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Yubin Choi
I'm an M.S. student in Electrical and Computer Engineering at
Seoul National University (SNU), South Korea,
advised by Prof. Saewoong Bahk and
Prof. Jeongyeup Paek at Chung-Ang University (CAU).
I received my B.S. degree in Electrical and Electronic Engineering from
Yonsei University, South Korea.
I am currently seeking opportunities to pursue a Ph.D. program.
At Yonsei, I built MEC-driven systems that link computer vision, robotics, and communication to control smart-factory robots.
At SNU, my research focuses on real-world communication systems, including drone-based communication networks and power-line communication,
as well as neural network–based CSI feedback systems for beyond-5G MIMO beamforming.
Email /
CV /
Github
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Research Interest
Building upon my previous work in communication systems, I aim to explore cyber-physical systems (CPS) and multimodal integrated sensing and communication (ISAC) for practical applications
such as cooperative autonomous driving and robotics.
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Publications
My research focuses on real-world implementation–based communication systems and AI for communication and networking.
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D2-PLC: Holistic Design and Implementation of High-Datarate Duplex DC Power Line Communication Network
Dongrak Choi,
Yubin Choi,
Yonghoon Jeong,
Jeongyeup Paek,
Saewoong Bahk
IEEE Internet of Things Journal, 2025
High-datarate duplex DC power line communication system with a custom PHY design and MAC protocol to enable simultaneous power and data transfer over a single pair of wires.
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Demo: A Programmable High-Throughput Duplex DC-PLC Testbed for Power and Data Integration
Dongrak Choi,
Yonghoon Jeong,
Yubin Choi,
Saewoong Bahk
IEEE International Conference on Network Protocols (ICNP), 2025
Demo of programmable DC-PLC prototype that enables simultaneous power transfer and bidirectional communication over a single DC line.
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Intelligent Channel State Information Feedback Using Variable-Rate Autoencoder
Yubin Choi,
Yunseo Nam,
Saewoong Bahk
International Conference on ICT Convergence (ICTC), 2025   (Oral Presentation)
Variable-rate feedback quantization neural network for channel reconstruction in 5G NR with low parameter overhead at the user side.
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Preprints
Preprints and manuscripts under review.
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UniQ: A Universal-Rate Quantization Network for Beyond-5G Autoencoder-based CSI Feedback
Yubin Choi,
Yunseo Nam,
Dongrak Choi,
Jeongyeup Paek,
Saewoong Bahk
submitted to IEEE International Conference on Communications (ICC), 2026
A generally applicable multi-rate quantization network for CSI feedback in beyond-5G autoencoder-based CSI feedback systems for MU-MIMO.
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Escaping from the Shadow: Bottleneck-Aware UAV Placement for High-Throughput Relaying
Dongrak Choi,
Yongjae Yoo,
Yubin Choi,
Jeongyeup Paek,
Saewoong Bahk
submitted to IEEE Vehicular Technology Conference (VTC), 2026 spring
A UAV placement design enabling high-throughput relaying between ground users and cellular base stations in coverage shadow zones, validated through real-world experiments.
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