Hongru Li

Hongru Li

Ph.D. candidate
Dept. ECE
HKUST

Hongru Li’s Homepage

Hi, I’m Hongru Li (黎鸿儒). I’m currently a Ph.D. candidate in the Dept. ECE, Hong Kong University of Science and Technology (HKUST), under the supervision with Prof. Khaled B. Letaief. And I work closely with Prof. Jun Zhang, Prof. Shenghui Song, Prof. Hengtao He and Dr. Zixin Wang. Prior to this, I received my B.Eng. degree from Nankai University, Tianjin, China, in 2022.

My research areas include Edge AI, Semantic Communication, Task-oriented Communication, and AI for Wireless.

News

  • Mar. 2025, our work “Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges” is submitted, [Paper].
  • Feb. 2025, I am recognized as one of the 2024 Exemplary Reviewers of IEEE Wireless Commun. Lett..
  • Jan. 2025, our work “Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck” is accepted by IEEE J. Sel. Areas Commun. [Paper (Open Access)].
  • Jan. 2025, our work “Remote training in task-oriented communication: Supervised or self-supervised with fine-tuning?” is accepted by IEEE ICC 2025 [Paper], see you in Montreal.

Publications (Google Scholar)

  • H. Li, J. Shao, H. He, S. Song, J. Zhang and K. B. Letaief. “Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck”, IEEE JSAC 2025. [Paper (Open Access)]
  • H. Li, S. Xie, J. Shao, Z. Wang, H. He, S. Song, J. Zhang and K. B. Letaief. “Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges”, submitted, 2025. [Paper]
  • H. Li, H. Zhao, H. He, S. Song, J. Zhang and K. B. Letaief. “Remote training in task-oriented communication: Supervised or self-supervised with fine-tuning?”, IEEE ICC 2025. [Paper]
  • H. Li, W. Yu, H. He, J. Shao, S. Song, J. Zhang and K. B. Letaief. “Task-oriented communication with out-of-distribution detection: An information bottleneck framework”, IEEE GLOBECOM 2023. [Paper]
  • H. Zhao, H. Li, D. Xu, S. Song, K. B. Letaief. “Multi-Modal Self-Supervised Semantic Communication”, submitted, 2025. [Paper]
  • S. Xie, H. He, H. Li, S. Song, J. Zhang, Y.-J. A. Zhang. “Deep learning-based adaptive joint source-channel coding using hypernetworks”, IEEE MeditCom 2024. [Paper]