Seyoung Ahn

According to our database, Seyoung Ahn authored at least 14 papers between 2020 and 2023.

Collaborative distances:

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

2023

Graph Learning-Based Blockchain Phishing Account Detection with a Heterogeneous Transaction Graph.

Jaehyeon Kim, Sejong Lee, Yushin Kim, Seyoung Ahn, Sunghyun Cho

Sensors, 2023

Random Access Protocol for Massive Internet of Things Connectivity in Space-Air-Ground-Integrated Networks.

Joohan Park, Jiseung Youn, Joohyun Oh, Jeong-Ju Im, Seyoung Ahn, Soohyeong Kim, Sunghyun Cho

IEEE Internet Things J., 2023

On the Spatial-Wideband Effects in Millimeter-Wave Cell-Free Massive MIMO.

Seyoung Ahn, Soohyeong Kim, Yongseok Kwon, Joohan Park, Jiseung Youn, Sunghyun Cho

CoRR, 2023

MARL-based Random Access Scheme for Delay-constrained umMTC in 6G.

Jiseung Youn, Joohan Park, Soohyeong Kim, Seyoung Ahn, Abdul Rahim Ansari, Sunghyun Cho

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Group-based Random Access with Age of Information Minimization in 6G umMTC.

Jiseung Youn, Joohan Park, Seyoung Ahn, Soohyeong Kim, Sunghyun Cho

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

A Network Selection Scheme to Meet Heterogeneous QoS for Massive MTC in SAGIN.

Joohan Park, Jiseung Youn, Seyoung Ahn, Soohyeong Kim, Sunghyun Cho

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Revisiting the Coverage Boundary of Multi-CPU Cell-Free Massive MIMO: CPU Cooperation Aspect.

Soohyeong Kim, Seyoung Ahn, Joohan Park, Jiseung Youn, Yongseok Kwon, Sunghyun Cho

Proceedings of the IEEE International Conference on Communications, 2023

2022

CeRA-eSP: Code-Expanded Random Access to Enhance Success Probability of Massive MTC.

Jiseung Youn, Joohan Park, Joohyun Oh, Soohyeong Kim, Seyoung Ahn, Sunghyun Cho, Sangwoo Park, Cheolwoo You

Sensors, 2022

Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data.

Seyoung Ahn, Soohyeong Kim, Yongseok Kwon, Joohan Park, Jiseung Youn, Sunghyun Cho

CoRR, 2022

Automatic Hepatocellular Carcinoma Diagnosis using Graph Convolutional Network.

Yushin Kim, Jaehyeon Kim, Sejong Lee, Seyoung Ahn, Jonghun Kim, Sooyoung Park, Sunghyun Cho

Proceedings of the International Conference on Electronics, Information, and Communication, 2022

2021

Low-Complexity Data Collection Scheme for UAV Sink Nodes in Cellular IoT Networks.

Joohan Park, Soohyeong Kim, Jiseung Youn, Seyoung Ahn, Sunghyun Cho

IEEE Trans. Veh. Technol., 2021

Digestive neural networks: A novel defense strategy against inference attacks in federated learning.

Hongkyu Lee, Jeehyeong Kim, Seyoung Ahn, Rasheed Hussain, Sunghyun Cho, Junggab Son

Comput. Secur., 2021

Explaining Deep Learning-Based Traffic Classification Using a Genetic Algorithm.

Seyoung Ahn, Jeehyeong Kim, Soo Young Park, Sunghyun Cho

IEEE Access, 2021

2020

Iterative Sensor Clustering and Mobile Sink Trajectory Optimization for Wireless Sensor Network with Nonuniform Density.

Joohan Park, Soohyeong Kim, Jiseung Youn, Seyoung Ahn, Sunghyun Cho

Wirel. Commun. Mob. Comput., 2020