Kang Wei 0004 - researchr alias

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Viewing Publication 1 - 12 from 12

2026

Graph Neural Networks via AirComp: Algorithms and Performance AnalysisKang Wei 0004, Guangji Chen, Yan Hong 0002, Long Shi 0001, Feng Shu 0002. wcl, 15:1499-1503, 2026. [doi]

Machine Learning-Based Near-Field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive ArrayJiatong Bai, Yifan Li, Feng Shu 0002, Wei Zhu 0029, Kang Wei 0004, Cunhua Pan, Yongpeng Wu 0001, Yaoliang Song, Jiangzhou Wang. tccn, 12:3748-3762, 2026. [doi]

Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT NetworkShunfeng Chu, Jun Li, Jianxin Wang 0002, Yiyang Ni, Kang Wei 0004, Wen Chen 0001, Shi Jin 0002. tgcn, 10:201-217, 2026. [doi]

Mobility in Hierarchical Federated Learning: Resource Allocation and Convergence AnalysisKecheng Fan, Wen Chen 0001, Jun Li 0004, Qingqing Wu 0001, Ming Ding 0001, XueFeng Han, Kang Wei 0004, Xiumei Deng. tccn, 12:2737-2752, 2026. [doi]

Low-Latency Federated Fine-Tuning for Large Language Models Over Wireless NetworksZhiwen Pang, Kang Wei 0004, Long Shi 0001, Zhe Wang 0005, Jun Li 0004, Feng Shu 0002. wcl, 15:2179-2183, 2026. [doi]

Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and OptimizationsYumeng Shao, Jun Li 0004, Long Shi 0001, Kang Wei 0004, Ming Ding 0001, Qianmu Li, Zengxiang Li, Wen Chen 0001, Shi Jin 0002. tetc, 14(1):160-171, January - March 2026. [doi]

When MoE Meets Blockchain: A Trustworthy Distributed Framework of Large ModelsWeihao Zhu, Long Shi 0001, Kang Wei 0004, Zhen Mei 0001, Zhe Wang 0005, Jiaheng Wang 0001, Jun Li 0108. cm, 64(4):150-157, April 2026. [doi]

2025

Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive OptimizationXiumei Deng, Jun Li 0004, Kang Wei 0004, Long Shi 0001, Zehui Xiong, Ming Ding 0001, Wen Chen 0001, Shi Jin 0002, H. Vincent Poor. tsp, 73:4043-4059, 2025. [doi]

DNN-Based Enhanced DOA Sensing via Massive MIMO Receiver With Switches-Based Hybrid ArchitectureYifan Li, Kang Wei 0004, Linqiong Jia, Kingsley J. Zou, Feng Shu 0002, Yaoliang Song, Jiangzhou Wang. tce, 71(3):8192-8204, August 2025. [doi]

Toward the Flatter Landscape and Better Generalization in Federated Learning Under Client-Level Differential PrivacyYifan Shi, Kang Wei 0004, Li Shen 0008, Yingqi Liu, Xueqian Wang 0001, Bo Yuan 0003, Dacheng Tao. pami, 47(12):11632-11643, December 2025. [doi]

Stackelberg Game-Based Hierarchical Incentive Mechanism for Clustered Vehicular Federated LearningSiyang Wang, Wenchao Xia, Haitao Zhao 0004, Kang Wei 0004, Tony Q. S. Quek, Hongbo Zhu 0002. tcom, 73(10):9071-9086, October 2025. [doi]

Randomized DP-DFL: Towards Differentially Private Decentralized Federated Learning via Randomized Model InteractionWeihao Zhu, Long Shi 0001, Kang Wei 0004, Yipeng Zhou, Zhe Wang 0005, Zehui Xiong, Jun Li. tmc, 24(12):12802-12817, December 2025. [doi]

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