| 2025 | ACSSC | Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI. | Sravan Kumar Ankireddy, Heasung Kim, Hyeji Kim |
| 2024 | ICML | Clustered Federated Learning via Gradient-based Partitioning. | Heasung Kim, Hyeji Kim, Gustavo de Veciana |
| 2024 | ISIT | Estimation of Rate- Distortion Function for Computing with Decoder Side Information. | Heasung Kim, Hyeji Kim, Gustavo de Veciana |
| 2022 | GLOBECOM | Learning Variable-Rate Codes for CSI Feedback. | Heasung Kim, Hyeji Kim, Gustavo de Veciana |
| 2020 | ISIT | An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels. | Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, H. Vincent Poor |
| 2019 | GLOBECOM | Rate Maximization with Reinforcement Learning for Time-Varying Energy Harvesting Broadcast Channels. | Heasung Kim, Wonjae Shin, Heecheol Yang, Nayoung Lee, Jungwoo Lee |
| 2018 | GLOBECOM | Action-Bounding for Reinforcement Learning in Energy Harvesting Communication Systems. | Heasung Kim, Heecheol Yang, Yeongmo Kim, Jungwoo Lee |
| 2018 | VTC | A Deep Learning Approach for Automotive Radar Interference Mitigation. | Jiwoo Mun, Heasung Kim, Jungwoo Lee |