Ergodic capacity analysis of dual-hop ZF/MRT relaying systems with co-channel interference. - Guangxu Zhu; Caijun Zhong; Himal A. Suraweera; Zhaoyang Zhang 001; Chau Yuen (WCSP, 2013)

Linear processing for dual-hop AF relay systems with interference: Outage probability analysis. - Guangxu Zhu; Caijun Zhong; Himal A. Suraweera; Zhaoyang Zhang 001; Chau Yuen (ICC, 2014)

Ergodic Capacity Comparison of Different Relay Precoding Schemes in Dual-Hop AF Systems With Co-Channel Interference. - Guangxu Zhu; Caijun Zhong; Himal A. Suraweera; Zhaoyang Zhang 001; Chau Yuen; Rui Yin 001 (IEEE Trans. Commun., 2014)

Outage Probability of Dual-Hop Multiple Antenna AF Systems with Linear Processing in the Presence of Co-Channel Interference. - Guangxu Zhu; Caijun Zhong; Himal A. Suraweera; Zhaoyang Zhang 001; Chau Yuen (IEEE Trans. Wirel. Commun., 2014)

Wireless powered dual-hop multiple antenna relay transmission in the presence of interference. - Guangxu Zhu; Caijun Zhong; Himal A. Suraweera; George K. Karagiannidis; Zhaoyang Zhang 001; Theodoros A. Tsiftsis (ICC, 2015)

Some New Trends in Wirelessly Powered Communications. - Kaibin Huang; Caijun Zhong; Guangxu Zhu (CoRR, 2015)

Analog Spatial Cancellation for Tackling the Near-Far Problem in Wirelessly Powered Communications (Extended Version). - Guangxu Zhu; Kaibin Huang (CoRR, 2015)

Wireless Information and Power Transfer in Relay Systems With Multiple Antennas and Interference. - Guangxu Zhu; Caijun Zhong; Himal A. Suraweera; George K. Karagiannidis; Zhaoyang Zhang 001; Theodoros A. Tsiftsis (IEEE Trans. Commun., 2015)

Analog spatial decoupling for tackling the near-far problem in wirelessly powered communications. - Guangxu Zhu; Kaibin Huang (ICC, 2016)

Hybrid interference cancellation in millimeter-wave MIMO systems. - Guangxu Zhu; Kaibin Huang; Vincent K. N. Lau; Bin Xia 001; Xiaofan Li 001; Sha Zhang (ICCS, 2016)

Analog Spatial Cancellation for Tackling the Near-Far Problem in Wirelessly Powered Communications. - Guangxu Zhu; Kaibin Huang (IEEE J. Sel. Areas Commun., 2016)

Some new research trends in wirelessly powered communications. - Kaibin Huang; Caijun Zhong; Guangxu Zhu (IEEE Wirel. Commun., 2016)

Beamforming via Kronecker Decomposition for Interference Cancellation in the Analog Domain. - Guangxu Zhu; Kaibin Huang; Vincent K. N. Lau; Bin Xia 001; Xiaofan Li 001; Sha Zhang (GLOBECOM, 2017)

Hybrid Beamforming via the Kronecker Decomposition for the Millimeter-Wave Massive MIMO Systems. - Guangxu Zhu; Kaibin Huang; Vincent K. N. Lau; Bin Xia 001; Xiaofan Li 001; Sha Zhang (IEEE J. Sel. Areas Commun., 2017)

Wirelessly Powered Over-the-Air Computation for High-Mobility Sensing. - Xiaoyang Li 002; Guangxu Zhu; Yi Gong 001; Kaibin Huang (GLOBECOM Workshops, 2018)

MIMO Over-the-Air Computation: Beamforming Optimization on the Grassmann Manifold. - Guangxu Zhu; Li Chen 015; Kaibin Huang (GLOBECOM, 2018)

Backscatter Sensing by Inference from Randomized Transmissions. - Guangxu Zhu; Seung-Woo Ko 001; Kaibin Huang (ICC Workshops, 2018)

Communication, Computing, and Learning on the Edge. - Kaibin Huang; Guangxu Zhu; Changsheng You; Jun Zhang 004; Yuqing Du; Dongzhu Liu (ICCS, 2018)

Over-the-Air Computation in MIMO Multi-Access Channels: Beamforming and Channel Feedback. - Guangxu Zhu; Li Chen 015; Kaibin Huang (CoRR, 2018)

Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version). - Yuqing Du; Guangxu Zhu; Jiayao Zhang 001; Kaibin Huang (CoRR, 2018)

Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning. - Jiayao Zhang 001; Guangxu Zhu; Robert W. Heath Jr.; Kaibin Huang (CoRR, 2018)

Wirelessly Powered Data Aggregation for IoT via Over-the-Air Functional Computation: Beamforming and Power Control. - Xiaoyang Li 002; Guangxu Zhu; Yi Gong 001; Kaibin Huang (CoRR, 2018)

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. - Guangxu Zhu; Dongzhu Liu; Yuqing Du; Changsheng You; Jun Zhang 004; Kaibin Huang (CoRR, 2018)

Low-Latency Broadband Analog Aggregation for Federated Edge Learning. - Guangxu Zhu; Yong Wang; Kaibin Huang (CoRR, 2018)

Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. - Yuqing Du; Guangxu Zhu; Jiayao Zhang 001; Kaibin Huang (IEEE Trans. Signal Process., 2018)

Inference From Randomized Transmissions by Many Backscatter Sensors. - Guangxu Zhu; Seung-Woo Ko 001; Kaibin Huang (IEEE Trans. Wirel. Commun., 2018)

Optimal Power Control for Over-the-Air Computation. - Xiaowen Cao; Guangxu Zhu; Jie Xu 002; Kaibin Huang (GLOBECOM, 2019)

Reduced-Dimension Design of MIMO AirComp for Data Aggregation in Clustered IoT Networks. - Dingzhu Wen; Guangxu Zhu; Kaibin Huang (GLOBECOM, 2019)

Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission. - Dongzhu Liu; Guangxu Zhu; Jun Zhang 004; Kaibin Huang (SPAWC, 2019)

Optimal Power Control for Over-the-Air Computation in Fading Channels. - Xiaowen Cao; Guangxu Zhu; Jie Xu 002; Kaibin Huang (CoRR, 2019)

Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling. - Xiaoyang Li 002; Guangxu Zhu; Kaiming Shen; Wei Yu 001; Yi Gong 001; Kaibin Huang (CoRR, 2019)

MIMO Over-the-Air Computation for High-Mobility Multimodal Sensing. - Guangxu Zhu; Kaibin Huang (IEEE Internet Things J., 2019)

Wirelessly Powered Data Aggregation for IoT via Over-the-Air Function Computation: Beamforming and Power Control. - Xiaoyang Li 002; Guangxu Zhu; Yi Gong 001; Kaibin Huang (IEEE Trans. Wirel. Commun., 2019)

Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks. - Dingzhu Wen; Guangxu Zhu; Kaibin Huang (IEEE Trans. Wirel. Commun., 2019)

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning. - Guangxu Zhu; Yuqing Du; Deniz Gündüz; Kaibin Huang (GLOBECOM, 2020)

Spectrum Allocation in Wireless Networks for Crowd Labelling. - Xiaoyang Li 002; Guangxu Zhu; Kaiming Shen; Yi Gong 001; Kaibin Huang (ICASSP, 2020)

Exploiting Diversity Via Importance-Aware User Scheduling for Fast Edge Learning. - Dongzhu Liu; Guangxu Zhu; Jun Zhang 004; Kaibin Huang (ICC Workshops, 2020)

Toward an Intelligent Edge: Wireless Communication Meets Machine Learning. - Guangxu Zhu; Dongzhu Liu; Yuqing Du; Changsheng You; Jun Zhang 004; Kaibin Huang (IEEE Commun. Mag., 2020)

Over-the-Air Computing for 6G - Turning Air into a Computer. - Guangxu Zhu; Jie Xu 002; Kaibin Huang (CoRR, 2020)

Optimized Power Control for Over-the-Air Computation in Fading Channels. - Xiaowen Cao; Guangxu Zhu; Jie Xu 002; Kaibin Huang (IEEE Trans. Wirel. Commun., 2020)

Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labeling. - Xiaoyang Li 002; Guangxu Zhu; Kaiming Shen; Wei Yu 001; Yi Gong 001; Kaibin Huang (IEEE Trans. Wirel. Commun., 2020)

Broadband Analog Aggregation for Low-Latency Federated Edge Learning. - Guangxu Zhu; Yong Wang; Kaibin Huang (IEEE Trans. Wirel. Commun., 2020)

Joint Annotator Clustering and Power Control for Energy-Efficient Wireless Crowd Labelling. - Xiaoyang Li 002; Guangxu Zhu; Kaifeng Han; Yi Gong 001; Kaibin Huang (GLOBECOM (Workshops), 2021)

Optimized Power Control for Over-the-Air Federated Edge Learning. - Xiaowen Cao; Guangxu Zhu; Jie Xu 002; Shuguang Cui (ICC, 2021)

Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling. - Maojun Zhang; Guangxu Zhu; Shuai Wang 004; Jiamo Jiang; Caijun Zhong; Shuguang Cui (SPAWC, 2021)

Privacy-Preserving Neural Architecture Search Across Federated IoT Devices. - Chunhui Zhang; Xiaoming Yuan 002; Qianyun Zhang 001; Guangxu Zhu; Lei Cheng 003; Ning Zhang 007 (TrustCom, 2021)

Symbiotic Sensing and Communications Towards 6G: Vision, Applications, and Technology Trends. - Zhiqin Wang; Kaifeng Han; Jiamo Jiang; Zhiqing Wei; Guangxu Zhu; Zhiyong Feng 001; Jianmin Lu; Chunwei Meng (VTC Fall, 2021)

Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. - Dongzhu Liu; Guangxu Zhu; Jun Zhang 004; Kaibin Huang (IEEE Trans. Cogn. Commun. Netw., 2021)

Cooperative Interference Management for Over-the-Air Computation Networks. - Xiaowen Cao; Guangxu Zhu; Jie Xu 002; Kaibin Huang (IEEE Trans. Wirel. Commun., 2021)

Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission. - Dongzhu Liu; Guangxu Zhu; Qunsong Zeng; Jun Zhang 004; Kaibin Huang (IEEE Trans. Wirel. Commun., 2021)

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis. - Guangxu Zhu; Yuqing Du; Deniz Gündüz; Kaibin Huang (IEEE Trans. Wirel. Commun., 2021)

Over-the-Air Computing for Wireless Data Aggregation in Massive IoT. - Guangxu Zhu; Jie Xu 002; Kaibin Huang; Shuguang Cui (IEEE Wirel. Commun., 2021)

Integrated Sensing and Over-the-Air Computation: Dual-Functional MIMO Beamforming Design. - Xiaoyang Li 002; Fan Liu 005; Ziqin Zhou; Guangxu Zhu; Shuai Wang 004; Kaibin Huang; Yi Gong 001 (6GNet, 2022)

Joint Bandwidth Allocation, Computation Control, and Device Scheduling for Federated Learning with Energy Harvesting Devices. - Li Zeng; Dingzhu Wen; Guangxu Zhu; Changsheng You; Qimei Chen; Yuanming Shi (IEEECONF, 2022)

Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning. - Zezhong Zhang; Guangxu Zhu; Shuguang Cui (GLOBECOM (Workshops), 2022)

Learning and Energy Efficient Edge Intelligence: Data Partition and Rate Control. - Xiaoyang Li 002; Shuai Wang 004; Guangxu Zhu; Ziqin Zhou; Kaibin Huang; Yi Gong 001 (ICC, 2022)

Joint Trajectory and Beamforming Design for UAV-Enabled Integrated Sensing and Communication. - Zhonghao Lyu; Guangxu Zhu; Jie Xu 002 (ICC, 2022)

Accelerating Edge Intelligence via Integrated Sensing and Communication. - Tong Zhang 026; Shuai Wang 004; Guoliang Li; Fan Liu 005; Guangxu Zhu; Rui Wang 007 (ICC, 2022)

Over-the-Air Computation with Imperfect Channel State Information. - Yilong Chen 003; Guangxu Zhu; Jie Xu 002 (SPAWC, 2022)

Training Time Minimization in Quantized Federated Edge Learning under Bandwidth Constraint. - Peixi Liu; Jiamo Jiang; Guangxu Zhu; Lei Cheng 003; Wei Jiang 003; Wu Luo; Ying Du; Zhiqin Wang (WCNC, 2022)

Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search. - Chunhui Zhang; Xiaoming Yuan 002; Qianyun Zhang 001; Guangxu Zhu; Lei Cheng 003; Ning Zhang 007 (CoRR, 2022)

Pushing AI to Wireless Network Edge: An Overview on Integrated Sensing, Communication, and Computation towards 6G. - Guangxu Zhu; Zhonghao Lyu; Xiang Jiao; Peixi Liu; Mingzhe Chen; Jie Xu 002; Shuguang Cui; Ping Zhang 003 (CoRR, 2022)

Vertical Federated Edge Learning With Distributed Integrated Sensing and Communication. - Peixi Liu; Guangxu Zhu; Wei Jiang 003; Wu Luo; Jie Xu 002; Shuguang Cui (IEEE Commun. Lett., 2022)

Toward Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search. - Chunhui Zhang; Xiaoming Yuan 002; Qianyun Zhang 001; Guangxu Zhu; Lei Cheng 003; Ning Zhang 007 (IEEE Internet Things J., 2022)

Transmission Power Control for Over-the-Air Federated Averaging at Network Edge. - Xiaowen Cao; Guangxu Zhu; Jie Xu 002; Shuguang Cui (IEEE J. Sel. Areas Commun., 2022)

Optimized Power Control Design for Over-the-Air Federated Edge Learning. - Xiaowen Cao; Guangxu Zhu; Jie Xu 002; Zhiqin Wang; Shuguang Cui (IEEE J. Sel. Areas Commun., 2022)

Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation. - Peixi Liu; Jiamo Jiang; Guangxu Zhu; Lei Cheng 003; Wei Jiang 003; Wu Luo; Ying Du; Zhiqin Wang (Frontiers Inf. Technol. Electron. Eng., 2022)

Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence. - Xiaoyang Li 002; Shuai Wang 004; Guangxu Zhu; Ziqin Zhou; Kaibin Huang; Yi Gong 001 (IEEE Trans. Wirel. Commun., 2022)

Communication-Efficient Federated Edge Learning via Optimal Probabilistic Device Scheduling. - Maojun Zhang; Guangxu Zhu; Shuai Wang 004; Jiamo Jiang; Qing Liao 001; Caijun Zhong; Shuguang Cui (IEEE Trans. Wirel. Commun., 2022)

Turning Channel Noise Into an Accelerator for Over-the-Air Principal Component Analysis. - Zezhong Zhang; Guangxu Zhu; Rui Wang 007; Vincent K. N. Lau; Kaibin Huang (IEEE Trans. Wirel. Commun., 2022)

CHA-Sens: An End-to-End Comprehensive Residual Convolution Framework for CSI-based Human Activity Sensing. - Fujia Zhou; Wei Zhang 100; Guangxu Zhu; Hang Li 003; Qingjiang Shi (CSCWD, 2023)

TinyFL: A Lightweight Federated Learning Method with Efficient Memory-and-Communication. - Han Cheng; Qimei Chen; Yipeng Liang; Guangxu Zhu (GLOBECOM (Workshops), 2023)

Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems. - Cen Liu; Guangxu Zhu; Fan Liu 005; Yuanwei Liu; Kaibin Huang (GLOBECOM (Workshops), 2023)

Semantic Communications for Joint Image Recovery and Classification. - Zhonghao Lyu; Guangxu Zhu; Jie Xu 002; Bo Ai 001; Shuguang Cui (GLOBECOM (Workshops), 2023)

Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning. - Maojun Zhang; Zhijie Cai; Dongzhu Liu; Richeng Jin; Guangxu Zhu; Caijun Zhong (GLOBECOM (Workshops), 2023)

Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. - Boning Zhang; Dongzhu Liu; Osvaldo Simeone; Guangxu Zhu (GLOBECOM, 2023)

Theoretical Analysis and Performance Evaluation for Federated Edge Learning with Integrated Sensing, Communication and Computation. - Yipeng Liang; Qimei Chen; Guangxu Zhu; Hao Jiang 010 (ICC Workshops, 2023)

Federated Edge Learning via Integrated Sensing, Computation, and Communication. - Peixi Liu; Guangxu Zhu; Shuai Wang 004; Miaowen Wen; Wu Luo; H. Vincent Poor; Shuguang Cui (ICC, 2023)

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving. - Wei-Bin Kou; Shuai Wang 004; Guangxu Zhu; Bin Luo 004; Yingxian Chen; Derrick Wing Kwan Ng; Yik-Chung Wu (IROS, 2023)

FallDeWideo: Vision-Aided Wireless Sensing Dataset for Fall Detection with Commodity Wi-Fi Devices. - Zhijie Cai; Tingwei Chen; Fujia Zhou; Yuanhao Cui; Hang Li 003; Xiaoyang Li 002; Guangxu Zhu; Qingjiang Shi (ISACom@MobiCom, 2023)

Towards Pervasive Sensing: A multimodal approach via CSI and RGB image modalities fusion. - Fujia Zhou; Guangxu Zhu; Xiaoyang Li 002; Hang Li 003; Qingjiang Shi (ISACom@MobiCom, 2023)

UKFWiTr: A Single-link Indoor Tracking Method Based on WiFi CSI. - Xuemei Wang; Jiachen Wang; Hang Li 003; Xiaoyang Li 002; Chao Shen 004; Guangxu Zhu (WCNC, 2023)

Task-Oriented Over-the-Air Computation for Multi-Device Edge Split Inference. - Dingzhu Wen; Xiang Jiao; Peixi Liu; Guangxu Zhu; Yuanming Shi; Kaibin Huang (WCNC, 2023)

Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control. - Yuding Liu; Dongzhu Liu; Guangxu Zhu; Qingjiang Shi; Caijun Zhong (CoRR, 2023)

Joint Compression and Deadline Optimization for Wireless Federated Learning. - Maojun Zhang; Yang Li 049; Dongzhu Liu; Richeng Jin; Guangxu Zhu; Caijun Zhong (CoRR, 2023)

Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems. - Cen Liu; Guangxu Zhu; Fan Liu 005; Yuanwei Liu (CoRR, 2023)

Integrating Sensing, Communication, and Power Transfer: From Theory to Practice. - Xiaoyang Li 002; Zidong Han; Guangxu Zhu; Yuanming Shi; Jie Xu 002; Qinyu Zhang 001; Kaibin Huang; Khaled B. Letaief (CoRR, 2023)

6G Non-Terrestrial Networks Enabled Low-Altitude Economy: Opportunities and Challenges. - Yihang Jiang; Xiaoyang Li 002; Guangxu Zhu; Hang Li 003; Jing Deng; Qingjiang Shi (CoRR, 2023)

Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI. - Hong Xing; Guangxu Zhu; Dongzhu Liu; Haifeng Wen; Kaibin Huang; Kaishun Wu (IEEE Netw., 2023)

Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving. - Xinrao Li; Tong Zhang 026; Shuai Wang 004; Guangxu Zhu; Rui Wang 007; Tsung-Hui Chang (IEEE Wirel. Commun. Lett., 2023)

Toward Ambient Intelligence: Federated Edge Learning With Task-Oriented Sensing, Computation, and Communication Integration. - Peixi Liu; Guangxu Zhu; Shuai Wang 004; Wei Jiang 003; Wu Luo; H. Vincent Poor; Shuguang Cui (IEEE J. Sel. Top. Signal Process., 2023)

Optimized Power Control for Over-the-Air Federated Averaging With Data Privacy Guarantee. - Jiamo Jiang; Kaifeng Han; Ying Du; Guangxu Zhu; Zhiqin Wang; Shuguang Cui (IEEE Trans. Veh. Technol., 2023)

Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G. - Guangxu Zhu; Zhonghao Lyu; Xiang Jiao; Peixi Liu; Mingzhe Chen; Jie Xu 002; Shuguang Cui; Yan-Ping Zhang (Sci. China Inf. Sci., 2023)

ISAC-Accelerated Edge Intelligence: Framework, Optimization, and Analysis. - Tong Zhang 026; Guoliang Li; Shuai Wang 004; Guangxu Zhu; Gaojie Chen; Rui Wang 007 (IEEE Trans. Green Commun. Netw., 2023)

Energy Efficient Wireless Crowd Labeling: Joint Annotator Clustering and Power Control. - Xiaoyang Li 002; Guangxu Zhu; Kaiming Shen; Kaifeng Han; Kaibin Huang; Yi Gong 001 (IEEE Trans. Wirel. Commun., 2023)

Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication. - Zhonghao Lyu; Guangxu Zhu; Jie Xu 002 (IEEE Trans. Wirel. Commun., 2023)

Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design. - Xiaoyang Li 002; Fan Liu 005; Ziqin Zhou; Guangxu Zhu; Shuai Wang 004; Kaibin Huang; Yi Gong 001 (IEEE Trans. Wirel. Commun., 2023)

Wireless Image Transmission With Semantic and Security Awareness. - Maojun Zhang; Yang Li 049; Zezhong Zhang; Guangxu Zhu; Caijun Zhong (IEEE Wirel. Commun. Lett., 2023)

Integrating Sensing, Communication, and Computation in the Sky. - Yao Tang; Guangxu Zhu; Wei Xu 001; Man Hon Cheung; Tat-Ming Lok; Shuguang Cui (ICASSP, 2024)

Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN. - Zezhong Zhang; Guangxu Zhu; Junting Chen; Shuguang Cui (ICC Workshops, 2024)

Finding the Missing Data: A BERT-Inspired Approach Against Package Loss in Wireless Sensing. - Zijian Zhao 002; Tingwei Chen; Fanyi Meng; Hang Li 003; Xiaoyang Li 002; Guangxu Zhu (INFOCOM (Workshops), 2024)

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Shuai Wang 004; Guangxu Zhu; Yik-Chung Wu (IROS, 2024)

Integrated Sensing and Learning for Better Generalized Edge AI. - Zhijie Cai; Xiaowen Cao; Zihan Zhang; Qimei Chen; Hang Li 003; Xiaoyang Li 002; Kaifeng Han; Yuanhao Cui; Guangxu Zhu (JC&S, 2024)

Semantics Guided Diffusion for Deep Joint Source and Channel Coding Design. - Maojun Zhang; Guangxu Zhu; Kaifeng Han; Richeng Jin; Xiaoming Chen 001 (WCSP, 2024)

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Sheng Xu; Rongguang Ye; Yang Leng; Shuai Wang 004; Zhenyu Chen; Guangxu Zhu; Yik-Chung Wu (CoRR, 2024)

Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need. - Tingwei Chen; Yantao Wang; Hanzhi Chen; Zijian Zhao 002; Xinhao Li; Nicola Piovesan; Guangxu Zhu; Qingjiang Shi (CoRR, 2024)

An overview of domain-specific foundation model: key technologies, applications and challenges. - Haolong Chen; Hanzhi Chen; Zijian Zhao 002; Kaifeng Han; Guangxu Zhu; Yichen Zhao; Ying Du; Wei Xu 001; Qingjiang Shi (CoRR, 2024)

An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding. - Wei-Bin Kou; Guangxu Zhu; Rongguang Ye; Shuai Wang 004; Qingfeng Lin; Ming Tang 006; Yik-Chung Wu (CoRR, 2024)

Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation. - Ziwei Liu; Liang Zhang; Qian Li; Jianghua Wu; Guangxu Zhu (CoRR, 2024)

KNN-MMD: Cross Domain Wi-Fi Sensing Based on Local Distribution Alignment. - Zijian Zhao 002; Zhijie Cai; Tingwei Chen; Xiaoyang Li 002; Hang Li 003; Guangxu Zhu (CoRR, 2024)

LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking. - Zijian Zhao 002; Tingwei Chen; Fanyi Meng; Zhijie Cai; Hang Li 003; Xiaoyang Li 002; Guangxu Zhu (CoRR, 2024)

Mining Limited Data Sufficiently: A BERT-inspired Approach for CSI Time Series Application in Wireless Communication and Sensing. - Zijian Zhao 002; Fanyi Meng; Hang Li 003; Xiaoyang Li 002; Guangxu Zhu (CoRR, 2024)

Multi-Feature Traffic Prediction Based on Signaling Information for Cellular Network. - Jiaxin Liu; Xiongyan Tang; Guangxu Zhu; Xinzhou Cheng; Liqiang Zhao; Hang Li 003 (IEEE Trans. Veh. Technol., 2024)

Federated Learning With Energy Harvesting Devices. - Li Zeng; Dingzhu Wen; Guangxu Zhu; Changsheng You; Qimei Chen; Yuanming Shi (IEEE Trans. Green Commun. Netw., 2024)

Task-Oriented Over-the-Air Computation for Multi-Device Edge AI. - Dingzhu Wen; Xiang Jiao; Peixi Liu; Guangxu Zhu; Yuanming Shi; Kaibin Huang (IEEE Trans. Wirel. Commun., 2024)

Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI. - Dingzhu Wen; Peixi Liu; Guangxu Zhu; Yuanming Shi; Jie Xu 002; Yonina C. Eldar; Shuguang Cui (IEEE Trans. Wirel. Commun., 2024)

Integrated Sensing-Communication-Computation for Over-the-Air Edge AI Inference. - Zeming Zhuang; Dingzhu Wen; Yuanming Shi; Guangxu Zhu; Sheng Wu 001; Dusit Niyato (IEEE Trans. Wirel. Commun., 2024)

Sum-Rate Maximization for STAR-RIS-Assisted Multi-User Networks With Hardware Impairments. - Xiaomei Luo; Zhuochen Jiang; Fan Xu 001; Xiaoyang Li 002; Guangxu Zhu; Kaiming Shen (IEEE Wirel. Commun. Lett., 2024)

An Overview on Over-the-Air Federated Edge Learning. - Xiaowen Cao; Zhonghao Lyu; Guangxu Zhu; Jie Xu 002; Lexi Xu; Shuguang Cui (IEEE Wirel. Commun., 2024)

Joint Compression and Deadline Optimization for Wireless Federated Learning. - Maojun Zhang; Yang Li 049; Dongzhu Liu; Richeng Jin; Guangxu Zhu; Caijun Zhong; Tony Q. S. Quek (IEEE Trans. Mob. Comput., 2024)

Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding. - Zhonghao Lyu; Guangxu Zhu; Jie Xu 002; Bo Ai 001; Shuguang Cui (IEEE Trans. Wirel. Commun., 2024)

Integrating Sensing, Communication, and Power Transfer: From Theory to Practice. - Xiaoyang Li 002; Zidong Han; Guangxu Zhu; Yuanming Shi; Jie Xu 002; Yi Gong 001; Qin-Yu Zhang 001; Kaibin Huang; Khaled B. Letaief (IEEE Commun. Mag., 2024)

Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design. - Ziqin Zhou; Xiaoyang Li 002; Guangxu Zhu; Jie Xu 002; Kaibin Huang; Shuguang Cui (IEEE J. Sel. Areas Commun., 2024)

Collaborative Edge AI Inference Over Cloud-RAN. - Pengfei Zhang; Dingzhu Wen; Guangxu Zhu; Qimei Chen; Kaifeng Han; Yuanming Shi (IEEE Trans. Commun., 2024)

Task-Oriented Over-the-Air Computation for Edge-Device Co-Inference With Balanced Classification Accuracy. - Xiang Jiao; Dingzhu Wen; Guangxu Zhu; Wei Jiang 003; Wu Luo; Yuanming Shi (IEEE Trans. Veh. Technol., 2024)

RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks. - Xiaojie Li; Songyang Zhang; Hang Li 003; Xiaoyang Li 002; Lexi Xu; Haigao Xu; Hui Mei; Guangxu Zhu; Nan Qi; Ming Xiao 001 (IEEE Trans. Wirel. Commun., 2024)

Joint Device Scheduling and Resource Allocation for ISCC-Based Multiview-Multitask Inference. - Diao Wang; Dingzhu Wen; Yinghui He; Qimei Chen; Guangxu Zhu; Guanding Yu (IEEE Internet Things J., 2024)

Energy-Efficient Optimal Mode Selection for Edge AI Inference via Integrated Sensing-Communication-Computation. - Shu Liu; Dingzhu Wen; Da Li; Qimei Chen; Guangxu Zhu; Yuanming Shi (IEEE Trans. Mob. Comput., 2024)

Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning. - Boning Zhang; Dongzhu Liu; Osvaldo Simeone; Guanchu Wang; Dimitrios Pezaros; Guangxu Zhu (AISTATS, 2025)

Task-Oriented Wireless Communication and Control Co-Design. - Zidong Han; Xiaoyang Li 002; Guangxu Zhu; Bingpeng Zhou; Kaibin Huang; Yi Gong 001; Qinyu Zhang 001 (WCNC, 2025)

RadioGAT: A Model-Based Learning Framework for Radio Map Reconstruction via Graph Attention Networks. - Xiaojie Li; Hang Li 003; Xiaoyang Li 002; Guangxu Zhu; Nan Qi; Ming Xiao 001 (WCNC, 2025)

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management. - Yipeng Liang; Qimei Chen; Guangxu Zhu; Muhammad Kaleem Awan; Hao Jiang 010 (CoRR, 2025)

Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission. - Maojun Zhang; Haotian Wu; Guangxu Zhu; Richeng Jin; Xiaoming Chen 001; Deniz Gündüz (CoRR, 2025)

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Shuai Wang 004; Rongguang Ye; Guangxu Zhu; Yik-Chung Wu (CoRR, 2025)

First Token Probability Guided RAG for Telecom Question Answering. - Tingwei Chen; Jiayi Chen; Zijian Zhao 002; Haolong Chen; Liang Zhang; Guangxu Zhu (CoRR, 2025)

FeedSign: Robust Full-parameter Federated Fine-tuning of Large Models with Extremely Low Communication Overhead of One Bit. - Zhijie Cai; Haolong Chen; Guangxu Zhu (CoRR, 2025)

Communication-and-Energy Efficient Over-the-Air Federated Learning. - Yipeng Liang; Qimei Chen; Guangxu Zhu; Hao Jiang 010; Yonina C. Eldar; Shuguang Cui (IEEE Trans. Wirel. Commun., 2025)

Channel Estimation for STAR-RIS-Assisted Multi-User mmWave Wireless Systems. - Xiaomei Luo; Yineng Liu; Fan Xu 001; Xiaoyang Li 002; Guangxu Zhu; Kaiming Shen (IEEE Wirel. Commun. Lett., 2025)

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. - Wei-Bin Kou; Guangxu Zhu; Rongguang Ye; Shuai Wang 004; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence. - Zhijie Cai; Xiaowen Cao; Xu Chen; Yuanhao Cui; Guangxu Zhu; Kaibin Huang; Shuguang Cui (CoRR, 2025)

Rethinking Resource Management in Edge Learning: A Joint Pre-Training and Fine-Tuning Design Paradigm. - Zhonghao Lyu; Yuchen Li; Guangxu Zhu; Jie Xu 002; H. Vincent Poor; Shuguang Cui (IEEE Trans. Wirel. Commun., 2025)

Edge Perception: Intelligent Wireless Sensing at Network Edge. - Yuanhao Cui; Xiaowen Cao; Guangxu Zhu; Jiali Nie; Jie Xu 002 (IEEE Commun. Mag., 2025)

Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks. - Jiacheng Yao; Wei Xu 001; Guangxu Zhu; Kaibin Huang; Shuguang Cui (CoRR, 2025)

Quantized Analog Beamforming Enabled Multi-task Federated Learning Over-the-air. - Jiacheng Yao; Wei Xu 001; Guangxu Zhu; Zhaohui Yang 001; Kaibin Huang; Dusit Niyato (CoRR, 2025)

Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization. - Jiayi Chen; Shuai Wang 004; Guoliang Li; Wei Xu 001; Guangxu Zhu; Derrick Wing Kwan Ng; Chengzhong Xu 001 (CoRR, 2025)

TinyFEL: Communication, Computation, and Memory Efficient Tiny Federated Edge Learning via Model Sparse Update. - Qimei Chen; Han Cheng; Yipeng Liang; Guangxu Zhu; Ming Li; Hao Jiang 010 (IEEE Internet Things J., 2025)

Exploiting Beam Split Effect on Wideband Beam Alignment: A Deep Unfolding Based Posterior Matching Approach. - Qimei Chen; Yang Yang; Xiaoxia Xu; Guangxu Zhu; Jian Zhang; Hao Jiang 010 (IEEE J. Sel. Areas Commun., 2025)

Beamforming Design for Semantic-Bit Coexisting Communication System. - Maojun Zhang; Guangxu Zhu; Richeng Jin; Xiaoming Chen 001; Qingjiang Shi; Caijun Zhong; Kaibin Huang (IEEE J. Sel. Areas Commun., 2025)

Integrated Sensing, Computation, and Communication for UAV-Assisted Federated Edge Learning. - Yao Tang; Guangxu Zhu; Wei Xu 001; Man Hon Cheung; Tat-Ming Lok; Shuguang Cui (IEEE Trans. Wirel. Commun., 2025)

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. - Wei-Bin Kou; Guangxu Zhu; Bingyang Cheng; Shuai Wang 004; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)

iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models. - Wei-Bin Kou; Guangxu Zhu; Yichen Jin; Shuai Wang 004; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)

Sensing-Communication-Computation Integration for Federated Edge Learning With Controllable Model Dropout. - Xiang Jiao; Guangxu Zhu; Wei Jiang 003; Li Chen 015; Wu Luo; Dingzhu Wen (IEEE Internet Things J., 2025)

CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network. - Zijian Zhao 002; Tingwei Chen; Zhijie Cai; Xiaoyang Li 002; Hang Li 003; Qimei Chen; Guangxu Zhu (IEEE Internet Things J., 2025)

Partitioned Edge Learning Over Fast Fading Channels. - Zhihui Jiang; Dingzhu Wen; Shengli Liu 002; Guangxu Zhu; Guanding Yu (IEEE Trans. Veh. Technol., 2025)

Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach. - Yuhan Ai; Qimei Chen; Guangxu Zhu; Dingzhu Wen; Hao Jiang 010; Jun Zeng; Ming Li (IEEE Trans. Wirel. Commun., 2025)

A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction. - Xiaojie Li; Zhijie Cai; Nan Qi; Chao Dong 001; Guangxu Zhu; Haixia Ma; Qihui Wu 001; Shi Jin 002 (CoRR, 2025)

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising. - Maojun Zhang; Guangxu Zhu; Xiaoming Chen 001; Kaibin Huang; Zhaoyang Zhang 001 (CoRR, 2025)

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Rongguang Ye; Shuai Wang 004; Guangxu Zhu; Yik-Chung Wu (IEEE Trans. Intell. Transp. Syst., 2025)

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization. - Wei-Bin Kou; Guangxu Zhu; Rongguang Ye; Jingreng Lei; Shuai Wang 004; Qingfeng Lin; Ming Tang 006; Yik-Chung Wu (CoRR, 2025)

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction. - Haolong Chen; Liang Zhang; Zhengyuan Xin; Guangxu Zhu (CoRR, 2025)

Network-Level Performance Analysis for Air-Ground Integrated Sensing and Communication. - Yihang Jiang; Xiaoyang Li 002; Guangxu Zhu; Kaifeng Han; Kaitao Meng; Wu Yang; Chenji Liu; Qingjiang Shi; Rui Zhang 006 (IEEE Trans. Wirel. Commun., 2025)

Low-complexity hybrid beamforming for multi-cell mmWave massive MIMO: A primitive Kronecker decomposition approach. - Teng Sun; Guangxu Zhu; Xiaofan Li 001; Jiancun Fan; Minghua Xia (Signal Process., 2026)