Publications

Robust Perception & State Estimation

Local Geometry Attention for Time Series Forecasting under Realistic Corruptions

D. Kim, Y. Park, W. Jeong, J. Lee

ICLR, 2026

Towards undetectable adversarial attack on time series classification

H. Kim, Y. Lee, W. Lee, J. Lee*

Information Sciences, 122216, 2025

Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method

H. Kim, S. Lee, J. Lee*, W. Lee, Y. Son

Engineering Applications of AI 130, 107980, 2024

Generating Transferable Adversarial Examples for Speech Classification

H. Kim, J. Park, J. Lee*

Pattern Recognition 137, 109286, 2023

Variational cycle-consistent imputation adversarial networks for general missing patterns

W. Lee, S. Lee, J. Byun, H. Kim, J. Lee* 

Pattern Recognition 129, 108720, 2022 

Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System 

S. Park, J. Lee*

IEEE Transactions on Knowledge and Data Engineering, 33 (8), 3155-3159, 2021

Compact class-conditional domain invariant learning for multi-class domain adaptation

W. Lee, H. Kim, J. Lee*

Pattern Recognition, Vol. 112, 107763, 2021

Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds

K. Kim, J. Lee*

IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36(11), pp. 2303–2309, 2014

Transductive Gaussian processes with applications to object pose estimation

H.-C. Kim, J. Lee, D. Lee*

The Computer Journal, Vol. 57(3), pp. 339–346, 2014

Dynamic pattern denoising method using multi-basin system with kernels

K. Jung, N. Kim, J. Lee*

Pattern Recognition, Vol. 44(8), pp. 1698–1707, 2011

Predictive Process & World Models

TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation

J.Park, S. Lee, W. Jeong, Y. Choi, J.Lee*

KDD, 2026

Are Self-Attentions Effective for Time Series Forecasting?

D. Kim, J. Park, J. Lee, H. Kim 

NeurIPS, 2024

Fast sharpness-aware training for periodic time series classification and forecasting

J. Park, H. Kim, Y. Choi, W. Lee, J. Lee*

Applied Soft Computing 144, 110467, 2023

Self-correcting ensemble using a latent consensus model

N. Kim, Y. Youngdoo, Y. Lee, J. Lee*

Applied Soft Computing, Vol. 47(10), pp. 262–270, 2016

Safe Planning & Robust Decision Making

Sliced Wasserstein adversarial training for improving adversarial robustness

W. Lee, S. Lee, H. Kim, J. Lee* 

Journal of Ambient Intelligence and Humanized Computing 15(8), 3229-3242, 2024

Fantastic Robustness Measures: The Secrets of Robust Generalization

H. Kim, J. Park, Y. Choi, J. Lee* 

NeurIPS, 2023

Bridged adversarial training

H. Kim, W. Lee, S. Lee, J. Lee*

Neural Networks, 2023

Implicit Jacobian regularization weighted with impurity of probability output

S. Lee, J. Park, J. Lee*

ICML, 2023

GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization

S. Lee, W. Lee, J. Lee*

IEEE TPAMI 45 (2), 2645-2651, 2022

Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples

S. Lee, W. Lee, J. Lee*

NeurIPS, 2021

Understanding Catastrophic Overfitting in Single-step Adversarial Training

H. Kim, W. Lee, J. Lee*

AAAI, 2021 

Lipschitz-Certifiable Training with a Tight Outer Bound

S. Lee, J. Lee, S. Park* 

NeurIPS, 2020 

Stable Control & Verified Optimization

A quadratic string adapted barrier exploring method for locating transition states

D.-W. Lee*, J. Lee, Y.-G. Yoon

Computer Physics Communications, Vol. 177, p. 218, 2007

A novel three-phase trajectory informed search methodology for global optimization

J. Lee*

Journal of Global Optimization, Vol. 38(1), pp. 61–77, 2007

Frequency insertion strategy for channel assignment problem

W.-Y. Shin, S. Y. Chang, J. Lee, C.-H. Jun*

Wireless Networks, Vol. 12(1), pp. 45–52, 2006

Joint economic production allocation and ordering policies in a supply chain consisting of multiple plants and a single retailer

T. Kim, Y. Hong*, J. Lee

International Journal of Production Research, Vol. 43(17), pp. 3619–3632, 2005

Efficient optimization of process parameters in shadow mask manufacturing using genetic algorithm

B. Jeong, J. Lee, H. Cho*

International Journal of Production Research, Vol. 43(15), pp. 3209–3230, 2005

Pseudo-basin of attraction for combinatorial dynamical systems: theory and its application to combinatorial optimization

J. Lee*

IEEE Transactions on Circuits and Systems II, Vol. 52(4), pp. 189–193, 2005

A dynamical trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems

J. Lee*, H.-D. Chiang

IEEE Transactions on Automatic Control, Vol. 49(6), pp. 888–899, 2004

A singular fixed-point homotopy method to locate the closest unstable equilibrium point for transient stability region estimate

J. Lee*, H.-D. Chiang

IEEE Transactions on Circuits and Systems II, Vol. 51(4), pp. 185–189, 2004

An optimization-driven framework for the computation of the controlling UEP in transient stability analysis

J. Lee*

IEEE Transactions on Automatic Control, Vol. 49(1), pp. 115–119, 2004

Attractor-based trust-region algorithm for efficient training of multilayer perceptrons

J. Lee*

Electronics Letters, Vol. 39(9), pp. 71–72, 2003

Dynamic gradient approaches to compute the closest unstable equilibrium point for stability region estimate and their computational limitations

J. Lee*

IEEE Transactions on Automatic Control, Vol. 48(2), pp. 321–324, 2003

Theory of stability regions of a class of non-hyperbolic dynamical systems and its applications to constraint satisfaction problems

J. Lee*, H.-D. Chiang

IEEE Transactions on Circuits and Systems I, Vol. 49(2), pp. 196–209, 2002

Convergent regions of Newton homotopy method for nonlinear systems: theory and computational applications

J. Lee*, H.-D. Chiang

IEEE Transactions on Circuits and Systems I, Vol. 48(1), pp. 51–66, 2001

Constructive homotopy methods for finding all or multiple DC operating points of nonlinear circuits and systems

J. Lee*, H.-D. Chiang

IEEE Transactions on Circuits and Systems I, Vol. 48(1), pp. 35–50, 2001

Runtime Safety Assurance & Explainability

JoCE: Joint Counterfactual Explanations for Interpretable Time Series Anomaly Detection

W. Jeong, G. Shin, J. Lee*

Pattern Recognition, 177, 113324, 2026

Differentially private upsampling for enhanced anomaly detection in imbalanced data

Y. Choi, J. Park, Y. Park, J. Lee, J. Byun

Engineering Applications of AI, Vol. 163, 113124, 2026

Privacy-preserving inference resistant to model extraction attacks

J. Byun, Y. Choi, J. Lee*, S. Park 

Expert Systems with Applications 256, 124830, 2024 

Privacy Preserving & Fair AI

Differentially private upsampling for enhanced anomaly detection in imbalanced data

Y. Choi, J. Park, Y. Park, J. Lee, J. Byun*

Engineering Applications of AI, Vol. 163, 113124, 2026

Multi-Class Support Vector Machine with Differential Privacy

J. Park, Y. Choi, J. Lee

NeurIPS, 2025

Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?

Y. Choi, Y. Park, J. Byun, J. Lee, J. Park

EMNLP, 2025

Improving the utility of differentially private clustering through dynamical processing

J. Byun, Y. Choi, J. Lee*

Pattern Recognition 157, 110890, 2025

Fair sampling in diffusion models through switching mechanism

Y. Choi, J. Park, H. Kim, J. Lee*, S. Park

AAAI 38(20), 21995–22005, 2024 

In-distribution public data synthesis with diffusion models for differentially private image classification

J. Park, Y. Choi, J. Lee* 

CVPR, 2024 

Efficient differentially private kernel support vector classifier for multi-class classification 

J. Park, Y. Choi, J. Byun, J. Lee, S. Park* 

Information Sciences 619, 889-907, 2023 

Fast and Differentially Private Fair Clustering 

J. Byun, W. Lee, J. Lee*

IJCAI, 2023 

Differentially Private Sharpness-Aware Training 

J. Park, H. Kim, Y. Choi, J. Lee* 

ICML, 2023 

Efficient homomorphic encryption framework for privacy-preserving regression 

J. Byun, S. Park, J. Lee* 

Applied Intelligence 53 (9), 10114-10129, 2022 

Parameter-free HE-friendly Logistic Regression 

J. Byun, W. Lee, J. Lee*

NeurIPS, 2021 

Fair Clustering with Fair Correspondence Distribution 

W. Lee, H. Ko, J. Byun, T. Yoon, J. Lee* 

Information Sciences 581, 155-178, 2021 

HE-friendly algorithm for privacy-preserving SVM training

S. Park, J. Byun, J. Lee, J. Cheon, J. Lee*

IEEE Access, Vol. 8, pp. 57414–57425, 2020

Stable & Robust Machine Learning

Stability Analysis of Sharpness-Aware Minimization

H. Kim, J.Park, Y.Choi, J. Lee*

ICML, 2026

Local Geometry Attention for Time Series Forecasting under Realistic Corruptions

D. Kim, Y. Park, W. Jeong, J. Lee*

ICLR, 2026

Exploring the Effect of Multi-Step Ascent in Sharpness-Aware Minimization

H. Kim, J. Park, W. Lee, J. Lee, Y. Choi*

IEEE, 2026

Semi-supervised distributed representations of documents for sentiment analysis

S. Park, J. Lee, K. Kim*

Neural Networks, Vol. 119, pp. 139–150, 2019

Learning of indiscriminate distributions of document embeddings for domain adaptation

S. Park, W. Lee, J. Lee*

Intelligent Data Analysis, Vol. 231(4), pp. 779–797, 2019

Active learning using transductive sparse Bayesian regression

Y. Son, J. Lee*

Information Sciences, Vol. 374, pp. 240–254, 2016

Voronoi Cell-Based Clustering Using a Kernel Support

K. Kim, Y. Youngdoo, J. Lee*

IEEE Transactions on Knowledge and Data Engineering, Vol. 27(4), pp. 1146–1156, 2015

Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction

K. Kim, J. Lee*

Pattern Recognition, Vol. 47(2), pp. 758–768, 2014

Probabilistic Generative Ranking Method Based on Multi-Support Vector Domain Description

K. Jung, J. Lee*

Information Sciences, Vol. 247, pp. 144–153, 2013

Dynamic Dissimilarity Measure for Support-based Clustering

D. Lee, J. Lee*

IEEE Transactions on Knowledge and Data Engineering, Vol. 22(6), pp. 900–905, 2010

Fast Support-based Clustering for Large-scale Problems

K. Jung, D. Lee, J. Lee*

Pattern Recognition, Vol. 43, pp. 1975–1983, 2010

Improving memory-based collaborative filtering via similarity updating and prediction modulation

B. Jeong, J. Lee*, H. Cho

Information Sciences, Vol. 180, pp. 602–612, 2010

Constructing Sparse Kernel Machines Using Attractors

D. Lee, K. Jung, J. Lee*

IEEE Transactions on Neural Networks, Vol. 20(4), pp. 721–729, 2009

Clustering Based on Gaussian Processes

H. Kim, J. Lee*

Neural Computation, Vol. 19(11), pp. 3088–3107, 2007

Equilibrium-Based Support Vector Machine for Semi-Supervised Classification

D. Lee, J. Lee*

IEEE Transactions on Neural Networks, Vol. 18(2), pp. 578–583, 2007

Domain described support vector classifier for multi-classification problems

D. Lee, J. Lee*

Pattern Recognition, Vol. 40, pp. 41–51, 2007

Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering

J. Lee*, D. Lee

IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28(11), pp. 1869–1874, 2006

An Improved Cluster Labeling Method for Support Vector Clustering

J. Lee*, D. Lee

IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27(3), pp. 461–464, 2005

Data-Centric AI Engineering

Inductive ensemble clustering using kernel support matching

S. Park, J. Hah, J. Lee*

Electronics Letters, Vol. 53(25), pp. 1625–1626, 2017

Improved churn prediction in telecommunication industry by analyzing a large network

K. Kim, C.-H. Jun, J. Lee*

Expert Systems with Applications, Vol. 41(15), pp. 6575–6584, 2014

Sequential manifold learning for efficient churn prediction

K. Kim, J. Lee*

Expert Systems with Applications, Vol. 39(18), pp. 13328–13337, 2012

Transductive Bayesian regression via manifold learning of prior data structure

H. Park, H. Kim, S. Yang, J. Lee*

Expert Systems with Applications, Vol. 39(16), pp. 12557–12563, 2012

Uniformly subsampled ensemble (USE) for churn management: Theory and implementation

N. Kim, K.-H. Jung, Y. Kim, J. Lee*

Expert Systems with Applications, Vol. 39(15), pp. 11839–11845, 2012

Prediction of credit delinquents using locally transductive multi-layer perceptron

H. Heo, H. Park, N. Kim, J. Lee*

Neurocomputing, Vol. 73, pp. 169–175, 2009

An iterative semi-explicit rating method for building collaborative recommender systems

B. Jeong, J. Lee*, H. Cho

Expert Systems with Applications, Vol. 36(3), pp. 6181–6186, 2009

User credit-based collaborative filtering

B. Jeong, J. Lee*, H. Cho

Expert Systems with Applications, Vol. 36(3), pp. 7309–7312, 2009

Support for seamless data exchanges between web services through information mapping analysis using kernel methods

B. Jeong, D. Lee, J. Lee*, H. Cho

Expert Systems with Applications, Vol. 36(1), pp. 358–365, 2009

A novel method for measuring semantic similarity for XML schema matching

B. Jeong, D. Lee, H. Cho, J. Lee*

Expert Systems with Applications, Vol. 34, pp. 1651–1658, 2008

A tandem clustering process for multimodal datasets

C. Cho, S. Kim*, J. Lee, D.-W. Lee

European Journal of Operational Research, Vol. 168(3), pp. 998–1008, 2006

Designing of variables repetitive group sampling plan involving minimum average sample number

S. Balamurali, H. Park, C.-H. Jun*, K.-J. Kim, J. Lee

Communications in Statistics—Simulation and Computation, Vol. 34, pp. 799–809, 2005

Classification-based collaborative filtering using market basket data

J.-S. Lee, C.-H. Jun*, J. Lee, S. Kim

Expert Systems with Applications, Vol. 29, pp. 700–704, 2005