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ORCIDJaewook Lee 0001
Person information
- affiliation: Seoul National University, Department of Industrial Engineering, South Korea
- affiliation (2001 - 2012): Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering, South Korea
- affiliation (PhD 1999): Cornell University, Ithaca, NY, USA
Other persons with the same name
- Jaewook Lee — disambiguation page
- Jaewook Lee 0002
![[0000-0003-0422-280X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0422-280X")
— Korea University, School of Electrical Engineering, Seoul, South Korea - Jaewook Lee 0003 — Shizuoka University, Research Institute of Green Science and Technology, Japan
- Jaewook Lee 0004 — Gwangju Institute of Science and Technology (GIST), School of Mechanical Engineering, South Korea (and 1 more)
- Jaewook Lee 0005 — University of Washington, Seattle, Washington, USA
- Jaewook Lee 0006 — University of Massachusetts Amherst, MA, USA
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2020 – today
- 2025
[j71]Junyoung Byun, Yujin Choi, Jaewook Lee:
Improving the utility of differentially private clustering through dynamical processing. Pattern Recognit. 157: 110890 (2025)- 2024
- [j70]Hoki Kim, Sangho Lee, Jaewook Lee, Woojin Lee, Youngdoo Son:
Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method. Eng. Appl. Artif. Intell. 130: 107980 (2024) - [j69]Junyoung Byun, Yujin Choi, Jaewook Lee, Saerom Park:
Privacy-preserving inference resistant to model extraction attacks. Expert Syst. Appl. 256: 124830 (2024) - [j68]Seongwan Park, Woojin Jeong, Yunyoung Lee, Bumho Son, Huisu Jang, Jaewook Lee:
Unraveling the MEV enigma: ABI-free detection model using Graph Neural Networks. Future Gener. Comput. Syst. 153: 70-83 (2024) - [c36]Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park:
Fair Sampling in Diffusion Models through Switching Mechanism. AAAI 2024: 21995-22003 - [c35]Jinseong Park, Yujin Choi, Jaewook Lee:
In-Distribution Public Data Synthesis With Diffusion Models for Differentially Private Image Classification. CVPR 2024: 12236-12246 - [c34]Woojin Jeong, Yongwoo Gu, Jaewook Lee, June-sup Yi:
A Methodology of Stable 6-DoF Grasp Detection for Complex Shaped Object Using End-to-End Network. UR 2024: 257-264 - [c33]Woojin Jeong, G. Yongwoo, Jaewook Lee, June-sup Yi:
Transparent Object Depth Reconstruction Framework for Mixed Scenes with Transparent and Opaque Objects. UR 2024: 265-272 - [i13]Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saeroom Park:
Fair Sampling in Diffusion Models through Switching Mechanism. CoRR abs/2401.03140 (2024) - [i12]Seongwan Park, Bosul Mun, Seungyun Lee, Woojin Jeong, Jaewook Lee, Hyeonsang Eom, Huisu Jang:
Impact of EIP-4844 on Ethereum: Consensus Security, Ethereum Usage, Rollup Transaction Dynamics, and Blob Gas Fee Markets. CoRR abs/2405.03183 (2024) - [i11]Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim:
Are Self-Attentions Effective for Time Series Forecasting? CoRR abs/2405.16877 (2024) - [i10]Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, Jaewook Lee:
Leveraging Priors via Diffusion Bridge for Time Series Generation. CoRR abs/2408.06672 (2024) - 2023
- [j67]Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim:
Exploring Diverse Feature Extractions for Adversarial Audio Detection. IEEE Access 11: 2351-2360 (2023) - [j66]Junyoung Byun, Saerom Park, Yujin Choi, Jaewook Lee:
Efficient homomorphic encryption framework for privacy-preserving regression. Appl. Intell. 53(9): 10114-10129 (2023) - [j65]Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee:
Fast sharpness-aware training for periodic time series classification and forecasting. Appl. Soft Comput. 144: 110467 (2023) - [j64]Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park:
Efficient differentially private kernel support vector classifier for multi-class classification. Inf. Sci. 619: 889-907 (2023) - [j63]Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee:
Bridged adversarial training. Neural Networks 167: 266-282 (2023) - [j62]Sungyoon Lee, Hoki Kim, Jaewook Lee:
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2645-2651 (2023) - [j61]Hoki Kim, Jinseong Park, Jaewook Lee:
Generating Transferable Adversarial Examples for Speech Classification. Pattern Recognit. 137: 109286 (2023) - [c32]Sungyoon Lee, Jinseong Park, Jaewook Lee:
Implicit Jacobian regularization weighted with impurity of probability output. ICML 2023: 19141-19184 - [c31]Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee:
Differentially Private Sharpness-Aware Training. ICML 2023: 27204-27224 - [c30]Junyoung Byun, Jaewook Lee:
Fast and Differentially Private Fair Clustering. IJCAI 2023: 5915-5923 - [c29]Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee:
Fantastic Robustness Measures: The Secrets of Robust Generalization. NeurIPS 2023 - [i9]Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee:
Stability Analysis of Sharpness-Aware Minimization. CoRR abs/2301.06308 (2023) - [i8]Hoki Kim, Jinseong Park, Yujin Choi, Woojin Lee, Jaewook Lee:
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization. CoRR abs/2302.10181 (2023) - [i7]Junyoung Byun, Yujin Choi, Jaewook Lee:
Improving the Utility of Differentially Private Clustering through Dynamical Processing. CoRR abs/2304.13886 (2023) - [i6]Seongwan Park, Woojin Jeong, Yunyoung Lee, Bumho Son, Huisu Jang, Jaewook Lee:
Unraveling the MEV Enigma: ABI-Free Detection Model using Graph Neural Networks. CoRR abs/2305.05952 (2023) - [i5]Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee:
Differentially Private Sharpness-Aware Training. CoRR abs/2306.05651 (2023) - 2022
- [j60]Woojin Lee, Sungyoon Lee, Junyoung Byun, Hoki Kim, Jaewook Lee:
Variational cycle-consistent imputation adversarial networks for general missing patterns. Pattern Recognit. 129: 108720 (2022) - [i4]Hoki Kim, Jinseong Park, Jaewook Lee:
Comment on Transferability and Input Transformation with Additive Noise. CoRR abs/2206.09075 (2022) - 2021
- [j59]Yunyoung Lee, Bumho Son, Huisu Jang, Junyoung Byun, Taeho Yoon, Jaewook Lee:
Atomic cross-chain settlement model for central banks digital currency. Inf. Sci. 580: 838-856 (2021) - [j58]Woojin Lee, Hyungjin Ko, Junyoung Byun, Taeho Yoon, Jaewook Lee:
Fair Clustering with Fair Correspondence Distribution. Inf. Sci. 581: 155-178 (2021) - [j57]Yunyoung Lee, Bumho Son, Seongwan Park, Jaewook Lee, Huisu Jang:
A Survey on Security and Privacy in Blockchain-based Central Bank Digital Currencies. J. Internet Serv. Inf. Secur. 11(3): 16-29 (2021) - [j56]Woojin Lee, Hoki Kim, Jaewook Lee:
Compact class-conditional domain invariant learning for multi-class domain adaptation. Pattern Recognit. 112: 107763 (2021) - [j55]Saerom Park, Jaewook Lee:
Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System. IEEE Trans. Knowl. Data Eng. 33(8): 3155-3159 (2021) - [c28]Hoki Kim, Woojin Lee, Jaewook Lee:
Understanding Catastrophic Overfitting in Single-step Adversarial Training. AAAI 2021: 8119-8127 - [c27]Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee:
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples. NeurIPS 2021: 953-964 - [c26]Junyoung Byun, Woojin Lee, Jaewook Lee:
Parameter-free HE-friendly Logistic Regression. NeurIPS 2021: 8457-8468 - [i3]Sungyoon Lee, Hoki Kim, Jaewook Lee:
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. CoRR abs/2107.02425 (2021) - [i2]Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee:
Bridged Adversarial Training. CoRR abs/2108.11135 (2021) - 2020
- [j54]Saerom Park, Junyoung Byun, Joohee Lee, Jung Hee Cheon, Jaewook Lee:
HE-Friendly Algorithm for Privacy-Preserving SVM Training. IEEE Access 8: 57414-57425 (2020) - [j53]Tae-Ho Yoon, Jaewook Lee, Woojin Lee:
Joint Transfer of Model Knowledge and Fairness Over Domains Using Wasserstein Distance. IEEE Access 8: 123783-123798 (2020) - [c25]Sungyoon Lee, Jaewook Lee, Saerom Park:
Lipschitz-Certifiable Training with a Tight Outer Bound. NeurIPS 2020 - [i1]Hoki Kim, Woojin Lee, Jaewook Lee:
Understanding Catastrophic Overfitting in Single-step Adversarial Training. CoRR abs/2010.01799 (2020)
2010 – 2019
- 2019
- [j52]Saerom Park, Woojin Lee, Jaewook Lee:
Learning of indiscriminate distributions of document embeddings for domain adaptation. Intell. Data Anal. 23(4): 779-797 (2019) - [j51]Saerom Park, Jaewook Lee, Kyoungok Kim:
Semi-supervised distributed representations of documents for sentiment analysis. Neural Networks 119: 139-150 (2019) - [c24]Saerom Park, Jaewook Lee, Jung Hee Cheon, Juhee Lee, Jaeyun Kim, Junyoung Byun:
Security-preserving Support Vector Machine with Fully Homomorphic Encryption. SafeAI@AAAI 2019 - 2018
- [j50]Huisu Jang, Jaewook Lee:
An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information. IEEE Access 6: 5427-5437 (2018) - [j49]Junghoon Hah, Woojin Lee, Jaewook Lee, Saerom Park:
Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning. Comput. Intell. Neurosci. 2018: 6465949:1-6465949:14 (2018) - [j48]Youngdoo Son, Sujee Lee, Saerom Park, Jaewook Lee:
Learning representative exemplars using one-class Gaussian process regression. Pattern Recognit. 74: 185-197 (2018) - 2016
- [j47]Namhyoung Kim, Youngdoo Son, Youngjo Lee, Jaewook Lee:
Self-correcting ensemble using a latent consensus model. Appl. Soft Comput. 47: 262-270 (2016) - [j46]Youngdoo Son, Hyeongmin Byun, Jaewook Lee:
Nonparametric machine learning models for predicting the credit default swaps: An empirical study. Expert Syst. Appl. 58: 210-220 (2016) - [j45]Youngdoo Son, Jaewook Lee:
Active learning using transductive sparse Bayesian regression. Inf. Sci. 374: 240-254 (2016) - [c23]Huisu Jang, Jaewook Lee:
A general framework for building machine learning models for pricing american index options with no-arbitrage and its limitation. MIDAS@PKDD/ECML 2016: 29-30 - 2015
- [j44]Kyoungok Kim, Youngdoo Son, Jaewook Lee:
Voronoi Cell-Based Clustering Using a Kernel Support. IEEE Trans. Knowl. Data Eng. 27(4): 1146-1156 (2015) - 2014
- [j43]Hyun-Chul Kim, Jaewook Lee, Daewon Lee:
Transductive Gaussian Processes with Applications to Object Pose Estimation. Comput. J. 57(3): 339-346 (2014) - [j42]Hyejin Park, Namhyoung Kim, Jaewook Lee:
Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options. Expert Syst. Appl. 41(11): 5227-5237 (2014) - [j41]Kyoungok Kim, Chi-Hyuck Jun, Jaewook Lee:
Improved churn prediction in telecommunication industry by analyzing a large network. Expert Syst. Appl. 41(15): 6575-6584 (2014) - [j40]Kyoungok Kim, Jaewook Lee:
Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2303-2309 (2014) - [j39]Kyoungok Kim, Jaewook Lee:
Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction. Pattern Recognit. 47(2): 758-768 (2014) - 2013
- [j38]Kyu-Hwan Jung, Jaewook Lee:
Probabilistic generative ranking method based on multi-support vector domain description. Inf. Sci. 247: 144-153 (2013) - [j37]Jaewook Lee, Younhee Lee:
Tridiagonal implicit method to evaluate European and American options under infinite activity Lévy models. J. Comput. Appl. Math. 237(1): 234-243 (2013) - 2012
- [j36]Seung-Ho Yang, Jaewook Lee:
Multi-basin particle swarm intelligence method for optimal calibration of parametric Lévy models. Expert Syst. Appl. 39(1): 482-493 (2012) - [j35]Youngdoo Son, Dong-jin Noh, Jaewook Lee:
Forecasting trends of high-frequency KOSPI200 index data using learning classifiers. Expert Syst. Appl. 39(14): 11607-11615 (2012) - [j34]Namhyoung Kim, Kyu-Hwan Jung, Yong Seog Kim, Jaewook Lee:
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation. Expert Syst. Appl. 39(15): 11839-11845 (2012) - [j33]Hyejin Park, Heun A. Kim, Seung-Ho Yang, Jaewook Lee:
Transductive Bayesian regression via manifold learning of prior data structure. Expert Syst. Appl. 39(16): 12557-12563 (2012) - [j32]Hyejin Park, Jaewook Lee:
Forecasting nonnegative option price distributions using Bayesian kernel methods. Expert Syst. Appl. 39(18): 13243-13252 (2012) - [j31]Kyoungok Kim, Jaewook Lee:
Sequential manifold learning for efficient churn prediction. Expert Syst. Appl. 39(18): 13328-13337 (2012) - [c22]Namhyoung Kim, Jaewook Lee, Kyu-Hwan Jung, Yong Seog Kim:
A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication. HICSS 2012: 1023-1029 - 2011
- [j30]Seung-Ho Yang, Jaewook Lee:
Predicting a distribution of implied volatilities for option pricing. Expert Syst. Appl. 38(3): 1702-1708 (2011) - [j29]Seung-Ho Yang, Younhee Lee, Gabjin Oh, Jaewook Lee:
Calibrating parametric exponential Lévy models to option market data by incorporating statistical moments priors. Expert Syst. Appl. 38(5): 4816-4823 (2011) - [j28]Kyu-Hwan Jung, Namhyoung Kim, Jaewook Lee:
Dynamic pattern denoising method using multi-basin system with kernels. Pattern Recognit. 44(8): 1698-1707 (2011) - 2010
- [j27]Jaewook Lee, Suk-Ho Kang, Jay M. Rosenberger, Seoung Bum Kim:
A hybrid approach of goal programming for weapon systems selection. Comput. Ind. Eng. 58(3): 521-527 (2010) - [j26]Buhwan Jeong, Jaewook Lee, Hyunbo Cho:
Improving memory-based collaborative filtering via similarity updating and prediction modulation. Inf. Sci. 180(5): 602-612 (2010) - [j25]Kyu-Hwan Jung, Daewon Lee, Jaewook Lee:
Fast support-based clustering method for large-scale problems. Pattern Recognit. 43(5): 1975-1983 (2010) - [j24]Daewon Lee, Jaewook Lee:
Dynamic Dissimilarity Measure for Support-Based Clustering. IEEE Trans. Knowl. Data Eng. 22(6): 900-905 (2010)
2000 – 2009
- 2009
- [j23]Buhwan Jeong, Daewon Lee, Jaewook Lee, Hyunbo Cho:
Support for seamless data exchanges between web services through information mapping analysis using kernel methods. Expert Syst. Appl. 36(1): 358-365 (2009) - [j22]Gyu-Sik Han, Bo-Hyun Kim, Jaewook Lee:
Kernel-based Monte Carlo simulation for American option pricing. Expert Syst. Appl. 36(3): 4431-4436 (2009) - [j21]Buhwan Jeong, Jaewook Lee, Hyunbo Cho:
An iterative semi-explicit rating method for building collaborative recommender systems. Expert Syst. Appl. 36(3): 6181-6186 (2009) - [j20]Buhwan Jeong, Jaewook Lee, Hyunbo Cho:
User credit-based collaborative filtering. Expert Syst. Appl. 36(3): 7309-7312 (2009) - [j19]Hyunjin Heo, Hyejin Park, Namhyoung Kim, Jaewook Lee:
Prediction of credit delinquents using locally transductive multi-layer perceptron. Neurocomputing 73(1-3): 169-175 (2009) - [j18]Daewon Lee, Kyu-Hwan Jung, Jaewook Lee:
Constructing Sparse Kernel Machines Using Attractors. IEEE Trans. Neural Networks 20(4): 721-729 (2009) - 2008
- [j17]Buhwan Jeong, Daewon Lee, Hyunbo Cho, Jaewook Lee:
A novel method for measuring semantic similarity for XML schema matching. Expert Syst. Appl. 34(3): 1651-1658 (2008) - [j16]Gyu-Sik Han, Jaewook Lee:
Prediction of pricing and hedging errors for equity linked warrants with Gaussian process models. Expert Syst. Appl. 35(1-2): 515-523 (2008) - [c21]Hyun-Joo Lee, Seung-Ho Yang, Gyu-Sik Han, Jaewook Lee:
Simulations for American Option Pricing Under a Jump-Diffusion Model: Comparison Study between Kernel-Based and Regression-based Methods. ISNN (1) 2008: 655-662 - 2007
- [j15]Daewon Lee, Jaewook Lee, Younggui Yoon:
A quadratic string adapted barrier exploring method for locating transition states. Comput. Phys. Commun. 177(1-2): 218 (2007) - [j14]Jaewook Lee:
A novel three-phase trajectory informed search methodology for global optimization. J. Glob. Optim. 38(1): 61-77 (2007) - [j13]Hyun-Chul Kim, Jaewook Lee:
Clustering Based on Gaussian Processes. Neural Comput. 19(11): 3088-3107 (2007) - [j12]Daewon Lee, Jaewook Lee:
Domain described support vector classifier for multi-classification problems. Pattern Recognit. 40(1): 41-51 (2007) - [j11]Daewon Lee, Jaewook Lee:
Equilibrium-Based Support Vector Machine for Semisupervised Classification. IEEE Trans. Neural Networks 18(2): 578-583 (2007) - [c20]Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee:
Approximate Sampling Method for Locally Linear Embedding. IJCNN 2007: 592-595 - 2006
- [j10]Catherine Cho, Sooyoung Kim, Jaewook Lee, Daewon Lee:
A tandem clustering process for multimodal datasets. Eur. J. Oper. Res. 168(3): 998-1008 (2006) - [j9]Jaewook Lee, Daewon Lee:
Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 28(11): 1869-1874 (2006) - [j8]Won-young Shin, Soo Chang, Jaewook Lee, Chi-Hyuck Jun:
Frequency Insertion Strategy for Channel Assignment Problem. Wirel. Networks 12(1): 45-52 (2006) - [c19]Daewon Lee, Jaewook Lee:
A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description. IJCNN 2006: 3627-3633 - [c18]Daewon Lee, Jaewook Lee:
Support Vector Classifier Using Basin-Based Sampling for Security Assessment of Nonlinear Power and Control Systems. IJCNN 2006: 4369-4374 - [c17]Kyu-Hwan Jung, Hyun-Chul Kim, Jaewook Lee:
A Novel Learning Network for Option Pricing with Confidence Interval Information. ISNN (2) 2006: 491-497 - [c16]Bo-Hyun Kim, Daewon Lee, Jaewook Lee:
Local Volatility Function Approximation Using Reconstructed Radial Basis Function Networks. ISNN (2) 2006: 524-530 - [c15]Hyun-Chul Kim, Jaewook Lee:
Pseudo-density Estimation for Clustering with Gaussian Processes. ISNN (1) 2006: 1238-1243 - 2005
- [j7]Jong-Seok Lee, Chi-Hyuck Jun, Jaewook Lee, Sooyoung Kim:
Classification-based collaborative filtering using market basket data. Expert Syst. Appl. 29(3): 700-704 (2005) - [j6]Jaewook Lee, Daewon Lee:
An Improved Cluster Labeling Method for Support Vector Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 461-464 (2005) - [j5]Jaewook Lee:
Pseudobasin of attraction for combinatorial dynamical systems: theory and its application to combinatorial optimization. IEEE Trans. Circuits Syst. II Express Briefs 52-II(4): 189-193 (2005) - [c14]Younggui Yoon, Jaewook Lee:
Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training. ISNN (1) 2005: 597-602 - [c13]Daewon Lee, Jaewook Lee:
Trajectory-Based Support Vector Multicategory Classifier. ISNN (1) 2005: 857-862 - [c12]Gyu-Sik Han, Daewon Lee, Jaewook Lee:
Estimating the Yield Curve Using Calibrated Radial Basis Function Networks. ISNN (2) 2005: 885-890 - [c11]Hyoseok Lee, Jaewook Lee, Younggui Yoon, Sooyoung Kim:
Coherent Risk Measure Using Feedfoward Neural Networks. ISNN (2) 2005: 904-909 - 2004
- [j4]Jaewook Lee:
An optimization-driven framework for the computation of the controlling UEP in transient stability analysis. IEEE Trans. Autom. Control. 49(1): 115-119 (2004) - [j3]Jaewook Lee, Hsiao-Dong Chiang:
A dynamical trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems. IEEE Trans. Autom. Control. 49(6): 888-899 (2004) - [j2]Jaewook Lee, Hsiao-Dong Chiang:
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 51-II(4): 185-189 (2004) - [c10]Daewon Lee, Hyung-Jun Choi, Jaewook Lee:
A Regularized Line Search Tunneling for Efficient Neural Network Learning. ISNN (1) 2004: 239-243 - [c9]Hyuk-Soon Lee, Daewon Lee, Jaewook Lee:
Multi-stage Neural Networks for Channel Assignment in Cellular Radio Networks. ISNN (2) 2004: 287-292 - [c8]Daewon Lee, Jaewook Lee:
A Novel Three-Phase Algorithm for RBF Neural Network Center Selection. ISNN (1) 2004: 350-355 - [c7]Hyung-Jun Choi, Hyoseok Lee, Gyu-Sik Han, Jaewook Lee:
Efficient Option Pricing via a Globally Regularized Neural Network. ISNN (2) 2004: 988-993 - 2003
- [j1]Jaewook Lee:
Dynamic gradient approaches to compute the closest unstable equilibrium point for stability region estimate and their computational limitations. IEEE Trans. Autom. Control. 48(2): 321-324 (2003) - [c6]Jaewook Lee:
A novel homotopy-based algorithm for the closest unstable equilibrium point method in nonlinear stability analysis. ISCAS (3) 2003: 8-11 - 2001
- [c5]Jaewook Lee, Hsiao-Dong Chiang:
A trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems. ISCAS (3) 2001: 81-84 - [c4]Jaewook Lee, Hsiao-Dong Chiang:
Computation of multiple type-one equilibrium points on the stability boundary using generalized fixed-point homotopy methods. ISCAS (3) 2001: 361-364 - [c3]Jaewook Lee, Hsiao-Dong Chiang:
Quotient gradient methods for solving constraint satisfaction problems. ISCAS (3) 2001: 365-368 - 2000
- [c2]Jaewook Lee, Hsiao-Dong Chiang:
Convergent regions of Newton homotopy methods for nonlinear systems: theory and computational applications. ISCAS 2000: 177-180 - [c1]Jaewook Lee, Hsiao-Dong Chiang:
Stability regions of non-hyperbolic dynamical systems: theory and optimal estimation. ISCAS 2000: 200-203
Coauthor Index
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