Haedong Jeong

14 papers A* 7Journal 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
"I Can Be Anything!" Bridging Today and the Future through Generative AI-driven Self-represented Career Imagination for Children.
CHI
Sunok Lee, Haedong Jeong
2025 J jnl
CREward: A Type-Specific Creativity Reward Model.
CoRR
Jiyeon Han, Ali Mahdavi-Amiri, Hao Zhang, Haedong Jeong
2025 A* conf
On the Relationship Between Populated Regions and Adversarial Robustness in Deep Neural Networks.
ICDM
Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol, Jaesik Choi
2025 J jnl
Zero-Shot Document Understanding using Pseudo Table of Contents-Guided Retrieval-Augmented Generation.
CoRR
Hyeon Seong Jeong, Sangwoo Jo, Byeong Hyun Yoon, Yoonseok Heo, Haedong Jeong, Taehoon Kim
2023 A* conf
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling.
ICCV
Giyoung Jeon, Haedong Jeong, Jaesik Choi
2022 A* conf
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks.
AAAI
Haedong Jeong, Jiyeon Han, Jaesik Choi
2022 A* conf
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network.
NeurIPS
Giyoung Jeon, Haedong Jeong, Jaesik Choi
2022 J jnl
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network.
CoRR
Seongjin Park, Haedong Jeong, Giyoung Jeon, Jaesik Choi
2021 J jnl
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks.
CoRR
Haedong Jeong, Jiyeon Han, Jaesik Choi
2021 A* conf
Automatic Correction of Internal Units in Generative Neural Networks.
CVPR
Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi
2021 J jnl
Automatic Correction of Internal Units in Generative Neural Networks.
CoRR
Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi
2020 A* conf
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks.
AAAI
Giyoung Jeon, Haedong Jeong, Jaesik Choi
2019 J jnl
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks.
CoRR
Giyoung Jeon, Haedong Jeong, Jaesik Choi
2019 J jnl
Fault detection and identification method using observer-based residuals.
Reliab. Eng. Syst. Saf.
Haedong Jeong, Bumsoo Park, Seungtae Park, Hyungcheol Min, Seungchul Lee