has been accepted by IEEE Trans. Wireless Commun.Book Chapter:
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
H. Chen, H. Chen, Z. Zhao, K. Han, G. Zhu*, Y. Zhao, Y. Du, W. Xu, Q. Shi "An overview of domain-specific foundation model: key technologies, applications and challenges", accepted by Science China Information Science. 2025.
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
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", accepted by IEEE Transactions on Intelligent Transportation Systems.
W. Kou, G. Zhu, R. Ye, S. Wang, Q. Lin, Z. Ren, M. Tang, and Y. C. Wu, "Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions", submitted to IEEE for possible publication, 2024.
W. Kou, Q. Lin, M. Tang, R. Ye, S. Wang, G. Zhu*, Y. C. Wu, "Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving" IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 7, Jul. 2025.
Y. Li, R. Kong, Z. Lyu, Q. Li, X. Chen, H. Cai, S. Wang, J. Zhao, G. Zhu, L. Kong, G. Chen, H. Xiong, D. Yin "FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding" submitted to IEEE for possible publication, 2025.
Task-oriented Sensing-Computation-Communications Integration
-Survey/Toturial
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）(ESI Highly cited paper)
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
X. Cao, D. Wen, S. Bi, Y. Cui, G. Zhu, H. Hu, Y. Eldar, "Joint Sensing, Communication, and Computation for Vertical Federated Edge Learning in Edge Perception Networks" has been submitted to IEEE for possible publication.
D. Wen, S. Zhang, G. Zhu, Y. Liu, Y. Shi, and H. Hu, "UAV-Assisted Edge Inference with Integrated Sensing, Communication, and Computation" submitted to IEEE for possible publication, 2025.
Z. Cai, X. Cao, X. Chen, Y. Cui, G. Zhu*, K. Huang, and S. Cui, "AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence" submitted to IEEE for possible publication, 2025.
X. Jiao, G. Zhu, W. Jiang, L. Chen, W. Luo, D. Wen, "Sensing-Communication-Computation Integration for Federated Edge Learning with Controllable Model Dropout", accepted by IEEE IoT Journal, 2025.
Y. Liang, Q. Chen, R. Li, G. Zhu, M. K. Awan, and H. Jiang, "Communication-and-Computation Efficient Split Federated Learning in Wireless Networks: Gradient Aggregation and Resource Management", accepted by IEEE Trans. Wireless Commun., 2025.
Y. Liang, Q. Chen, D. Wen, G. Zhu, M. K. Awan, M. Zhao, and H. Jiang, "Federated Learning with Integrated Sensing, Communication, and Computation: FedSGD-ISCC or FedAVG-ISCC" submitted to IEEE for possible publication, 2025.
Z. Zhou, X. Li, G. Zhu, B. Zhou, H. Xing, and K. Huang, "Integrated Sensing-Communication-Computation Design for Energy Efficient Data Processing" accepted by IEEE Transactions on Network Science and Engineering, 2025.
Z. Han, X. Li, G. Zhu, K. Huang, Y. Gong, and Q. Zhang, "An Energy-Efficient Wireless Communication and Control Co-design for WNCS" accepted by IEEE Trans. Wireless Commun., 2025.
Z. Zhou, X. Li, G. Zhu, B. Zhou, H. Xing, and K. Huang, "Integrated Sensing-Communication-Computation Design for Energy Efficient Data Processing" submitted to IEEE for possible publication, 2024.
J. Yao, W. Xu, G. Zhu, K. Huang, and S. Cui, "Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks" accepted by IEEE J. Sel. Area Commun. 2025.
D. Wang, D. Wen, Y. He, Q. Chen, G. Zhu, and G. Yu, "Joint Device Scheduling and Resource Allocation for ISCC-Based Multi-View-Multi-Task Inference", IEEE IoT Journal, vol. 11, no. 24, pp. 40814-40830, Dec. 2024.
S. Liu, D. Wen, D. Li, Q. Chen, G. Zhu, Y. Shi, "Energy-Efficient Optimal Mode Selection for Edge AI Inference via Integrated Sensing-Communication-Computation" IEEE Trans. Mobile Compt., vol. 23, no. 12, pp. 14248-14262, Dec. 2024.
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", accepted by IEEE Trans. Wireless Commun., 2024. (Available: ArXiv)
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.
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", IEEE Trans. Veh. Tech., vol. 73, no. 11, pp. 17811-17823, Nov. 2024.
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). (ESI Highly cited paper)
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) (ESI Highly cited paper).
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）.
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.
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 and Low-Altitude Economy
-Survey/Toturial
Y. Jiang, X. Li, G. Zhu, C. You, X. Cao, D. Wen, B. Zhou, X. Wang, and R. Zhang "Performance Analysis for Heterogeneous Air-Ground ISAC in Coordinated Multipoint Networks" submitted to IEEE for possible publication.
Y. Cui, X. Cao, G. Zhu, J. Nie, and J. Xu, "Edge Perception: Intelligent Wireless Sensing at Network Edge", accepted by IEEE Communications Magazine, 2024.
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)
Y. Jiang, X. Li, G. Zhu, H. Li, J. Deng, and Q. Shi, "Integrated Sensing and Communication for Low-Altitude Economy: Opportunities and Challenges", accepted by IEEE Communication Magazine, 2025. (Available: ArXiv)
-Technical papers
Y. Tang, G. Zhu, C. Shen, T. Chan, T. Lok, "Multi-View Edge Inference in Low-Altitude Airspace: Joint UAV Deployment and Model Architecture Optimization" submitted to IEEE for possible publication.
J. Luo, Z. Fei, X. Wang, L. Zhao, Y. Cui, G. Zhu, D. Niyato, "Robust Trajectory Design for UAV-Based Low-Altitude Wireless Networks in Unknown Environments: A Digital Twin-Assisted TD3 Approach" submitted to IEEE for possible publication, 2025.
Z. Zhao, F. Meng, Z. Lyu, H. Li, X. Li, G. Zhu*, "CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing" accepted by IEEE Transactions on Mobile Computing, 2025.
X. Li, Z. Cai, N. Qi, C. Dong, G. Zhu*, H. Ma, Q. Wu, S. Jin, "A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction" accepted by IEEE Transactions on Mobile Computing, 2025.
Y. Jiang, X. Li, G. Zhu, K. Han, B. Zhou and X. Wang, "Area Radar Detection Coverage Probability Analysis in Air-Ground ISAC Networks for LAE", submitted to IEEE for possible publication, 2025.
X. Cao, P. Jiang, G. Zhu, Y. He, and M. Guizani, "Joint Antenna Position and Beamforming Optimization for Movable Antenna Enabled Secure IRS-ISAC Network" accepted by IEEE Transactions on Network Science and Engineering. 2025.
Z. Zhao, Z. Cai, T. Chen, X. Li, H. Li, Q. Chen, and G. Zhu*, "KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment", accepted by IEEE Transactions on Mobile Computing, 2025.
B. Zhou, H. Chen, Q. Xue, G. Zhu, Y. Xiao, and Q. Shi "Multipath Information Fusion-Boosted Vehicle State Detection, Reflector Positioning and Channel Estimation for 6G ISAC Systems", has been accepted by IEEE Trans. Wireless Commun. 2025.
Z. Zhao, T. Chen, Z. Cai, X. Li, H. Li, Q. Chen, and G. Zhu* "CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network", accepted by IEEE IoT Journal, 2025.
Y. Jiang, X. Li, G. Zhu, K. Han, K. Meng, C. Liu, W. Yang, Q. Shi, and R. Zhang, "Network-Level Performance Analysis for Air-Ground Integrated Sensing and Communication", accepted by IEEE Trans. Wireless Commun., 2025.
X. Li, K. Han, and G. Zhu*, "A Real-World Data-Based Network Coverage Prediction and Optimization for Integrated Sensing and Communications", ZTE Communications, vol. 30, no. 4, pp. 57-64, Aug. 2024.
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
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)
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)
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)
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.
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.
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
M. Zhang, G. Zhu*, X. Chen, K. Huang, Z. Zhang, "Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising" submitted for possible publication.
M. Zhang, H. Wu, G. Zhu*, R. Jin, X. Chen, and D. Gunduz "Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission" accepted by IEEE Trans. Wireless Commun., 2025.
M. Zhang, G. Zhu*, R. Jin, X. Chen, Q. Shi, C. Zhong, K. Huang,"Beamforming Design for Semantic-Bit Coexisting Communication System" IEEE J. Sel. Area Commun., vol. 43, no. 4, pp. 1262-1277, April 2025. (Available: ArXiv) （List as Best Readings in Semantic Communications）
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" IEEE Trans. Wireless Commun., vol. 23, no. 8, pp.8388-8404, Aug. 2024. (Available: ArXiv)
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
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)
X. Cao, Z. Lyu, G. Zhu*, J. Xu, X. Le, S. Cui "An Overview on Over-the-Air Federated Edge Learning", IEEE Wireless Commun. Magazine, vol. 31, no. 3, pp. 202-210, Jun. 2024. （Available: ArXiv）
-Technical papers
Z. Cai, Y. Zheng, H. Chen, D. Liu, B. Wang, and G. Zhu*, "Three Birds, One Stone: Solving the Communication-Memory-Privacy Trilemma in LLM Fine-tuning Over Wireless Networks with Zeroth-Order Optimization" submitted to IEEE for possible publication, 2025.
Z. Yan, G. Zhu, Y. Tang, H. Pan, N. Pappas, and T. Chan, "Decentralized Federated Learning for Model Fine-Tuning on LEO Satellite Networks: System Design and Number Control" submitted to IEEE for possible publication, 2025.
Q. Chen, Z. Wang, X. Zhang, D. Wen, G. Zhu, M. K. Awan "Adaptive Model Slimming for Communication and Computation Efficient Federated Edge Learning Under Non-IID Data Distribution" submitted to IEEE for possible publication, 2025.
Y. Liang, Q. Chen, G. Zhu, H. Jiang, Y. Eldar, and S. Cui, "Communication-and-Energy Efficient Over-the-Air Federated Learning", IEEE Trans. Wireless Commun., vol. 24, no. 1, pp. 767-782, Jan. 2025.
J. Yao, W. Xu, G. Zhu, Z. Yang, K. Huang, and D. Niyato, "Over-the-Air Multi-task Federated Learning via Cost-Effective Hybrid Beamforming", accepted by IEEE Trans. Signal Process., 2025.
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" accepted by IEEE Trans. Wireless Commun., 2025.
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", IEEE IoT Journal., 2024.
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" IEEE Trans. Wireless Commun., vol. 24, no. 2, pp.1584-1601, Feb. 2025（Available:ArXiv）
P. Zhang, D. Wen, G. Zhu, Q. Chen, K. Han, Y. Shi, "Collaborative Edge AI Inference over Cloud-RAN", IEEE Trans. Commun., vol. 72, no. 9, pp. 5641-5656, sep. 2024.
Z. Jiang, D. Wen, S. Liu, G. Zhu, and G. Yu, "Partitioned Edge Learning over Fast Fading Channels", has been accepted by IEEE Trans. Veh. Tech, 2024.
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)
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)
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.
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.
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)
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.
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)
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.
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)
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)
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)
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.
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)
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]
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)
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)
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)
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
L. Zhang, G. Zhu*, D. Wei, Y. Hu, Y. Jia, and D. Niyato, "Beam, Reuse, or Time Slice? A Model and Data Driven Optimization Framework for Wi-Fi 8 Tri-Mode Selection" submiited to IEEE for possible publication.
Q. Li, H. Chen, J. Li, S. Chai, X. Li, Y. Hou, X. Shao, F. Li, K. Han, G. Zhu* “DK-Root: A Joint Data-and-Knowledge-Driven Framework for Root Cause Analysis of QoE Degradations in Mobile Networks” submiited to IEEE for possible publication.
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.
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", accepted by IEEE J. Sel. Area Commun.
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", IEEE Trans. Wireless Commun., vol. 23, no. 11, pp. 17777 - 17792, Nov. 2024. （Available: ArXiv）
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.
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)
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)
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
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
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)
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)
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)
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)
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
S. Gao, X. Zhao, F. Xu, G. Zhu, L. Qiu and Q. Shi "A Low-Dimensional Subspace Structure for Beamforming Design with Ergodic Rate Maximization", submitted to IEEE for possible publication.
M. Chen; L. Yang; J. Cao; G. Zhu; W. Yuan; H. Jiang; and D. Niyato, "Cargo UAVs Pick-up Systems for Low-Altitude Economy With Communication Quality, Battery Energy, and Time Window Constraints" accepted by IEEE Transactions on Mobile Computing.
T. Sun, G. Zhu, X. Li, J. Fan, M. Xia, "Low-Complexity Hybrid Beamforming for Multi-Cell mmWave Massive MIMO: A Primitive Kronecker Decomposition Approach" accepted by Signal Processing, 2025.
X. Luo, Z. Jiang, F. Xu, X. Li, G. Zhu, K. Shen, "Channel Estimation for STAR-RIS-assisted Multi-user mmWave Wireless Systems", accepted by IEEE Wireless Communications Letters, vol. 14, no. 1, pp. 203-207, Jan. 2025.
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.
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", IEEE Wireless Communications Letters, vol. 13, no. 5, May 2024.
Y. Lu, H. Liu, H. Li, G. Zhu, "Time series generation method based on multi-discriminator generative adversarial network", Journal on Communications, vol. 43, no. 10, pp. 1-12, Oct. 2022.
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)
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)
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.)
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)
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)
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:
Z. Zhao, T. Chen, F. Meng, Z. Cai, H. Li, X. Li, and G. Zhu*, "LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking" accepted by IEEE Globecom 2025.
T Chen, Y Wang, H Chen, Z Zhao, X Li, N Piovesan, G Zhu*, and Q Shi, "Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need", accepted by IEEE Globecom 2025.
J. Yao, G. Zhu, W. Xu, W. Shi, "Integrated Sensing, Communication, and Computation Design for Secure Edge Inference" submitted to IEEE for possible publication.
B. Zhang, D. Liu, O. Simeone, G. Wang, D. Pezaros, and G. Zhu, "Personalizing Low-rank Bayesian Neural Networks Via Federated Learning", in Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS 2025), Thailand, 2025.
M. Zhang, G. Zhu*, K. Han, R. Jin, X. Chen "Semantics Guided Diffusion for Deep Joint Source and Channel Coding Design" in Proceedings of International Conference on Wireless Communications and Signal Processing (WCSP 2024), Hefei, China.
W. Kou, G. Zhu, R. Ye, S. Wang, Q. Lin, M. Tang, Y. C. Wu, "An Adverse Weather-Immune Scheme with Unfolded Regularization and Knowledge Distillation for Street Scene Understanding", submitted to ICRA for possible publication, 2024.
W. Kou, G. Zhu, R. Ye, S. Wang, M. Tang, and Y. C. Wu "Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator" in proceeding of IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, 2025.
W. Kou, Q. Lin, M. Tang, S. Wang, R. Ye, Y. Leng, G. Zhu*,, and Y. C. Wu, "Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory" submitted to ICRA for possible publication, 2024.
J. Chen, S. Wang, G. Zhu*, and C. Xu, "Scene-Aware Hierarchical Planning by Opportunistic Large Model Querying for Autonomous Driving", submitted to ICRA for possible publication, 2024.
W. Kou, Q. Lin, M. Tang, S. Wang, G. Zhu*, and Y. C. Wu, "FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding" in Proc. International Conference on Intelligent Robots and Systems (IROS 2024), Abu Dhabi, Oct. 2024.
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)
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.
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.
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.
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)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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)
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.
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)
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)
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.
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.
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.
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)
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.
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.
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)
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).
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.
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.
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.
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.
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.
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).
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.
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.
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.
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)