Sehyun Ryu

Research Interests

I am interested in research about wireless communications and machine learning. 

Specifically, my research interests include:

• Channel Prediction & Estimation in Modern Wireless Communication Systems

•  AI-based Optimization of CSI Feedback Overhead

• Privacy-Preserving Deep Learning: Differential Privacy and Federated Learning

I believe advancements in these areas can liberate humanity from labor and bridge information inequalities.

I am in a graduate school with a dream to conduct research that contributes to a better world :)

Papers

Preprints

[P1] Hyeonsu Lyu, Jonggyu Jang, Sehyun Ryu, and Hyun Jong Yang*, "Deeper Understanding of Black-box Predictions via Generalized Influence Functions," arXiv, 2024.

[P2] Sehyun Ryu and Hyun Jong Yang*, "Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems," arXiv, 2025.

[P3] Seungmin Choi‡, Hosung Joo‡, Sehyun Ryu, Tommaso Melodia, and Hyun Jong Yang*, "Performance-Guaranteed CSI Feedback via Model-Free Incremental Residual Compression Framework," submitted to IEEE Wireless Communications Letters.

International Journals

[J1] Sehyun Ryu‡, Jonggyu Jang‡, and Hyun Jong Yang*, "Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy," in IEEE Access, vol. 12, pp. 103104-103118, 2024, doi: 10.1109/ACCESS.2024.3433440.

International Conference Proceedings

[C1] Sehyun Ryu, Hosung Joo, Jonggyu Jang, and Hyun Jong Yang*, "Instance-Wise Laplace Mechanism via Deep Reinforcement Learning," AAAI 2024 (Student Abstract and Poster Program) [Oral Presentation].

Korean Domestic Papers

[D3] Sehyun Ryu and Hyun Jong Yang*, "Trends in Utilizing Generative Models for Wireless Communications," KICS Information and Communications Magazine, 2024.

[D2] Sehyun Ryu and Hyun Jong Yang*, "Research Trends of Deep Learning-Based Algorithms for Reduced CSI Feedback Overhead," Joint Conference on Communications and Information (JCCI), 2024.

[D1] Sehyun Ryu and Hyun Jong Yang*, “Additive Machine Unlearning Algorithm Using Orthogonality,” Summer Conference of KICS, 2023.

Patents

1.  "Apparatus and Method for Providing Statistical Data," Hyun Jong Yang, Sehyun Ryu, and Jonggyu Jang, KR 10-2024-0143784 (filed).

2.  "Method for Modifying an Artificial Intelligence Model Using a Generalized Influence Function," Hyun Jong Yang, Hyunsu Lyu, Jonggyu Jang, and Sehyun Ryu, KR 10-2023-0189978 (filed).

Education

Academic Services

• Journal Reviewer

  • IEEE Transactions on Information Forensics & Security.

  • IEEE Wireless Communications Letters.

  • The Journal of Korean Institute of Communications and Information Sciences.

• Conference Reviewer

  • IEEE Consumer Communications & Networking Conference (2024).

• Technical Program Committee

  • KICS International Conference on ICT Convergence (2025).

Honors and Awards

• Grand Prize, New Industry Sector Ideas and Patent Rights Competition, Korea Invention Promotion Association, 2024.

• Excellence Award, Undergraduate Group Research Program (UGRP), POSTECH, 2019.

• Jigok Scholarship: Full funding for tuition, POSTECH, Mar. 2018 - Feb. 2023.

Research Projects

• Research Assistant, “Development of a 5G-A vRAN Research Platform,” IITP, 12.8B KRW, 2024.06 - 2028.12.

• Research Assistant, “AI-Based CBF Overhead Reduction," Samsung Electronics (S.LSI), 300M KRW, 2024.02 - 2024.08.

• Research Assistant, “Data processing methods and simulated signal generation for artificial intelligence radar data analysis,” ADD, 90M KRW, 2023.10 - 2024.12.