Wireless communications · Machine intelligence · Physical AI

Sehyun Ryu

Sehyun is a systems engineer who designs communication as infrastructure for scalable machine intelligence. His work spans AI-native wireless systems, adaptive communication in dynamic channel environments, and communication infrastructure for machine intelligence and physical AI systems.

He is a Ph.D. candidate in Electrical Engineering at POSTECH, advised by Prof. Hyun Jong Yang at the Advanced Intelligent Systems Lab. He received his B.S. in Electrical Engineering from POSTECH in February 2023. Since January 2025, he has been an external research fellow at Seoul National University and an Industry-Sponsored Ph.D. Fellow at Samsung Electronics. He is scheduled to join Stanford University as a visiting student researcher in October 2026.

CV
Portrait of Sehyun Ryu
sh.ryuatpostech.ac.kr
01

Research Interests

My research focuses on system-level design of wireless communication under practical constraints such as latency, limited observability, and signaling overhead, with selective use of machine learning where it is effective.

01

AI-Native RAN

Learned channel representations and generative channel modeling for AI-native radio access networks.

Related 13 papers
02

Adaptive Wireless Systems

Adaptive optimization of wireless systems under high mobility and dynamically varying channel conditions.

Related 8 papers
03

CSI Representation

Efficient representation, prediction, feedback, and exploitation of CSI for improved wireless communication.

Related 9 papers
04

Machine Intelligence and Physical AI

Intelligence, communication, and computing for scalable physical AI and cloud-edge robotic systems.

Related 11 papers
02

Publications

(=) equal contribution · (*) corresponding author

Preprints

  1. [P1] Sehyun Ryu, Yumin Kim, Minjae Lee, Hyun Jong Yang*, and John M. Cioffi*, “Beam-Response Contrastive Learning for Transmitter-Side MIMO CSI Representation,” arXiv, 2026.
    AI-Native RANCSI Representation
  2. [P2] Sehyun Ryu, Seungmin Choi, Hyun Jong Yang*, and John M. Cioffi*, “End-to-End Mobility-Aware Multi-RIS Optimization via Blockage Detection and Closed-Form Riemannian Updates,” submitted to IEEE Transactions on Wireless Communications, 2026.
    Adaptive Wireless Systems
  3. [P3] Jeonghyun An(=), Sehyun Ryu(=), and Hyun Jong Yang*, “Contamination-Aware Task Allocation for Cell-Free Cloud-Robotic AMR Warehouses,” submitted to IEEE Internet of Things Journal, 2026.
    Adaptive Wireless SystemsCSI Representation
  4. [P4] Minwoo Kim, Hyeonsu Lyu, Sehyun Ryu, Sojeong Park, and Hyun Jong Yang*, “Temporal Channel Estimation for Generalized CSI Feedback,” arXiv, 2026.
    AI-Native RANMachine Intelligence and Physical AI
  5. [P5] Hyeonsu Lyu, Minwoo Kim, Sehyun Ryu, and Hyun Jong Yang*, double-blinded, submitted to IEEE INFOCOM, 2026.
    AI-Native RANAdaptive Wireless SystemsMachine Intelligence and Physical AI
  6. [P6] Hyeonsu Lyu, Jonggyu Jang, Sehyun Ryu, and Hyun Jong Yang*, “Deeper Understanding of Black-box Predictions via Generalized Influence Functions,” arXiv, 2024.
    Machine Intelligence and Physical AI

International Journals

  1. [J7] Minjae Lee, Sehyun Ryu, Hosung Joo, Seungmin Choi, and Hyun Jong Yang, “Importance-Aware CSI Feedback with Adaptive Latent Truncation,” IEEE Transactions on Vehicular Technology, accepted, 2026.
    AI-Native RANCSI Representation
  2. [J6] Hosung Joo(=), Seungmin Choi(=), Sehyun Ryu, and Hyun Jong Yang*, “Compressed-CSI Feedback with Near Real-time Domain Adaptation,” IEEE Transactions on Communications, vol. 74, pp. 11048–11061, 2026.
    Adaptive Wireless SystemsCSI Representation
  3. [J5] Hyun Jong Yang, Howon Lee*, Kyuhong Shim, Jeongho Kwak, Hyunsoo Kim, Donghoon Kim, Sehyun Ryu, Jaehyun Choi, Youbin Kim, Chanjun Moon, Michael Ryoo, and Byonghyo Shim*, “Advancing Multi-Robot Networks via MLLM-Driven Sensing, Communication, and Computation: A Comprehensive Survey,” IEEE Communications Surveys and Tutorials, vol. 28, pp. 5833–5871, 2026.
    AI-Native RANMachine Intelligence and Physical AI
  4. [J4] Sehyun Ryu and Hyun Jong Yang*, “Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems,” IEEE Transactions on Vehicular Technology, vol. 75, no. 7, pp. 15171–15175, 2026.
    AI-Native RANAdaptive Wireless SystemsCSI Representation
  5. [J3] Sehyun Ryu*, “From Isolated to Interconnected: An Evolutionary Psychological Account of Artificial Othering and a Design Paradigm to Preserve Human Social Cohesion,” AI and Ethics, vol. 6, no. 182, 2026.
    Machine Intelligence and Physical AI
  6. [J2] Seungmin Choi(=), Hosung Joo(=), Sehyun Ryu, Tommaso Melodia, and Hyun Jong Yang*, “Performance-Guaranteed CSI Feedback via Model-Free Incremental Residual Compression Framework,” IEEE Wireless Communications Letters, vol. 15, pp. 880–884, 2025.
    AI-Native RANCSI Representation
  7. [J1] Sehyun Ryu(=), Jonggyu Jang(=), and Hyun Jong Yang*, “Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy,” IEEE Access, vol. 12, pp. 103104–103118, 2024.
    Machine Intelligence and Physical AI

International Conference Proceedings

  1. [C3] Sehyun Ryu and Hyun Jong Yang*, “Blockage-Aware Multi-RIS Sensing and Optimization for mmWave Smart Radio Environments,” IEEE GLOBECOM, Macau, China, accepted, 2026.
    Adaptive Wireless Systems
  2. [C2] Jaehyun Choi, Sehyun Ryu, Seungmin Choi, and Hyun Jong Yang*, “RT-AUGGAN: Robust Fingerprint Positioning under Environmental Variations via Ray Tracing-Assisted GAN Augmentation,” IEEE ICCE-Asia, Busan, Republic of Korea, pp. 1–6, 2025.
    AI-Native RANAdaptive Wireless SystemsCSI Representation
  3. [C1] Sehyun Ryu, Hosung Joo, Jonggyu Jang, and Hyun Jong Yang*, “Instance-Wise Laplace Mechanism via Deep Reinforcement Learning,” AAAI Conference on Artificial Intelligence (Student Abstract and Poster Program), Vancouver, Canada, 38(21), pp. 23640–23641, 2024. Oral presentation
    Machine Intelligence and Physical AI

Korean Domestic Papers

  1. [D6] Sehyun Ryu, Jaehyun Choi, and Hyun Jong Yang*, “Communication-Aware Multi-Agent Path Finding for Wi-Fi 6 Warehouse Robot Coordination,” Summer Conference of KICS, Jeju Island, Republic of Korea, 2026.
    AI-Native RANAdaptive Wireless SystemsMachine Intelligence and Physical AI
  2. [D5] Hyeonsu Lyu, Minwoo Kim, Sehyun Ryu, and Hyun Jong Yang*, “Towards Building a Ray-Tracing-Compatible Digital Twin Scene for Wireless-Aware Physical AI Systems,” JCCI, Yeosu, Republic of Korea, 2026.
    AI-Native RANMachine Intelligence and Physical AI
  3. [D4] Sehyun Ryu and Hyun Jong Yang*, “A Survey of the Application of Ray-Tracing-Based Channel Modeling for Digital Twin Environments,” Winter Conference of KICS, Pyeongchang, Republic of Korea, 2026.
    AI-Native RANMachine Intelligence and Physical AI
  4. [D3] Sehyun Ryu and Hyun Jong Yang*, “Trends in Utilizing Generative Models for Wireless Communications,” KICS Information and Communications Magazine, 2024.
    AI-Native RANCSI Representation
  5. [D2] Sehyun Ryu and Hyun Jong Yang*, “Research Trends of Deep Learning-Based Algorithms for Reduced CSI Feedback Overhead,” JCCI, Busan, Republic of Korea, 2024.
    AI-Native RANCSI Representation
  6. [D1] Sehyun Ryu and Hyun Jong Yang*, “Additive Machine Unlearning Algorithm Using Orthogonality,” Summer Conference of KICS, Jeju Island, Republic of Korea, 2023.
    Machine Intelligence and Physical AI

Patents

  1. “Data Augmentation Method for Indoor Positioning based on Wireless Channel State Information and Computer Device Thereof,” Hyun Jong Yang, Jaehyun Choi, Seungmin Choi, and Sehyun Ryu, KR 10-2026-0012777. filed
  2. “Method and Apparatus for Channel Prediction-Based Reference Signal Allocation in Massive MIMO Wireless Communication System,” Hyun Jong Yang and Sehyun Ryu, KR 10-2025-0214422. filed
  3. “Method for Channel State Information (CSI) Feedback Using Multi-Stage Residual Compression and User Equipment Performing the Same,” Hyun Jong Yang, Seungmin Choi, Sehyun Ryu, and Hosung Joo, KR 10-2025-0202288. filed
  4. “Apparatus and Method for Providing Statistical Data,” Hyun Jong Yang, Sehyun Ryu, and Jonggyu Jang, KR 10-2998547. granted
  5. “Electronic Device for Deriving Influence Function,” Hyun Jong Yang, Hyunsu Lyu, Jonggyu Jang, and Sehyun Ryu, KR 10-2024-0045157. filed
03

Experience

Starting Oct. 2026

Visiting Student Researcher

Stanford UniversityStanford, CA, USA

Department of Electrical EngineeringMachine Learning and Communications LaboratoryHost: Prof. John M. Cioffi

Nov. 2025 — Present

Industry-sponsored Ph.D. Researcher

Samsung ElectronicsHwaseong, Republic of Korea

DS Division, System LSI Business, Modem Development TeamPost-graduation Employment Program

Jan. 2025 — Present

External Research Fellow

Seoul National UniversitySeoul, Republic of Korea

Institute of New Media and CommunicationsAdvanced Intelligent Systems Laboratory

Education

Feb. 2023 — Present

Ph.D. Candidate in Electrical Engineering

POSTECHPohang, Republic of Korea

Advanced Intelligent Systems LaboratoryAdvisor: Prof. Hyun Jong Yang

Feb. 2018 — Feb. 2023

B.S. in Electrical Engineering

POSTECHPohang, Republic of Korea

Magna Cum Laude

04

Academic Service

Journal Reviewer

  • IEEE Transactions on Wireless Communications.
  • IEEE Transactions on Communications.
  • IEEE Transactions on Vehicular Technology.
  • IEEE Transactions on Information Forensics & Security.
  • IEEE Wireless Communications Letters.
  • The Journal of Supercomputing.
  • The Journal of Korean Institute of Communications and Information Sciences.
  • Frontiers in Psychology.

Conference

Conference Reviewer

  • IEEE Consumer Communications & Networking Conference (CCNC)2024, 2025

Technical Program Committee

  • IEEE Consumer Communications & Networking Conference (CCNC)2027
  • KICS International Conference on ICT Convergence (ICTC)2025

Conference Assistant

  • IEEE/IEIE International Conference on Consumer Electronics Asia (ICCE-Asia)2025

Teaching Assistant

  • EECE490W: Introduction to Reinforcement Learning, POSTECHSpring 2023
  • EECE695V: Introduction to AI for Graduate School Students, POSTECHFall 2023

Honors & Awards

Research Projects