Jaewook Lee - RankMe

135 papers A* 11B 3C 2Journal 96Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing financial privacy: A novel integrative approach for privacy-preserving optimal portfolio. Future Gener. Comput. Syst. Hyungjin Ko, Jaewook Lee, Junyoung Byun
2026	J	`jnl`	Differentially private upsampling for enhanced anomaly detection in imbalanced data. Eng. Appl. Artif. Intell. Yujin Choi, Jinseong Park, Youngjoo Park, Jaewook Lee, Junyoung Byun
2026	J	`jnl`	Impact of EIP-4844 on Ethereum: Consensus Security, Ethereum Usage, Rollup Transaction Dynamics, and Blob Gas Fee Markets. IEEE Trans. Netw. Sci. Eng. Seongwan Park, Bosul Mun, Seungyun Lee, Woojin Jeong, Jaewook Lee, Hyeonsang Eom, Huisu Jang
2026	J	`jnl`	JoCE : Joint counterfactual explanations for interpretable time series anomaly detection. Pattern Recognit. Woojin Jeong, Geonwoo Shin, Jaewook Lee
2026	J	`jnl`	LiqBoost: Enhancing liquidity provision for blockchain-based decentralized exchanges. Expert Syst. Appl. Woojin Jeong, Seongwan Park, Jaewook Lee, Yunyoung Lee
2026	—	`conf`	TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation. KDD (1) Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, Jaewook Lee
2025	J	`jnl`	A Statistical Analysis of the Relationship Between Meme Stocks and Social Media. IEEE Access Seungju Lee, Yunyoung Lee, Jaewook Lee, Hoki Kim
2025	J	`jnl`	Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach. IEEE Access Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son
2025	J	`jnl`	Improving the utility of differentially private clustering through dynamical processing. Pattern Recognit. Junyoung Byun, Yujin Choi, Jaewook Lee
2025	J	`jnl`	Multi-Class Support Vector Machine with Differential Privacy. CoRR Jinseong Park, Yujin Choi, Jaewook Lee
2025	—	`conf`	Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? EMNLP (Findings) Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park
2025	J	`jnl`	Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? CoRR Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park
2025	J	`jnl`	Towards undetectable adversarial attack on time series classification. Inf. Sci. Hoki Kim, Yunyoung Lee, Woojin Lee, Jaewook Lee
2024	—	`conf`	A Methodology of Stable 6-DoF Grasp Detection for Complex Shaped Object Using End-to-End Network. UR Woojin Jeong, Yongwoo Gu, Jaewook Lee, June-Sup Yi
2024	A*	`conf`	Are Self-Attentions Effective for Time Series Forecasting? NeurIPS Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
2024	J	`jnl`	Are Self-Attentions Effective for Time Series Forecasting? CoRR Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
2024	J	`jnl`	BayesNAM: Leveraging Inconsistency for Reliable Explanations. CoRR Hoki Kim, Jinseong Park, Yujin Choi, Seungyun Lee, Jaewook Lee
2024	J	`jnl`	Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method. Eng. Appl. Artif. Intell. Hoki Kim, Sangho Lee, Jaewook Lee, Woojin Lee, Youngdoo Son
2024	A*	`conf`	Fair Sampling in Diffusion Models through Switching Mechanism. AAAI Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park
2024	J	`jnl`	Fair Sampling in Diffusion Models through Switching Mechanism. CoRR Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saeroom Park
2024	J	`jnl`	Impact of EIP-4844 on Ethereum: Consensus Security, Ethereum Usage, Rollup Transaction Dynamics, and Blob Gas Fee Markets. CoRR Seongwan Park, Bosul Mun, Seungyun Lee, Woojin Jeong, Jaewook Lee, Hyeonsang Eom, Huisu Jang
2024	A*	`conf`	In-Distribution Public Data Synthesis With Diffusion Models for Differentially Private Image Classification. CVPR Jinseong Park, Yujin Choi, Jaewook Lee
2024	J	`jnl`	Leveraging Priors via Diffusion Bridge for Time Series Generation. CoRR Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, Jaewook Lee
2024	J	`jnl`	Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training. CoRR Yujin Choi, Jinseong Park, Junyoung Byun, Jaewook Lee
2024	J	`jnl`	Privacy-preserving inference resistant to model extraction attacks. Expert Syst. Appl. Junyoung Byun, Yujin Choi, Jaewook Lee, Saerom Park
2024	—	`conf`	Transparent Object Depth Reconstruction Framework for Mixed Scenes with Transparent and Opaque Objects. UR Woojin Jeong, G. Yongwoo, Jaewook Lee, June-Sup Yi
2024	J	`jnl`	Unraveling the MEV enigma: ABI-free detection model using Graph Neural Networks. Future Gener. Comput. Syst. Seongwan Park, Woojin Jeong, Yunyoung Lee, Bumho Son, Huisu Jang, Jaewook Lee
2023	J	`jnl`	Bridged adversarial training. Neural Networks Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee
2023	A*	`conf`	Differentially Private Sharpness-Aware Training. ICML Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Differentially Private Sharpness-Aware Training. CoRR Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Efficient differentially private kernel support vector classifier for multi-class classification. Inf. Sci. Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park
2023	J	`jnl`	Efficient homomorphic encryption framework for privacy-preserving regression. Appl. Intell. Junyoung Byun, Saerom Park, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Exploring Diverse Feature Extractions for Adversarial Audio Detection. IEEE Access Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim
2023	J	`jnl`	Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization. CoRR Hoki Kim, Jinseong Park, Yujin Choi, Woojin Lee, Jaewook Lee
2023	A*	`conf`	Fantastic Robustness Measures: The Secrets of Robust Generalization. NeurIPS Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
2023	A*	`conf`	Fast and Differentially Private Fair Clustering. IJCAI Junyoung Byun, Jaewook Lee
2023	J	`jnl`	Fast sharpness-aware training for periodic time series classification and forecasting. Appl. Soft Comput. Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee
2023	J	`jnl`	Generating Transferable Adversarial Examples for Speech Classification. Pattern Recognit. Hoki Kim, Jinseong Park, Jaewook Lee
2023	J	`jnl`	GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Sungyoon Lee, Hoki Kim, Jaewook Lee
2023	A*	`conf`	Implicit Jacobian regularization weighted with impurity of probability output. ICML Sungyoon Lee, Jinseong Park, Jaewook Lee
2023	J	`jnl`	Improving the Utility of Differentially Private Clustering through Dynamical Processing. CoRR Junyoung Byun, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Stability Analysis of Sharpness-Aware Minimization. CoRR Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Unraveling the MEV Enigma: ABI-Free Detection Model using Graph Neural Networks. CoRR Seongwan Park, Woojin Jeong, Yunyoung Lee, Bumho Son, Huisu Jang, Jaewook Lee
2022	J	`jnl`	Comment on Transferability and Input Transformation with Additive Noise. CoRR Hoki Kim, Jinseong Park, Jaewook Lee
2022	J	`jnl`	Variational cycle-consistent imputation adversarial networks for general missing patterns. Pattern Recognit. Woojin Lee, Sungyoon Lee, Junyoung Byun, Hoki Kim, Jaewook Lee
2021	J	`jnl`	A Survey on Security and Privacy in Blockchain-based Central Bank Digital Currencies. J. Internet Serv. Inf. Secur. Yunyoung Lee, Bumho Son, Seongwan Park, Jaewook Lee, Huisu Jang
2021	J	`jnl`	Atomic cross-chain settlement model for central banks digital currency. Inf. Sci. Yunyoung Lee, Bumho Son, Huisu Jang, Junyoung Byun, Taeho Yoon, Jaewook Lee
2021	J	`jnl`	Bridged Adversarial Training. CoRR Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee
2021	J	`jnl`	Compact class-conditional domain invariant learning for multi-class domain adaptation. Pattern Recognit. Woojin Lee, Hoki Kim, Jaewook Lee
2021	J	`jnl`	Fair Clustering with Fair Correspondence Distribution. Inf. Sci. Woojin Lee, Hyungjin Ko, Junyoung Byun, Taeho Yoon, Jaewook Lee
2021	J	`jnl`	GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. CoRR Sungyoon Lee, Hoki Kim, Jaewook Lee
2021	A*	`conf`	Parameter-free HE-friendly Logistic Regression. NeurIPS Junyoung Byun, Woojin Lee, Jaewook Lee
2021	J	`jnl`	Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System. IEEE Trans. Knowl. Data Eng. Saerom Park, Jaewook Lee
2021	A*	`conf`	Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples. NeurIPS Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee
2021	A*	`conf`	Understanding Catastrophic Overfitting in Single-step Adversarial Training. AAAI Hoki Kim, Woojin Lee, Jaewook Lee
2020	J	`jnl`	HE-Friendly Algorithm for Privacy-Preserving SVM Training. IEEE Access Saerom Park, Junyoung Byun, Joohee Lee, Jung Hee Cheon, Jaewook Lee
2020	J	`jnl`	Joint Transfer of Model Knowledge and Fairness Over Domains Using Wasserstein Distance. IEEE Access Taeho Yoon, Jaewook Lee, Woojin Lee
2020	A*	`conf`	Lipschitz-Certifiable Training with a Tight Outer Bound. NeurIPS Sungyoon Lee, Jaewook Lee, Saerom Park
2020	J	`jnl`	Understanding Catastrophic Overfitting in Single-step Adversarial Training. CoRR Hoki Kim, Woojin Lee, Jaewook Lee
2019	J	`jnl`	Learning of indiscriminate distributions of document embeddings for domain adaptation. Intell. Data Anal. Saerom Park, Woojin Lee, Jaewook Lee
2019	—	`conf`	Security-preserving Support Vector Machine with Fully Homomorphic Encryption. SafeAI@AAAI Saerom Park, Jaewook Lee, Jung Hee Cheon, Juhee Lee, Jaeyun Kim, Junyoung Byun
2019	J	`jnl`	Semi-supervised distributed representations of documents for sentiment analysis. Neural Networks Saerom Park, Jaewook Lee, Kyoungok Kim
2018	J	`jnl`	An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information. IEEE Access Huisu Jang, Jaewook Lee
2018	J	`jnl`	Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning. Comput. Intell. Neurosci. Junghoon Hah, Woojin Lee, Jaewook Lee, Saerom Park
2018	J	`jnl`	Learning representative exemplars using one-class Gaussian process regression. Pattern Recognit. Youngdoo Son, Sujee Lee, Saerom Park, Jaewook Lee
2016	—	`conf`	A general framework for building machine learning models for pricing american index options with no-arbitrage and its limitation. MIDAS@PKDD/ECML Huisu Jang, Jaewook Lee
2016	J	`jnl`	Active learning using transductive sparse Bayesian regression. Inf. Sci. Youngdoo Son, Jaewook Lee
2016	J	`jnl`	Nonparametric machine learning models for predicting the credit default swaps: An empirical study. Expert Syst. Appl. Youngdoo Son, Hyeongmin Byun, Jaewook Lee
2016	J	`jnl`	Self-correcting ensemble using a latent consensus model. Appl. Soft Comput. Namhyoung Kim, Youngdoo Son, Youngjo Lee, Jaewook Lee
2015	J	`jnl`	Voronoi Cell-Based Clustering Using a Kernel Support. IEEE Trans. Knowl. Data Eng. Kyoungok Kim, Youngdoo Son, Jaewook Lee
2014	J	`jnl`	Improved churn prediction in telecommunication industry by analyzing a large network. Expert Syst. Appl. Kyoungok Kim, Chi-Hyuck Jun, Jaewook Lee
2014	J	`jnl`	Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. Kyoungok Kim, Jaewook Lee
2014	J	`jnl`	Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options. Expert Syst. Appl. Hyejin Park, Namhyoung Kim, Jaewook Lee
2014	J	`jnl`	Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction. Pattern Recognit. Kyoungok Kim, Jaewook Lee
2014	J	`jnl`	Transductive Gaussian Processes with Applications to Object Pose Estimation. Comput. J. Hyun-Chul Kim, Jaewook Lee, Daewon Lee
2013	J	`jnl`	Probabilistic generative ranking method based on multi-support vector domain description. Inf. Sci. Kyu-Hwan Jung, Jaewook Lee
2013	J	`jnl`	Tridiagonal implicit method to evaluate European and American options under infinite activity Lévy models. J. Comput. Appl. Math. Jaewook Lee, Younhee Lee
2012	—	`conf`	A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication. HICSS Namhyoung Kim, Jaewook Lee, Kyu-Hwan Jung, Yong Seog Kim
2012	J	`jnl`	Forecasting nonnegative option price distributions using Bayesian kernel methods. Expert Syst. Appl. Hyejin Park, Jaewook Lee
2012	J	`jnl`	Forecasting trends of high-frequency KOSPI200 index data using learning classifiers. Expert Syst. Appl. Youngdoo Son, Dong-jin Noh, Jaewook Lee
2012	J	`jnl`	Multi-basin particle swarm intelligence method for optimal calibration of parametric Lévy models. Expert Syst. Appl. Seung-Ho Yang, Jaewook Lee
2012	J	`jnl`	Sequential manifold learning for efficient churn prediction. Expert Syst. Appl. Kyoungok Kim, Jaewook Lee
2012	J	`jnl`	Transductive Bayesian regression via manifold learning of prior data structure. Expert Syst. Appl. Hyejin Park, Heun A. Kim, Seung-Ho Yang, Jaewook Lee
2012	J	`jnl`	Uniformly subsampled ensemble (USE) for churn management: Theory and implementation. Expert Syst. Appl. Namhyoung Kim, Kyu-Hwan Jung, Yong Seog Kim, Jaewook Lee
2011	J	`jnl`	Calibrating parametric exponential Lévy models to option market data by incorporating statistical moments priors. Expert Syst. Appl. Seung-Ho Yang, Younhee Lee, Gabjin Oh, Jaewook Lee
2011	J	`jnl`	Dynamic pattern denoising method using multi-basin system with kernels. Pattern Recognit. Kyu-Hwan Jung, Namhyoung Kim, Jaewook Lee
2011	J	`jnl`	Predicting a distribution of implied volatilities for option pricing. Expert Syst. Appl. Seung-Ho Yang, Jaewook Lee
2010	J	`jnl`	A hybrid approach of goal programming for weapon systems selection. Comput. Ind. Eng. Jaewook Lee, Suk-Ho Kang, Jay M. Rosenberger, Seoung Bum Kim
2010	J	`jnl`	Dynamic Dissimilarity Measure for Support-Based Clustering. IEEE Trans. Knowl. Data Eng. Daewon Lee, Jaewook Lee
2010	J	`jnl`	Fast support-based clustering method for large-scale problems. Pattern Recognit. Kyu-Hwan Jung, Daewon Lee, Jaewook Lee
2010	J	`jnl`	Improving memory-based collaborative filtering via similarity updating and prediction modulation. Inf. Sci. Buhwan Jeong, Jaewook Lee, Hyunbo Cho
2009	J	`jnl`	An iterative semi-explicit rating method for building collaborative recommender systems. Expert Syst. Appl. Buhwan Jeong, Jaewook Lee, Hyunbo Cho
2009	J	`jnl`	Constructing Sparse Kernel Machines Using Attractors. IEEE Trans. Neural Networks Daewon Lee, Kyu-Hwan Jung, Jaewook Lee
2009	J	`jnl`	Kernel-based Monte Carlo simulation for American option pricing. Expert Syst. Appl. Gyu-Sik Han, Bo-Hyun Kim, Jaewook Lee
2009	J	`jnl`	Prediction of credit delinquents using locally transductive multi-layer perceptron. Neurocomputing Hyunjin Heo, Hyejin Park, Namhyoung Kim, Jaewook Lee
2009	J	`jnl`	Support for seamless data exchanges between web services through information mapping analysis using kernel methods. Expert Syst. Appl. Buhwan Jeong, Daewon Lee, Jaewook Lee, Hyunbo Cho
2009	J	`jnl`	User credit-based collaborative filtering. Expert Syst. Appl. Buhwan Jeong, Jaewook Lee, Hyunbo Cho
2008	J	`jnl`	A novel method for measuring semantic similarity for XML schema matching. Expert Syst. Appl. Buhwan Jeong, Daewon Lee, Hyunbo Cho, Jaewook Lee
2008	J	`jnl`	Prediction of pricing and hedging errors for equity linked warrants with Gaussian process models. Expert Syst. Appl. Gyu-Sik Han, Jaewook Lee
2008	—	`conf`	Simulations for American Option Pricing Under a Jump-Diffusion Model: Comparison Study between Kernel-Based and Regression-based Methods. ISNN (1) Hyun-Joo Lee, Seung-Ho Yang, Gyu-Sik Han, Jaewook Lee
2007	J	`jnl`	A novel three-phase trajectory informed search methodology for global optimization. J. Glob. Optim. Jaewook Lee
2007	J	`jnl`	A quadratic string adapted barrier exploring method for locating transition states. Comput. Phys. Commun. Daewon Lee, Jaewook Lee, Younggui Yoon
2007	B	`conf`	Approximate Sampling Method for Locally Linear Embedding. IJCNN Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee
2007	J	`jnl`	Clustering Based on Gaussian Processes. Neural Comput. Hyun-Chul Kim, Jaewook Lee
2007	J	`jnl`	Domain described support vector classifier for multi-classification problems. Pattern Recognit. Daewon Lee, Jaewook Lee
2007	J	`jnl`	Equilibrium-Based Support Vector Machine for Semisupervised Classification. IEEE Trans. Neural Networks Daewon Lee, Jaewook Lee
2006	—	`conf`	A Novel Learning Network for Option Pricing with Confidence Interval Information. ISNN (2) Kyu-Hwan Jung, Hyun-Chul Kim, Jaewook Lee
2006	B	`conf`	A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description. IJCNN Daewon Lee, Jaewook Lee
2006	J	`jnl`	A tandem clustering process for multimodal datasets. Eur. J. Oper. Res. Catherine Cho, Sooyoung Kim, Jaewook Lee, Daewon Lee
2006	J	`jnl`	Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Jaewook Lee, Daewon Lee
2006	J	`jnl`	Frequency Insertion Strategy for Channel Assignment Problem. Wirel. Networks Won-young Shin, Soo Chang, Jaewook Lee, Chi-Hyuck Jun
2006	—	`conf`	Local Volatility Function Approximation Using Reconstructed Radial Basis Function Networks. ISNN (2) Bo-Hyun Kim, Daewon Lee, Jaewook Lee
2006	—	`conf`	Pseudo-density Estimation for Clustering with Gaussian Processes. ISNN (1) Hyun-Chul Kim, Jaewook Lee
2006	B	`conf`	Support Vector Classifier Using Basin-Based Sampling for Security Assessment of Nonlinear Power and Control Systems. IJCNN Daewon Lee, Jaewook Lee
2005	J	`jnl`	An Improved Cluster Labeling Method for Support Vector Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Jaewook Lee, Daewon Lee
2005	J	`jnl`	Classification-based collaborative filtering using market basket data. Expert Syst. Appl. Jong-Seok Lee, Chi-Hyuck Jun, Jaewook Lee, Sooyoung Kim
2005	—	`conf`	Coherent Risk Measure Using Feedfoward Neural Networks. ISNN (2) Hyoseok Lee, Jaewook Lee, Younggui Yoon, Sooyoung Kim
2005	—	`conf`	Estimating the Yield Curve Using Calibrated Radial Basis Function Networks. ISNN (2) Gyu-Sik Han, Daewon Lee, Jaewook Lee
2005	J	`jnl`	Pseudobasin of attraction for combinatorial dynamical systems: theory and its application to combinatorial optimization. IEEE Trans. Circuits Syst. II Express Briefs Jaewook Lee
2005	—	`conf`	Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training. ISNN (1) Younggui Yoon, Jaewook Lee
2005	—	`conf`	Trajectory-Based Support Vector Multicategory Classifier. ISNN (1) Daewon Lee, Jaewook Lee
2004	—	`conf`	A Novel Three-Phase Algorithm for RBF Neural Network Center Selection. ISNN (1) Daewon Lee, Jaewook Lee
2004	—	`conf`	A Regularized Line Search Tunneling for Efficient Neural Network Learning. ISNN (1) Daewon Lee, Hyung-Jun Choi, Jaewook Lee
2004	J	`jnl`	A dynamical trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems. IEEE Trans. Autom. Control. Jaewook Lee, Hsiao-Dong Chiang
2004	J	`jnl`	A singular fixed-point homotopy method to locate the closest unstable equilibrium point for transient stability region estimate. IEEE Trans. Circuits Syst. II Express Briefs Jaewook Lee, Hsiao-Dong Chiang
2004	J	`jnl`	An optimization-driven framework for the computation of the controlling UEP in transient stability analysis. IEEE Trans. Autom. Control. Jaewook Lee
2004	—	`conf`	Efficient Option Pricing via a Globally Regularized Neural Network. ISNN (2) Hyung-Jun Choi, Hyoseok Lee, Gyu-Sik Han, Jaewook Lee
2004	—	`conf`	Multi-stage Neural Networks for Channel Assignment in Cellular Radio Networks. ISNN (2) Hyuk-Soon Lee, Daewon Lee, Jaewook Lee
2003	—	`conf`	A novel homotopy-based algorithm for the closest unstable equilibrium point method in nonlinear stability analysis. ISCAS (3) Jaewook Lee
2003	J	`jnl`	Dynamic gradient approaches to compute the closest unstable equilibrium point for stability region estimate and their computational limitations. IEEE Trans. Autom. Control. Jaewook Lee
2001	—	`conf`	A trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems. ISCAS (3) Jaewook Lee, Hsiao-Dong Chiang
2001	—	`conf`	Computation of multiple type-one equilibrium points on the stability boundary using generalized fixed-point homotopy methods. ISCAS (3) Jaewook Lee, Hsiao-Dong Chiang
2001	—	`conf`	Quotient gradient methods for solving constraint satisfaction problems. ISCAS (3) Jaewook Lee, Hsiao-Dong Chiang
2000	C	`conf`	Convergent regions of Newton homotopy methods for nonlinear systems: theory and computational applications. ISCAS Jaewook Lee, Hsiao-Dong Chiang
2000	C	`conf`	Stability regions of non-hyperbolic dynamical systems: theory and optimal estimation. ISCAS Jaewook Lee, Hsiao-Dong Chiang