Publications

2025

Learning Ray-Tracing for Radio Propagation via Cross-Attention-Based Diffusion Models
Learning Ray-Tracing for Radio Propagation via Cross-Attention-Based Diffusion Models

Juseong Park, Taekyun Lee, Yunchou Xing, Jie Chen, Amitava Ghosh, Jeffrey G. Andrews

Asilomar Conference on Signals, Systems, and Computers 2025

Learning Ray-Tracing for Radio Propagation via Cross-Attention-Based Diffusion Models

Juseong Park, Taekyun Lee, Yunchou Xing, Jie Chen, Amitava Ghosh, Jeffrey G. Andrews

Asilomar Conference on Signals, Systems, and Computers 2025

Satellite Selection for In-Band Coexistence of Dense LEO Networks
Satellite Selection for In-Band Coexistence of Dense LEO Networks

Eunsun Kim, Ian P. Roberts, Taekyun Lee, Jeffrey G. Andrews

IEEE Transactions on Wireless Communications

Satellite Selection for In-Band Coexistence of Dense LEO Networks

Eunsun Kim, Ian P. Roberts, Taekyun Lee, Jeffrey G. Andrews

IEEE Transactions on Wireless Communications

Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks

Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana

NeurIPS 2025 Spotlight

Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks

Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana

NeurIPS 2025 Spotlight

DiffLoc: Diffusion Model-Based High-Precision Positioning for 6G Networks
DiffLoc: Diffusion Model-Based High-Precision Positioning for 6G Networks

Taekyun Lee, Tommaso Balercia, Heasung Kim, Hyeji Kim, Jeffrey G. Andrews

ArXiv 2025

DiffLoc: Diffusion Model-Based High-Precision Positioning for 6G Networks

Taekyun Lee, Tommaso Balercia, Heasung Kim, Hyeji Kim, Jeffrey G. Andrews

ArXiv 2025

Fine-Tuning Masked Diffusion for Provable Self-Correction
Fine-Tuning Masked Diffusion for Provable Self-Correction

Jaeyeon Kim*, Seunggeun Kim*, Taekyun Lee*, David Z. Pan, Hyeji Kim, Sham Kakade, Sitan Chen (* equal contribution)

ArXiv 2025

Fine-Tuning Masked Diffusion for Provable Self-Correction

Jaeyeon Kim*, Seunggeun Kim*, Taekyun Lee*, David Z. Pan, Hyeji Kim, Sham Kakade, Sitan Chen (* equal contribution)

ArXiv 2025

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models

Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews

IEEE Transactions on Wireless Communications

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models

Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews

IEEE Transactions on Wireless Communications

Generative Diffusion Model-based Compression of MIMO CSI
Generative Diffusion Model-based Compression of MIMO CSI

Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana, Mohamed Amine Arfaoui, Asil Koc, Phil Pietraski, Guodong Zhang, John Kaewell

IEEE International Conference on Communications (ICC) 2025

Generative Diffusion Model-based Compression of MIMO CSI

Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana, Mohamed Amine Arfaoui, Asil Koc, Phil Pietraski, Guodong Zhang, John Kaewell

IEEE International Conference on Communications (ICC) 2025

Importance Sampling in Digital Twin Networks
Importance Sampling in Digital Twin Networks

Taekyun Lee, Hyeji Kim, Jeffrey G. Andrews

IEEE CTW 2025

Importance Sampling in Digital Twin Networks

Taekyun Lee, Hyeji Kim, Jeffrey G. Andrews

IEEE CTW 2025

Self-Supervised Graph Contrastive Pretraining for Device-level Integrated Circuits
Self-Supervised Graph Contrastive Pretraining for Device-level Integrated Circuits

Sungyoung Lee, Ziyi Wang, Seunggeun Kim, Taekyun Lee, Yao Lai, David Z. Pan

ArXiv 2025

Self-Supervised Graph Contrastive Pretraining for Device-level Integrated Circuits

Sungyoung Lee, Ziyi Wang, Seunggeun Kim, Taekyun Lee, Yao Lai, David Z. Pan

ArXiv 2025

System and method for reducing self-interference in full-duplex system
System and method for reducing self-interference in full-duplex system

Michael Millhaem, Abhinav Mahadevan, Taekyun Lee

U.S. Patent 2025

System and method for reducing self-interference in full-duplex system

Michael Millhaem, Abhinav Mahadevan, Taekyun Lee

U.S. Patent 2025

2024

Importance Sampling via Score-based Generative Models
Importance Sampling via Score-based Generative Models

Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana

ArXiv 2024

Importance Sampling via Score-based Generative Models

Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana

ArXiv 2024

High Dimensional User-Specific Channel Generation for CSI Compression using Diffusion Models
High Dimensional User-Specific Channel Generation for CSI Compression using Diffusion Models

Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews

Asilomar Conference on Signals, Systems, and Computers 2024

High Dimensional User-Specific Channel Generation for CSI Compression using Diffusion Models

Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews

Asilomar Conference on Signals, Systems, and Computers 2024

Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements
Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements

Taekyun Lee, Hyeji Kim, Jeffrey G. Andrews

IEEE International Conference on Communications (ICC) 2024

Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements

Taekyun Lee, Hyeji Kim, Jeffrey G. Andrews

IEEE International Conference on Communications (ICC) 2024

Deep Learning-Based Autodetection of 5G NR mmWave Waveforms
Deep Learning-Based Autodetection of 5G NR mmWave Waveforms

Taekyun Lee, Abhinav Mahadevan, Hyeji Kim, Jeffrey G. Andrews

IEEE International Conference on Communications (ICC) 2024

Deep Learning-Based Autodetection of 5G NR mmWave Waveforms

Taekyun Lee, Abhinav Mahadevan, Hyeji Kim, Jeffrey G. Andrews

IEEE International Conference on Communications (ICC) 2024