Extension of Convolutional Neural Network with General Image Processing Kernels. - Jay Hoon Jung; Yousun Shin; YoungMin Kwon (TENCON, 2018)

Robustness of Piece-Wise Linear Neural Network with Feasible Region Approaches. - Jay Hoon Jung; YoungMin Kwon (ICFEM, 2019)

Quantitative Model Checking for a Resilient Control System. - Jay Hoon Jung; Eunhee Kim; YoungMin Kwon (SSCI, 2019)

A Metric to Measure Contribution of Nodes in Neural Networks. - Jay Hoon Jung; Yousun Shin; YoungMin Kwon (SSCI, 2019)

Color, Edge, and Pixel-wise Explanation of Predictions Based on Interpretable Neural Network Model. - Jay Hoon Jung; YoungMin Kwon (ICPR, 2020)

Boundaries of Single-Class Regions in the Input Space of Piece-Wise Linear Neural Networks. - Jay Hoon Jung; YoungMin Kwon (ICPR, 2020)

A Metric to Compare Pixel-Wise Interpretation Methods for Neural Networks. - Jay Hoon Jung; YoungMin Kwon (IEEE Access, 2020)

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection. - Dongsu Song; Daehwa Ko; Jay Hoon Jung (NeurIPS, 2024)

An End-to-End Learning-Based Control Signal Prediction for Autonomous Robotic Colonoscopy. - Van Sy Nguyen; Bo-Hyun Hwang; Byungkyu Kim; Jay Hoon Jung (IEEE Access, 2024)