Heasung Kim

Orcid: 0000-0003-3860-8962

According to our database1, Heasung Kim authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Estimation of Rate- Distortion Function for Computing with Decoder Side Information.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Clustered Federated Learning via Gradient-based Partitioning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach.
CoRR, 2023

2022
Learning Variable-Rate Codes for CSI Feedback.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Shallow Reinforcement Learning for Energy Harvesting Communications With Imperfect Channel Knowledge.
IEEE J. Sel. Top. Signal Process., 2021

Optimized Shallow Neural Networks for Sum-Rate Maximization in Energy Harvesting Downlink Multiuser NOMA Systems.
IEEE J. Sel. Areas Commun., 2021

2020
On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach.
IEEE Access, 2020

An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2020

RL-Based Transmission Completion Time Minimization with Energy Harvesting for Time-Varying Channels.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019
Rate Maximization with Reinforcement Learning for Time-Varying Energy Harvesting Broadcast Channels.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
A Deep Learning Approach for Automotive Radar Interference Mitigation.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Action-Bounding for Reinforcement Learning in Energy Harvesting Communication Systems.
Proceedings of the IEEE Global Communications Conference, 2018


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