Xinze Zhang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Reinforced Decoder: Toward Training Recurrent Neural Networks for Time-Series Forecasting.
IEEE Trans. Ind. Informatics, June, 2026
IEEE Trans. Big Data, June, 2026
Enhancing Security and Acuity of Smart Contract Vulnerability Detection Based on Federated Learning and BiLSTM-Attention.
ACM Trans. Softw. Eng. Methodol., April, 2026
CoRR, February, 2026
Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization.
CoRR, January, 2026
The LLN and CLT for the statistical ensembles of discrete integrable Hamiltonian systems.
Commun. Nonlinear Sci. Numer. Simul., 2026
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
Enhancing echo state network with reservoir state selection for time series forecasting.
Neurocomputing, 2025
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
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
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