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》； 在国内外重要学术会议和刊物上发表学术论文60余篇，包括ICCV、ICDE、AAAI、TNNLS、TMI、TAI、TII、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，是ICCV、CVPR、Nips、T-ITS、TFS等国际顶级会议和期刊的审稿人。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. J.T.Wu, X.T. Huang, Yu Chen, S. Pang, K. Wang*, Scaling and Taming Adversarial Training with Synthetic Data,  International Conference on Computer Vision (ICCV 2025). 

2. J.T. Wu, Z.Y.Song, X.Y. Zhang, S.J.Xie, L.X. Lin, K. Wang*, Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness, The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025). 

3. D.H. Zhou, B.W. Wu, K. Wang*, Q.F. Yang, Y.H. Deng, S.M.Yiu, Intervention-Driven Correlation Reduction: A Data Generation Approach for Achieving Counterfactually Fair Predictors, International Conference on Data Engineering(ICDE 2025).  

4. 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,  36(2): 2118-2132, 2024.

5. K. Wang, et.al.,Score-based Counterfactual Generation for Interpretable Medical Image Classification and Lesion Localization, IEEE Transactions on Medical Imaging, 43(10): 3596-3607, 2024.

6. 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):9755-9764,2022. 

7. 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.

8. 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. 

9. 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. 

10. K. Wang, et.al., Optimizing Neural Network Training: A Markov Chain Approach for Resource Conservation,  IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2024.3413688, 2024.

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

12. 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),  24(8): 8465-8474, 2023.

13. 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.

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

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

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

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

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

19. 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. 

20. 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. 

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

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

23. 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. 

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

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《数据结构（全英）》

《新一代人工智能技术（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）》

国际期刊HCIS（中科院一区）的Associate Editor