Jay Hoon Jung

12 papers A* 1B 2C 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
TRAIL: Trajectory-Based Representation and Integration for Limiting Over-Smoothing.
Mach. Learn.
Seung Hyun Ham, Jay Hoon Jung
2025 J jnl
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection.
CoRR
Dongsu Song, Daehwa Ko, Jay Hoon Jung
2024 A* conf
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection.
NeurIPS
Dongsu Song, Daehwa Ko, Jay Hoon Jung
2024 J jnl
An End-to-End Learning-Based Control Signal Prediction for Autonomous Robotic Colonoscopy.
IEEE Access
Van Sy Nguyen, Bo-Hyun Hwang, Byungkyu Kim, Jay Hoon Jung
2020 J jnl
A Metric to Compare Pixel-Wise Interpretation Methods for Neural Networks.
IEEE Access
Jay Hoon Jung, YoungMin Kwon
2020 B conf
Boundaries of Single-Class Regions in the Input Space of Piece-Wise Linear Neural Networks.
ICPR
Jay Hoon Jung, YoungMin Kwon
2020 B conf
Color, Edge, and Pixel-wise Explanation of Predictions Based on Interpretable Neural Network Model.
ICPR
Jay Hoon Jung, YoungMin Kwon
2019 — conf
A Metric to Measure Contribution of Nodes in Neural Networks.
SSCI
Jay Hoon Jung, Yousun Shin, YoungMin Kwon
2019 J jnl
Extension of Convolutional Neural Network with General Image Processing Kernels.
CoRR
Jay Hoon Jung, Yousun Shin, YoungMin Kwon
2019 — conf
Quantitative Model Checking for a Resilient Control System.
SSCI
Jay Hoon Jung, Eunhee Kim, YoungMin Kwon
2019 C conf
Robustness of Piece-Wise Linear Neural Network with Feasible Region Approaches.
ICFEM
Jay Hoon Jung, YoungMin Kwon
2018 C conf
Extension of Convolutional Neural Network with General Image Processing Kernels.
TENCON
Jay Hoon Jung, Yousun Shin, YoungMin Kwon