Beamwidth of Base Stations for Maximizing Coverage of Aerial Users. - Honggu Kang; Jingon Joung; Joonhyuk Kang (ICUFN, 2019)

Secrecy-Aware Altitude Optimization for Quasi-Static UAV Base Station Without Eavesdropper Location Information. - Honggu Kang; Jingon Joung; Jinhyun Ahn; Joonhyuk Kang (IEEE Commun. Lett., 2019)

Power-Efficient Formation of UAV Swarm: Just Like Flying Birds? - Honggu Kang; Jingon Joung; Joonhyuk Kang (GLOBECOM, 2020)

Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems. - Honggu Kang; Jingon Joung; Jinyoung Kim; Joonhyuk Kang; Yong Soo Cho 001 (IEEE Access, 2020)

CoSMoS: Cooperative Sky-Ground Mobile Edge Computing System. - Sihyung Joo; Honggu Kang; Joonhyuk Kang (IEEE Trans. Veh. Technol., 2021)

Joint Optimization of E2E Latency, FPS, Energy, and Confidentiality for Surveillance UAV. - Heechan Kim; Honggu Kang; Joonhyuk Kang (MILCOM, 2023)

NeFL: Nested Federated Learning for Heterogeneous Clients. - Honggu Kang; Seohyeon Cha; Jinwoo Shin; Jongmyeong Lee; Joonhyuk Kang (CoRR, 2023)

On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction. - Seohyeon Cha; Honggu Kang; Joonhyuk Kang (CoRR, 2023)

FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients. - Jiyun Shin; Jinhyun Ahn; Honggu Kang; Joonhyuk Kang (CoRR, 2023)

Visual Field Prediction for Fundus Image with Generative AI. - Honggu Kang; Seonghyeon Ko; Ju-Chan Kim; Duc-Tai Le; Junghyun Bum; Jong Chul Han; Hyunseung Choo (IMCOM, 2024)

Movement Attentive Graph Embedding for Improving Next Point of Access Prediction. - Honggu Kang; Taesoo Kim; Huigyu Yang; Hyunseung Choo (IMCOM, 2024)

GeFL: Model-Agnostic Federated Learning with Generative Models. - Honggu Kang; Seohyeon Cha; Joonhyuk Kang (CoRR, 2024)

NeFL: Nested Model Scaling for Federated Learning With System Heterogeneous Clients. - Honggu Kang; Seohyeon Cha; Jinwoo Shin; Jongmyeong Lee; Joonhyuk Kang (IEEE Trans. Mob. Comput., 2025)