Action-Bounding for Reinforcement Learning in Energy Harvesting Communication Systems. - Heasung Kim; Heecheol Yang; Yeongmo Kim; Jungwoo Lee 001 (GLOBECOM, 2018)

A Deep Learning Approach for Automotive Radar Interference Mitigation. - Jiwoo Mun; Heasung Kim; Jungwoo Lee 001 (VTC Fall, 2018)

Rate Maximization with Reinforcement Learning for Time-Varying Energy Harvesting Broadcast Channels. - Heasung Kim; Wonjae Shin; Heecheol Yang; Nayoung Lee; Jungwoo Lee 001 (GLOBECOM, 2019)

RL-Based Transmission Completion Time Minimization with Energy Harvesting for Time-Varying Channels. - Heasung Kim; Wonjae Shin; Heecheol Yang; Jungwoo Lee 001 (ICC Workshops, 2020)

An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels. - Heasung Kim; Taehyun Cho; Jungwoo Lee 001; Wonjae Shin; H. Vincent Poor (ISIT, 2020)

On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach. - Heasung Kim; Jungtai Kim; Wonjae Shin; Heecheol Yang; Nayoung Lee; Seong Jin Kim; Jungwoo Lee 001 (IEEE Access, 2020)

Optimized Shallow Neural Networks for Sum-Rate Maximization in Energy Harvesting Downlink Multiuser NOMA Systems. - Heasung Kim; Taehyun Cho; Jungwoo Lee 001; Wonjae Shin; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2021)

Shallow Reinforcement Learning for Energy Harvesting Communications With Imperfect Channel Knowledge. - Heasung Kim; Jungwoo Lee 001; Wonjae Shin; H. Vincent Poor (IEEE J. Sel. Top. Signal Process., 2021)

Learning Variable-Rate Codes for CSI Feedback. - Heasung Kim; Hyeji Kim; Gustavo de Veciana (GLOBECOM, 2022)

Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach. - Heasung Kim; Sravan Kumar Ankireddy (CoRR, 2023)

Clustered Federated Learning via Gradient-based Partitioning. - Heasung Kim; Hyeji Kim; Gustavo de Veciana (ICML, 2024)

Estimation of Rate- Distortion Function for Computing with Decoder Side Information. - Heasung Kim; Hyeji Kim; Gustavo de Veciana (ISIT, 2024)

Importance Sampling via Score-based Generative Models. - Heasung Kim; Taekyun Lee; Hyeji Kim; Gustavo de Veciana (CoRR, 2025)

Generative Diffusion Model-based Compression of MIMO CSI. - Heasung Kim; Taekyun Lee; Hyeji Kim; Gustavo de Veciana; Mohamed Amine Arfaoui; Asil Koç; Philip Pietraski; Guodong Zhang; John Kaewell (CoRR, 2025)

Residual Diffusion Models for Variable-Rate Joint Source Channel Coding of MIMO CSI. - Sravan Kumar Ankireddy; Heasung Kim; Hyeji Kim (CoRR, 2025)

Fundamental Limits to Exploiting Side Information for CSI Feedback in Wireless Systems. - Heasung Kim; Gustavo de Veciana; Hyeji Kim (IEEE J. Sel. Areas Commun., 2025)