Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting. - Xinze Zhang; Kun He 001; Yukun Bao (CoRR, 2020)

Crafting Adversarial Examples for Neural Machine Translation. - Xinze Zhang; Junzhe Zhang 004; Zhenhua Chen 007; Kun He 001 (ACL/IJCNLP (1), 2021)

Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks. - Xinze Zhang; Kun He 001; Yukun Bao (Neurocomputing, 2021)

Radar-Based Eyeblink Detection Under Various Conditions. - Xinze Zhang; Walid Brahim; Mingyang Fan; Jianhua Ma 001; Muxin Ma; Alex Qi (ICSCA, 2023)

Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification. - Zhenhua Chen 007; Xinze Zhang; Kun He 001 (IJCNN, 2024)

Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting. - Xinze Zhang; Kun He 001; Qi Sima; Yukun Bao (Appl. Soft Comput., 2024)

Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting. - Qi Sima; Xinze Zhang; Yukun Bao; Siyue Yang; Liang Shen (CoRR, 2024)

Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models. - Renhua Ding; Xinze Zhang; Xiao Yang; Kun He 001 (CoRR, 2024)

Advancing SAR Image Robustness: Integrating Diffusion Models for Adversarial Purification and Speckle Noise Suppression. - Ganglin Xie; Haobo Lu; Xinze Zhang; Kun He 001 (ICASSP, 2025)

Fading-Invariant Adversarial Attacks on Neural Modulation Recognition. - Xinze Zhang; Dengao Zhu; Xiyao Dong; Kun He 001 (ICASSP, 2025)

SNOW: An Effective Smart Contract Reentrancy Vulnerability Detection Method Based on Joint Feature Graph and Hybrid Graph Neural Network. - Wenjuan Lian; Xinze Zhang; Zikang Bao; Bin Jia (Softw. Pract. Exp., 2025)

A Universal and Efficient Multi-Modal Smart Contract Vulnerability Detection Framework for Big Data. - Wenjuan Lian; Zikang Bao; Xinze Zhang; Bin Jia; Yang Zhang 091 (IEEE Trans. Big Data, 2025)

A Fair and Trustworthy Hierarchical Federated Learning Scheme for Digital Twins in the Internet of Vehicles. - Qi Fan; Yang Xin 001; Bin Jia; Xinze Zhang (IEEE Internet Things J., 2025)