Contact Info

Publications

• Xin Lai, Shiming Deng, Lu Yu, Yumin Lai, Shenghao Qiao, and Xinze Zhang📩. Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization. Advanced Engineering Informatics, 2026. Volume 76, Part C, Pages 105047. (JCR Q1, IF 11.5)
• Qi Sima, Yukun Bao, Xinze Zhang📩, Siyue Yang, and Liang Shen. Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting. IEEE Transactions on Industrial Informatics, 2026. Volume 22, Issue 6, Pages 5345-5356. (JCR Q1, IF 9.9)
• Xinze Zhang†, Dengao Zhu†, Xiyao Dong, and Kun He. Fading-Invariant Adversarial Attacks on Neural Modulation Recognition. In Proceedings of 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2025.
• Qi Sima, Yukun Bao, Xinze Zhang📩, Kun He, and Xin Lai. Enhancing Echo State Network with Echo State Selection for Time Series Forecasting. Neurocomputing, 2025. Volume 654, Pages 131283. (JCR Q1, IF 6.5)
• Xinze Zhang, Kun He, Qi Sima, and Yukun Bao. Error-Feedback Three-Phase Optimization to Configurable Convolutional Echo State Network for Time Series Forecasting. Applied Soft Computing, 2024. Volume 161, Pages 111715. (JCR Q1, IF 7.2)
• Xinze Zhang†, Junzhe Zhang†, Zhenhua Chen†, and Kun He†. Crafting Adversarial Examples for Neural Machine Translation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL). 2021. (Oral)
• Xinze Zhang, Kun He, and Yukun Bao. Error-Feedback Stochastic Modeling Strategy for Time Series Forecasting with Convolutional Neural Networks. Neurocomputing, 2021. Volume 459, Pages 234-248. (JCR Q1, IF 5.7)
• Jianhua Yang, Xinze Zhang📩, and Yukun Bao. Short-Term Load Forecasting of Central China Based on DPSO-LSTM. In Proceedings of IEEE 4th International Electrical and Energy Conference (CIEEC), 2021.
• Zhenhua Chen†, Xinze Zhang†, and Kun He. Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Recognition. In Proceedings of the International Joint Conference on Neural Networks (IJCNN). 2024.
• Renhua Ding, Xinze Zhang, Xiao Yang, and Kun He, Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models. IEEE Transactions on Emerging Topics in Computational Intelligence, 2026. Early Access. (JCR Q1, IF 6.5)
• Qi Sima, Xinze Zhang, Siyue Yang, Yukun Bao, and Liang Shen. Multi-scale Fused Graph Convolutional Network for Multi-site Photovoltaic Power Forecasting. Energy Conversion and Management, 2025. Volume 333, Pages 119773. (JCR Q1, IF 9.9)
• Ganglin Xie†, Haobo Lu†, Xinze Zhang, and Kun He. Advancing SAR Image Robustness: Integrating Diffusion Models for Adversarial Purification and Speckle Noise Suppression. In Proceedings of 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2025.

Teaching

Honors