Publications

(* denotes correspondence) For the latest publications, please see my Google Scholar Profile.

Submitted/Preprints:

  1. H. Chen, Z. Lin*, and J. Zhang, “GI-GS: Global illumination decomposition on Gaussian splatting for inverse rendering,” submitted. [arXiv] [Code][Project Page]

  2. Y. Hu, Z. Liu, J. Shao, Z. Lin*, and J. Zhang, “EVA-Gaussian: 3D Gaussian-based real-time human novel view synthesis under diverse camera settings,” submitted. [arXiv][Project Page]

  3. X. Zhang, Z. Liu, Y. Zhang, X. Ge, D. He, T. Xu, Y. Wang, Z. Lin, S. Yan, and J. Zhang, “MEGA: Memory-efficient 4D Gaussian splatting for dynamic scenes,” submitted. [arXiv]

  4. J. Tong, J. Shao, Q. Wu, W. Guo, Z. Li, Z. Lin, and J. Zhang, “WirelessAgent: Large language model agents for intelligent wireless networks,” submitted. [arXiv][Wechat Official Accounts Article (Chinese)]

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

  6. 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][Wechat Official Accounts Article (Chinese)]

Journal Articles

  1. T. Zhou, Z. Lin*, J. Zhang, and D. Tsang, “Understanding and improving model averaging in federated learning on heterogeneous data,” IEEE Transactions on Mobile Computing (TMC), to appear. [arXiv][Code][Wechat Official Accounts Article (Chinese)]

  2. 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), vol. 23, no. 11, pp. 10509-10522, Nov. 2024. [arXiv]

  3. 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, vol. 62, no. 10, pp. 140-146, Oct. 2024. [arXiv][Wechat Official Accounts Article (Chinese)]

  4. 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), vol. 23, no. 7, pp. 6905-6920, Jul. 2024. [arXiv]

  5. J. Shao, J. Tong, Q. Wu, W. Guo, Z. Li, Z. Lin, and J. Zhang, “WirelessLLM: Empowering large language models towards wireless intelligence,” Journal of Communications and Information Networks, vol. 9, no. 2, pp. 99-112, Jun. 2024. [arXiv][Video][Wechat Official Accounts Article (Chinese)]

  6. 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]

  7. 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]

  8. 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] [Code]

  9. 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]

  10. 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. Z. Liu, X. Zhang, J. Shao, Z. Lin*, and J. Zhang, “Bidirectional stereo image compression with cross-dimensional entropy model,” European Conference on Computer Vision (ECCV), Milano, Italy, Sept.-Oct. 2024. [arXiv] [Code] [Video][Wechat Official Accounts Article (Chinese)] (Acceptance Rate: 27.9%)

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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