Xinze Zhang

18 papers B 1Misc 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Security and Acuity of Smart Contract Vulnerability Detection Based on Federated Learning and BiLSTM-Attention.
ACM Trans. Softw. Eng. Methodol.
Bin Jia, Xiaosong Zhang, Xinze Zhang, Ting Chen, Wenjuan Lian
2026 J jnl
Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization.
CoRR
Xin Lai, Shiming Deng, Lu Yu, Yumin Lai, Shenghao Qiao, Xinze Zhang
2026 J jnl
Temporally Unified Adversarial Perturbations for Time Series Forecasting.
CoRR
Ruixian Su, Yukun Bao, Xinze Zhang
2026 J jnl
The LLN and CLT for the statistical ensembles of discrete integrable Hamiltonian systems.
Commun. Nonlinear Sci. Numer. Simul.
Xinyu Liu, Xinze Zhang, Yong Li
2025 J jnl
A Fair and Trustworthy Hierarchical Federated Learning Scheme for Digital Twins in the Internet of Vehicles.
IEEE Internet Things J.
Qi Fan, Yang Xin, Bin Jia, Xinze Zhang
2025 J jnl
A Universal and Efficient Multi-Modal Smart Contract Vulnerability Detection Framework for Big Data.
IEEE Trans. Big Data
Wenjuan Lian, Zikang Bao, Xinze Zhang, Bin Jia, Yang Zhang
2025 Misc conf
Advancing SAR Image Robustness: Integrating Diffusion Models for Adversarial Purification and Speckle Noise Suppression.
ICASSP
Ganglin Xie, Haobo Lu, Xinze Zhang, Kun He
2025 J jnl
Enhancing echo state network with reservoir state selection for time series forecasting.
Neurocomputing
Qi Sima, Yukun Bao, Xinze Zhang, Kun He, Xin Lai
2025 Misc conf
Fading-Invariant Adversarial Attacks on Neural Modulation Recognition.
ICASSP
Xinze Zhang, Dengao Zhu, Xiyao Dong, Kun He
2025 J jnl
SNOW: An Effective Smart Contract Reentrancy Vulnerability Detection Method Based on Joint Feature Graph and Hybrid Graph Neural Network.
Softw. Pract. Exp.
Wenjuan Lian, Xinze Zhang, Zikang Bao, Bin Jia
2024 J jnl
Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting.
Appl. Soft Comput.
Xinze Zhang, Kun He, Qi Sima, Yukun Bao
2024 J jnl
Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models.
CoRR
Renhua Ding, Xinze Zhang, Xiao Yang, Kun He
2024 B conf
Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification.
IJCNN
Zhenhua Chen, Xinze Zhang, Kun He
2024 J jnl
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting.
CoRR
Qi Sima, Xinze Zhang, Yukun Bao, Siyue Yang, Liang Shen
2023 — conf
Radar-Based Eyeblink Detection Under Various Conditions.
ICSCA
Xinze Zhang, Walid Brahim, Mingyang Fan, Jianhua Ma, Muxin Ma, Alex Qi
2021 — conf
Crafting Adversarial Examples for Neural Machine Translation.
ACL/IJCNLP (1)
Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He
2021 J jnl
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks.
Neurocomputing
Xinze Zhang, Kun He, Yukun Bao
2020 J jnl
Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting.
CoRR
Xinze Zhang, Kun He, Yukun Bao