Xinze Zhang

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Xinze Zhang is currently a postdoctoral researcher in the School of Computer Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan, P.R. China. He received his Ph.D. in management from Huazhong University of Science and Technology, Wuhan, China, in 2023, and received the M.P.Ac. degree in 2018 from the same university. He received the B.Ac. degree in 2015 from Zhongnan University of Economics and Law (ZUEL), China. He is the Principal Investigator of the grants supported by the China Postdoctoral Science Foundation and the Natural Science Foundation of Hubei Province, China. His interests lie primarily in machine learning for sequential data, especially in adversarial machine learning, time series forecasting, and automatic modulation classification.

Contact Info

  • E-mail: xinze@hust.edu.cn, xinze.zh@outlook.com
  • Wechat: xinze-zh

Publications

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 张心泽, 蔡淑琴, 罗思雨. 基于支持向量机的在线负面口碑处理专家识别方法. 统计与决策, 2017. Volume 490, Pages 80-83. (唯一一作, CSSCI)
  • 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.
  • 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.
  • 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. (CCF B类会议)

† Equal contribution, ★ Corresponding Author

Under Review

  • Xinze Zhang, Jipeng Cheng, Shuo Zhang, Zhenhua Chen, and Kun He. Adaptive Correcting Augmentation for Robust Automatic Modulation Classification Under Varying SNR Condition.
  • Kun He, Zhenhua Chen, Xin Liu, and Xinze Zhang📩. Dual Generalization Attack: Enhancing Adversarial Transferability through Surrogate Model and Input Feature Generalization.
  • Renhua Ding, Xinze Zhang, Xiao Yang, and Kun He, Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models. arXiv, 2409.06726.
  • Qi Sima, Xinze Zhang, Yukun Bao, Siyue Yang, and Liang Shen. Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting. arXiv, 2406.09643.
  • Haobo Lu, Linhua Cong, Xinze Zhang, and Kun He. Enhancing Adversarial Transferability on SAR-ATR through Object Invariant Speckle Augmentation.

† Equal contribution

Teaching

Business Intelligence & Data Mining
Mar. 2019 - Jun. 2020
Teaching Assistant, with Prof. Yukun Bao, School of Management, HUST
The Analysis & Design of Management Information System
Mar. 2016 - Sep. 2017
Teaching Assistant, with Prof. Shuqin Cai, School of Management, HUST
Developing Information System: Methods & Tools (C#)
Sep. 2016 - Jan. 2017
Teaching Assistant, with Assoc. Prof. Shuangyuan Shi, School of Management, HUST
Data Structure (C/C++)
Sep. 2015 - Jan. 2016
Teaching Assistant, with Prof. Qianfan Zhang, School of Management, HUST
Database Technology & Application (SQL Server)
Sep. 2015 - Jan. 2016
Teaching Assistant, with Prof. Qianfan Zhang, School of Management, HUST

Honors

2022
Second Prize Award
"China Software Cup" College Student Software Design Competition
Nanjing, China
2021
National Scholarship
Huazhong University of Science & Technology
Wuhan, China
Theory & Practice Scholarship
Huazhong University of Science & Technology
Wuhan, China
2017
National Scholarship
Huazhong University of Science & Technology
Wuhan, China
Theory & Practice Scholarship
Huazhong University of Science & Technology
Wuhan, China
2016
Outstanding Graduate
Huazhong University of Science & Technology
Wuhan, China
Outstanding Athlete
National College Wushu Championship
Lanzhou, China
4th Place (Nan Gun)
National College Wushu Championship
Lanzhou, China
6th Place (Nan Quan)
National College Wushu Championship
Lanzhou, China
1th Place (Nan Quan)
Hubei College Wushu Competition
Wuhan, China
2015
3th Place (Nan Quan)
Hubei College Wushu Competition
Wuhan, China
2014
People's Scholarship
Zhongnan University of Economics & Law
Wuhan, China
6th Place (Nan Quan)
Hubei College Wushu Competition
Wuhan, China
2013
People's Scholarship
Zhongnan University of Economics & Law
Wuhan, China