| Oct 29, 2024 | Our paper titled “Generative vs. Predictive Models in Massive MIMO Channel Prediction” has been accepted and presented at Asilomar2024.. |
| Sep 17, 2024 | Our paper titled “A Scalable and Generalizable Pathloss Map Prediction” has been accepted and published in the IEEE TWC. |
| Sep 09, 2024 | Our paper titled “Integrating Pre-Trained Language Model with Physical Layer Communications” has been accepted and published in the IEEE TWC. |
| Apr 19, 2024 | I’ve served on the Technical Committee for the IEEE ICASSP2024 RMA (Radio Maps and Their Applications Workshop). |
| Feb 29, 2024 | I’ve been appointed to the TPC for the IEEE Globecom2024 MLC (Machine Learning for Communications) track. |
| Jan 23, 2024 | I’ve had the opportunity to collaborate on-site with the SMI team at Samsung Research America (SRA) in Dallas, Texas, on Low-Complexity Generative Model-based Channel Prediction for mMIMO Systems. |
| Dec 23, 2023 | Our paper titled “Handover Protocol Learning for LEO Satellite Networks” has been accepted and published in the IEEE TWC. |
| Dec 08, 2023 | Our two papers, “Robust Pathloss Map Prediction via Supervised Learning” and “Simple and Effective Augmentation Methods for CSI-Based Indoor Localization,” were presented at the IEEE GLOBECOM2023. |
| Jun 10, 2023 | Our designed PMNet framework achieved the 1st (Top)-Rank at the IEEE ICASSP2023 ML competition (Radio Map Prediction Challenge), thanks to its outstanding accuracy. |
| Dec 19, 2022 | Our proposal, titled “End-to-End Semantic Communication Systems with Pre-Trained Model” was choosen as Selected Abstract in 2023 Qualcomm Innovation Fellowship. |