2016)

Self-correcting ensemble using a latent consensus model. - Namhyoung Kim; Youngdoo Son; Youngjo Lee 001; Jaewook Lee 001 (Appl. Soft Comput., 2016)

Nonparametric machine learning models for predicting the credit default swaps: An empirical study. - Youngdoo Son; Hyeongmin Byun; Jaewook Lee 001 (Expert Syst. Appl., 2016)

Active learning using transductive sparse Bayesian regression. - Youngdoo Son; Jaewook Lee 001 (Inf. Sci., 2016)

An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information. - Huisu Jang; Jaewook Lee 001 (IEEE Access, 2018)

Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning. - Junghoon Hah; Woojin Lee; Jaewook Lee 001; Saerom Park (Comput. Intell. Neurosci., 2018)

Learning representative exemplars using one-class Gaussian process regression. - Youngdoo Son; Sujee Lee; Saerom Park; Jaewook Lee 001 (Pattern Recognit., 2018)

Security-preserving Support Vector Machine with Fully Homomorphic Encryption. - Saerom Park; Jaewook Lee 001; Jung Hee Cheon; Juhee Lee; Jaeyun Kim; Junyoung Byun (SafeAI@AAAI, 2019)

Learning of indiscriminate distributions of document embeddings for domain adaptation. - Saerom Park; Woojin Lee; Jaewook Lee 001 (Intell. Data Anal., 2019)

Semi-supervised distributed representations of documents for sentiment analysis. - Saerom Park; Jaewook Lee 001; Kyoungok Kim (Neural Networks, 2019)

Lipschitz-Certifiable Training with a Tight Outer Bound. - Sungyoon Lee; Jaewook Lee 001; Saerom Park (NeurIPS, 2020)

HE-Friendly Algorithm for Privacy-Preserving SVM Training. - Saerom Park; Junyoung Byun; Joohee Lee; Jung Hee Cheon; Jaewook Lee 001 (IEEE Access, 2020)

Joint Transfer of Model Knowledge and Fairness Over Domains Using Wasserstein Distance. - Taeho Yoon; Jaewook Lee 001; Woojin Lee (IEEE Access, 2020)

Understanding Catastrophic Overfitting in Single-step Adversarial Training. - Hoki Kim; Woojin Lee; Jaewook Lee 001 (AAAI, 2021)

Parameter-free HE-friendly Logistic Regression. - Junyoung Byun; Woojin Lee; Jaewook Lee 001 (NeurIPS, 2021)

Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples. - Sungyoon Lee; Woojin Lee; Jinseong Park 001; Jaewook Lee 001 (NeurIPS, 2021)

Fair Clustering with Fair Correspondence Distribution. - Woojin Lee; Hyungjin Ko; Junyoung Byun; Taeho Yoon; Jaewook Lee 001 (Inf. Sci., 2021)

Atomic cross-chain settlement model for central banks digital currency. - Yunyoung Lee; Bumho Son; Huisu Jang; Junyoung Byun; Taeho Yoon; Jaewook Lee 001 (Inf. Sci., 2021)

A Survey on Security and Privacy in Blockchain-based Central Bank Digital Currencies. - Yunyoung Lee; Bumho Son; Seongwan Park; Jaewook Lee 001; Huisu Jang (J. Internet Serv. Inf. Secur., 2021)

Compact class-conditional domain invariant learning for multi-class domain adaptation. - Woojin Lee; Hoki Kim; Jaewook Lee 001 (Pattern Recognit., 2021)

Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System. - Saerom Park; Jaewook Lee 001 (IEEE Trans. Knowl. Data Eng., 2021)

Comment on Transferability and Input Transformation with Additive Noise. - Hoki Kim; Jinseong Park 001; Jaewook Lee 001 (CoRR, 2022)

Variational cycle-consistent imputation adversarial networks for general missing patterns. - Woojin Lee; Sungyoon Lee; Junyoung Byun; Hoki Kim; Jaewook Lee 001 (Pattern Recognit., 2022)

Differentially Private Sharpness-Aware Training. - Jinseong Park 001; Hoki Kim; Yujin Choi; Jaewook Lee 001 (ICML, 2023)

Implicit Jacobian regularization weighted with impurity of probability output. - Sungyoon Lee; Jinseong Park 001; Jaewook Lee 001 (ICML, 2023)

Fast and Differentially Private Fair Clustering. - Junyoung Byun; Jaewook Lee 001 (IJCAI, 2023)

Fantastic Robustness Measures: The Secrets of Robust Generalization. - Hoki Kim; Jinseong Park 001; Yujin Choi; Jaewook Lee 001 (NeurIPS, 2023)

Exploring Diverse Feature Extractions for Adversarial Audio Detection. - Yujin Choi; Jinseong Park 001; Jaewook Lee 001; Hoki Kim (IEEE Access, 2023)

Stability Analysis of Sharpness-Aware Minimization. - Hoki Kim; Jinseong Park 001; Yujin Choi; Jaewook Lee 001 (CoRR, 2023)

Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization. - Hoki Kim; Jinseong Park 001; Yujin Choi; Woojin Lee; Jaewook Lee 001 (CoRR, 2023)

Efficient differentially private kernel support vector classifier for multi-class classification. - Jinseong Park 001; Yujin Choi; Junyoung Byun; Jaewook Lee 001; Saerom Park (Inf. Sci., 2023)

GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. - Sungyoon Lee; Hoki Kim; Jaewook Lee 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Efficient homomorphic encryption framework for privacy-preserving regression. - Junyoung Byun; Saerom Park; Yujin Choi; Jaewook Lee 001 (Appl. Intell., 2023)

Generating Transferable Adversarial Examples for Speech Classification. - Hoki Kim; Jinseong Park 001; Jaewook Lee 001 (Pattern Recognit., 2023)

Fast sharpness-aware training for periodic time series classification and forecasting. - Jinseong Park 001; Hoki Kim; Yujin Choi; Woojin Lee; Jaewook Lee 001 (Appl. Soft Comput., 2023)

Bridged adversarial training. - Hoki Kim; Woojin Lee; Sungyoon Lee; Jaewook Lee 001 (Neural Networks, 2023)

Fair Sampling in Diffusion Models through Switching Mechanism. - Yujin Choi; Jinseong Park 001; Hoki Kim; Jaewook Lee 001; Saerom Park (AAAI, 2024)

In-Distribution Public Data Synthesis With Diffusion Models for Differentially Private Image Classification. - Jinseong Park 001; Yujin Choi; Jaewook Lee 001 (CVPR, 2024)

Are Self-Attentions Effective for Time Series Forecasting? - Dongbin Kim; Jinseong Park 001; Jaewook Lee 001; Hoki Kim (NeurIPS, 2024)

A Methodology of Stable 6-DoF Grasp Detection for Complex Shaped Object Using End-to-End Network. - Woojin Jeong; Yongwoo Gu; Jaewook Lee 001; June-sup Yi (UR, 2024)

Transparent Object Depth Reconstruction Framework for Mixed Scenes with Transparent and Opaque Objects. - Woojin Jeong; G. Yongwoo; Jaewook Lee 001; June-sup Yi (UR, 2024)

Fair Sampling in Diffusion Models through Switching Mechanism. - Yujin Choi; Jinseong Park 001; Hoki Kim; Jaewook Lee 001; Saeroom Park (CoRR, 2024)

Impact of EIP-4844 on Ethereum: Consensus Security, Ethereum Usage, Rollup Transaction Dynamics, and Blob Gas Fee Markets. - Seongwan Park; Bosul Mun; Seungyun Lee; Woojin Jeong; Jaewook Lee 001; Hyeonsang Eom; Huisu Jang (CoRR, 2024)

Leveraging Priors via Diffusion Bridge for Time Series Generation. - Jinseong Park 001; Seungyun Lee; Woojin Jeong; Yujin Choi; Jaewook Lee 001 (CoRR, 2024)

BayesNAM: Leveraging Inconsistency for Reliable Explanations. - Hoki Kim; Jinseong Park 001; Yujin Choi; Seungyun Lee; Jaewook Lee 001 (CoRR, 2024)

Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training. - Yujin Choi; Jinseong Park 001; Junyoung Byun; Jaewook Lee 001 (CoRR, 2024)

Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method. - Hoki Kim; Sangho Lee; Jaewook Lee 001; Woojin Lee; Youngdoo Son (Eng. Appl. Artif. Intell., 2024)

Privacy-preserving inference resistant to model extraction attacks. - Junyoung Byun; Yujin Choi; Jaewook Lee 001; Saerom Park (Expert Syst. Appl., 2024)

Unraveling the MEV enigma: ABI-free detection model using Graph Neural Networks. - Seongwan Park; Woojin Jeong; Yunyoung Lee; Bumho Son; Huisu Jang; Jaewook Lee 001 (Future Gener. Comput. Syst., 2024)

Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach. - Junyoung Byun; Jaewook Lee 001; Hyeongyeong Lee; Bumho Son (IEEE Access, 2025)

A Statistical Analysis of the Relationship Between Meme Stocks and Social Media. - Seungju Lee; Yunyoung Lee; Jaewook Lee 001; Hoki Kim (IEEE Access, 2025)

Towards undetectable adversarial attack on time series classification. - Hoki Kim; Yunyoung Lee; Woojin Lee; Jaewook Lee 001 (Inf. Sci., 2025)

Improving the utility of differentially private clustering through dynamical processing. - Junyoung Byun; Yujin Choi; Jaewook Lee 001 (Pattern Recognit., 2025)

Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? - Yujin Choi; Youngjoo Park; Junyoung Byun; Jaewook Lee 001; Jinseong Park 001 (CoRR, 2025)

LiqBoost: Enhancing liquidity provision for blockchain-based decentralized exchanges. - Woojin Jeong; Seongwan Park; Jaewook Lee 001; Yunyoung Lee (Expert Syst. Appl., 2026)

Advancing financial privacy: A novel integrative approach for privacy-preserving optimal portfolio. - Hyungjin Ko; Jaewook Lee 001; Junyoung Byun (Future Gener. Comput. Syst., 2026)