Xinze Zhang

Contact Info

Publications

• Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting. Xinze Zhang, Kun He, Qi Sima, and Yukun Bao. Applied Soft Computing, 2024. Pages 111715.
• Multi-channel convolutional distilled transformer for automatic modulation recognition. Zhenhua Chen$^\dagger$, Xinze Zhang$^\dagger$, and Kun He. In Proceedings of the International Joint Conference on Neural Networks (IJCNN). 2024.
• Crafting adversarial examples for neural machine translation. Xinze Zhang, Junzhe Zhang, Zhenhua Chen, and Kun He. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL). 2021.
• Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks. Xinze Zhang, Kun He, and Yukun Bao. Neurocomputing, 2021. Volume 459, Pages 234-248.
• Short-term load forecasting of central china based on DPSO-LSTM. Jianhua Yang, Xinze Zhang$^\star$, and Yukun Bao. In Proceedings of IEEE 4th International Electrical and Energy Conference (CIEEC), 2021.
• Expert recognition of online negative word-of-mouth processing based on support vector machine. Xinze Zhang, Shuqin Cai, and Siyu Luo. Statistics and Decision (Chinese Journal), 2017. Volume 490, Pages 80-83.

† Equal contribution, ★ Corresponding Author

Under Review

• SNR-aware adaptive feature selection for neural modulation recognition. Xinze Zhang, Zhenhua Cheng, and Kun He.
• Enhancing echo state network with particle swarm bayesian optimization enabled echo state selection for time series forecasting. Xinze Zhang, Qi Sima, Kun He, Yukun Bao, and Shuhan Chen
• Reinforced decoder: towards training recurrent neural networks for time series forecasting. Qi Sima$^\dagger$, Xinze Zhang$^\dagger$, Yukun Bao, Siyue Yang, and Liang Shen

† Equal contribution

Teaching

Honors