Publications

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Recent Journals (Submitted/Published):
  1. Y. Zhao, C. Liu, X. Hu, J. He, M. Peng, D. W. K. Ng, and T. Q. S. Quek, “Joint Content Caching, Service Placement and Task Offloading in UAV-Enabled Mobile Edge Computing Networks,” IEEE J. Select. Areas Commun., 2025.
  2. C. Liu, C. Guo, Y. Yang, W. Ni, Y. Zhou, L. Li, and T. Q. S. Quek, “Explainable Semantic Communica- tion for Text Tasks,” IEEE Internet of Things Journal, 2025.
  3. W. Yang, Z. Xiong, T. Q. S. Quek, and X. Shen, “Streamlined Transmission: A Semantic-Aware XR Deployment Framework Enhanced by Generative AI,” IEEE Network Mag., 2025.
  4. L. Zhou, S. Leng, Q. Wang, T. Q. S. Quek, and M. Guizani, “Cooperative Digital Twins for UAV-Based Scenarios,” IEEE Commun. Mag., 2025.
  5. Z. Zhao, K. Xu, W. Hong, M. Peng, Z. Ding, T. Q. S. Quek, and H. H. Yang, “Model Pruning for Distributed Learning Over the Air,” IEEE Trans. Signal Processing, 2025.
  6. S. Zhang, S. Zhang, W. Yuan, and T. Q. S. Quek, “Transformer-empowered Predictive Beamforming for Rate- splitting Multiple Access in Non-Terrestrial Networks,” IEEE Trans. Wireless Commun., 2025.
  7. S. Zhang, Y. Mao, B. Clerckx, and T. Q. S. Quek, “Interference Management in Space-Air-Ground Integrated Networks with Fully Distributed Rate-Splitting Multiple Access,” IEEE Trans. Wireless Commun., 2025.
  8. Q. Chen, Z. Guo, W. Meng, S. Han, C. Li, and T. Q. S. Quek, “A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN,” IEEE Commu. Surveys Tutorials, 2025.
  9. C. Zhao, J. Liu, M. Sheng, J. Li, and T. Q. S. Quek, “Two-Timescale Trajectory Planning and Resource Allocation in Air-Terrestrial Integrated Networks with CoMP,” IEEE Trans. Wireless Commun., 2025.
  10. F. Wang, G. Geraci, L. Li, P. Wang, and T. Q. S. Quek,“Wireless Edge Content Broadcast via Integrated Terrestrial and Non-terrestrial Networks,” IEEE Trans. Commun., 2025.
  11. C.-H. Lin, Y. Liu, C.-Y. Chi, C.-C. Hsu, H. Ren, and T. Q. S. Quek, “Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis,” IEEE Trans. Neural Net. Learning Sys., 2025.
  12. X. Hu, Z. Chen, C. Feng, G. Min, H. H. Yang, and T. Q. S. Quek, “Sparsified Random Partial Model Update for Personalized Federated Learning,” IEEE Trans. Mobile Computing, 2025.
  13. Q. Cheng, H. Shan, W. Zhuang, T. Q. S. Quek, Z. Zhang, and F. Hou,“When Virtual Network Operator Meets E-Commerce Platform: Advertising via Data Reward,” IEEE Trans. Mobile Computing, 2025.
  14. H. H. Yang, M. Song, C. Xu, X. Wang, and T. Q. S. Quek, “Locally Adaptive Status Updating for Optimizing Age of Information in Poisson Networks,” IEEE Trans. Mobile Computing, 2025.
  15. Z. Li, Z. Chen, X. Wei, S. Gao, H. Yue, Z. Xu, and T. Q. S. Quek, “Exploiting Complex Network-based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning,” IEEE Trans. Mobile Computing, vol. 23, no. 12, pp. 14852–14870, Dec. 2024.
  16. Y. Wu, F. Zhou, W. Wu, Q. Wu, D. W. K. Ng, and T. Q. S. Quek,“Robust Resource Allocation for RSMA Spectrum Sharing Networks,” IEEE Trans. Wireless Commun., vol. 23, no. 11, pp. 16375–16389, Nov. 2024.
  17. F. Zhao, N. Pappas, C. Ma, X. Sun, T. Q. S. Quek, and H. Yang, “Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks,” IEEE Trans. Wireless Commun., vol. 23, no. 11, pp. 17238–17251, Nov. 2024.
  18. F. Wang, S. Zhang, J. Shi, Z. Li, and T. Q. S. Quek, “Sustainable UAV Mobility Support in Integrated Terrestrial and Non-terrestrial Networks,” IEEE Trans. Wireless Commun., vol. 23, no. 11, pp. 17115– 17128, Nov. 2024.

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