2010-2014 学士            西安电子科技大学

2017-2023 硕博            南京理工大学（导师：李骏教授，IEEE Fellow）

2021-2021 犀牛鸟计划  腾讯科技（深圳）有限公司数据平台部

2023-2025 博士后         香港理工大学（导师：郭嵩教授，加拿大工程院/欧洲科学院院士、长江讲座教授、IEEE Fellow、现香港科技大学讲席教授）

期刊编委：

Associate Editor, IEEE Transactions on Sustainable Computing (JCR Q2), 2025.05 -now

Young Editorial Board, Cybersecurity (JCR Q1), 2024.05 -now

程序委员会：

Program Committee, WWW (CCF-A Conference), 2025

Program Committee, AAAI (CCF-A Conference), 2025

Program Chair, IEEE ICWS-Internet of Intelligent Service Systems (IISS) Workshop (CCF-B Conference), 2024

Session Chair, ICWS 32: Services Security, Privacy and Trust and ICWS 33: Services Optimization, IEEE ICWS (CCF-B Conference), 2024

Program Committee Member, IEEE iThings-International Workshop on Future Mobile Computing and Networking for Internet of Things (FMobile) (CCF-C Conference), 2023

审稿：

Nature Communications, PATTERNS, TIFS, TSP, KDD, ICLR, ICML, NeurIPS and etc.

人工智能隐私安全、无线云边端协同网络、分布式机器学习

本人长期从事无线通信网络和人工智能隐私安全等领域的研究工作，并取得了创新性的研究成果，在Proceedings of the IEEE、IEEE JSAC、IEEE TIFS、ICML等旗舰会议期刊发表论文40余篇(CCF-A类/中科院1区25篇)，专著章节1篇，第一/通讯作者论文13篇(CCF-A类/中科院1区10篇)，其中ESI高被引论文3篇，谷歌学术被引用逾3500次(截至2025年4月)，单篇一作论文最高被引用逾2200次(截至2025年4月)。团队与该方向海（境）外课题组有紧密的联系与合作，包括普林斯顿大学H. Vincent Poor教授(中国科学院外籍院士、美国科学院院士、美国工程院院士、IEEE Life Fellow)、香港科技大学郭嵩教授(加拿大工程院院士、欧洲科学院院士、长江讲座教授、IEEE Fellow)、CSIRO丁铭研究员和袁昕研究员等。

招收25级考研、26级保研以及本科实习生：

欢迎学习态度良好、致力于科学研究、具有相关专业背景(人工智能、网络空间安全、计算机科学、通信网络)的同学与我联系，将简历发送至我的邮箱：kang.wei@seu.edu.cn。课题组目前与李松泽教授共同培养员工。作为科研合作导师，本人博士后期间已协助指导8名硕士研究生，其中1人获得国家奖学金，1人获得美国杜克大学和南洋理工大学博士offer，1人入选腾讯犀牛鸟精英人才培养计划，多位同学进入华为2012、阿里巴巴和省电信等企业工作。

参与江苏省科技厅产业前瞻《6G智能无线通信关键技术研发》、工信部创新发展工程《面向典型行业的工业互联网“5G+边缘计算”服务平台》、科技部重点研发《物联网动态环境下区块链可信组网与高效协同技术》、广东省重点研发“新一代人工智能”专项《面向人机协同的边缘计算开放系统研发及应用》以及香港研究资助局AoE《6G: Wireless Access and Connectivity for an Intelligent and Sustainable World》等项目。

入选斯坦福大学全球前2%顶尖科学家榜单(August 2024)

2023年香港理工大学博士后奖学金

2023年中国电子学会网络空间安全大会优秀学术论文

2022年IEEE信号处理学会最佳论文奖

Wiley中国开放科学2022年度作者

2021年美国国立卫生研究院iDASH隐私计算大赛第一名

2025年：

1. Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, Song Guo. Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence. IEEE Transactions on Mobile Computing (TMC),  2025. (CCF-A, JCR Q1)

2024年：

1. 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 Transactions on Dependable and Secure Computing (TDSC), 2024. (CCF-A, JCR Q1)

2. 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. SCIENCE CHINA Information Sciences (SCIS), 2024. (CCF-A, JCR Q1)

3. Shuchi Wu, Chuan Ma, Kang Wei (通讯作者), Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang. Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction. The 18th European Conference on Computer Vision (ECCV), 2024. (CCF-B)

4. 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 Transactions on Mobile Computing (TMC), 2024. (CCF-A, JCR Q1)

5. Yumeng Shao, Jun Li, Ming Ding, Kang Wei, Chuan Ma, Long Shi, Wen Chen, Shi Jin. Design of Anti-Plagiarism Mechanisms in Decentralized Federated Learning. IEEE Transactions on Services Computing (TSC), 2024. (CCF-A, JCR Q1)

6. 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. SCIENCE CHINA Information Sciences (SCIS), 2024. (CCF-A, JCR Q1)

7. 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 Transactions on Wireless Communications (TWC), 2024. (CCF-B, JCR Q1)

8. 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 Transactions on Services Computing (TSC), 2024. (CCF-A, JCR Q1)

9. 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 Transactions on Computers (TC), 2024. (CCF-A, JCR Q1)

10. 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. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (AAAI), 2024. (CCF-A)

2023年：

1. Kang Wei, Jun Li, Ming Ding, Chuan Ma, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor. Personalized Federated Learning with Differential Privacy and Convergence Guarantee. IEEE Transactions on Information Forensics & Security (TIFS), 2023. (CCF-A, JCR Q1)

2. Chuan Ma, Jun Li, Kang Wei(通讯作者), 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. Proceedings of the IEEE, 2023. (CCF-A, JCR Q1)

3. Xin Yuan, Wei Ni, Ming Ding, Kang Wei(通讯作者), Jun Li, H. Vincent Poor. Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. IEEE Transactions on Information Forensics and Security (TIFS), 2023. (CCF-A, JCR Q1)

4. Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei(通讯作者), Jian Weng, H. Vincent Poor. RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network. IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. (CCF-A, JCR Q1)

5. Jun Li, Kang Wei, Chuan Ma, Feng Shu. DP-GenFL: A local differentially private federated learning system through generative data.  SCIENCE CHINA Information Sciences (SCIS), 2023. (CCF-A, JCR Q1)

6. Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao. Improving the Model Consistency of Decentralized Federated Learning. The 40th International Conference on Machine Learning (ICML), 2023. (CCF-A)

7. Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao. Make Landscape Flatter in Differentially Private Federated Learning. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023. (CCF-A)

8. Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding and Wen Chen, Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks, IEEE Journal on Selected Areas in Communications (JSAC), 2023. (CCF-A, JCR Q1)

9. Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen and H. Vincent Poor, Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling, IEEE Transactions on Wireless Communications (TWC), 2023. (CCF-B, JCR Q1)

2022年及以前：

1. 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 Journal on Selected Areas in Communications (JSAC), 2022. (CCF-A, JCR Q1)

2. 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 Transactions on Mobile Computing (TMC), 2022. (CCF-A, JCR Q1, 中国电子学会网络空间安全大会优秀论文，ESI高被引论文)

3. 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 Transactions on Parallel and Distributed Systems (TPDS), 2022. (CCF-A, JCR Q1，ESI高被引论文)

4. 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 Transactions on Information Forensics and Security (TIFS), 2020. (CCF-A, JCR Q1，IEEE SPS Best Paper, ESI高被引论文)

5. 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 Transactions on Circuits and Systems II: Express Briefs (TCAS-II), 2019. (JCR Q2)

6. Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Yonghui Li. Read-Voltage Optimization for Finite Code Length in MLC NAND Flash Memory. IEEE Information Theory Workshop (ITW), 2018.