Publications

Submitted/Preprints:

1. X. Ye, Y. Mao, X. Yu, and L. Fu, "Intelligent omni-surface-aided integrated sensing and communications based on deep reinforcement learning with knowledge transfer," submitted to IEEE Trans. Wireless Commun., Jul. 2024.

2. L. Liu, Y. Mao, J. Zhang, S. Song, and K. B. Letaief, "Quantization and privacy noise co-design for utility-privacy-communication trade-off in federated learning," submitted to IEEE Global Commun. Conf. (GLOBECOM), Cape Town, South Africa, Dec. 2024.

3. X. Bian, Y. Liu, Y. Xu, T. Hou, W. Wang, Y. Mao, and J. Zhang, "Decentralizing coherent joint transmission precoding via fast ADMM with deterministic equivalents." [Online]. https://arxiv.org/pdf/2403.19127.pdf

4. Z. Fu, J. Liu, Y. Mao, L. Qu, L. Xie, and X. Wang, "Energy-efficient UAV-assisted federated learning: Trajectory optimization, device scheduling, and resource management," submitted to IEEE Trans. Netw. Service Manag., Mar. 2024.

5. L. Qu, Y. Mao, S. Song, and C. Y. Tsui, "Energy-efficient channel decoding for wireless federated learning: Convergence analysis and adaptive design," submitted to IEEE Trans. Wireless Commun., under minor revision.

6. X. Bian, Y. Mao, and J. Zhang, "Joint activity-delay detection and channel estimation for asynchronous massive random access: A free probability theory approach," submitted to IEEE Trans. Wireless Commun., under major revision. [Online]. https://arxiv.org/pdf/2402.17996.pdf

7. Y. Zhang, Y. Mao, H. Wang, Z. Yu, S. Guo, J. Zhang, L. Wang, and B. Guo, "Orchestrating joint offloading and scheduling for low-latency edge SLAM," submitted to IEEE Trans. Mob. Comput., under major revision.

8. 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 to ACM Comput. Survey, Feb. 2024. [Online]. https://arxiv.org/pdf/2307.10655.pdf

Journal Articles:

1. Y. Mao, X. Yu, K. Huang, Y.-J. A. Zhang, and J. Zhang, "Green edge AI: A contemporary survey," Proc. IEEE, accepted for publication. [Online]. https://arxiv.org/pdf/2312.00333.pdf

2. Z. Li, Z. Lin, J. Shao, Y. Mao, and J. Zhang, "FedCiR: Client-invariant representation learning for federated non-IID features," IEEE Trans. Mob. Comput., accepted for publication. [Online]. https://arxiv.org/pdf/2308.15786.pdf

3. Z. Li, Y. Sun, J. Shao, Y. Mao, J. H. Wang, and J. Zhang, "Feature matching data synthesis for non-IID federated learning," IEEE Trans. Mob. Comput., accepted for publication. [Online]. https://arxiv.org/pdf/2308.04761.pdf

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 Trans. Wireless Commun., vol. 23, no. 7, pp. 6905-6920, Jul. 2024.

5. W. Zhuang, Y. Mao, H. He, L. Xie, S.H. Song, Y. Ge, and Z. Ding, "Approximate message passing-enhanced graph neural network for OTFS data detection," IEEE Wireless Commun. Lett., vol. 13, no. 7, pp. 1913-1917, Jul. 2024.

6. Y. Sun, Y. Mao, and J. Zhang, "MimiC: Combating client dropouts in federated learning by mimicking central updates," IEEE Trans. Mob. Comput., vol. 23, no. 7, pp. 7572-7584, Jul. 2024.

7. Y. Sun, J. Shao, Y. Mao, S. Li, and J. Zhang, "Stochastic coded federated learning: Theoretical analysis and incentive mechanism design," IEEE Trans. Wireless Commun., vol. 23, no. 6, pp. 6623-6638, Jun. 2024.

8. X. Bian, Y. Mao, and J. Zhang, "Grant-free massive random access with retransmission: Receiver optimization and performance analysis," IEEE Trans. Commun., vol. 72, no. 2, pp. 786-800, Feb. 2024.

9. X. Bian, Y. Mao, and J. Zhang, "Joint activity detection, channel estimation, and data decoding for grant-free massive random access," IEEE Internet Things. J., vol. 10, no. 16, pp. 14042-14057, Aug. 2023.

10. Y. Sun, J. Shao, Y. Mao, J. H. Wang, and J. Zhang, "Semi-decentralized federated edge learning with data and device heterogeneity," IEEE Trans. Netw. Service Manag., vol. 20, no. 2, pp. 1487-1501, Jun. 2023.

11. J. Shao, Y. Mao, and J. Zhang, "Task-oriented communication for multi-device cooperative inference," IEEE Trans. Wireless Commun., vol. 22, no. 1, pp. 73-87, Jan. 2023. (ESI highly cited paper)

12. R. Dong, Y. Mao, and J. Zhang, "Resource-constrained edge AI with early exit prediction," J. Commun. Inf. Netw., vol. 7, no. 2, pp. 122-134, Jun. 2022.

13. J. Shao, Y. Mao, and J. Zhang, "Learning task-oriented communication for edge inference: An information bottleneck approach," IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 197-211, Jan. 2022.

14. Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, "A survey on mobile edge computing: The communication perspective," IEEE Commun. Surveys Tuts., vol. 19, no. 4, pp. 2322-2358, 4th Quarter 2017. (ESI highly cited paper) [This paper received the 2021 IEEE Communications Society Best Survey Paper Award, May 2021]

15. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, "Stochastic joint radio and computational resource management for multi-user mobile-edge computing systems," IEEE Trans. Wireless Commun., vol. 16, no. 9, pp. 5994-6009, Sep. 2017. (ESI highly cited paper)

16. Y. Mao, J. Zhang, and K. B. Letaief, "Dynamic computation offloading for mobile-edge computing with energy harvesting devices," IEEE J. Sel. Areas Commun., vol. 34, no. 12, pp. 3590-3605, Dec. 2016. (ESI highly cited paper) [This paper received the 2019 IEEE Communications Society and Information Theory Society Joint Paper Award, May 2019]

17. Y. Mao, J. Zhang, and K. B. Letaief, "Grid energy consumption and QoS tradeoff in hybrid energy supply wireless networks," IEEE Trans. Wireless Commun., vol. 15, no. 5, pp. 3573-3586, May 2016.

18. Y. Mao, J. Zhang, and K. B. Letaief, "A Lyapunov optimization approach for green cellular networks with hybrid energy supplies," IEEE J. Sel. Areas Commun., vol. 33, no. 12, pp. 2463-2477, Dec. 2015.

19. Y. Mao, Y. Luo, J. Zhang, and K. B. Letaief, "Energy harvesting small cells: Feasibility, deployment, and operation," IEEE Commun. Mag., vol. 53, no. 6, pp. 94-101, Jun. 2015.

20. Y. Mao, G. Yu, and Z. Zhang, "On the optimal transmission policy in hybrid energy supply wireless communication systems," IEEE Trans. Wireless Commun., vol. 13, no. 11, pp. 6422-6430, Nov. 2014.

21. Y. Mao, G. Yu, and C. Zhong, "Energy consumption analysis of energy harvesting systems with power grid," IEEE Wireless Commun. Lett., vol. 2, no. 6, pp. 611-614, Dec. 2013.

Conference Papers:

1. Q. Lin, S. H. Song, C. Y. Tsui, and Y. Mao, "How robust is federated learning to communication error? A comparison study between uplink and downlink channels," in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), Dubai, UAE, Apr. 2024.

2. Y. Liu, X. Bian, Y. Xu, T. Hou, W. Wang, Y. Mao, and J. Zhang, "Decentralized coherent joint transmission precoding via deterministic equivalents," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP), Seoul, South Korea, Apr. 2024.

3. Z. Fu, J. Liu, Y. Mao, and L. Xie, "Energy-efficient UAV-assisted federated learning in wireless networks," in Proc. Int. Conf. Wireless Commun. Signal Process. (WCSP), Hangzhou, China, Nov. 2023.

4. Y. Sun, Z. Lin, Y. Mao, S. Jin, and J. Zhang, "Probabilistic device scheduling for over-the-air federated learning," in Proc. IEEE Int. Conf. Commun. Techn. (ICCT), Wuxi, China, Oct. 2023.

5. X. Bian, Y. Mao, and J. Zhang, "Joint activity-delay detection and channel estimation for asynchronous massive random access," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023.

6. X. Bian, Y. Mao, and J. Zhang, "Error rate analysis for grant-free massive random access with short-packet transmission," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Rio de Janeiro, Brazil, Dec 2022.

7. Z. Li, J. Shao, Y. Mao, J. H. Wang, J. Zhang, "Federated learning with GAN-based data synthesis for non-IID clients," in Int. Wkshop. Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22), Vienna, Austria, Jul. 2022. [Online]. https://arxiv.org/pdf/2206.05507.pdf

8. Y. Sun, J. Shao, S. Li, Y. Mao, and J. Zhang, "Stochastic coded federated learning with convergence and privacy guarantees," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Espoo, Finland, Jun.-Jul. 2022.

9. Y. Sun, J. Shao, Y. Mao, and J. Zhang, "Asynchronous semi-decentralized federated edge learning with heterogeneous clients," in Proc. IEEE Int. Conf. Commun. (ICC), Seoul, South Korea, May 2022.

10. Y. Sun, J. Shao, Y. Mao, J. H. Wang, and J. Zhang, "Semi-decentralized federated edge learning for fast convergence on non-IID data," in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), Austin, TX, USA, Apr. 2022.

11. X. Zhang, J. Shao, Y. Mao, and J. Zhang, "Communication-computation efficient device-edge co-inference via AutoML," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Madrid, Spain, 2021.

12. X. Bian, Y. Mao, and J. Zhang, "Joint activity detection and data decoding in massive random access via a Turbo receiver," in Proc. IEEE Int. Wkshops Signal Process. Advances Wireless Commun. (SPAWC), Lucca, Italy, Sep. 2021.

13. X. Bian, Y. Mao, and J. Zhang, "Supporting more active users for massive access via data-assisted activity detection," in Proc. IEEE Int. Conf. Commun. (ICC), Montreal, QC, Canada, Jun. 2021.

14. J. Shao, H. Zhang, Y. Mao, and J. Zhang, "Branchy-GNN: A device-edge co-inference framework for efficient point cloud processing," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP), Toronto, ON, Canada, Jun. 2021.

15. C. Chen, Z. Wang, Y. Mao, H. Wu, B. Bai, and G. Zhang, "TC-MIMONet: A learning-based transceiver for MIMO systems with temporal correlations," in Proc. IEEE Veh. Techn. Conf. (VTC-Spring), Helsinki, Finland, Apr. 2021.

16. X. Zhang, Y. Mao, J. Zhang, and K. B. Letaief, "Multi-objective resource allocation for mobile edge computing systems," in Proc. IEEE Int. Symp. Personal Indoor Mobile Radio Commun. (PIMRC), Montreal, QC, Canada, Oct. 2017.

17. Y. Mao, J. Zhang, and K. B. Letaief, "Joint task offloading scheduling and transmit power allocation for mobile-edge computing systems," in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), San Francisco, CA, USA, Mar. 2017.

18. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, "Power-delay tradeoff in multi-user mobile-edge computing systems," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Washington, DC, USA, Dec. 2016.

19.  J. Liu, Y. Mao, J. Zhang, and K. B. Letaief, "Delay-optimal computation task scheduling for mobile-edge computing systems," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Barcelona, Spain, Jul. 2016.

20.  Y. Mao, J. Zhang, and K. B. Letaief, "ARQ with adaptive feedback for energy harvesting receivers," in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Doha, Qatar, Apr. 2016.

21. Y. Mao, J. Zhang, and K. B. Letaief, "Joint base station assignment and power control for hybrid energy supply wireless networks," in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), New Orleans, LA, USA, Mar. 2015.

22. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, "Joint link selection and relay power allocation for energy harvesting relaying systems," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Austin, TX, USA, Dec. 2014.

Books/Book Chapters:

1. X. Bian, Y. Mao, and J. Zhang, "Grant-free massive random access: Joint activity detection, channel estimation, and data decoding," in Next Generation Multiple Access, Wiley, Jan. 2024.

2. Z. Li, J. Shao, Y. Mao, J. H. Wang, and J. Zhang, "Federated learning with GAN-based data synthesis for non-IID clients," in Trustworthy Federated Learning (Part of the Lecture Notes in Computer Science book series - LNAI, vol. 13448), Springer, Mar. 2023. [This is a post-conference publication.]

3. C. You, Y. Mao, J. Zhang, and K. Huang, "Energy-efficient offloading for mobile edge computing," in Wiley 5G Ref: The Essential 5G Reference Online, Dec. 2019.

Patents:

1. E. Chiu, Y. Hou, Y. Mao, X. Liu, C. Leung, M. W. Kwan, and K. C. E. Tsang, "Method of processing a received channel signal in a device-to-device communications link using multiple reference signals," Patent No.: US 11,323,986, May 2022.

2. Y. Hou, Y. Mao, E. Chiu, X. Liu, Y. Luo, M. W. Kwan, and K. C. E. Tsang, "Method of processing a received channel signal in a device-to-device communications link," Patent No.: US 11,026,278, Jun. 2021.

3. Y. Hou, Y. Mao, E. Chiu, X. Liu, Y. Luo, M. W. Kwan, and K. C. E. Tsang, "一种在设备到设备通信链路中处理接收信道信号的方法," Chinese Patent No. CN110741581B, Apr. 2022.

4. E. Chiu, Y. Hou, Y. Mao, X. Liu, C. Leung, M. W. Kwan, and K. C. E. Tsang, "一种利用多个参考符号在设备到设备通信链路中处理接收信道信号的方法," Chinese Patent Appl. No. CN113647121B, Jun. 2023.