个人信息
姓名：王岢
部门：暨南大学信息科学技术学院、网络空间安全学院、广东智慧教育研究院
职称：教授
学位：博士学位
邮箱：wangke@jnu.edu.cn
个人简介
暨南大学信息科学与技术学院、网络空间安全学院、广东智慧教育研究院教授，博士生导师。出版了国家重点大学计算机专业系列教材《对等网络、网格计算与云计算:原理与安全》及国外计算机科学教材系列译著《软件设计-从程序设计到体系结构》；在国籍重要会议、学术刊物上发表学术论文60余篇，包括AAAI、ICDE、TNNLS、TMI、T-ITS、TNSM、PR等。是中国计算机学会CCF常务委员，中国人工智能学会青工委委员，担任中科院一区Top的期刊HCIS的Associate Editor。培养了超过60余名研究生中，毕业去向有10%去境外攻读博士，包括卡内基梅隆大学、香港中文大学、香港科技大学、新加坡国立大学、澳门大学、芝加哥大学等，90%就业于字节跳动、百度、阿里、腾讯及其它人工智能领域知名企业。
研究方向
新一代人工智能技术、人工智能安全、机器学习、信息安全
主要论文
1. D.H.Zhou, B.W.Wu, K. Wang*, et.al., Intervention-Driven Correlation Reduction: A Data Generation Approach for Achieving Counterfactually Fair Predictors, IEEE International Conference on Data Engineering (ICDE), 2025.
2. J.T. Wu, .., K. Wang*, Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness, AAAI 2025.
3.K. Wang, et.al., A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2024.3359269. 2024.
4.K. Wang, et.al., Score-based Counterfactual Generation for Interpretable Medical Image Classification and Lesion Localization, IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2024.3375357, 2024.
5.K. Wang, et.al., Interpreting Adversarial Examples and Robustness for Deep Learning-based Auto-Driving Systems, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 23(7):9755-9764, DOI: 10.1109/TITS.2021.3108520, 2022.
6.K. Wang, et.al., AFFIRM: Provably Forward Privacy for Searchable Encryption in Cooperative Intelligent Transportation System, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 23(11): 22607-22618, 2022.
7.K. Wang, et.al., Statistics-Physics-Based Interpretation of the Classification Reliability of Convolutional Neural Networks in Industrial Automation Domain, IEEE Transactions on Industrial Informatics (TII), 19(2):2165-2172, 2023.
8.K. Wang, et.al., Voice-Transfer Attacking on Industrial Voice Control Systems in 5G-Aided IIoT Domain, IEEE Transactions on Industrial Informatics (TII), 17(10):7085-7092, 2021.
9. K. Wang, X. Huang, C. Tan, S. -M. Yiu, Z. Chen and X. Lei, Optimizing Neural Network Training: A Markov Chain Approach for Resource Conservation, IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2024.3413688, 2024.
10. K. Wang, et.al., Forward Privacy Preservation in IoT enabled Healthcare Systems, IEEE Transactions on Industrial Informatics (TII), 18(3): 1991-1999, 2022.
11. P.Xu, K. Wang*, et.al., Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems, IEEE Transactions on Intelligent Transportation Systems (T-ITS), doi:10.1109/TITS.2022.3197713, 2023.
12. P. Xu, K. Wang*, et.al., An Interpretive Perspective: Adversarial Trojaning Attack on Neural-Architecture-Search Enabled Edge AI Systems, IEEE Transactions on Industrial Informatics (TII), 19(1):503-510,2023.
13. K. Wang, et.al., Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation, Pattern Recognition, 143, 109745, 2023.
14. K. Wang, et.al., Neural Architecture Search Based Multiobjective Cognitive Automation System, IEEE Systems Journal, 15(2):2918-2925, 2021.
15. K. Wang, et.al., A Trusted Consensus Scheme for Collaborative Learning in the Edge AI Computing Domain, IEEE Network, 35(1): 204-210, 2021.
16. K. Wang, et.al., A Trusted Consensus Fusion Scheme for Decentralized Collaborative Learning in Massive IoT Domain, Information Fusion, 72(1): 100-109, 2021.
17. K. Wang, et.al., Neural architecture search for robust networks in 6G-enabled massive IoT domain. IEEE Internet of Things Journal, 8(7), 5332-5339, 2021.
18. K. Wang, et.al., A Dynamic Trust Framework for Opportunistic Mobile Social Networks. IEEE Transactions on Network and Service Management (TNSM), 15(1): 319-329, 2018.
19. K. Wang, et.al., Transfer Reinforcement Learning-based Road Object Detection in Next Generation IoT Domain, Computer Networks, 2021, 108078.
20. K. Wang, et.al., Proof of X-Repute Blockchain Consensus Protocol for IoT Systems, Computers & Security, 95:101071, 2020.
21. L.Lin, Z. Xu, C. M. Chen, K. Wang*, et.al., Understanding the impact on convolutional neural networks with different model scales in AIoT domain. Journal of Parallel and Distributed Computing (JPDC), vol. 170, 1-12, 2023.
22. J.Guan, K. Wang*, Repeated review based image captioning for image evidence review. Signal Processing: Image Communication, 63(C):141-148,2018.
讲授课程
《数据结构（全英）》
《人工智能高阶课程（全英）》
《计算机基础（全英）》
《信息安全与管理（全英）》
社会职务
国际期刊HCIS（中科院一区）的Associate Editor