朱敬阳JINGYANG ZHU
EN

PROFILE / 个人介绍

个人介绍

01关于我

我在上海科技大学信息科学与技术学院取得计算机科学博士学位，导师是石远明教授。

我现在是中国电信人工智能研究院（TeleAI）AI-Flow 的研究员，由邵嘉伟教授和李学龙教授指导。李学龙教授是中国电信首席技术官、首席科学家，也是 TeleAI 的负责人。

2025 年 5 月至 9 月，我在上海诺基亚贝尔实验室实习。

更早之前，我于 2021 年在西安电子科技大学电子工程学院取得电子信息工程学士学位。

目前的研究兴趣是边缘大模型，尤其是端边云协同的大模型推理与压缩，以及它们在卫星边缘智能和空天算力网络中的应用。

邮箱zhujy38@chinatelecom.cn

地址上海市徐汇区龙文路 199 号国际传媒港 F1 栋 29 楼

02研究内容

  • 分布式学习与优化
  • 边缘大模型
  • 端边云协同训练与推理
  • 空天算力网络

03学术服务

  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • IEEE Transactions on Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Journal of Selected Topics in Signal Processing
  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Open Journal of the Communications Society
  • IEEE Wireless Communications Letters

04获得奖项

  • 上海市优秀毕业生，2026
  • 上海科技大学优秀毕业生，2026

05已接收待发表

  1. Y. Feng, J. Zhu, X. Liu, Y. Zhou, T. Wang, and Y. Shi, “LLM-Enhanced Edge Embodied Agents via Reward Shaping and Preference Regularization,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2026, Macau, China.
  2. J. Zhu, J. Zhu, Y. Bai, Y. Wu, Y. Shi, and W. Chen, “Robust Task-Oriented Communication for Cooperative Multi-View SAGIN Edge Inference,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2026, Macau, China.

06已发表论文

2026

  1. H. Yang, S. Xia, J. Zhu, Y. Wu, Y. Zhou, and Y. Shi, “Provable Guarantees for Over-the-Air Federated Learning with Polynomial Neural Networks,” IEEE Trans. Wireless Commun., early access, Sept. 2026. [pdf]
  2. Y. Shi, J. Zhu*, Y. Zhou, T. Wang, and C. Jiang, “Satellite Edge Artificial Intelligence with Agents: Architectures and Technologies,” Scientia Sinica Informationis, published online, Sept. 2026 (in Chinese). [pdf]
  3. J. Zhu, J. Zhu, Y. Bai, Y. Wu, T. Wang, Y. Shi, W. Chen, and K. B. Letaief, “Robust Information Bottleneck for Satellite Edge Inference Over MIMO Channel,” IEEE Trans. Wireless Commun., vol. 25, pp. 22097-22113, 2026. [pdf]
  4. L. Zeng, J. Zhu, Z. Wang, Y. Shi, and K. B. Letaief, “Unseen Cost of Space Computing: Quantifying LEO Battery Aging via Physics-Driven Modeling,” in Proc. IEEE Int. Conf. Commun. (ICC), May 2026, Glasgow, Scotland. [pdf]
  5. R. Li, J. Zhu, Y. Shi, L. Kuang, and C. Jiang, “Asynchronous Satellite Federated Learning with Intermittent Ground-to-Satellite Links,” in Proc. IEEE Int. Conf. Commun. (ICC), May 2026, Glasgow, Scotland. [pdf]
  6. Y. Zhu, J. Zhu, T. Wang, Y. Shi, C. Jiang, and K. B. Letaief, “Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks,” IEEE Trans. Wireless Commun., vol. 25, pp. 6600-6616, 2026. [pdf]

2025

  1. Z. Wang, Y. Shi, Y. Zhou, J. Zhu, and K. B. Letaief, “Edge Large AI Models: Revolutionizing 6G Networks,” IEEE Commun. Mag., vol. 63, no. 10, pp. 36-42, Oct. 2025. [pdf]
  2. J. Zhu, Y. Shi, Y. Zhou, C. Jiang, and L. Kuang, “Hierarchical Learning and Computing over Space-Ground Integrated Networks,” IEEE Trans. Mobile Comput., vol. 24, no. 10, pp. 10423-10440, Oct. 2025. [pdf][code]
  3. Y. Shi, J. Zhu*, C. Jiang, L. Kuang, and K. B. Letaief, “Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies,” Sci. China Inf. Sci., vol. 68, no. 7, Art. no. 170302, Jul. 2025. [pdf]
  4. Z. Yang, P. Zhang, J. Zhu, D. Wen, Y. Shi, and W. Chen, “Hierarchical Federated Learning with Integrated Sensing-Communication-Computation over Space-Air-Ground Integrated Networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Jun. 2025, Montreal, Canada. [pdf]
  5. R. Li, J. Zhu, Y. Mao, Y. Shi, T. Wang, and C. Jiang, “Topology-Aware Routing for Federated Learning Over Multi-Layer Satellite Networks,” in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), Mar. 2025, Milan, Italy. [pdf]

2024

  1. Y. Zhu, P. Yang, J. Zhu, D. Wen, T. Wang, Y. Zhou, and C. Jiang, “Satellite Federated Fine-Tuning for Foundation Models: Architecture Design and System Optimization,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2024, Cape Town, South Africa. [pdf]
  2. Y. Shi, L. Zeng, J. Zhu, Y. Zhou, C. Jiang, and K. B. Letaief, “Satellite Federated Edge Learning: Architecture Design and Convergence Analysis,” IEEE Trans. Wireless Commun., vol. 23, no. 10, pp. 15212-15229, Oct. 2024. [pdf]
  3. J. Zhu, Y. Shi, Y. Zhou, C. Jiang, W. Chen, and K. B. Letaief, “Over-the-Air Federated Learning and Optimization,” IEEE Internet Things J., vol. 11, no. 10, pp. 16996-17020, May 2024. [pdf][code]
  4. J. Zhu, Y. Shi, M. Fu, Y. Zhou, Y. Wu, and L. Fu, “Latency Minimization for Wireless Federated Learning with Heterogeneous Local Model Updates,” IEEE Internet Things J., vol. 11, no. 1, pp. 444-461, Jan. 2024. [pdf]

2023

  1. Y. Wang, J. Zhu, Y. Mao, D. Wen, X. Tian, and Y. Shi, “Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks,” in Proc. IEEE GLOBECOM Workshops (GC Wkshps), Dec. 2023, Kuala Lumpur, Malaysia. [pdf]
  2. J. Zhu, Y. Shi, M. Fu, Y. Zhou, Y. Wu, and L. Fu, “Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates,” in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), Mar. 2023, Glasgow, Scotland. [pdf]

2021

  1. S. Xia, J. Zhu, Y. Yang, Y. Zhou, Y. Shi, and W. Chen, “Fast Convergence Algorithm for Analog Federated Learning,” in Proc. IEEE Int. Conf. Commun. (ICC), Jun. 2021, Online. [pdf]

* 通讯作者