Network Utility Maximization With Asymmetric User Satisfaction. - Hyesung Kim; Seung-Woo Ko 001; Seong-Lyun Kim (IEEE Commun. Lett., 2015)

Cognitive Random Access for Internet-of-Things Networks. - Hyesung Kim; Seung-Woo Ko; Seong-Lyun Kim (CoRR, 2016)

Ultra-dense edge caching under spatio-temporal demand and network dynamics. - Hyesung Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim; Mérouane Debbah (ICC, 2017)

Poster: Millimeter wave V2V communications with inaccurate location information. - Joonsoo Kim; Hyesung Kim; Seong-Lyun Kim (VNC, 2017)

Cognitive Random Access for Internet-of-Things Networks. - Hyesung Kim; Seung-Woo Ko 001; Seong-Lyun Kim (VTC Spring, 2017)

Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach. - Hyesung Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim (SPAWC, 2018)

Poster: Location-based Directional CSMA/CA for Millimeter Wave V2V Communications. - Seungeun Oh; Hyesung Kim; Seong-Lyun Kim (VNC, 2018)

Exploiting Caching for Millimeter-Wave TCP Networks: Gain Analysis and Practical Design. - Minho Kim; Seung-Woo Ko 001; Hyesung Kim; Seunghwan Kim; Seong-Lyun Kim (IEEE Access, 2018)

On-Device Federated Learning via Blockchain and its Latency Analysis. - Hyesung Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim (CoRR, 2018)

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data. - Eunjeong Jeong; Seungeun Oh; Hyesung Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim (CoRR, 2018)

Multi-hop Federated Private Data Augmentation with Sample Compression. - Eunjeong Jeong; Seungeun Oh; Jihong Park; Hyesung Kim; Mehdi Bennis; Seong-Lyun Kim (CoRR, 2019)

Federated Reinforcement Distillation with Proxy Experience Memory. - Han Cha; Jihong Park; Hyesung Kim; Seong-Lyun Kim; Mehdi Bennis (CoRR, 2019)

Distilling On-Device Intelligence at the Network Edge. - Jihong Park; Shiqiang Wang; Anis Elgabli; Seungeun Oh; Eunjeong Jeong; Han Cha; Hyesung Kim; Seong-Lyun Kim; Mehdi Bennis (CoRR, 2019)

Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning. - Han Cha; Jihong Park; Hyesung Kim; Mehdi Bennis; Seong-Lyun Kim (IEEE Intell. Syst., 2020)

Blockchained On-Device Federated Learning. - Hyesung Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim (IEEE Commun. Lett., 2020)

Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup. - Seungeun Oh; Jihong Park; Eunjeong Jeong; Hyesung Kim; Mehdi Bennis; Seong-Lyun Kim (IEEE Commun. Lett., 2020)

Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks. - Hyesung Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim; Mérouane Debbah (IEEE Trans. Veh. Technol., 2020)

Mean-Field Game-Theoretic Edge Caching. - Hyesung Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim; Mérouane Debbah (CoRR, 2021)

Hiding in the Crowd: Federated Data Augmentation for On-Device Learning. - Eunjeong Jeong; Seungeun Oh; Jihong Park; Hyesung Kim; Mehdi Bennis; Seong-Lyun Kim (IEEE Intell. Syst., 2021)

In Vivo Magnetic Resonance Thermometry for Brain and Body Temperature Variations in Canines under General Anesthesia. - Keonil Kim; Jisoo Ahn; Kwangyong Yoon; Minjung Ko; Jiyoung Ahn; Hyesung Kim; Jihyeon Park; Chulhyun Lee; Dongwoo Chang; Sukhoon Oh (Sensors, 2022)

Mobile Edge Computing Enabler Layer: Edge-native APPLICATION Architecture For Mobile Networks. - Hyesung Kim; Walter Featherstone; Sangsoo Jeong; Jicheol Lee; Basavaraj Jayawant Pattan; Suresh Chitturi; Daegyun Kim; Jin-Kyu Han (IEEE Commun. Stand. Mag., 2023)