Chengze Jiang

According to our database, Chengze Jiang authored at least 28 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Gradient Perturbation Guidance for Boosting Sparse Adversarial Attack Transferability.

Chengze Jiang, Zhuangzhuang Wang, Minjing Dong, Jie Gui, Lu Dong, Yuan Yan Tang, James Tin-Yau Kwok

IEEE Trans. Circuits Syst. Video Technol., May, 2026

Rethinking Frequency Modeling: Tail-Aware Dynamic Adversarial Training for Long-Tailed Robustness.

Chengze Jiang, Minjing Dong, Zhuangzhuang Wang, Jie Gui, Ju Jia, Yuan Yan Tang, James Tin-Yau Kwok

IEEE Trans. Inf. Forensics Secur., 2026

Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective.

Jie Gui, Chengze Jiang, Minjing Dong, Kun Tong, Xinli Shi, Yuan Yan Tang, Dacheng Tao

IEEE Trans. Dependable Secur. Comput., 2026

Discrete zeroing neural dynamic with noise tolerance for image deblurring.

Cong Lin, Fenghao Zhuang, Jiahao Li, Chengze Jiang, Yuanyuan Wu

Expert Syst. Appl., 2026

Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference.

Chengze Jiang, Minjing Dong, Xinli Shi, Jie Gui

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Diversifying Counterattacks: Orthogonal Exploration for Robust CLIP Inference.

Chengze Jiang, Minjing Dong, Xinli Shi, Jie Gui

CoRR, November, 2025

Towards Adversarial Training under Hyperspectral Images.

Weihua Zhang, Chengze Jiang, Jie Gui, Lu Dong

CoRR, October, 2025

A Review on Zeroing Neural Networks.

Chengze Jiang, Jie Gui, Long Jin, Shuai Li

CoRR, July, 2025

Survey of Adversarial Robustness in Multimodal Large Language Models.

Chengze Jiang, Zhuangzhuang Wang, Minjing Dong, Jie Gui

CoRR, March, 2025

Improving Fast Adversarial Training via Self-Knowledge Guidance.

Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok

IEEE Trans. Inf. Forensics Secur., 2025

Adaptive gradient-aware neural dynamics: Towards fast and accurate solutions for dynamic convex optimization.

Chengze Jiang, Aiping Ye, Huiting He, Xiuchun Xiao, Cong Lin

Eng. Appl. Artif. Intell., 2025

FT-GPNN: A finite-time convergence solution for multi-set constrained optimization.

Huiting He, Chengze Jiang, Zhiyuan Song, Xiuchun Xiao, Neal Xiong

Appl. Soft Comput., 2025

Single Image Super-Resolution Reconstruction Based on Multilayer Residual Networks With Attention Mechanisms.

Zhao Lu, Zhenbiao Tu, Zongxin Zhang, Chengze Jiang, Pengyun Chen

IEEE Access, 2025

2024

Noise-tolerate and adaptive coefficient zeroing neural network for solving dynamic matrix square root.

Xiuchun Xiao, Chengze Jiang, Qixiang Mei, Yudong Zhang

CAAI Trans. Intell. Technol., February, 2024

ACGND: towards lower complexity and fast solution for dynamic tensor inversion.

Aiping Ye, Xiuchun Xiao, Hua Xiao, Chengze Jiang, Cong Lin

Complex Intell. Syst., 2024

Taxonomy Driven Fast Adversarial Training.

Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection.

Xiuchun Xiao, Chengze Jiang, Long Jin, Haoen Huang, Guan-Cheng Wang

Expert Syst. Appl., November, 2023

A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection.

Huiting He, Chengze Jiang, Xiuchun Xiao, Guancheng Wang

Appl. Intell., October, 2023

Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation.

Haoen Huang, Zifan Huang, Chaomin Wu, Chengze Jiang, Dongyang Fu, Cong Lin

Neural Process. Lett., February, 2023

Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation.

Chengze Jiang, Xiuchun Xiao

IEEE CAA J. Autom. Sinica, 2023

Robust neural dynamics with adaptive coefficient applied to solve the dynamic matrix square root.

Chengze Jiang, Chaomin Wu, Xiuchun Xiao, Cong Lin

Complex Intell. Syst., 2023

2022

A Non-Convex Activation and Noise-Suppressing Zeroing Neural Network for Finding Time-Varying Matrix Square Root.

Mianjie Zheng, Chengze Jiang, Ying Liufu, Xiuchun Xiao

IEEE Access, 2022

Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation.

Kunjian Li, Chengze Jiang, Xiuchun Xiao, Haoen Huang, Yongjiang Li, Jingwen Yan

IEEE Access, 2022

2021

Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem.

Chengze Jiang, Xiuchun Xiao, Dazhao Liu, Haoen Huang, Hua Xiao, Huiyan Lu

IEEE Trans. Ind. Informatics, 2021

Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization.

Chengze Jiang, Long Jin, Xiuchun Xiao

CoRR, 2021

Solving Time-Varying Complex-Valued Sylvester Equation via Adaptive Coefficient and Non-Convex Projection Zeroing Neural Network.

Jiahao Wu, Chengze Jiang, Baitao Chen, Qixiang Mei, Xiuchun Xiao

IEEE Access, 2021

Modified Newton Integration Algorithm With Noise Tolerance for Discrete Algebraic Matrix Riccati Equation.

Siyuan Liao, Dongyang Fu, Haoen Huang, Chengze Jiang

IEEE Access, 2021

2020

A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion.

Xiuchun Xiao, Chengze Jiang, Huiyan Lu, Long Jin, Dazhao Liu, Haoen Huang, Yi Pan

Inf. Sci., 2020