Le Liang
Southeast University, China
Le Liang is a Professor in the School of Information Science and Engineering, Southeast University, Nanjing, China. He obtained his Ph.D. in electrical and computer engineering from the Georgia Institute of Technology, USA, in 2018. From 2019 to 2021, he was a Research Scientist at Intel Labs, Hillsboro, USA. His research interests are in wireless communications and machine learning. Dr. Liang serves as an Associate Editor for IEEE Transactions on Cognitive Communications and Networking. He received the IEEE ComSoc Asia Pacific Outstanding Young Researcher Award in 2025 and the Best Paper Award from IEEE ICCC in 2026
The emergence of large language models (LLMs) has revolutionized the AI field, offering unprecedented capabilities in reasoning, generalization, and zero-shot learning. These strengths open new frontiers in wireless communications, where increasing complexity and dynamism demand intelligent and adaptive solutions. This talk explores the role of LLMs in transforming wireless systems across two key directions: adapting pretrained LLMs for core communication tasks, developing wireless-native foundation models to balance versatility and efficiency, and enabling agentic LLMs with autonomous reasoning and coordination capabilities. We highlight recent advances, practical case studies, and the unique benefits of LLM-based approaches over traditional methods.