Fault detection and identification method using observer-based residuals. - Haedong Jeong; Bumsoo Park; Seungtae Park; Hyungcheol Min; Seungchul Lee (Reliab. Eng. Syst. Saf., 2019)

An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. - Giyoung Jeon; Haedong Jeong; Jaesik Choi (AAAI, 2020)

Automatic Correction of Internal Units in Generative Neural Networks. - Ali Tousi; Haedong Jeong; Jiyeon Han; Hwanil Choi; Jaesik Choi (CVPR, 2021)

An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. - Haedong Jeong; Jiyeon Han; Jaesik Choi (AAAI, 2022)

Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network. - Giyoung Jeon; Haedong Jeong; Jaesik Choi (NeurIPS, 2022)

On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network. - Seongjin Park; Haedong Jeong; Giyoung Jeon; Jaesik Choi (CoRR, 2022)

Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling. - Giyoung Jeon; Haedong Jeong; Jaesik Choi (ICCV, 2023)

Zero-Shot Document Understanding using Pseudo Table of Contents-Guided Retrieval-Augmented Generation. - Hyeon Seong Jeong; Sangwoo Jo; Byeong Hyun Yoon; Yoonseok Heo; Haedong Jeong; Taehoon Kim (CoRR, 2025)