| Dec 06, 2025 | Our paper, PEARL: Peer-Enhanced Adaptive Radio via On-Device LLM, has been presented at the NeurIPS’25. |
| Oct 13, 2025 | Our work has been selected as an oral presentation at the NeurIPS’25 (AI4NextG). |
| Aug 25, 2025 | Invited to serve on the Program Committee for the AI4NextG Workshop at NeurIPS’25. |
| Jul 18, 2025 | Invited to join the ML4Wireless panel discussion at the ICML’25 as an industry speaker. |
| Jul 17, 2025 | Our paper, On-Device LLM for Context-Aware Wi-Fi Roaming, has been presented at the ICML’25. |
| Jul 16, 2025 | Our paper, AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins, has been presented at the ICML’25. |
| Apr 04, 2025 | Our paper, “Generative vs. Predictive Models in Massive MIMO Channel Prediction” has been presented and published at the Asilomar’24. |
| Feb 02, 2025 | Invited to serve on the Technical Committee for the IEEE Globecom’25 MLCN (Machine Learning for Communications and Networking) track. |
| Sep 17, 2024 | Our paper, “A Scalable and Generalizable Pathloss Map Prediction” has been accepted and published in the IEEE TWC. |
| Sep 09, 2024 | Our paper, “Integrating Pre-Trained Language Model with Physical Layer Communications” has been accepted and published in the IEEE TWC. |
| Aug 26, 2024 | Joined Nokia in Sunnyvale, CA, USA as a Principal Researcher specializing in AI/ML. |
| Apr 19, 2024 | Invited to serve on the Technical Committee for the IEEE ICASSP’24 RMA (Radio Maps and Their Applications Workshop). |
| Feb 29, 2024 | Invited to serve on the Technical Committee for the IEEE Globecom’24 MLC (Machine Learning for Communications) track. |
| Jan 23, 2024 | Collaborated on-site with the SMI team at Samsung Research America (Dallas, TX) on low-complexity generative model-based channel prediction for mMIMO systems. |
| Dec 23, 2023 | Our paper, “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 GLOBECOM’23. |
| Jun 10, 2023 | Our designed PMNet framework achieved the 1st (Top)-Rank at the IEEE ICASSP’23 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. |