Taegun An

11 papers A* 1B 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DAG-NAS : An explainable neural architecture search framework for reinforcement learning. Neural Networks Taegun An, Changhee Joo
2026	A*	`conf`	HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression. AAAI Junhao Cai, Taegun An, Chengjun Jin, Sung Il Choi, Juhyun Park, Changhee Joo
2025	J	`jnl`	HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression. CoRR Junhao Cai, Taegun An, Chengjun Jin, Sung Il Choi, Juhyun Park, Changhee Joo
2024	—	`conf`	CycleGANAS: Differentiable Neural Architecture Search for CycleGAN. CVPR Workshops Taegun An, Changhee Joo
2024	—	`conf`	Toward Scalable and Efficient Visual Data Transmission in 6G Networks. ICTC Junhao Cai, Taegun An, Changhee Joo
2024	J	`jnl`	Toward Scalable and Efficient Visual Data Transmission in 6G Networks. CoRR Junhao Cai, Taegun An, Changhee Joo
2023	J	`jnl`	CycleGANAS: Differentiable Neural Architecture Search for CycleGAN. CoRR Taegun An, Changhee Joo
2023	J	`jnl`	Dynamic Downlink Interference Management in LEO Satellite Networks Without Direct Communications. IEEE Access Jihyeon Yun, Taegun An, Haesung Jo, Bon-Jun Ku, Dae-Sub Oh, Changhee Joo
2022	J	`jnl`	Downlink spectrum sharing of heterogeneous communication systems in LEO satellite networks. J. Commun. Networks Jihyeon Yun, Taegun An, Haesung Jo, Bon-Jun Ku, Dae-Sub Oh, Changhee Joo
2022	B	`conf`	Prediction of COVID-19 infection spread through agent-based simulation. MobiHoc Taegun An, Hyogon Kim, Changhee Joo
2021	—	`conf`	Sequencing Universal Quantum Gates for Arbitrary 2-Qubit Computations. ICUFN Taegun An, Hoon Ryu, Changhee Joo