Jaewook Lee
Orcid: 0000-0001-5720-8337Affiliations:
- Seoul National University, Department of Industrial Engineering, South Korea
- Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering, South Korea (2001 - 2012)
- Cornell University, Ithaca, NY, USA (PhD 1999)
According to our database1,
Jaewook Lee
authored at least 106 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Fast sharpness-aware training for periodic time series classification and forecasting.
Appl. Soft Comput., September, 2023
Pattern Recognit., May, 2023
Appl. Intell., May, 2023
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Efficient differentially private kernel support vector classifier for multi-class classification.
Inf. Sci., 2023
CoRR, 2023
Improving the Utility of Differentially Private Clustering through Dynamical Processing.
CoRR, 2023
CoRR, 2023
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Variational cycle-consistent imputation adversarial networks for general missing patterns.
Pattern Recognit., 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
Compact class-conditional domain invariant learning for multi-class domain adaptation.
Pattern Recognit., 2021
A Survey on Security and Privacy in Blockchain-based Central Bank Digital Currencies.
J. Internet Serv. Inf. Secur., 2021
Inf. Sci., 2021
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Joint Transfer of Model Knowledge and Fairness Over Domains Using Wasserstein Distance.
IEEE Access, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Neural Networks, 2019
Learning of indiscriminate distributions of document embeddings for domain adaptation.
Intell. Data Anal., 2019
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019
2018
Pattern Recognit., 2018
Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning.
Comput. Intell. Neurosci., 2018
An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information.
IEEE Access, 2018
2016
Nonparametric machine learning models for predicting the credit default swaps: An empirical study.
Expert Syst. Appl., 2016
A general framework for building machine learning models for pricing american index options with no-arbitrage and its limitation.
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
2014
Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction.
Pattern Recognit., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options.
Expert Syst. Appl., 2014
Improved churn prediction in telecommunication industry by analyzing a large network.
Expert Syst. Appl., 2014
Comput. J., 2014
2013
Tridiagonal implicit method to evaluate European and American options under infinite activity Lévy models.
J. Comput. Appl. Math., 2013
Probabilistic generative ranking method based on multi-support vector domain description.
Inf. Sci., 2013
2012
Multi-basin particle swarm intelligence method for optimal calibration of parametric Lévy models.
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012
2011
Pattern Recognit., 2011
Calibrating parametric exponential Lévy models to option market data by incorporating statistical moments priors.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
2010
IEEE Trans. Knowl. Data Eng., 2010
Pattern Recognit., 2010
Improving memory-based collaborative filtering via similarity updating and prediction modulation.
Inf. Sci., 2010
Comput. Ind. Eng., 2010
2009
IEEE Trans. Neural Networks, 2009
Neurocomputing, 2009
Support for seamless data exchanges between web services through information mapping analysis using kernel methods.
Expert Syst. Appl., 2009
An iterative semi-explicit rating method for building collaborative recommender systems.
Expert Syst. Appl., 2009
Expert Syst. Appl., 2009
2008
Expert Syst. Appl., 2008
Prediction of pricing and hedging errors for equity linked warrants with Gaussian process models.
Expert Syst. Appl., 2008
Simulations for American Option Pricing Under a Jump-Diffusion Model: Comparison Study between Kernel-Based and Regression-based Methods.
Proceedings of the Advances in Neural Networks, 2008
2007
IEEE Trans. Neural Networks, 2007
Pattern Recognit., 2007
J. Glob. Optim., 2007
Comput. Phys. Commun., 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2006
Local Volatility Function Approximation Using Reconstructed Radial Basis Function Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Support Vector Classifier Using Basin-Based Sampling for Security Assessment of Nonlinear Power and Control Systems.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Pseudobasin of attraction for combinatorial dynamical systems: theory and its application to combinatorial optimization.
IEEE Trans. Circuits Syst. II Express Briefs, 2005
IEEE Trans. Pattern Anal. Mach. Intell., 2005
Expert Syst. Appl., 2005
Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
2004
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, 2004
A dynamical trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems.
IEEE Trans. Autom. Control., 2004
An optimization-driven framework for the computation of the controlling UEP in transient stability analysis.
IEEE Trans. Autom. Control., 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
2003
Dynamic gradient approaches to compute the closest unstable equilibrium point for stability region estimate and their computational limitations.
IEEE Trans. Autom. Control., 2003
A novel homotopy-based algorithm for the closest unstable equilibrium point method in nonlinear stability analysis.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
2001
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001
Computation of multiple type-one equilibrium points on the stability boundary using generalized fixed-point homotopy methods.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001
A trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001
2000
Convergent regions of Newton homotopy methods for nonlinear systems: theory and computational applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
Stability regions of non-hyperbolic dynamical systems: theory and optimal estimation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000