Juseong Park

Ph.D. Candidate @ UT Austin | Wireless Communications & ML Researcher

I am a Ph.D. student in Electrical and Computer Engineering at The University of Texas at Austin, advised by Prof. Jeffrey Andrews. As a Graduate Research Assistant with the Wireless Networking and Communication Group (WNCG) and the 6G@UT Research Center, my research focuses on the intersection of machine learning (Diffusion Models, Deep Learning) and wireless communications (MIMO, CSI Feedback).

Previously, I received my B.E. and M.E. degrees from Korea University, advised by Prof. Inkyu Lee. I have gained industrial research experience through internships at Nokia Bell Labs, Nokia Standards, and Qualcomm.

Research Interests

Wireless Communications: MU-MIMO, CSI Feedback, Beam Tracking
Machine Learning: Generative Models (Diffusion), Deep Reinforcement Learning
Signal Processing: Compressive Sensing, Optimization

Education

The University of Texas at Austin
Ph.D. in ECE (2022 - Present)
Korea University
M.E. in ECE (2019 - 2021)
Korea University
B.E. in Electrical Engineering (2013 - 2019)

Selected Publications

Journal Articles

Self-Nomination: Deep Learning for Decentralized CSI Feedback Reduction in MU-MIMO Systems
J. Park, F. Sohrabi, J. Du, and J. G. Andrews
arXiv preprint, April 2025 (Under Review). [PDF]
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
T. Lee, J. Park, H. Kim, and J. G. Andrews
IEEE Transactions on Wireless Communications (To Appear).
End-to-End Deep Learning for TDD MIMO Systems in the 6G Upper Midbands
J. Park, F. Sohrabi, A. Ghosh, and J. G. Andrews
IEEE Transactions on Wireless Communications, vol.24, no.3, March 2025.
Deep Recurrent Q-Network Methods For Mmwave Beam Tracking Systems
J. Park, H. Lee, S. Hwang, and I. Lee
IEEE Transactions on Vehicular Technology, Dec 2022.
Decentralized Computation Offloading With Cooperative UAVs: Multi-Agent Deep Reinforcement Learning Perspective
S. Hwang, H. Lee, J. Park, and I. Lee
IEEE Wireless Communications, Aug 2022.
Grid-Based Bayesian Beam Tracking With Multiple Observations for Millimeter Wave Channels
J. Park, S. Baek, J. Moon, and I. Lee
IEEE Transactions on Vehicular Technology, Dec 2021.

Conference Proceedings

Learning Ray-Tracing for Radio Propagation via Cross-Attention-Based Diffusion Models
J. Park, T. Lee, Y. Xing, J. Chen, A. Ghosh, and J. G. Andrews
Asilomar Conference on Signals, Systems, and Computers, Nov 2025 (To Appear).
Self-Nomination Based Feedback Reduction for MU-MIMO
J. Park, F. Sohrabi, J. Du, and J. G. Andrews
Asilomar Conference on Signals, Systems, and Computers, Nov 2024.
High Dimensional User-Specific Channel Generation for CSI Compression Using Diffusion Models
T. Lee, J. Park, H. Kim, and J. G. Andrews
Asilomar Conference on Signals, Systems, and Computers, Nov 2024.
Deep Reinforcement Learning Approach for UAV-Assisted Mobile Edge Computing Networks
S. Hwang, J. Park, H. Lee, M. Kim and I. Lee
IEEE Global Communications Conference (Globecom), Dec 2022.