暨南大学信息科学与技术学院教授，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、ICME、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。培养了超过50余名硕、博士研究生，主要分两方向培养，继续学术深造和就业，去境外攻读博士学位的比例20%，80%就业于字节跳动、BAT及其它人工智能领域知名企业。

欢迎985、211高校的本科推免生，可直博，欢迎考研生、推免生提前联系。

新一代人工智能技术（大模型、智能体、多模态融合等）

1. J. Chi, K. Wang*, et.al.，Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations，the 40th AAAI Conference on Artificial Intelligence (AAAI 2026).  

2. J.T.Wu, ..., K. Wang*, Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints, The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).

3. 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).

4. 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 39th AAAI Conference on Artificial Intelligence (AAAI 2025). 

5. Y. Chen, K. Wang*, et.al.，Semantic-Guided Fast Adversarial Training via Class Relationship Exploitation, 16th ACM International Conference on Multimedia Retrieval (ICMR 2026).

6. Y. Chen, K. Wang*, et.al.，BridgeARD: Bridging the Latent Gap for Dual-Teacher Adversarial Robust Distillation, International Conference on Multimedia and Expo (ICME 2026).

7. Y. Chen, K. Wang*,et.al.，Feature Vulnerability-Aware Adversarial Training, International Conference on Multimedia and Expo (ICME 2026).

8. Y.Shuai, K. Wang*,et.al.，GAformer: Low-Light Image Enhancement Based on Gradient-Aware Kernel and Frequency-Modulated Transformer, 16th ACM International Conference on Multimedia Retrieval (ICMR 2026).

9. D.H. Zhou, B.W. Wu, K. Wang*,et.al.，Intervention-Driven Correlation Reduction: A Data Generation Approach for Achieving Counterfactually Fair Predictors, International Conference on Data Engineering(ICDE 2025).  

10. 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.

11. 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.

12. 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. 

13. 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.

14. 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. 

15. 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. 

16. 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.

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

18. 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.

19. 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.

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

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

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

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

    
    

《数据结构（全英）》

《新一代人工智能技术（全英）》

《人工智能与药学》

《人工智能高阶课程（全英）》

《新一代信息技术》

《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