Book Chapter:

1. Y. Chen, X. Cao, J. Xu, G. Zhu, K. Huang, S. Cui, "Over-the-Air Computation", in the chapter of Next Generation of Multiple Access, Wiley, 2024.

Journal Article: (Sorted by Areas)

Large Model/Foundation Model

-Survey/Toturial

1. H. Chen, H. Chen, K. Han, G. Zhu*, Y. Du, "Domain-Specific Foundation-Model Custoization: Theoretical Foundation and Key Technology", accepted by Journal of Data Acquisition and Processing, 2024.

-Technical papers

2. W. Kou, Q. Lin, M. Tang, S. Xu, R. Ye, Y. Leng, S. Wang, Z. Chen, G. Zhu*, and Y. C. Wu, "pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving", submitted to IEEE for possible publication, 2024.

Task-oriented  Sensing-Computation-Communications Integration

-Survey/Toturial

3. G. Zhu, Z. Lyu, X. Jiao, P. Liu, M. Chen, J. Xu, S. Cui, and P. Zhang, "Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G", Sci. China Inf. Sci., vol. 66, no. 3, Feb. 2023. （Available: ArXiv）

4. H. Xing, G. Zhu, D. Liu, H. Wen, K. Huang, and  K. Wu, "Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI ", IEEE Network Magazine, vol. 37, no. 4, pp. 135-144, Aug. 2023. 

-Technical papers

5.  Y. Liang, Q. Mei, G. Zhu, H. Jiang, Y. Eldar, and S. Cui, "Communication-and-Energy Efficient Over-the-Air Federated Learning", submitted to IEEE for possible publication, 2024.

6. S. Liu, D. Wen, D. Li, Q. Chen, G. Zhu, Y. Shi, "Task-Oriented Mode Selection for Edge AI Inference via Integrated Sensing-Communication-Computation" submitted to IEEE for possible publication, 2023.

7. Y. Tang, G. Zhu, W. Xu, M. Cheung, T. M. Lok, and S. Cui, "Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning", submitted to IEEE for possible publication, 2023. (Available: ArXiv)

8. Z. Zhuang, D. Wen, Y. Shi, G. Zhu, S. Wu, D. Niyato, "Integrated Sensing-Communication-Computation for Over-the-Air Edge AI Inference", accepted by IEEE Trans. Wireless Commun., Aug. 2023.

9. X. Jiao, D. Wen, G. Zhu, W. Jiang, W. Luo, Y. Shi, "Task-oriented Over-the-air Computation for Device-edge Co-inference with Balanced Classification Accuracy", submitted to IEEE for possible publication, 2023.

10. D. Wen, X. Jiao, P. Liu, G. Zhu*, Y. Shi, K. Huang, "Task-Oriented Over-the-Air Computation for Multi-Device Edge AI", IEEE Trans. Wireless Commun., vol. 23, no. 3, pp. 2039-2053, Mar. 2024. (Available: ArXiv).

11. D. Wen, P. Liu, G. Zhu*, Y. Shi, J. Xu, Y. C. Eldar, and S. Cui, "Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI", IEEE Trans. Wireless Commun., vol. 23, no. 3, pp. 2486-2502, Mar. 2024. （Available: ArXiv）(Related Code).

12.  P. Liu, G. Zhu*, S. Wang, W, Jiang, W. Luo, H. V. Poor, S. Cui, “Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration”.  IEEE J. Sel. Signal. Prosess., vol. 17, no. 1, pp. 158-172, Jan. 2023 (Available: ArXiv) （Related Code）.

13. Z. Wang, J. Jiang, P. Liu, X. Cao, Y. Li, K. Han, Y. Du, G. Zhu "New design paradigm for federated edge learning towards 6G: task-oriented resource management strategies", Journal of Communications, vol. 43, no. 6, pp. 1-13, Jun. 2022. 

14. X. Li, F. Liu, Z. Zhou, G. Zhu, S. Wang, K. Huang, and Y. Gong, "Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design", IEEE Trans. Wireless Commun., vol. 22, no. 8, pp.5383-5398, Aug. 2022. (Available: ArXiv)

Integrated Sensing and Communication

-Survey/Toturial

15. Y. Cui, X. Cao, G. Zhu, J. Nie, and J. Xu, "An Overview on Edge Perception: Intelligent Wireless Sensing at Network Edge", submitted to IEEE for possible publication, 2023.

16. X. Li, Z. Han, G. Zhu, Y. Shi, J. Xu, Q. Zhang, K. Huang, and K. B. Letaief, "Integrating Sensing, Communication, and Power Transfer: From Theory to Practice", accepted by IEEE Communications Magazine, 2024. (Available: ArXiv)

17. Y. Jiang, X. Li, G. Zhu, H. Li, J. Deng, Q. Shi, "6G Non-Terrestrial Networks Enabled Low-Altitude Economy: Opportunities and Challenges", submitted to IEEE for possible publication, 2023. (Available: ArXiv)

-Technical papers

18.  T. Chen, X. Li, H. Li, and G. Zhu*   "Deep learning-based fall detection using commodity Wi-Fi", accepted by Journal of Information and Intelligence. 2024

19. Z. Zhou, X. Li, G. Zhu, J. Xu, K. Huang, S. Cui, "Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design" accepted by IEEE J. Sel. Area Commun.  2024. (Available: ArXiv)

20. Z. Lv, G. Zhu, and J. Xu, "Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication", IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2424-2440, Apr. 2023. (Available: ArXiv)

 (ESI Highly cited paper)

21. P. Liu, G. Zhu*, W. Jiang, W. Luo, J. Xu, and S. Cui, "Vertical federated edge learning with distributed integrated sensing and communication", IEEE Commun. Lett., vol. 26, no. 9, pp. 2091-2095, Sep. 2022.  (Available: ArXiv) 

22. T. Zhang, G. Li, S. Wang, F. Liu, G. Zhu, G. Chen, and R. Wang, "ISAC-Accelerated Edge Intelligence System: Framework, Optimization and Analysis",  accepted by  IEEE Trans. Green Commun. Netw., Dec. 2022. 

23. Y. Han, H. Li, G. Zhu, Y. Lu, "Indoor Target Dectection and Locolization Method Based on WiFi", ZTE Communications, vol. 28, no. 5,  pp. 46-52, Oct. 2022.  

24. Z. Zhang, P. Liu, G. Zhu, "Communication-Efficient Edge Learning Architecture Designs for Cooperative Sensing ", ZTE Communications, vol. 28, no. 5,  pp. 29-38, Oct. 2022.  

Semantic Communications

25.  M. Zhang, G. Zhu*, R. Jin, X. Chen, Q. Shi, C. Zhong, K. Huang,"Beamforming Design for Semantic-Bit Coexisting Communication System" submitted to IEEE for possible publication. (Available: ArXiv)

26. Z. Lyu, G. Zhu*, J. Xu, B. Ai, and S. Cui, "Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding" accepted by IEEE Trans. Wireless Commun. 2024. (Available: ArXiv)

27. M. Zhang, Y. Li, Z. Zhang, G. Zhu, and C. Zhong, "Wireless Image Transmission with Semantic and Security Awareness", IEEE Wireless Commun. Lett., vol. 12, no. 8, pp. 1389-1393, Aug. 2023.（Available: ArXiv）

Communication-Efficient Edge AI

-Survey/Toturial

28. G. Zhu, D. Liu, Y, Du, C. You, J. Zhang, and K. Huang, "Toward an Intelligent Edge: Wireless Communication Meets Machine Learning", IEEE Commun. Mag., vol. 58, no. 1, pp. 19 - 25, Jan. 2020. (Available: ArXiv) (Top 3 Popular Article in IEEE Commun. Mag) (On the best readings list in Machine Learning in Communications, IEEE ComSoc research library) ( ESI highly cited paper)( ESI hot paper)

29. X. Cao, Z. Lyu, G. Zhu*, J. Xu, X. Le, S. Cui "An Overview on Over-the-Air Federated Edge Learning", accepted by IEEE Wireless Commun. Magazine, Jun. 2023. （Available: ArXiv）

-Technical papers

30. Y. Ai, Q. Chen, G. Zhu, D. Wen, H. Jiang, J. Zeng, and M. Li, "Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach" submitted to IEEE for possible publication, 2024.

31. Q. Chen, H. Cheng, Y. Liang, G. Zhu, M. Li, and H. Jiang, "TinyFEL: Communication, Computation, and Memory Efficient Tiny Federated Edge Learning via Model Sparse Update", submitted to IEEE for possible publication, 2024.

32. Z. Lyu, Y. Li, G. Zhu, J. Xu, V. Poor, and S. Cui, "Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm" submitted to IEEE for possible publication, 2024. （Available:ArXiv）

33. P. Zhang, D. Wen, G. Zhu, Q. Chen, K. Han, Y. Shi, "Collaborative Edge AI Inference over Cloud-RAN", has been accepted by IEEE Trans. Commun., 2023.

34. Z. Jiang, D. Wen, S. Liu, G. Zhu, and G. Yu, "Model Parallelism based Partitioned Edge Learning over Fast Fading Channels", submitted to IEEE for possible publication, 2023

35. M. Zhang, Y. Li, D. Liu, R. Jin, G. Zhu*, C. Zhong, and T. Q. S. Quek "Joint Compression and Deadline Optimization for Wireless Federated Learning", accepted by IEEE Trans. Mobile Compt., 2023.  (Available: ArXiv)

36.  X. Li, T. Zhang, S. Wang, G. Zhu, R. Wang, and T. H. Chang  “Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Autonomous Driving”, IEEE Wirelesss Commun. Lett., vol. 12, no. 6, pp. 1096-1100, Jun. 2023. (Available: ArXiv)

37. L. Zeng, D. Wen, G. Zhu, C. You, Q. Chen, Y. Shi, "Federated Learning with Energy Harvesting Devices", IEEE Trans. Green Commun. Netw., vol. 8, no. 1, pp. 190-204,  Mar. 2024.

38. J. Jiang, K. Han, Y. Du, G. Zhu, Z. Wang, S. Cui, "Optimized power control for over-the-air federated averaging with data privacy guarantee", accepted by IEEE Trans. Veh. Tech., Sept. 2022.

39. P. Liu, J. Jiang, G. Zhu*, L. Cheng, W. Jiang, W. Luo, Y. Du, and Z. Wang, "Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation", Frontiers of Information Technology & Electronic Engineering, vol. 23, no. 8, pp. 1247-1263, Aug. 2022. (Available: ArXiv) 

40. M. Zhang, G. Zhu*, S. Wang, J. Jiang, Q. Liao, C. Zhong, and S. Cui, “Communication-efficient federated edge learning via optimal probabilistic device scheduling”, IEEE Trans. Wireless Commun.,  vol. 21, no. 10, pp. 8536-8551, Oct. 2022. 

41. X. Li, S. Wang, G. Zhu, Z. Zhou, K. Huang, and Y. Gong, "Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence", IEEE Trans. Wireless Commun., vol. 21, no. 11, pp. 9127-9142, Nov. 2022. (Available: ArXiv) 

42. X. Li,  G. Zhu, K. Shen, K. Han, K. Huang, and Y. Gong, "Energy Efficient Wireless Crowd Labelling: Joint Annotator Clustering and Power Control", accepted by IEEE Trans. Wireless Commun. Sep. 2022.

43. X. Cao, G. Zhu, J. Xu, and S. Cui, “Transmission Power Control for Over-the-Air Federated Averaging at Network Edge”, IEEE J. Sel Area Commun., vol. 40, no. 5, pp. 1571-1586, May 2022. (Available: ArXiv) 

44. X. Cao, G. Zhu*, J. Xu, Z. Wang, and S. Cui, "Optimized Power Control Design for Over-the-Air Federated Edge Learning" IEEE J. Sel Area Commun., vol. 40, no. 1, pp. 342-358, Jan. 2022. (Available: ArXiv) 

45. Z. Zhang, G. Zhu, R. Wang, V. K. N. Lau, and K. Huang, "Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis", IEEE Trans. Wireless Commun.，vol. 21, no. 10, pp. 7926-7941. Oct. 2022 (Available: ArXiv)

46. C. Zhang, X. Yuan, Q. Zhang, G. Zhu, L. Cheng, and N. Zhang, "Towards Tailored Models on Private AIoT devices: Federated Direct Neural Architecture Search", accepted by IEEE IoT Journal, Mar. 2022.

47. G.Zhu and H. Li, "Integrating Communication and Computation for Communication-Efficient Edge Learning over Wireless Networks" ZTE Communications, vol. 26, no. 6, pp. 23-30, Aug. 2020. (Invited paper)

48. G. Zhu, Y. Du, D. Gunduz, K. Huang, "One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis", IEEE Trans. Wireless Commun., vol. 20, no. 3, Mar. 2021. (Available: ArXiv) ( ESI highly cited paper) [code]

49. X. Li, G. Zhu, K. Shen, W. Yu, Y. Gong, and K. Huang, “Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling”, IEEE Trans. Wireless Commun., vol. 19, no. 9, pp. 6116-6129, Sep. 2020. (Available: ArXiv)

50. D. Liu, G. Zhu, J. Zhang, and K. Huang, “Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning”,  IEEE Trans. Cogn. Commun. Netw., vol. 7, no. 1, pp. 265-278, Mar. 2021. (Available: ArXiv)

51. D. Liu, G. Zhu, Q. Zeng, J. Zhang, and K. Huang, "Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission", IEEE Trans. Wireless Commun., vol. 20, no. 1, pp. 406-420, Jan. 2021. (Available: ArXiv)

52. G. Zhu, Y. Wang K. Huang, "Broadband analog aggregation for low-latency federated edge learning", IEEE Trans. Wireless Commun., vol. 19, no. 1, pp. 491-506, Jan. 2020. (Available: ArXiv) (Top 20 Popular article in Trans. Wireless Commun，ESI highly cited paper，IEEE ComSoc Asia-Pacific Outstanding Paper Award)

AI for Communications

53. Q. Chen, Y. Yang, X. Xu, G. Zhu, J. Zhang, and  H. Jiang, "Exploiting Beam Split Effect on Wideband Beam Alignment: A Deep Unfolding Based Posterior Matching Approach", submitted to IEEE for possible publication. 

54. X. Li, S. Zhang, H. Li, X. Li, L. Xu, H. Xu, H. Mei, G. Zhu*, N. Qi, and M. Xiao, "RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks", submitted to IEEE for possible publication. （Available: ArXiv）

55. J. Liu, X. Tang, G. Zhu*, X. Cheng, L. Zhao, H. Li,  "Multi-Feature Traffic Prediction Based on Signaling Information for Cellular Network", IEEE Trans. Veh. Tech., vol. 73, no. 2, pp. 2280-2291, Feb. 2024.  

56. Y. Du, G. Zhu, J. Zhang and K. Huang, “Automatic recognition of space-time constellations by learning on the Grassmann manifold”, IEEE Trans. Signal Process., vol. 66, no. 22, pp. 6031--6046, Nov. 2018. (Available: ArXiv)

57. J. Zhang, G. Zhu, R. W. Heath, and K. Huang “Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning”, submitted to IEEE. 2018. (Available: ArXiv)

58. G. Zhu, S. W. Ko and K. Huang, "Inference from randomized transmissions by many backscatter sensors", IEEE Trans. Wireless Commun., vol. 17, no. 5, pp. 3111– 3127, May 2018. (Available: ArXiv)

Over-the-air Computation

-Survey/Toturial

59. G. Zhu*, J. Xu, K. Huang, and S. Cui "Over-the-Air Computing for Wireless Data Aggregation in Massive IoT", IEEE Wireless Commun. Magazine, vol. 28, no. 4, pp.57-65, Aug. 2021. (Available: ArXiv)

-Technical papers

60. X. Cao, G. Zhu, J. Xu, and K. Huang, "Cooperative Interference Management for Over-the-Air Computation Networks" IEEE Trans. Wireless Commun., vol. 20, no. 4, pp.  2634 - 2651, Apr. 2021. (Available: ArXiv)

61. X. Cao, G. Zhu, J. Xu, and K. Huang, “Optimized Power Control for Over-the-Air Computation in Fading Channels”, IEEE Trans. Wireless Commun., vol. 19, no. 11, pp.  7498-7513, Nov. 2020. (Available: ArXiv)

62. D. Wen, G. Zhu, K. Huang, "Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks", IEEE Trans. Wireless Commun., vol. 18, no. 11, pp. 5255 - 5268, Nov. 2019. (Available: ArXiv)

63. X. Li, G. Zhu, Y. Gong, and K. Huang, "Wirelessly Powered Data Aggregation for IoT via Over-the-Air Functional Computation: Beamforming and Power Control", IEEE Trans. Wireless Commun., vol. 18, no. 7, pp. 3437 - 3452, July 2019. (Available: ArXiv)

64. G. Zhu and K. Huang, "MIMO Over-the-Air Computation for High-Mobility Multi-Modal Sensing", IEEE IoT Journal, vol. 6, no. 4, pp. 6089 - 6103, Aug. 2019. (Available: ArXiv)

Other Topics in 5G/6G Communnications

65. J. Liu, F. Xu, G. Zhu, H. Li, L. Zhao, X. Tang, L. Xu, and G. Zhou,  "A Two-timescale Resource Allocation Method Based on Deep Reinforcement Learning for 6G Networks", submiited to IEEE for possible publication. 

66. X. Luo, Z. Jiang, F. Xu, X. Li, G. Zhu, K. Shen, "Channel Estimation for STAR-RIS-assisted Multi-user mmWave Wireless Systems", submitted to IEEE for possible publication, 2024. 

67. G. Zhu, Y. Li, Y. Chen, S. Chai, Q. Shi, Z. Luo, "Global Competitive Situation of 6G Key Technology R&D and China’s Countermeasures", Strategic Study of Chinese Academy of Engineering, vol. 25, no. 6, pp. 9-17, Jan. 2024. 

68. X. Luo, Z. Jiang, F. Xu, X. Li, G. Zhu, K. Shen, "Sum-Rate Maximization for STAR-RIS-Assisted Multi-User Networks with Hardware Impairments", accepted by IEEE Wireless Communications Letters, 2024.

69. Y. Lu, H. Liu, H. Li, G. Zhu, "Time series generation method basedon multi-discriminator generative adversarial network", Journal on Communications, vol. 43, no. 10, pp. 1-12, Oct. 2022.

70. G. Zhu, K. Huang, V. K. N. Lau, B. Xia, X. Li and S. Zhang, "Hybrid beamforming via the Kronecker decomposition for the millimeter-wave massive MIMO systems", IEEE J. Sel Area Commun., Vol. 35, no. 9, pp. 2097–2114, Sep. 2017. (Available: ArXiv)

71. G. Zhu and K. Huang, “Analog spatial cancellation for tackling the near-far problem in wirelessly powered communications”, IEEE J. Sel. Area Commun., vol. 34, no. 12, pp. 3566–3576, Dec 2016. (Available: ArXiv)   

72. K. Huang, C. Zhong and G. Zhu, “Some new research trends in wirelessly powered communication”, IEEE Wireless Commun., vol. 23, no. 2, pp. 19–27, Apr. 2016. (Available: ArXiv) (Top 5 Popular Article in IEEE Wireless Commun.)

73. G. Zhu, C. Zhong, H. A. Suraweera, G. K. Karagiannidis, Z. Zhang and T. A. Tsiftsis, "Wireless information and power transfer in relay systems with multiple antennas and interference," IEEE Trans. Commun., vol. 62, no. 4 , pp. 1400–1418, Apr. 2015. (Available: ArXiv) (ESI highly cited paper)

74. G. Zhu, C. Zhong, H. A. Suraweera, Z. Zhang, C. Yuen and R. Yin, “Ergodic capacity comparison of different relay precoding schemes in dual-hop AF systems with co-channel interference,” IEEE Trans. Commun. , vol. 62, no. 7, pp. 2314–2.328, July 2014. (Available: ArXiv)

75. G. Zhu, C. Zhong, H. A. Suraweera, Z. Zhang and C. Yuen, "Outage probability of dual-hop multiple antenna AF systems with linear processing in the presence of co-channel interference," IEEE Trans. Wireless Commun., Vol. 13, no. 4, pp. 2308–2321, Apr. 2014. (Available: ArXiv)

Conference Paper:

1. Z. Cai, X. Cao, Z. Zhang, Q. Chen, H. Li, X. Li, K. Han, Y. Cui, G. Zhu, "Integrated Sensing and Learning for Better Generalized Edge AI", in proceeding of IEEE International Symposium on Joint Communications & Sensing (JC&S 2024), Leuven, Belgium. (Best paper award)

2. Z. Lyu, G. Zhu, J. Xu, B. Ai, S. Cui, "Semantic Communications for Joint Image Recovery and Classification"  in proceeding of IEEE Global Communication Conference (GC 2023), Kuala Lumpur, Malaysia. 

3. H. Cheng, Q. Chen, Y. Liang, and G. Zhu, "TinyFL: A Lightweight Federated Learning Method With Efficient Memory-and-Communication"  in proceeding of IEEE Global Communication Conference (GC 2023), Kuala Lumpur, Malaysia. 

4. M. Zhang, Z. Cai, D. Liu, G. Zhu, R. Jin, and C. Zhong, "Joint Compression and Deadline Optimization for Wireless Federated Learning" in proceeding of IEEE Global Communication Conference (GC 2023), Kuala Lumpur, Malaysia. 

5. Z. Cai, Y. Li, M. Xu, X. Li, H. Li, G. Zhu, "PoseFlow: Temporal Correlation Enhanced Vision-aided Wi-Fi Person Perception", IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2023), Toronto, Canada. (Invited Paper)

6. B. Zhang, D. Liu, O. Simeone, and G. Zhu, "Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics",  in proceeding of IEEE Global Communication Conference (GC 2023), Kuala Lumpur, Malaysia. 

7. Z. Cai, T. Chen, F. Zhou, Y. Cui, H. Li, X. Li, G. Zhu*, and Q. Shi, "FallDeWideo: Vision-Aided Wireless Sensing Dataset for Fall Detection with Commodity Wi-Fi Devices" in proceeding of ACM Annual International Conference On Mobile Computing And Networking (MobiCom 2023), Madrid, Spain.

8. F. Zhou, G. Zhu, X. Li, H. Li, and Q. Shi, "Towards Pervasive Sensing: A Multimodal Approach via CSI and RGB Image Modalities Fusion",  in proceeding of ACM Annual International Conference On Mobile Computing And Networking (MobiCom 2023), Madrid, Spain.

9. Y. Liang, Q. Chen, G. Zhu, and H. Jiang, "Theoretical Analysis and Performance Evaluation for Federated Edge Learning with Integrated Sensing, Communication and Computation",  in proceeding of IEEE International Conference on Communication (ICC 2023), Rome, Italy.

10. P. Liu, G. Zhu*, S. Wang, M. Wen, W. Luo, H. V. Poor, and S. Cui, " Federated edge learning via integrated sensing, computation, and communication".   in proceeding of IEEE International Conference on Communication (ICC 2023), Rome, Italy.

11. D. Wen, P. Liu, G. Zhu*, Y. Shi, J. Xu, Y. C. Eldar, and S. Cui, "Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI ",  in proceeding of IEEE International Conference on Communication (ICC 2023), Rome, Italy.

12. D. Wen, X. Jiao, P. Liu, G. Zhu*, Y. Shi, K. Huang, "Task-Oriented Over-the-Air Computation for Multi-Device Edge AI", in proceeding of IEEE Wireless Communications and Networking Conference  (WCNC 2023), Glasgow, Scotland, UK.

13. X. Wang, J. Wang, H. Li, X. Li, C. Shen, G. Zhu, "UKFWiTr: A Single-link Indoor Tracking Method Based on WiFi CSI", in proceeding of IEEE Wireless Communications and Networking Conference  (WCNC 2023), Glasgow, Scotland, UK.

14. W. Kou, S. Wang, G. Zhu, B. Luo, Y. Chen, D. W. K. Ng, and Y.-C. Wu, "Communication resources constrained hierarchical federated learning for end-to-end autonomous driving," in Proc. International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, Michigan, USA., Oct. 2023.

15. Y. Chen, G. Zhu, and J. Xu, "Over-the-Air Computation with Imperfect Channel State Information", in proceeding of IEEE International Workshop on Signal Processing Advances in Wireless Communication (SPAWC 2022), Oulu, Finland.  

16. X. Li, F. Liu, Z. Zhou, G. Zhu, S. Wang, K. Huang, and Y. Gong, "Integrated Sensing and Over-the-Air Computation: Dual-Functional MIMO Beamforming Design", in proceeding of IEEE International Conference on 6G Networking (6GNet 2022), Paris, France. 

17. P. Liu, J. Jiang, G. Zhu, L. Cheng, W. Jiang, W. Luo, Y. Du, and Z. Wang, "Training Time Minimization in Quantized Federated Edge Learning under Bandwidth Constraint", in proceeding of IEEE Wireless Communications and Networking Conference  (WCNC 2022), Austin, TX, USA. 

18. X. Li, S. Wang, G. Zhu, Z. Zhou, K. Huang, Y. Gong, "Learning and Energy Efficient Edge Intelligence: Data Partition and Rate Control", in proceeding of IEEE International Conference on Communication (ICC 2022), Seoul, South Korea. 

19. Z. Lv, G. Zhu, J. Xu, "Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication", in proceeding of IEEE International Conference on Communication (ICC 2022), Seoul, South Korea. 

20. T. Zhang, S. Wang, G. Li, F. Liu, G. Zhu, Rui Wang, “Accelerating Edge Intelligence via Integrated Sensing and Communication,” in proceeding of IEEE International Conference on Communication (ICC 2022), Seoul, South Korea. (Available: ArXiv)

21. X. Li, G. Zhu, K. Han, Y. Gong, K. Huang, “Joint Annotator Clustering and Power Control for Energy-Efficient Wireless Crowd Labelling”, in proceeding of IEEE Global Communication Conference (GC 2021), Madrid, Spain. 

22. Z. Wang, K. Han, J. Jiang, Z. Wei, G. Zhu, C. Meng, G. Wang, and Z. Feng “Symbiotic Sensing and Communications Towards 6G: Vision, Applications, and Technology Trends”, in proceeding of IEEE Conference on Vehicular Technology (VTC 2021-Fall), Virtual Conference. (Available: ArXiv)

23. M. Zhang, G. Zhu*, S. Wang, J. Jiang, C. Zhong, S. Cui, "Accelerating federated learning via optimized probabilistic device scheduling" in proceeding of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2021), Lucca, Tuscany. (Invited Paper)

24. X. Cao, G. Zhu*, J. Xu, and S. Cui, "Optimized power control for over-the-air federated edge learning" in proceeding of IEEE International Conference on Communications (ICC 2021), Montreal, Canada.

25. G. Zhu, Y. Du, D. Gunduz, and K. Huang, "One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning", in proceeding of IEEE Global Communications Conference (GC 2020), Taiwan. 

26. D. Liu, G. Zhu, J. Zhang and K. Huang, "Exploiting Diversity Via Importance-Aware User Scheduling For Fast Edge Learning", in Proceeding of IEEE International Conference on Communications (ICC 2020), Dublin, Ireland.

27. X. Li, G. Zhu, K. Shen, Y. Gong, and K.. Huang, "Spectrum Allocation in Wireless Networks for Crowd Labelling", in Proceeding of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain. (Invited Paper)

28. X. Cao, G. Zhu, J. Xu, and K. Huang, "Optimal Power Control for Over-the-Air Computation", in Proceeding of IEEE Global Communications Conference (GC 2019), Waikoloa, USA.

29. D. Wen, G. Zhu, and K. Huang, "Reduced-Dimension Design of MIMO AirComp for Data Aggregation in Clustered IoT Networks", in Proceeding of IEEE Global Communications Conference (GC 2019), Waikoloa, USA.

30. D. Liu, G. Zhu, J. Zhang, and K. Huang, "Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission," in Proceeding of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019), Cannes, France. (Invited Paper)

31. K. Huang, G. Zhu, C. You, J. Zhang, Y, Du, and D. Liu, "Communication, Computing, and Learning on the Edge”, in Proceeding of IEEE International Conference on Communication Systems (ICCS 2018), Chengdu, China. (Invited paper).

32. X. Li, G. Zhu, Y. Gong, and K. Huang, "Wirelessly Powered Over-the-Air Computation for High-Mobility Sensing", in Proceeding of IEEE Global Communications Conference (GC 2018), Abu Dhabi, UAE.

33. Y. Du, G. Zhu, J. Zhang and K. Huang, “Automatic recognition of space-time constel- lations by learning on the Grassmann manifold”, in Proceeding of IEEE Global Communications Conference (GC 2018), Abu Dhabi, UAE. 

34. G. Zhu, L. Chen and K. Huang, “MIMO over-the-air computation: beamforming optimization on the Grassmann manifold”, in Proceeding of IEEE Global Communications Conference (GC 2018), Abu Dhabi, UAE. 

35. G. Zhu, S. W. Ko and K. Huang, “Backscatter sensing by inference from randomized transmissions ” in Proceedings of IEEE International Conference on Communications (ICC 2018), Kansas City, USA. 

36. G Zhu, K Huang, VKN Lau, B Xia, X Li and S Zhang, “Beamforming via Kronecker decomposition for interference cancellation in the analog domain” in Proceedings of IEEE Global Communications Conference (GC 2017), Singapore.  

37. G Zhu, K Huang, VKN Lau, B Xia, X Li and S Zhang, “Hybrid interference cancellation in millimeter-wave MIMO systems” in Proceedings of International Conference on Communication Systems (ICCS 2016), Shenzhen, China. (Invited paper).

38. G. Zhu and K. Huang, “Analog spatial decoupling for tackling the near-far problem in wirelessly powered communications,” in Proceedings of IEEE International Conference on Communications (ICC 2016), Kuala Lumpur, Malaysia. 

39. G. Zhu, C. Zhong, H. A. Suraweera, G. K. Karagiannidis, Z. Zhang and T. A. Tsiftsis, “Wireless powered dual-hop multiple antenna relay transmission in the presence of interference,” in Proceedings of IEEE International Conference on Communications (ICC 2015), London, UK.  

40. G. Zhu, C. Zhong, H. A. Suraweera, Z. Zhang and C. Yuen, “Linear processing for dual-hop AF relay systems with interference: outage probability analysis,” in Proceedings of IEEE International Conference on Communications (ICC 2014), Sydney, Australia. 

41. G. Zhu, C. Zhong, H. A. Suraweera, Z. Zhang and C. Yuen, “Ergodic capacity analysis of dual-hop ZF/MRT relaying systems with co-channel interference,” in Proceedings of International Conference on Wireless Communications and Signal Processing (WCSP 2013), Hangzhou, China. (Best Paper Award)