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姓名：韦康

职称：副研究员

电话：

办公室：

个人主页：https://adamwei-boop.github.io/

邮箱：kang.wei@seu.edu.cn

教育背景

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）

学术兼职

  • 学会任职：

CCF高级会员、中国电子学会会员、IEEE会员

  • 期刊编委：

Associate Editor, IEEE Transactions on Sustainable Computing (JCR Q1), 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.

研究领域

人工智能隐私安全、无线云边端协同网络、分布式机器学习

研究概况

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 TPAMI、IEEE TIFS、ICML等旗舰会议期刊发表论文50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17篇(CCF-A类/中科院1区12篇)，其中ESI高被引论文4篇，谷歌学术被引用逾4700次，单篇一作论文最高被引用逾2700次。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26级考研以及本科实习生：

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。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。

希望帮助学生在研究生阶段培养科研思维，可以继续科研，可以去业界，也可以创业或做其他职业，做喜欢的、适合的事业，研究思维应该帮助学生把路越走越宽，而不是越走越窄。

最近动态

研究课题

主持：国家自然科学基金、江苏省自然科学基金

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》、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》、香港研究资助局AoE《6G: Wireless Access and Connectivity for an Intelligent and Sustainable World》、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》等


奖励与荣誉

IEEE TPDS 2022 (33(10): 2401-2415)、TIFS 2023 (18: 4488-4503)、Proc. IEEE 2023 (111(9): 1097-1132)入选IEEE通信学会最佳读物

2025 IEEE CCAI Best Student Paper Award

2024、2025 斯坦福大学全球前2%顶尖科学家

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

2022 Wiley中国开放科学年度作者

2021 年美国国立卫生研究院iDASH隐私计算大赛第一名

课程信息

研究生专业课：《安全分布式计算》，32学时


学术成果

  • 期刊论文:

  1. Yifan Shi, Kang Wei (共同一作), 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. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A, JCR Q1)

  2. 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)

  3. 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)

  4. 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, IEEE ComSoc Best Readings, ESI高被引)

  5. 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)

  6. 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)

  7. 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 Signal Processing Society Best Paper Award, ESI高被引)

  8. 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)

  9. Weihao Zhu, Long Shi, Kang Wei (通讯作者), Yipeng Zhou, Zhe Wang, Zehui Xiong, Jun Li. Randomized DP-DFL: Towards Differentially Private Decentralized Federated Learning via Randomized Model Interaction. IEEE Transactions on Mobile Computing (TMC),  2025. (CCF-A, JCR Q1)

  10. Jun Li, Weiwei Zhang, Kang Wei(通讯作者), Guangji Chen, Long Shi, Wen Chen, Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint. IEEE Wireless Communications Letters, 2024. (JCR Q1)

  11. Jun Li, Weiwei Zhang, Kang Wei(通讯作者), Guangji Chen, Feng Shu, Wen Chen, Shi Jin, Blockchain-aided Wireless Federated Learning: Resource Allocation and Client Scheduling. IEEE Internet of Things Journal, 2024.(JCR Q1)

  12. 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, IEEE ComSoc Best Readings)

  13. 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)

  14. Jun Li, Haiyang Sun, Xiumei Deng, Kang Wei(通讯作者), Long Shi, Le Liang, Wen Chen.  Mobility-Aware User Scheduling in Wireless Federated Learning with Contextual Multi-Armed Bandit. China Communications, 2025. (JCR Q2)

  15. 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)

  16. 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)

  17. 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)

  18. 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, 中国电子学会网络空间安全大会优秀论文, ESI高被引, IEEE ComSoc Best Readings)

  19. Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zehui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor. Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization,  IEEE Transactions on Signal Processing (TSP), 2025. (JCR Q1)

  20. Yumeng Shao, Jun Li, Kang Wei, Ming Ding, Feng Shu, Wen Chen. Enhancing Antiplagiarism Measures in Blockchain-Based Decentralized Federated Learning for Cross-Enterprise Modeling. IEEE Transactions on Industrial Informatics (TII), 2025. (JCR Q1)

  • 会议论文:

  1. Weihao Zhu, Haoyu Wang, Long Shi, Kang Wei, Chuan Ma, Zhe Wang, Feng Shu. Towards Communication-Efficient Federated Learning via Loss-aware Quantization, IEEE the 5th International Conference on Computer Communication and Artificial Intelligence (CCAI), 2025. (Best Student Paper Award)

  2. 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)

  3. 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)

  4. 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)

  5. 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)

  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.


其他