Kang Wei - RankMe

91 papers A* 3B 3Journal 82Unranked 3

Year	Rank	Type	Title / 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