EDAS: Efficient and Differentiable Architecture Search. - Hyeong Gwon Hong; Pyunghwan Ahn; Junmo Kim 002 (CoRR, 2019)

Residual Continual Learning. - Janghyeon Lee 001; Donggyu Joo; Hyeong Gwon Hong; Junmo Kim 002 (AAAI, 2020)

Continual Learning With Extended Kronecker-Factored Approximate Curvature. - Janghyeon Lee 001; Hyeong Gwon Hong; Donggyu Joo; Junmo Kim 002 (CVPR, 2020)

De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning. - Byungju Kim; Hyeong Gwon Hong; Junmo Kim 002 (WACV, 2021)

Differentiable Architecture Search Based on Coordinate Descent. - Pyunghwan Ahn; Hyeong Gwon Hong; Junmo Kim 002 (IEEE Access, 2021)

Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint. - Seung Ho Na; Hyeong Gwon Hong; Junmo Kim 002; Seungwon Shin 001 (ACSAC, 2022)

Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks. - Yooshin Cho; Youngsoo Kim; Hanbyel Cho; Jaesung Ahn; Hyeong Gwon Hong; Junmo Kim 002 (ICIP, 2022)

Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. - Gyojin Han; Jaehyun Choi; Hyeong Gwon Hong; Junmo Kim 002 (CoRR, 2022)

Localization using Multi-Focal Spatial Attention for Masked Face Recognition. - Yooshin Cho; Hanbyel Cho; Hyeong Gwon Hong; Jaesung Ahn; Dongmin Cho; JungWoo Chang; Junmo Kim 002 (FG, 2023)

Disposable Transfer Learning for Selective Source Task Unlearning. - Seunghee Koh; Hyounguk Shon; Janghyeon Lee 001; Hyeong Gwon Hong; Junmo Kim 002 (ICCV, 2023)

Data Poisoning Attack Aiming the Vulnerability of Continual Learning. - Gyojin Han; Jaehyun Choi; Hyeong Gwon Hong; Junmo Kim 002 (ICIP, 2023)

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. - Hyeong Gwon Hong; Yooshin Cho; Hanbyel Cho; Jaesung Ahn; Junmo Kim 002 (AAAI, 2024)

Self-supervised Transformation Learning for Equivariant Representations. - Jaemyung Yu; Jaehyun Choi; Dong-Jae Lee; Hyeong Gwon Hong; Junmo Kim 002 (NeurIPS, 2024)

Self-supervised Transformation Learning for Equivariant Representations. - Jaemyung Yu; Jaehyun Choi; Dong-Jae Lee; Hyeong Gwon Hong; Junmo Kim (CoRR, 2025)

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation. - Yooshin Cho; Hanbyel Cho; Janghyeon Lee; Hyeong Gwon Hong; Jaesung Ahn; Junmo Kim (CoRR, 2025)