Kang Wei

According to our database, Kang Wei authored at least 49 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamic Localization and Transient Profile Reconstruction of Internal Defect Based on a Dual-Channel Speckle Interferometer.

Tianyu Yuan, Xiangjun Dai, Kang Wei, Fujun Yang

IEEE Trans. Instrum. Meas., 2024

Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples.

Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen

IEEE Trans. Instrum. Meas., 2024

Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization.

Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei

CoRR, 2024

2023

Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

Proc. IEEE, September, 2023

Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

IEEE Trans. Wirel. Commun., May, 2023

Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen

IEEE J. Sel. Areas Commun., March, 2023

Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding.

Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo

IEEE Trans. Instrum. Meas., 2023

Personalized Federated Learning With Differential Privacy and Convergence Guarantee.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2023

Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning.

Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2023

RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network.

Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor

IEEE Trans. Dependable Secur. Comput., 2023

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction.

Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang

CoRR, 2023

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo

CoRR, 2023

Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding.

Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo

CoRR, 2023

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity.

Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor

CoRR, 2023

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing.

Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo

CoRR, 2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.

Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao

CoRR, 2023

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu

CoRR, 2023

Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning.

Shunfeng Chu, Jun Li, Kang Wei, Yuwen Qian, Kunlun Wang, Feng Shu, Wen Chen

CoRR, 2023

Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing.

Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

A Single-Inductor 4-Phase Hybrid Switched-Capacitor Topology for Integrated 48V-to-1V DC-DC Converters.

Muhammad Rizwan Khan, Kang Wei, Xin Zhang, Cheng Huang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model.

Jun Li, Dan Luo, Kang Wei, Zhen Mei, Yumeng Shao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Improving the Model Consistency of Decentralized Federated Learning.

Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

Make Landscape Flatter in Differentially Private Federated Learning.

Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation.

Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor

IEEE Trans. Parallel Distributed Syst., 2022

User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

IEEE Trans. Mob. Comput., 2022

Linear Quadratic Gaussian Control for Wireless Communication Reliability for a Mobile Monitoring Robot in a UHV Power Substation.

Wei Sun, Kang Wei, Zhi Liu, Qiyue Li, Xiaobing Xu

IEEE Syst. J., 2022

Low-Latency Federated Learning Over Wireless Channels With Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2022

DNN-aided read-voltage threshold optimization for MLC flash memory with finite block length.

Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai

IET Commun., 2022

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

CoRR, 2022

Vertical Federated Learning: Challenges, Methodologies and Experiments.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge

CoRR, 2022

Feature extraction of partial discharge in low-temperature composite insulation based on VMD-MSE-IF.

Xi Chen, Xiao Shao, Xin Pan, Gaochao Luo, Maoqiang Bi, Tianyan Jiang, Kang Wei

CAAI Trans. Intell. Technol., 2022

CluFL: Cluster-driven Weighted FL Model Aggregation Strategy.

Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Deep Dictionary Pair Learning for SAR Image Classification.

Kang Wei, Jiwen Dong, Wei Hu, Sijie Niu, Hui Zhao, Xizhan Gao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Direct 12V/24V-to-1V Tri-State Double Step-Down Power Converter With Online V_CF Rebalancing and In-Situ Precharge Rate Regulation.

Kang Wei, Yogesh Ramadass, Dongsheng Brian Ma

IEEE J. Solid State Circuits, 2021

A 10-MHz DAB Hysteretic Control Switching Power Converter for 5G IoT Power Delivery.

Kang Wei, Dongsheng Brian Ma

IEEE J. Solid State Circuits, 2021

Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design.

Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor

IEEE Internet Things J., 2021

On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

CoRR, 2021

Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor

CoRR, 2021

2020

Federated Learning With Differential Privacy: Algorithms and Performance Analysis.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2020

Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients.

Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor

CoRR, 2020

Performance Analysis and Optimization in Privacy-Preserving Federated Learning.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

CoRR, 2020

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.

Kang Wei, Yogesh Ramadass, Dongsheng Brian Ma

Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

2019

Page-Based Dynamic Partitioning Scheduling for LDPC Decoding in MLC NAND Flash Memory.

Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Francis C. M. Lau

IEEE Trans. Circuits Syst. II Express Briefs, 2019

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.

Kang Wei, Bumkil Lee, Dongsheng Brian Ma

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

A Review of Asset Administration Shell.

Kang Wei, Jianzhi Sun, Ruijun Liu

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

2018

Read-Voltage Optimization for Finite Code Length in MLC NAND Flash Memory.

Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Yonghui Li

Proceedings of the IEEE Information Theory Workshop, 2018

Model-based adaptation to extreme physical environments: a case study on mixed-criticality industrial ethernet.

Zonghui Li, Hai Wan, Yangdong Deng, Qinghan Yu, Tianchi Li, Kang Wei, Ming Gu

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

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).

Lei She, Xibin Zhao, Yu Chen, Heyuan Shi, Kang Wei

计算机科学, 2017

Comparative topology and power loss study for high power density and high conversion ratio integrated switching power converters.

Kang Wei, Dongsheng Brian Ma

Proceedings of the 8th IEEE Latin American Symposium on Circuits & Systems, 2017