石远明
副教授、研究员
博士毕业院校:中国香港科技大学
电话:(021) 20685374
办公室:信息学院1C-403C室
招聘主页:
研究领域
个人简历
代表性论文

研究方向

  • 通信网络、人工智能、机器学习、信号处理


主要研究内容

  • 前沿应用:通信网络、人工智能、物联网、大数据

  • 基础研究:机器学习、信号处理、数理优化、高维统计

个人简历

石远明,信息学院副教授,目前在学院担任智能网络中心主任。

明博士于20117得清大学子工程学士学位(2007-2009学年于“数学物理基科学班”培养20158得香港科技大学子及算机工程博士学位,Khaled B. Letaief教授。他20159月加入上海科技大学信息科学与技学院任助理教授, 2019年1月任副教授。他于2016年秋季学期任加州大学伯克利分校访问教授,访问统计机器学习领域Martin J. Wainwright教授。他的研究成果荣获2016 IEEE通信学会马可尼最佳论文奖(无线通信领域最重要学术奖项之一),以及2016 IEEE信号处理学会最佳青年作者论文奖。他主要的研究方向为机器学习、信号处理、数理优化、高维统计,及其在6G网络、人工智能、物联网、大数据中的应用。

代表性论文

  1. K. B. Letaief, Y. Shi, J. Lu, and J. Lu, “Edge artificial intelligence for 6G: vision, enabling technologies, and applications,” IEEE J. Select. Areas Commun., to appear, Jan. 2022, invited paper.

  2. L. Li, L. Yang, X. Guo, Y. Shi, H. Wang, W. Chen, and K. B. Letaief, “Delay analysis of wireless federated learning based on saddle point approximation and large deviation theory,” IEEE J. Select. Areas Commun., to appear, Jan. 2022.

  3. Z. Wang, J. Qiu, Y. Zhou, Y. Shi, L. Fu, W. Chen, and K. B. Letaief, “Federated learning via intelligent reflecting surface,” IEEE Trans. Wireless Commun., Jul. 2021, DOI: 10.1109/TWC.2021.3099505.

  4. M. Fu, Y. Zhou, Y. Shi, and K. B. Letaief, “Reconfigurable intelligent surface empowered downlink non-orthogonal multiple access,” IEEE Trans. Commun., vol. 69, no. 6, pp. 3802-3817, Jun. 2021. 

  5. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “Graph neural networks for scalable radio resource management: architecture design and theoretical analysis,” IEEE J. Select. Areas Commun., vol. 39, no. 1, pp. 101-115, Jan. 2021.  

  6. Y. Shi, K. Yang, T. Jiang, J. Zhang, and K. B. Letaief, “Communication-efficient edge AI: algorithms and systems,” IEEE Commun. Surveys Tuts., vol. 22, no. 4, pp. 2167-2191, 4th Quart. 2020.  

  7. K. Yang, Y. Shi, Y. Zhou, Z. Yang, L. Fu, and W. Chen, “Federated machine learning for intelligent IoT via reconfigurable intelligent surface,” IEEE Netw., vol. 34, no. 5, pp. 16-22, Oct. 2020.

  8. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “LORM: Learning to optimize for resource management in wireless networks with few training samples,” IEEE Trans. Wireless Commun., vol. 19, no. 1, pp. 665-679, Jan. 2020.  

  9. K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and Y. Zhang, “The roadmap to 6G - AI empowered wireless networks,” IEEE Commun. Mag., vol. 57, no. 8, pp. 84-90, Aug. 2019. 

  10. X. Yuan, Y. Zhang, Y. Shi, W. Yan, and H. Liu, “Reconfigurable-Intelligent-Surface empowered wireless communications: Challenges and opportunities,” IEEE Wireless Commun., vol. 28, no. 2, pp. 136-143, Apr. 2021.  

  11. Y. Shi, J. Zhang, B. O’Donoghue, and K. B. Letaief, “Large-scale convex optimization for dense wireless cooperative networks”, IEEE Trans. Signal Process., vol. 63, no. 18, pp. 4729-4743, September 2015. (The 2016 IEEE Signal Processing Society Young Author Best Paper Award)  

  12. Y. Shi, J. Zhang, and K. B. Letaief, “Group sparse beamforming for green Cloud-RAN”, IEEE Trans. Wireless Commun., vol. 13, no. 5, pp. 2809-2823, May 2014. (The 2016 Marconi Prize Paper Award)