Seokbin Son
lydiasb@korea.ac.kr, 0000-0002-3692-0752
Seokbin Son
lydiasb@korea.ac.kr, 0000-0002-3692-0752
About🧑🎓
I am Seokbin Son, a Ph.D. student at the Electrical and Computer Engineering Department of Korea University, Seoul, Republic of Korea. I received my B.S. degree in Information Security from Seoul Women’s University, Seoul, Republic of Korea. My research interests include neural architecture search, distributed learning, computer vision and network systems, large-scale artificial intelligence models, and information security, with a particular focus on developing deep learning algorithms for mobility, network, and medical applications.
Research Interest 🏃
Neural Architecture Search:
Neural Architecture Search, Quantum Neural Architecture Search
Distributed Learning:
Federated Learning, Quantum Federated Learning
Large-Scale AI Model:
Large Language Model, Multi-modal Large Language Model
Computer Vision & Network System:
Image and Video Processing, Connected Mobility, Stochastic Optimization
Information Security:
Course-of-Action, Deepfake Detection
Awards and Honors 🏆
IEEE International Conference on Distributed Computing Systems (ICDCS), Best Runner Up Poster Paper Award (07/2025)
IEEE Seoul Section Student Paper Contest, Bronze Paper Award (12/2023)
Selected Publications 📖
[ECCV'revew] S. B. Son, S. Oh, J. Kim, S. Jung, S. Park, "Dobule Blind", Proc. of the European Conference on Computer Vision (ECCV), Malmö, Sweden, September 2026.
[CIM'review] S. B. Son, J. Kim, and S. Park, "Dobule Blind," IEEE Computational Intelligence Magazine. <IF: 11.2>
[TMC'review] S. B. Son, H. Ahn, S. Y. C. Chen, S. Park, and J. Kim, "Efficient Quantum Neural Architecture Search with Filtered Supernet for Mobile Medical Scenarios," IEEE Transactions on Mobile Computing. <IF: 9.2>
[CM'review] S. B. Son, J. Kim, M. Bennis, and S. Park, "Federated Quantum Intelligence: State-of-the-Arts and the Road Ahead," IEEE Communications Magazine. <IF: 8.2>
[CIKM’25.11] S. B. Son, S. Y.-C. Chen, J. Kim, and S. Park, "Filtered One-Shot Training for Quantum Architecture Search," Proc. of the ACM International Conference on Information and Knowledge Management (CIKM), Seoul, Republic of Korea, November 2025.
[QCE’25.09] S. B. Son, and S. Park, "Q-RLONAS: Towards Efficient Quantum Neural Architecture Search," Proc. of the IEEE Quantum Week, Albuquerque, New Mexico, USA, August-September 2025.
[ICDCS’25.07] S. B. Son, and S. Park, "Quantum Federated Aggregation using Joint Fidelity-and-Entropy Computation," Proc. of the International Conference on Distributed Computing Systems (ICDCS) Poster, Glasgow, Scotland, UK, July 2025.
[TVT’25.06] S. B. Son, and S. Park, "Hierarchical Scheduling for Oil Spill SAR Image Detection in Space-Air-Ground Integrated Networks," IEEE Transactions on Vehicular Technology, vol. 74, no. 6, pp. 9689-9703, June 2025. <IF: 7.1>
[IOTJ’25.03] S. B. Son, and S. Park, "Toward Uniform Quantum Federated Aggregation: Heterogeneity Exclusion using Entropy and Fidelity," IEEE Internet of Things Journal, vol. 12, no. 5, pp. 5732-5741, March 2025. <IF: 8.9>
[TIIS’24.08] S. B. Son, S. H. Lee, and Y. K. Lee, "A Comprehensive Study on Key Components of Grayscale-based Deepfake Detection," KSII Transactions on Internet and Information Systems, vol. 18, no. 8, pp. 2230-2252, August 2024. <IF: 0.9>
[Access’23.05] S. B. Son, S. Park, and J. Kim, "Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection," IEEE Access, vol. 11, pp. 46892-46902, May 2023. <IF: 3.557>
[Drones’23.04] S. B. Son, and D. H. Kim, "Searching for Scalable Networks in Unmanned Aerial Vehicle Infrastructure Using Spatio-Attack Course-of-Action," Drones, vol. 7, no. 4, p. 249, April 2023. <IF: 4.8>