Kichun Lee

Orcid: 0000-0002-5184-7151

Affiliations:
  • Hanyang University, Department of Industrial Engineering, Seoul, South Korea


According to our database1, Kichun Lee authored at least 33 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A two-layer regression network for robust and accurate domain adaptation.
Pattern Recognit., 2025

2023
Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers.
Int. J. Comput. Intell. Syst., December, 2023

Data generation using geometrical edge probability for one-class support vector machines.
Expert Syst. Appl., November, 2023

Anomaly Detection Using an Ensemble of Multi-Point LSTMs.
Entropy, November, 2023

Adaptive boosting for ordinal target variables using neural networks.
Stat. Anal. Data Min., June, 2023

Probabilistic orthogonal-signal-corrected principal component analysis.
Knowl. Based Syst., 2023

2022
DNN compression by ADMM-based joint pruning.
Knowl. Based Syst., 2022

Knowledge distillation for BERT unsupervised domain adaptation.
Knowl. Inf. Syst., 2022

Online dependence clustering of multivariate streaming data using one-class SVMs.
Int. J. Intell. Syst., 2022

Dual recurrent neural networks using partial linear dependence for multivariate time series.
Expert Syst. Appl., 2022

2021
Online sequential extreme studentized deviate tests for anomaly detection in streaming data with varying patterns.
Clust. Comput., 2021

Feature selection using distributions of orthogonal PLS regression vectors in spectral data.
BioData Min., 2021

2020
Knowledge Distillation for BERT Unsupervised Domain Adaptation.
CoRR, 2020

2019
Ensemble patch sparse coding: A feature learning method for classification of images with ambiguous edges.
Expert Syst. Appl., 2019

A unified framework of trust prediction based on message passing.
Clust. Comput., 2019

A biplot correlation range for group-wise metabolite selection in mass spectrometry.
BioData Min., 2019

2018
Revealing community structures by ensemble clustering using group diffusion.
Inf. Fusion, 2018

Opinion mining using ensemble text hidden Markov models for text classification.
Expert Syst. Appl., 2018

Two-mode modularity clustering of parts and activities for cell formation problems.
Comput. Oper. Res., 2018

Data imputation using a trust network for recommendation via matrix factorization.
Comput. Sci. Inf. Syst., 2018

2017
Predictability-based collective class association rule mining.
Expert Syst. Appl., 2017

Semi-supervised Bayesian adaptive multiresolution shrinkage for wavelet-based denoising.
Commun. Stat. Simul. Comput., 2017

A flash-aware buffering scheme with the on-the-fly redo for efficient data management in flash storage.
Comput. Sci. Inf. Syst., 2017

2016
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2014
Dependence clustering, a method revealing community structure with group dependence.
Knowl. Based Syst., 2014

Data imputation using a trust network for recommendation.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Support vector machine-based boundary recovery of a medical image segment in low resolution.
J. Electronic Imaging, 2013

Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data.
Data Min. Knowl. Discov., 2013

A probability-based trust prediction model using trust-message passing.
Proceedings of the 22nd International World Wide Web Conference, 2013

2012
Semi-supervised wavelet shrinkage.
Comput. Stat. Data Anal., 2012

2011
Diagnostic Classification of Digital Mammograms by Wavelet-Based Spectral Tools: A Comparative Study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2008
Wavelet-Based 3-D Multifractal Spectrum with Applications in Breast MRI Images.
Proceedings of the Bioinformatics Research and Applications, 2008

2006
Global Optimization of Support Vector Machines Using Genetic Algorithms for Bankruptcy Prediction.
Proceedings of the Neural Information Processing, 13th International Conference, 2006


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