Taegun An

According to our database, Taegun An authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

DAG-NAS : An explainable neural architecture search framework for reinforcement learning.

Taegun An, Changhee Joo

Neural Networks, 2026

HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression.

Junhao Cai, Taegun An, Chengjun Jin, Sung Il Choi, Juhyun Park, Changhee Joo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024

Toward Scalable and Efficient Visual Data Transmission in 6G Networks.

Junhao Cai, Taegun An, Changhee Joo

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

CycleGANAS: Differentiable Neural Architecture Search for CycleGAN.

Taegun An, Changhee Joo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Dynamic Downlink Interference Management in LEO Satellite Networks Without Direct Communications.

Jihyeon Yun, Taegun An, Haesung Jo, Bon-Jun Ku, Dae-Sub Oh, Changhee Joo

IEEE Access, 2023

2022

Downlink spectrum sharing of heterogeneous communication systems in LEO satellite networks.

Jihyeon Yun, Taegun An, Haesung Jo, Bon-Jun Ku, Dae-Sub Oh, Changhee Joo

J. Commun. Networks, December, 2022

Prediction of COVID-19 infection spread through agent-based simulation.

Taegun An, Hyogon Kim, Changhee Joo

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

2021

Sequencing Universal Quantum Gates for Arbitrary 2-Qubit Computations.

Taegun An, Hoon Ryu, Changhee Joo

Proceedings of the Twelfth International Conference on Ubiquitous and Future Networks, 2021