暨南大学信息科学与技术学院/网络空间安全学院教授，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》； 在国内外重要学术刊物上发表学术论文60余篇，包括TNNLS、TMI、TII、T-ITS、TNSM、Pattern Recognition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，是IEEE TII, T-ITS、TFS等国际顶级期刊的审稿人。培养了超过50余名硕士研究生，毕业生的去向有10%去境外攻读博士，90%就业于字节跳动、BAT及其它人工智能领域知名企业。

新一代人工智能技术、人工智能安全、机器学习、信息安全

1. 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.

2. 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.

3. 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. 

4. K. Wang,et.al., Forward Privacy Preservation in IoT enabled Healthcare Systems, IEEE Transactions on Industrial Informatics (TII), 18(3):1991-1999, 2022.   

5. K. Wang, et.al., A Trusted Consensus Fusion Scheme for Decentralized Collaborative Learning in Massive IoT Domain, Information Fusion, 72(1):100-109, 2021. 

6. 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. 

7. 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. 

8. 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.

9. 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.

10. 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.

11. K. Wang, et.al., Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation, Pattern Recognition,143,109745, 2023. 

12. K. Wang, et.al., Neural Architecture Search Based Multiobjective Cognitive Automation System, IEEE Systems Journal, 15(2):2918-2925, 2021. 

13. K. Wang, et.al.，A Trusted Consensus Scheme for Collaborative Learning in the Edge AI Computing Domain, IEEE Network, 35(1):204-210, 2021. 

14. 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. 

15. K. Wang, et.al., Deep Semantics Sorting of Voice-Interaction-Enabled Industrial Control System, IEEE Internet of Things Journal, 10(4): 2793-2801, 2023.

16. 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. 

17. J.Guan, K. Wang*, Repeated review based image captioning for image evidence review. Signal Processing: Image Communication, 63(C):141-148,2018. 

18. K. Wang, et.al., Transfer Reinforcement Learning-based Road Object Detection in Next Generation IoT Domain, Computer Networks, 2021, 108078. 

19. K. Wang, et.al., Proof of X-Repute Blockchain Consensus Protocol for IoT Systems, Computers & Security, 95:101071, 2020.

20. 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. 

国际期刊HCIS（中科院一区）的Associate Editor