近年来，围绕人工智能安全、对抗机器学习与可信智能等方向开展研究，在 AAAI、IEEE Transactions on Information Forensics and Security、IEEE Transactions on Dependable and Secure Computing、IEEE Transactions on Circuits and Systems for Video Technology、IEEE Transactions on Multimedia、IEEE Transactions on Industrial Informatics、IEEE Transactions on Industrial Electronics 等国际会议和期刊发表论文30余篇，其中多篇以第一作者或通讯作者发表于CCF-A类会议/期刊及中科院一区期刊。长期担任 IEEE TIFS、IEEE TIP、IEEE TNNLS、IEEE TCSVT、IEEE TIE 等国际期刊审稿人。

本人与华中科技大学、电子科技大学、兰州大学、香港城市大学、香港理工大学、新加坡国立大学等国内外高校保持长期科研合作，具备良好的科研合作基础。近年来积极参与学生科研培养工作，指导本科生和研究生开展科研实践，多名学生获得保研资格并进入电子科技大学、中国海洋大学、兰州大学、西安电子科技大学、深圳大学等高校继续深造，或进入腾讯、拼多多、阿里云、华为、华泰证券、交通银行等企业和机构实习就业。

2022年9月-2026年9月 东南大学 网络空间安全

多模态大模型攻防、对抗攻击与防御、对抗训练及智能优化等方向

• C. Jiang, M. Dong, J. Gui, et al. “Diversifying Counterattacks: Orthogonal Exploration for Robust CLIP Inference.” AAAI (Oral), vol. 40, no. 7, pp. 5359-5368, 2026.
  （CCF-A 类会议）

• C. Jiang, M. Dong, J. Gui, et al. “Rethinking Frequency Modeling: Tail-Aware Dynamic Adversarial Training for Long-Tailed Robustness.” IEEE Transactions on Information Forensics and Security, vol. 21, pp. 4190-4204, 2026.
  （中科院1区，IF=8.0，CCF-A 类期刊）

• C. Jiang, J. Wang, M. Dong, et al. “Improving Fast Adversarial Training via Self-Knowledge Guidance.” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 3772-3787, 2025.
  （中科院1区，IF=8.0，CCF-A 类期刊）

• C. Jiang, Z. Wang, M. Dong, et al. “Gradient Perturbation Guidance for Boosting Sparse Adversarial Attack Transferability.” IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 5, pp. 6361-6373, 2026.
  （中科院1区，IF=11.1）

• J. Gui, C. Jiang, M. Dong, et al. “Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective.” IEEE Transactions on Dependable and Secure Computing, vol. 23, no. 3, pp. 4845-4860, 2026.
  （中科院2区，IF=7.5，CCF-A 类期刊）

• C. Jiang, A. Ye, H. He, et al. “Adaptive Gradient-Aware Neural Dynamics: Towards Fast and Accurate Solutions for Dynamic Convex Optimization.” Engineering Applications of Artificial Intelligence, vol. 162, Part E, pp. 112798, 2025.
  （中科院1区，IF=8.0，CCF 推荐期刊）

• C. Jiang, X. Xiao, D. Liu, et al. “Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem.” IEEE Transactions on Industrial Informatics, vol. 17, no. 10, pp. 6864-6874, 2021.
  （中科院1区，IF=9.9，CCF 推荐期刊）

• C. Jiang, X. Xiao. “Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation.” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 1, Jan. 2023.
  （中科院1区，IF=19.2，计算领域高质量科技期刊分级 T1 类）

• X. Xiao, C. Jiang†, L. Jin, et al. “Nonlinear RNN with Noise-Immune: A Robust and Learning-Free Method for Hyperspectral Image Target Detection.” Expert Systems with Applications, vol. 229, pp. 120490, 2023.
  （中科院1区，IF=7.5，CCF 推荐期刊）

• X. Xiao, C. Jiang, Q. Mei, et al. “Noise-Tolerant and Adaptive Coefficient Zeroing Neural Network for Solving Dynamic Matrix Square Root.” CAAI Transactions on Intelligence Technology, vol. 9, no. 1, pp. 167-177, 2024.
  （中科院1区，IF=7.3）

• X. Xiao, C. Jiang, H. Lu, et al. “A Parallel Computing Method Based on Zeroing Neural Networks for Time-Varying Complex-Valued Matrix Moore-Penrose Inversion.” Information Sciences, vol. 524, pp. 216-228, 2020.
  （中科院1区，IF=6.8，CCF-B 类期刊）

• C. Lin, F. Zhuang, J. Li, C. Jiang†, Y. Wu†. “Discrete Zeroing Neural Dynamic with Noise Tolerance for Image Deblurring.” Expert Systems with Applications, vol. 296, pp. 128914, 2026.
  （中科院1区，IF=7.5，共同通讯作者）

• C. Jiang, C. Wu, X. Xiao, et al. “Robust Neural Dynamics with Adaptive Coefficient Applied to Solve the Dynamic Matrix Square Root.” Complex & Intelligent Systems, vol. 9, no. 4, pp. 4213-4226, 2023.（中科院2区）

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2. 北京智谱华章科技股份有限公司 SMP-清智大模型基金，项目骨干，在研

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4. 广东省自然科学基金面上项目，项目参与人，已结题

5. 广东省教育厅人工智能专项重点项目，项目参与人，已结题