Kang Wei

91 papers A* 3B 3Journal 82Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph Neural Networks via AirComp: Algorithms and Performance Analysis.
IEEE Wirel. Commun. Lett.
Kang Wei, Guangji Chen, Yan Hong, Long Shi, Feng Shu
2026 J jnl
Low-Latency Federated Fine-Tuning for Large Language Models Over Wireless Networks.
CoRR
Zhiwen Pang, Kang Wei, Long Shi, Zhe Wang, Jun Li, Feng Shu
2026 J jnl
Low-Latency Federated Fine-Tuning for Large Language Models Over Wireless Networks.
IEEE Wirel. Commun. Lett.
Zhiwen Pang, Kang Wei, Long Shi, Zhe Wang, Jun Li, Feng Shu
2026 J jnl
Machine Learning-Based Near-Field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive Array.
IEEE Trans. Cogn. Commun. Netw.
Jiatong Bai, Yifan Li, Feng Shu, Wei Zhu, Kang Wei, Cunhua Pan, Yongpeng Wu, Yaoliang Song, Jiangzhou Wang
2026 J jnl
Mobility in Hierarchical Federated Learning: Resource Allocation and Convergence Analysis.
IEEE Trans. Cogn. Commun. Netw.
Kecheng Fan, Wen Chen, Jun Li, Qingqing Wu, Ming Ding, Xuefeng Han, Kang Wei, Xiumei Deng
2026 J jnl
Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network.
IEEE Trans. Green Commun. Netw.
Shunfeng Chu, Jun Li, Jianxin Wang, Yiyang Ni, Kang Wei, Wen Chen, Shi Jin
2026 J jnl
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations.
IEEE Trans. Emerg. Top. Comput.
Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin
2026 J jnl
When MoE Meets Blockchain: A Trustworthy Distributed Framework of Large Models.
IEEE Commun. Mag.
Weihao Zhu, Long Shi, Kang Wei, Zhen Mei, Zhe Wang, Jiaheng Wang, Jun Li
2025 J jnl
Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity.
CoRR
Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Yumeng Shao, Qiong Wu
2025 J jnl
DNN-Based Enhanced DOA Sensing via Massive MIMO Receiver With Switches-Based Hybrid Architecture.
IEEE Trans. Consumer Electron.
Yifan Li, Kang Wei, Linqiong Jia, Kingsley J. Zou, Feng Shu, Yaoliang Song, Jiangzhou Wang
2025 J jnl
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization.
IEEE Trans. Cogn. Commun. Netw.
Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei
2025 J jnl
Enhancing Antiplagiarism Measures in Blockchain-Based Decentralized Federated Learning for Cross-Enterprise Modeling.
IEEE Trans. Ind. Informatics
Yumeng Shao, Jun Li, Kang Wei, Ming Ding, Feng Shu, Wen Chen
2025 J jnl
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence.
IEEE Trans. Mob. Comput.
Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, Song Guo
2025 J jnl
Online Device Scheduling and Model Partition in Hybrid Asynchronous Split Federated Learning.
IEEE Commun. Lett.
Shunfeng Chu, Yiyang Ni, Jun Li, Kang Wei, Jianxin Wang
2025 J jnl
Randomized DP-DFL: Towards Differentially Private Decentralized Federated Learning via Randomized Model Interaction.
IEEE Trans. Mob. Comput.
Weihao Zhu, Long Shi, Kang Wei, Yipeng Zhou, Zhe Wang, Zehui Xiong, Jun Li
2025 J jnl
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models.
CoRR
Kang Wei, Xin Yuan, Fushuo Huo, Chuan Ma, Long Yuan, Songze Li, Ming Ding, Dacheng Tao
2025 J jnl
Rotatable Antenna Meets UAV: Towards Dual-Level Channel Reconfiguration Paradigm for ISAC.
CoRR
Shiying Chen, Guangji Chen, Long Shi, Qingqing Wu, Kang Wei
2025 J jnl
Stable-MoE: Lyapunov-based Token Routing for Distributed Mixture-of-Experts Training over Edge Networks.
CoRR
Long Shi, Bingyan Ou, Kang Wei, Weihao Zhu, Zhe Wang, Zhiyong Chen
2025 J jnl
Stackelberg Game-Based Hierarchical Incentive Mechanism for Clustered Vehicular Federated Learning.
IEEE Trans. Commun.
Siyang Wang, Wenchao Xia, Haitao Zhao, Kang Wei, Tony Q. S. Quek, Hongbo Zhu
2025 J jnl
Toward the Flatter Landscape and Better Generalization in Federated Learning Under Client-Level Differential Privacy.
IEEE Trans. Pattern Anal. Mach. Intell.
Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao
2025 J jnl
Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive Optimization.
IEEE Trans. Signal Process.
Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zehui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor
2025 J jnl
Trustworthy Blockchain-Assisted Federated Learning: Decentralized Reputation Management and Performance Optimization.
IEEE Internet Things J.
Weihao Zhu, Long Shi, Jun Li, Bin Cao, Kang Wei, Zhe Wang, Tao Huang
2024 J jnl
Analysis and Optimization of Wireless Federated Learning With Data Heterogeneity.
IEEE Trans. Wirel. Commun.
Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor
2024 J jnl
Blockchain-Aided Wireless Federated Learning: Resource Allocation and Client Scheduling.
IEEE Internet Things J.
Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin
2024 J jnl
Blockchain-aided wireless federated learning: Resource allocation and client scheduling.
CoRR
Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin
2024 J jnl
Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples.
IEEE Trans. Instrum. Meas.
Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen
2024 J jnl
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization.
IEEE Trans. Dependable Secur. Comput.
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor
2024 J jnl
Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint.
CoRR
Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Long Shi, Wen Chen
2024 J jnl
Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint.
IEEE Wirel. Commun. Lett.
Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Long Shi, Wen Chen
2024 J jnl
Design of Anti-Plagiarism Mechanisms in Decentralized Federated Learning.
IEEE Trans. Serv. Comput.
Yumeng Shao, Jun Li, Ming Ding, Kang Wei, Chuan Ma, Long Shi, Wen Chen, Shi Jin
2024 A* conf
Dual Expert Distillation Network for Generalized Zero-Shot Learning.
IJCAI
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024 J jnl
Dual Expert Distillation Network for Generalized Zero-Shot Learning.
CoRR
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024 J jnl
Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing.
IEEE Trans. Mob. Comput.
Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo
2024 J jnl
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection.
CoRR
Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo
2024 J jnl
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization.
CoRR
Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei
2024 J jnl
Gradient sparsification for efficient wireless federated learning with differential privacy.
Sci. China Inf. Sci.
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu
2024 J jnl
Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing.
IEEE Trans. Computers
Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Wenchao Xu, Kang Wei, Xiaohua Jia
2024 J jnl
Peak AoI Minimization With Directional Charging for Data Collection at Wireless-Powered Network Edge.
IEEE Trans. Serv. Comput.
Quan Chen, Song Guo, Wenchao Xu, Jing Li, Kang Wei, Zhipeng Cai, Hong Gao
2024 — conf
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction.
ECCV (34)
Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang
2024 J jnl
Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network.
CoRR
Shunfeng Chu, Jun Li, Jianxin Wang, Yiyang Ni, Kang Wei, Wen Chen, Shi Jin
2024 J jnl
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations.
CoRR
Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin
2024 J jnl
Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst.
Yuwen Qian, Luping Rao, Chuan Ma, Kang Wei, Ming Ding, Long Shi
2024 J jnl
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization.
CoRR
Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zeihui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor
2024 — conf
Towards Efficient Backdoor Attacks Against Federated Self-supervised Learning as a Service Through Intra-Union Aggregation.
ICSS
Shuchi Wu, Chuan Ma, Kang Wei, Ming Ding, Jiyun Yang, Yuwen Qian
2024 J jnl
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks.
CoRR
Xiumei Deng, Jun Li, Long Shi, Kang Wei, Ming Ding, Yumeng Shao, Wen Chen, Shi Jin
2024 J jnl
Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks.
Sci. China Inf. Sci.
Xiumei Deng, Jun Li, Long Shi, Kang Wei, Ming Ding, Yumeng Shao, Wen Chen, Shi Jin
2023 J jnl
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning.
CoRR
Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor
2023 J jnl
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor
2023 J jnl
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity.
CoRR
Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor
2023 J jnl
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.
CoRR
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo
2023 J jnl
Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling.
IEEE Trans. Wirel. Commun.
Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor
2023 J jnl
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning.
CoRR
Shunfeng Chu, Jun Li, Kang Wei, Yuwen Qian, Kunlun Wang, Feng Shu, Wen Chen
2023 J jnl
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing.
CoRR
Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo
2023 B conf
FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model.
ICPADS
Jun Li, Dan Luo, Kang Wei, Zhen Mei, Yumeng Shao
2023 J jnl
Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding.
IEEE Trans. Instrum. Meas.
Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo
2023 J jnl
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding.
CoRR
Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo
2023 J jnl
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy.
CoRR
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu
2023 A* conf
Improving the Model Consistency of Decentralized Federated Learning.
ICML
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
2023 J jnl
Improving the Model Consistency of Decentralized Federated Learning.
CoRR
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
2023 J jnl
Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks.
IEEE J. Sel. Areas Commun.
Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen
2023 A* conf
Make Landscape Flatter in Differentially Private Federated Learning.
CVPR
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
2023 J jnl
Make Landscape Flatter in Differentially Private Federated Learning.
CoRR
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
2023 J jnl
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence.
CoRR
Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, Song Guo
2023 — conf
Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing.
VTC Fall
Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He
2023 J jnl
Personalized Federated Learning With Differential Privacy and Convergence Guarantee.
IEEE Trans. Inf. Forensics Secur.
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor
2023 J jnl
RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network.
IEEE Trans. Dependable Secur. Comput.
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor
2023 J jnl
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction.
CoRR
Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang
2023 J jnl
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.
CoRR
Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao
2023 J jnl
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning.
Proc. IEEE
Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor
2022 J jnl
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation.
IEEE Trans. Parallel Distributed Syst.
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor
2022 B conf
CluFL: Cluster-driven Weighted FL Model Aggregation Strategy.
ICPADS
Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li
2022 J jnl
DNN-aided read-voltage threshold optimization for MLC flash memory with finite block length.
IET Commun.
Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai
2022 J jnl
Low-Latency Federated Learning Over Wireless Channels With Differential Privacy.
IEEE J. Sel. Areas Commun.
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor
2022 J jnl
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks.
CoRR
Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen
2022 J jnl
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning.
CoRR
Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor
2022 J jnl
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization.
IEEE Trans. Mob. Comput.
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor
2022 J jnl
Vertical Federated Learning: Challenges, Methodologies and Experiments.
CoRR
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge
2021 J jnl
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation.
CoRR
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor
2021 J jnl
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization.
CoRR
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor
2021 J jnl
Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design.
IEEE Internet Things J.
Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor
2021 J jnl
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design.
CoRR
Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor
2021 J jnl
Low-Latency Federated Learning over Wireless Channels with Differential Privacy.
CoRR
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor
2021 J jnl
On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels.
CoRR
Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor
2020 J jnl
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients.
CoRR
Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor
2020 J jnl
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length.
CoRR
Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai
2020 J jnl
Federated Learning With Differential Privacy: Algorithms and Performance Analysis.
IEEE Trans. Inf. Forensics Secur.
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor
2020 J jnl
Performance Analysis and Optimization in Privacy-Preserving Federated Learning.
CoRR
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor
2020 J jnl
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network.
CoRR
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor
2019 J jnl
Federated Learning with Differential Privacy: Algorithms and Performance Analysis.
CoRR
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor
2019 J jnl
Page-Based Dynamic Partitioning Scheduling for LDPC Decoding in MLC NAND Flash Memory.
IEEE Trans. Circuits Syst. II Express Briefs
Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Francis C. M. Lau
2018 B conf
Read-Voltage Optimization for Finite Code Length in MLC NAND Flash Memory.
ITW
Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Yonghui Li