Homepage
Home
Publication
Reading
Teaching
Photograph
Useful Links
FL Seminar
NICE, SIST

Jingyang (William) Zhu - Publications

Accepted Preprints and Proceedings

  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.

Publications

  • Journal Articles

  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. 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]

  5. 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]

  6. 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]

  7. 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]

  8. 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]

  9. 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]

  10. 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]

  • Conference Proceedings

  1. 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]

  2. 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]

  3. 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]

  4. 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]

  5. 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]

  6. 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]

  7. 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]

  8. 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]