Personalized Federated Learning over non-IID Data for Indoor Localization. - Peng Wu 019; Tales Imbiriba; Junha Park; Sunwoo Kim 001; Pau Closas (SPAWC, 2021)

Adversarial Robustness of Flow-based Image Super-Resolution. - Junha Park; Jun-Ho Choi; Jong-Seok Lee (MMSP, 2022)

Federated Learning for Indoor Localization via Model Reliability With Dropout. - Junha Park; Jiseon Moon; Taekyoon Kim; Peng Wu 019; Tales Imbiriba; Pau Closas; Sunwoo Kim 001 (IEEE Commun. Lett., 2022)

Effective and efficient negative sampling in metric learning based recommendation. - Junha Park; Yeon-Chang Lee; Sang-Wook Kim (Inf. Sci., 2022)

Leveraging Feature Interaction for Modeling User-Item Interaction in Recommender Systems. - Soobeom Jang; Soomin Lee; Junha Park; Jong-Seok Lee (SMC, 2023)

Enhancing Graph Structures for Node Classification: An Alternative View on Adversarial Attacks. - Soobeom Jang; Junha Park; Jong-Seok Lee (SMC, 2023)

Curved Representation Space of Vision Transformers. - Juyeop Kim; Junha Park; Songkuk Kim; Jong-Seok Lee (AAAI, 2024)

CROPS: Model-Agnostic Training-Free Framework for Safe Image Synthesis with Latent Diffusion Models. - Junha Park; Ian Ryu; Jaehui Hwang; Hyungkeun Park; Jiyoon Kim; Jong-Seok Lee (CoRR, 2025)