• 学术出版：主编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》，译著国外经典计算机科学教材《软件设计：从程序设计到体系结构》。

• 学术成果：在 ICCV、ICDE、AAAI、ICME、ACL 等国际顶级学术会议，及 TNNLS、TMI、TAI、TII、T-ITS、TNSM、PR 等权威期刊发表论文 60 余篇，研究方向覆盖人工智能、大模型、智能体、多模态融合等前沿领域。

• 学术任职：担任中国人工智能学会青工委委员，深度参与人工智能领域学术生态建设与行业标准制定。

学生培养与发展

• 学术深造：20% 毕业生赴境外顶尖高校（如 CMU、港中文、港科大、新国立等）继续攻读博士学位，在人工智能、生物医药交叉领域深耕前沿，成长为学术新星；

• 职业发展：80% 毕业生成功入职字节跳动、阿里、腾讯、华为等人工智能领域头部企业，成长为核心技术骨干、算法负责人及业务管理者，广受行业认可与重用；

• 培养特色：鼓励学生深度参与产业级 AI项目研发，在真实场景中锤炼算法设计、工程实现与落地能力；全程提供顶会论文指导、海外交流推荐、职业规划定制等全方位支持，让每一位学生都能找到适合自己的成长路径。

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招生寄语

热忱欢迎 985、211 高校本科推免生（可直博）、考研生提前联系！在这里，在这里，你将站在 AI 与多领域交叉的前沿阵地，获得：

• 顶会顶刊论文发表的专业指导

• 产业级 AI 智能体项目的实战机会

• 海内外顶尖高校的交流推荐

• 清晰的职业规划与成长路径

与我们一同深耕人工智能前沿，在交叉学科创新中成长为兼具学术视野与工程能力的 AI 领域领军人才！

• ✅ 成药性优化智能体：联合暨大全重实验室、华为等企业，助力先导化合物成药性优化，大幅加速药物研发进程；

• ✅ 问法大模型：面向法律领域的智能问答与辅助决策大模型，实现法律知识高效检索与场景化应用；

• ✅ 电力设计智能体：赋能电力工程设计流程智能化，提升设计效率与决策科学性；

• ✅ 肿瘤激酶抑制剂智能体：针对肿瘤治疗靶点，辅助激酶抑制剂药物分子设计与筛选；

• ✅ 股票研判 AI 智能体：基于市场数据与情绪周期，构建短线、中线和长线量化分析与投资决策辅助系统；

• ✅ AI 游戏智能体：探索游戏场景下的智能交互与决策算法，推动游戏 AI 技术创新。

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