Xinze Zhang

Orcid: 0000-0002-5070-348X

According to our database1, Xinze Zhang authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
A Fair and Trustworthy Hierarchical Federated Learning Scheme for Digital Twins in the Internet of Vehicles.
IEEE Internet Things J., July, 2025

A Universal and Efficient Multi-Modal Smart Contract Vulnerability Detection Framework for Big Data.
IEEE Trans. Big Data, February, 2025

SNOW: An Effective Smart Contract Reentrancy Vulnerability Detection Method Based on Joint Feature Graph and Hybrid Graph Neural Network.
Softw. Pract. Exp., 2025

Fading-Invariant Adversarial Attacks on Neural Modulation Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Advancing SAR Image Robustness: Integrating Diffusion Models for Adversarial Purification and Speckle Noise Suppression.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models.
CoRR, 2024

Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting.
CoRR, 2024

Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting.
Appl. Soft Comput., 2024

Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Radar-Based Eyeblink Detection Under Various Conditions.
Proceedings of the 12th International Conference on Software and Computer Applications, 2023

2021
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks.
Neurocomputing, 2021

Crafting Adversarial Examples for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting.
CoRR, 2020


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