[📝CV Link]
[📝CV Link]
Ph.D. Student @ Pohang University of Science and Technology (POSTECH)
✉️Email: sojeong@postech.ac.kr   🔗Links: Linkedin / Google Scholar / Github
I am a Ph.D student at AiSLab, advised by Prof. Hyun Jong Yang. I am broadly interested in generative AI for the physical layer of wireless communications.
I received dual B.S. degrees in Mathematics and Electronic and Electrical Engineering from Sungkyunkwan University (SKKU) in Aug. 2021. Since Sept. 2021, I have been pursuing my combined M.S.–Ph.D. degree in the Department of Electrical Engineering at Pohang University of Science and Technology (POSTECH). Since Sep. 2024, I have also been a visiting student researcher at Seoul National University (SNU).Â
Generative AI for Physical Layer
LLM-based communication for the physical layer
Semantic communication for robust, efficient transmission
AI-Native 5G/6G Transceivers
Deep learning-based sensing for grant-free access
Channel estimation for massive MIMO
(*): corresponding author
Preprints (submitted/under revision/in preparation)
[P2] Sojeong Park, Jaehyun Choi, and Hyun Jong Yang*, "Semantic-Aware Data-Aided Channel Estimation with Large Language Models for MIMO Systems," in preparation.
[P1] Sojeong Park, Yeongjun Kim, and Hyun Jong Yang*, User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing ," submitted to IEEE Wireless Communications Letters (WCL) (under minor revision). [Paper]
International Journals
[J1] [🏆Competition Award] Sojeong Park, Hyeonho Noh, and Hyun Jong Yang*, "Robust Transmission of Punctured Text with Large Language Model-based Recovery," IEEE Transactions on Vehicular Technology (TVT) , 2026, DOI: 10.1109/TVT.2025.3595593.  [Paper] [Code]
International Conferences
[C3] Sojeong Park and Hyun Jong Yang*, "Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model," Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026, DOI: 10.1109/ICASSP55912.2026.11462966. [Paper]
[C2] Sojeong Park and Hyun Jong Yang*, "A Survey of Learning-Based Channel Decoders and Parallelization Strategies for AI-RAN," Proc. International Conference on ICT Convergence (ICTC), Jeju Island, Korea, Republic of, October 16, 2025. [Program Link]
[C1] Hyeonho Noh, Sojeong Park, and Hyun Jong Yang*, "Deep Reinforcement Learning-based Resource Allocation and Mode Selection for Semantic Communication," WiOpt Workshop on Modeling and Optimization for Semantic Communications (MOSC), 2024. [Paper]
Domestic Papers
[D5] Sojeong Park, Hyun Jong Yang*, "A Survey on Semantic Communication for Text Transmission," The 34th Joint Conference on Communications and Information (JCCI), Apr. 2024.Â
[D4] Sojeong Park, Yeongjun Kim, Jonggyu Jang, and Hyun Jong Yang*, "Learning-Based Channel Estimation Method with Non-Orthogonal Pilots for Grant-Free Multiple Access in Massive MIMO Systems", The Journal of Korean Institute of Communications and Information Sciences (JKICS), Nov. 2023.
[D3] [🏆Best Paper Award] Sojeong Park, Yeongjun Kim, Jonggyu Jang, and Hyun Jong Yang*,“A Learning-based Channel Estimation Method for Grant-Free Access in Massive MIMO Systems,” KICS Winter Conference, Feb. 2023.
[D2] Sojeong Park, Hosung Joo, Jonggyu Jang, and Hyun Jong Yang*, “A survey on Semantic Communications: Opportunities and Challenges,” KICS Fall Conference, Nov. 2022.
[D1] Sojeong Park, Hyeonsu Lyu, and Hyun Jong Yang*, “Designing Scalable Deep Q-Learning Using Fully Convolutional Network,” KICS Winter Conference, Feb. 2022.