Li Qiao
The University of Hong Kong
I am a Postdoctoral Fellow in the Department of Electrical and Computer Engineering at The University of Hong Kong, working with Prof. Kaibin Huang (IEEE Fellow, Head of Department).
My research explores how artificial intelligence can reshape the way wireless systems communicate, with a focus on generative semantic communications, token communications, collaborative edge learning and inference, and massive IoT connectivity. I am broadly interested in building intelligent, efficient, and scalable communication paradigms for the next-generation networks. If any of these topics resonate with you, feel free to reach out.
Before joining HKU, I received my Ph.D. degrees from the Beijing Institute of Technology and the University of Surrey. At BIT, I was advised by Prof. Jun Zhang and Prof. Zhen Gao; at Surrey, I worked closely with Dr. Mahdi Boloursaz Mashhadi, Prof. Pei Xiao, and Prof. Rahim Tafazolli. I also visited Imperial College London, working with Prof. Deniz Gündüz.
News
- 2026-09 TokenComSR accepted in IEEE TVT. arXiv
- 2026-09 New survey: From Semantic to Token Communication. arXiv
- 2026-08 New paper on rate-adaptive token communications: Ada-TokenCom. arXiv
- 2026-07 AirTF published in IEEE TVT. IEEE arXiv
- 2026-06 LGVSC accepted in IEEE TVT. Congratulations to Yu. arXiv
- 2026-06 Appointed as a Youth Editorial Board Member of Journal of Communications and Information Networks.
- 2026-04 TokenCom-UEP published in IEEE Wireless Communications Letters — token importance-matched unequal error protection for token communications. IEEE arXiv
- 2026-03 MD-AirComp+ published in Chinese Journal of Electronics — adaptive quantization for blind massive digital over-the-air computation. IEEE arXiv Related
- 2026-01 Generative Semantic Multicasting accepted in IEEE Transactions on Vehicular Technology — communicate less, synthesize the rest. IEEE arXiv Demo
- 2025-10 Token Communications (TokenCom) officially published in IEEE Wireless Communications and ranked as the journal’s 2nd most popular article. IEEE arXiv Code
- 2025-09 Joined The University of Hong Kong as a Postdoctoral Research Fellow in the EEE Department.
- 2025-05 Token-Domain Multiple Access (ToDMA) received the Best Paper Award at IEEE INFOCOM Workshop. IEEE
Featured Articles
arXiv preprint arXiv:2609.10714, 2026.
A comprehensive survey tracing the evolution from large-model-driven semantic communication to token communication for unified, scalable, and AI-native 6G connectivity.
LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework
accepted by IEEE Trans. Veh. Technol., 2026.
A large-model-driven generative video semantic communication framework for efficient video semantic transmission under extremely low bandwidth.
IEEE Wireless Communications, vol. 32, no. 5, pp. 80-88, Oct. 2025, 2025.
A large multimodal model-driven semantic communication framework that unifies cross-modal transmission through token-level representations; ranked as the 2nd most popular article in IEEE Wireless Communications.
Massive digital over-the-air computation for communication-efficient federated edge learning
IEEE J. Sel. Areas Commun., vol. 42, no. 11, pp. 3078-3094, Nov. 2024, 2024.
A digital over-the-air computation scheme for communication-efficient federated edge learning over massive MIMO.