Machine learning modeling assistance for non-expert developers. - Ki Sun Park; Kyoung-Soon Hwang; Keon Myung Lee; Chan Sik Han; Jin Han (RACS, 2019)

Word recommendation for English composition using big corpus data processing. - Keon-Myung Lee; Chan Sik Han; Kwang-Il Kim 001; Sang Ho Lee 002 (Clust. Comput., 2019)

Batch-Free Event Sequence Pattern Mining for Communication Stream Data with Instant and Persistent Events. - Keon-Myung Lee; Chan Sik Han; Joong Nam Jun; Jee-Hyong Lee 001; Sang Ho Lee 002 (Wirel. Pers. Commun., 2019)

Channel-Wise Attention and Channel Combination for Knowledge Distillation. - Chan Sik Han; Keon Myung Lee (RACS, 2020)

Spiking Neural Network Transformer for Deploying into a Deep Learning Framework. - Chan Sik Han; Keon Myung Lee (RACS, 2020)

Long bone fracture type classification for limited number of CT data with deep learning. - Keon Myung Lee; Sang Yeon Lee; Chan Sik Han; Seung Myung Choi (SAC, 2020)

A Survey on Spiking Neural Networks. - Chan Sik Han; Keon Myung Lee (Int. J. Fuzzy Log. Intell. Syst., 2021)

Correlation-based regularization for fast and energy-efficient spiking neural networks. - Chan Sik Han; Keon Myung Lee (SAC, 2022)

Hybrid Deep Learning Model for Time Series Anomaly Detection. - Chan Sik Han; Keon Myung Lee (RACS, 2023)

Gradient-based Counterfactual Generation for Sparse and Diverse Counterfactual Explanations. - Chan Sik Han; Keon Myung Lee (SAC, 2023)