Publications

For the latest publications, please see my Google Scholar Profile.

Submitted/Preprints:

  1. W. Sun, T. Li, Z. Lin, and J. Zhang, “Spatial-aware latent initialization for controllable image generation,” submitted. [arXiv]

  2. T. Zhou, Z. Lin, J. Zhang, and D. Tsang, “Understanding and improving model averaging in federated learning on heterogeneous data,” submitted. [arXiv][GitHub]

  3. J. Shao, Z. Li, W. Sun, T. Zhou, Y. Sun, L. Liu, Z. Lin, Y. Mao, and J. Zhang, “A survey of what to share in federated learning: Perspectives on model utility, privacy leakage, and communication efficiency,” submitted. [arXiv]

Journal Articles

  1. Z. Li, Z. Lin, J. Shao, Y. Mao, and J. Zhang, “FedCiR: Client-invariant representation learning for federated non-IID features,” IEEE Transactions on Mobile Computing (TMC), to appear. [arXiv]

  2. Y. Shen, J. Shao, X. Zhang, Z. Lin, H. Pan, D. Li, J. Zhang, and K. B. Letaief, “Large language models empowered autonomous edge AI for connected intelligence,” IEEE Communications Magazine, to appear. [arXiv]

  3. Y. Sun, Z. Lin, Y. Mao, S. Jin, and J. Zhang, “Channel and gradient-importance aware device scheduling for over-the-air federated learning,” IEEE Transactions on Wireless Communications (TWC), to appear. [arXiv]

  4. Z. Lin, H. Liu, and Y.-J. A. Zhang, “CFLIT: Coexisting federated learning and information transfer,” IEEE Transactions on Wireless Communications (TWC), vol. 22, no. 11, pp. 8436–8453, Nov. 2023. [arXiv]

  5. H. Liu, Z. Lin, X. Yuan, and Y.-J. A. Zhang, “Reconfigurable intelligent surface empowered over-the-air federated edge learning,” IEEE Wireless Communications, vol. 30, no. 6, pp. 111-118, Dec. 2023. [arXiv]

  6. Z. Lin, H. Liu, and Y.-J. A. Zhang, “Relay-assisted cooperative federated learning,” IEEE Transactions on Wireless Communications (TWC), vol. 21, no. 9, pp. 7148–7164, Sept. 2022. [arXiv] [GitHub]

  7. Z. Lin, S. Bi, and Y.-J. A. Zhang, “Optimizing AI service placement and resource allocation in mobile edge intelligence systems,” IEEE Transactions on Wireless Communications (TWC), vol. 20, no. 11, pp. 7257-7271, Nov. 2021. [arXiv]

  8. Z. Lin and Y. Liu, “Joint uplink and downlink transmissions in user-centric OFDMA cloud-RAN,” IEEE Transactions on Vehicular Technology (TVT), vol. 68, no. 8, pp. 7776-7788, Aug. 2019. [arXiv]

Conference Papers

  1. Y. Sun, Z. Lin, Y. Mao, S. Jin, and J. Zhang, “Probabilistic scheduling for over-the-air federated learning,” IEEE International Conference on Communication Technology (ICCT), Wuxi, China, Oct. 2023.

  2. Z. Lin, H. Liu, and Y.-J. A. Zhang, “Relay-assisted over-the-air federated learning,” IEEE Global Communications Conference Workshops (GLOBECOM Wkshps), Madrid, Spain, Dec. 2021.

  3. Z. Lin, S. Bi, and Y.-J. A. Zhang, “Optimizing AI service placement and computation offloading in mobile edge intelligence systems,” IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020.

  4. Z. Lin and Y. Liu, “Joint uplink-downlink resource allocation in OFDMA cloud radio access networks,” IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.

  5. Z. Lin and Y. Liu, “User-centric OFDMA cloud radio access networks with fronthaul capacity constraints,” IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017.