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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j34]Liwen Wu, Zhizhi Liu, Bin Pu
, Kang Wei, Hangcheng Cao, Shaowen Yao:
DGGI: Deep Generative Gradient Inversion with diffusion model. Inf. Fusion 113: 102620 (2025)- 2024
- [j33]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu:
Gradient sparsification for efficient wireless federated learning with differential privacy. Sci. China Inf. Sci. 67(4) (2024) - [j32]Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin:
Blockchain-Aided Wireless Federated Learning: Resource Allocation and Client Scheduling. IEEE Internet Things J. 11(21): 34349-34363 (2024) - [j31]Lei Zhao, Junyao Tang, Kang Wei, Cheng Huang:
A 4-Phase DAB Current-Mode Hysteretic Controlled Buck Converter With Relaxed Inductor Requirements and Enhanced DC and Dynamic Performance. IEEE J. Solid State Circuits 59(5): 1556-1566 (2024) - [j30]Lei Zhao, Junyao Tang, Xin Zhang, Kang Wei, Raveesh Magod, Cheng Huang:
A 96.1% Efficiency Single-Inductor Multiple-Output (SIMO) Buck Converter With 2.1-A/ns Transient Speed and 2.2-A Maximum Current Capacity. IEEE J. Solid State Circuits 59(8): 2545-2556 (2024) - [j29]Xizhan Gao, Kang Wei, Sijie Niu, Hui Zhao, Jiwen Dong:
EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification. IEEE Signal Process. Lett. 31: 1459-1463 (2024) - [j28]Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Wenchao Xu, Kang Wei, Xiaohua Jia:
Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing. IEEE Trans. Computers 73(7): 1837-1851 (2024) - [j27]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor:
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. IEEE Trans. Dependable Secur. Comput. 21(3): 1196-1209 (2024) - [j26]Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen:
Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j25]Tianyu Yuan, Xiangjun Dai, Kang Wei, Fujun Yang:
Dynamic Localization and Transient Profile Reconstruction of Internal Defect Based on a Dual-Channel Speckle Interferometer. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j24]Yuwen Qian, Luping Rao, Chuan Ma, Kang Wei, Ming Ding, Long Shi:
Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 25(10): 14507-14520 (2024) - [j23]Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo:
Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing. IEEE Trans. Mob. Comput. 23(10): 9946-9958 (2024) - [j22]Quan Chen, Song Guo, Wenchao Xu, Jing Li, Kang Wei, Zhipeng Cai, Hong Gao:
Peak AoI Minimization With Directional Charging for Data Collection at Wireless-Powered Network Edge. IEEE Trans. Serv. Comput. 17(5): 2747-2761 (2024) - [j21]Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor:
Analysis and Optimization of Wireless Federated Learning With Data Heterogeneity. IEEE Trans. Wirel. Commun. 23(7): 7728-7744 (2024) - [j20]Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Long Shi, Wen Chen:
Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint. IEEE Wirel. Commun. Lett. 13(10): 2757-2761 (2024) - [c17]Junyao Tang, Jianqiang Jiang, Lei Zhao, Xin Zhang, Kang Wei, Cheng Huang:
A Monolithic 3-Level Single-Inductor Multiple-Output Buck Converter with State-Based Non-Linear Control Capable of Handling 1A/1.5ns Transient with On-Die LC. CICC 2024: 1-2 - [c16]Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang:
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction. ECCV (34) 2024: 186-203 - [c15]Shuchi Wu, Chuan Ma, Kang Wei, Ming Ding, Jiyun Yang, Yuwen Qian:
Towards Efficient Backdoor Attacks Against Federated Self-supervised Learning as a Service Through Intra-Union Aggregation. ICSS 2024: 122-135 - [c14]Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao:
Dual Expert Distillation Network for Generalized Zero-Shot Learning. IJCAI 2024: 4833-4841 - [i34]Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei:
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization. CoRR abs/2402.12957 (2024) - [i33]Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao:
Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR abs/2404.16348 (2024) - [i32]Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Long Shi, Wen Chen:
Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint. CoRR abs/2405.05802 (2024) - [i31]Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin:
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations. CoRR abs/2405.06993 (2024) - [i30]Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo:
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection. CoRR abs/2405.13080 (2024) - [i29]Xiumei Deng, Jun Li, Long Shi, Kang Wei, Ming Ding, Yumeng Shao, Wen Chen, Shi Jin:
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks. CoRR abs/2405.17914 (2024) - [i28]Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zeihui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor:
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization. CoRR abs/2405.17932 (2024) - [i27]Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin:
Blockchain-aided wireless federated learning: Resource allocation and client scheduling. CoRR abs/2406.00752 (2024) - [i26]Shunfeng Chu, Jun Li, Jianxin Wang, Yiyang Ni, Kang Wei, Wen Chen, Shi Jin:
Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network. CoRR abs/2408.14298 (2024) - 2023
- [j19]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen:
Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks. IEEE J. Sel. Areas Commun. 41(3): 755-775 (2023) - [j18]Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor:
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning. Proc. IEEE 111(9): 1097-1132 (2023) - [j17]Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor:
RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network. IEEE Trans. Dependable Secur. Comput. 20(6): 4838-4852 (2023) - [j16]Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor:
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. IEEE Trans. Inf. Forensics Secur. 18: 1884-1897 (2023) - [j15]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor:
Personalized Federated Learning With Differential Privacy and Convergence Guarantee. IEEE Trans. Inf. Forensics Secur. 18: 4488-4503 (2023) - [j14]Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo:
Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j13]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor:
Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling. IEEE Trans. Wirel. Commun. 22(5): 3537-3553 (2023) - [c13]Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CVPR 2023: 24552-24562 - [c12]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. ICML 2023: 31269-31291 - [c11]Jun Li, Dan Luo, Kang Wei, Zhen Mei, Yumeng Shao:
FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model. ICPADS 2023: 1628-1636 - [c10]Muhammad Rizwan Khan, Kang Wei, Xin Zhang, Cheng Huang:
A Single-Inductor 4-Phase Hybrid Switched-Capacitor Topology for Integrated 48V-to-1V DC-DC Converters. ISCAS 2023: 1-5 - [c9]Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He:
Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing. VTC Fall 2023: 1-6 - [i25]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. CoRR abs/2302.04083 (2023) - [i24]Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor:
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. CoRR abs/2303.04274 (2023) - [i23]Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CoRR abs/2303.11242 (2023) - [i22]Shunfeng Chu, Jun Li, Kang Wei, Yuwen Qian, Kunlun Wang, Feng Shu, Wen Chen:
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning. CoRR abs/2304.04162 (2023) - [i21]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu:
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy. CoRR abs/2304.04164 (2023) - [i20]Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao:
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy. CoRR abs/2305.00873 (2023) - [i19]Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo:
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing. CoRR abs/2305.01387 (2023) - [i18]Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor:
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity. CoRR abs/2308.03521 (2023) - [i17]Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo:
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding. CoRR abs/2310.09002 (2023) - [i16]Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo:
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. CoRR abs/2311.14750 (2023) - [i15]Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang:
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction. CoRR abs/2312.00855 (2023) - [i14]Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, Song Guo:
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence. CoRR abs/2312.16497 (2023) - 2022
- [j12]Xi Chen, Xiao Shao, Xin Pan, Gaochao Luo, Maoqiang Bi, Tianyan Jiang, Kang Wei:
Feature extraction of partial discharge in low-temperature composite insulation based on VMD-MSE-IF. CAAI Trans. Intell. Technol. 7(2): 301-312 (2022) - [j11]Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai:
DNN-aided read-voltage threshold optimization for MLC flash memory with finite block length. IET Commun. 16(2): 120-130 (2022) - [j10]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor:
Low-Latency Federated Learning Over Wireless Channels With Differential Privacy. IEEE J. Sel. Areas Commun. 40(1): 290-307 (2022) - [j9]Wei Sun, Kang Wei, Zhi Liu, Qiyue Li, Xiaobing Xu:
Linear Quadratic Gaussian Control for Wireless Communication Reliability for a Mobile Monitoring Robot in a UHV Power Substation. IEEE Syst. J. 16(3): 4149-4159 (2022) - [j8]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization. IEEE Trans. Mob. Comput. 21(9): 3388-3401 (2022) - [j7]Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. IEEE Trans. Parallel Distributed Syst. 33(10): 2401-2415 (2022) - [c8]Kang Wei, Jiwen Dong, Wei Hu, Sijie Niu, Hui Zhao, Xizhan Gao:
Deep Dictionary Pair Learning for SAR Image Classification. ICANN (3) 2022: 87-100 - [c7]Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li:
CluFL: Cluster-driven Weighted FL Model Aggregation Strategy. ICPADS 2022: 883-890 - [i13]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge:
Vertical Federated Learning: Challenges, Methodologies and Experiments. CoRR abs/2202.04309 (2022) - [i12]Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor:
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning. CoRR abs/2202.09027 (2022) - [i11]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen:
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks. CoRR abs/2210.14700 (2022) - 2021
- [j6]Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor:
Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design. IEEE Internet Things J. 8(24): 17308-17319 (2021) - [j5]Kang Wei, Dongsheng Brian Ma:
A 10-MHz DAB Hysteretic Control Switching Power Converter for 5G IoT Power Delivery. IEEE J. Solid State Circuits 56(7): 2113-2122 (2021) - [j4]Kang Wei, Yogesh Ramadass, Dongsheng Brian Ma:
Direct 12V/24V-to-1V Tri-State Double Step-Down Power Converter With Online VCF Rebalancing and In-Situ Precharge Rate Regulation. IEEE J. Solid State Circuits 56(8): 2416-2426 (2021) - [i10]Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. CoRR abs/2101.06905 (2021) - [i9]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor:
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. CoRR abs/2101.11799 (2021) - [i8]Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor:
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design. CoRR abs/2105.06256 (2021) - [i7]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor:
On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels. CoRR abs/2105.14708 (2021) - [i6]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor:
Low-Latency Federated Learning over Wireless Channels with Differential Privacy. CoRR abs/2106.13039 (2021) - 2020
- [j3]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning With Differential Privacy: Algorithms and Performance Analysis. IEEE Trans. Inf. Forensics Secur. 15: 3454-3469 (2020) - [c6]Kang Wei, Yogesh Ramadass, Dongsheng Brian Ma:
11.1 A Direct 12V/24V-to-1V 3W 91.2%-Efficiency Tri-State DSD Power Converter with Online VCF Rebalancing and In-Situ Precharge Rate Regulation. ISSCC 2020: 190-192 - [i5]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
Performance Analysis and Optimization in Privacy-Preserving Federated Learning. CoRR abs/2003.00229 (2020) - [i4]Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai:
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length. CoRR abs/2004.05340 (2020) - [i3]Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor:
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network. CoRR abs/2007.02056 (2020) - [i2]Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients. CoRR abs/2012.02044 (2020)
2010 – 2019
- 2019
- [j2]Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Francis C. M. Lau:
Page-Based Dynamic Partitioning Scheduling for LDPC Decoding in MLC NAND Flash Memory. IEEE Trans. Circuits Syst. II Express Briefs 66-II(12): 2082-2086 (2019) - [c5]Kang Wei, Jianzhi Sun, Ruijun Liu:
A Review of Asset Administration Shell. IEEM 2019: 1460-1465 - [c4]Kang Wei, Bumkil Lee, Dongsheng Brian Ma:
A 10-MHz 14.3W/mm2 DAB Hysteretic Control Power Converter Achieving 2.5W/247ns Full Load Power Flipping and above 80% Efficiency in 99.9% Power Range for 5G IoTs. VLSI Circuits 2019: 172- - [i1]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning with Differential Privacy: Algorithms and Performance Analysis. CoRR abs/1911.00222 (2019) - 2018
- [c3]Zonghui Li, Hai Wan, Yangdong Deng, Qinghan Yu, Tianchi Li, Kang Wei, Ming Gu:
Model-based adaptation to extreme physical environments: a case study on mixed-criticality industrial ethernet. ICSE (Companion Volume) 2018: 327-328 - [c2]Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Yonghui Li:
Read-Voltage Optimization for Finite Code Length in MLC NAND Flash Memory. ITW 2018: 1-5 - 2017
- [j1]Lei She, Xibin Zhao, Yu Chen, Heyuan Shi, Kang Wei:
轨道交通实时以太网交换机启动性能的分析与优化 (Analysis and Optimization of Boot-up Performance for Railway Real-time Ethernet Switch). 计算机科学 44(Z11): 276-280 (2017) - [c1]Kang Wei, Dongsheng Brian Ma:
Comparative topology and power loss study for high power density and high conversion ratio integrated switching power converters. LASCAS 2017: 1-4
Coauthor Index
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