Xiaoyu Jiang received his Ph.D. in Control Science and Engineering from Zhejiang University and is currently an Associate Researcher at the Hangzhou International Innovation Institute, Beihang University. He has conducted postdoctoral and visiting research at the State Key Laboratory of Industrial Control Technology at Zhejiang University, the Department of Systems Engineering at City University of Hong Kong, and the Department of Aerospace Engineering at the University of Kansas, USA.

His research interests include industrial big data modeling, deep learning, large-scale industrial foundation models, as well as AI safety and reliability. He has published more than 40 papers in leading journals and international conferences, including IEEE Transactions (IEEE TIE, TII, TASE, TIM, TAI), IEEE/CAA Journal of Automatica Sinica (JAS), and NeurIPS, with over 800 citations on Google Scholar. Three of his papers have been selected as ESI Highly Cited Papers. His research outcomes have been successfully applied to complex industrial systems such as chemical processes, rotating machinery, and discrete manufacturing. He holds 18 invention patents and 4 software copyrights.

Contact: jiangxiaoyu@buaa.edu.cn
(Actively recruiting undergraduate and graduate students in Electronic Information, Artificial Intelligence, Mechanical Engineering, and Transportation Engineering. Students interested in industrial big data and AI-driven scientific research (AI4Science) are welcome to join the group to explore cutting-edge algorithm design and real-world applications in industrial scenarios.)

Selected Publications：

1. Jiang, Xiaoyu, Chen Zheng, Yue Zhuo, Xiangyin Kong, Zhiqiang Ge, Zhihuan Song* and Min Xie*. “Advancing Industrial Data Augmentation in AIGC Era: from Foundations to frontier Applications." IEEE Transactions on Instrumentation and Measurement (2025).

2. Kong Xiangyin; Xiaoyu Jiang*; Zhihuan Song; Zhiqiang Ge*. “Data ID Extraction Networks for Unsupervised Class- and Classifier- free Detection of Adversarial Examples ." IEEE Transactions on Pattern Analysis and Machine Intelligence (2025).

3. Jiang, Xiaoyu, Xiangyin Kong, Junhua Zheng, Zhiqiang Ge*, Xinmin Zhang, and Zhihuan Song. "Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification." IEEE Transactions on Industrial Informatics (2024).

4. Jiang, Xiaoyu, Junhua Zheng, Ziyi Chen, Zhiqiang Ge*, Zhihuan Song, and Xiaoguang Ma. "Leveraging Transfer Learning for Data Augmentation in Fault Diagnosis of Imbalanced Time-Frequency Images." IEEE Transactions on Automation Science and Engineering (2024).

5. Jiang, Xiaoyu, and Zhiqiang Ge*. "Augmented industrial data-driven modeling under the Curse of Dimensionality" IEEE/CAA Journal of Automatica Sinica (2023).

6. Jiang, Xiaoyu, and Zhiqiang Ge*. "Information Fingerprint for Secure Industrial Big Data Analytics." IEEE Transactions on Industrial Informatics (2021).

7. Jiang, Xiaoyu, and Zhiqiang Ge*. "Improving the performance of just-in-time learning based soft sensor through data augmentation." IEEE Transactions on Industrial Electronics (2021). 

8. Jiang, Xiaoyu, Yubin Cheng, Zhihuan Song, Xiaoguang Ma, Lingjian Ye, and Zhiqiang Ge*. "Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics." IEEE Transactions on Reliability (2024).

9. Jiang, Xiaoyu, and Zhiqiang Ge*. “Ensemble data augmentation for Imbalanced Fault Diagnosis." IEEE Transactions on Instrumentation and Measurement (2023).

10. Jiang, Xiaoyu, and Zhiqiang Ge*. "Augmented Multidimensional Convolutional Neural Network for Industrial Soft Sensing." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1-10.

11. Jiang, Xiaoyu, and Zhiqiang Ge*. “Data Augmentation Classifier for Imbalanced Fault Classification." IEEE Transactions on Automation Science and Engineering (2020).

12. Jiang, Xiaoyu, and Zhiqiang Ge*. "Attacks on data-driven process monitoring systems: Subspace Transfer Networks." IEEE Transactions on Artificial Intelligence (2022). 

13. Jiang, Xiaoyu, and Zhiqiang Ge*. "RAGAN: Regression Attention Generative Adversarial Networks." IEEE Transactions on Artificial Intelligence (2022). 

Google Scholar：https://scholar.google.com.hk/citations?user=SZzM_wUAAAAJ&hl=en&oi=ao

Research Projects：

1. National Natural Science Foundation of China (NSFC) – Young Scientists Fund
   Adversarial Security of Intelligent Models for Industrial Process Monitoring Data
   Principal Investigator, 2025.01–2027.12

2. Postdoctoral Research Program of Zhejiang Province
   Principal Investigator, 2023.04–2024.03

3. Ministry of Science and Technology of China – National Key R&D Program (AI 2030 Major Project)
   Knowledge Representation and Application of Data-Augmented Game-Theoretic Intelligent Models (2022ZD0120003)
   Participant, 2023.03–2026.02

4. National Natural Science Foundation of China (NSFC) – Key Project
   Big Data Analytics and Distributed Modeling Methods for Fault Classification in Process Industries (61833014)
   Participant, 2019.01–2023.12

5. National Natural Science Foundation of China (NSFC) – Major Research Plan
   Feature Fusion and Modeling Mechanisms for Multi-source, Low-quality, and Heterogeneous Industrial Big Data (9216710003)
   Participant, 2022.01–2024.12

6. Cement Clinker Quality Prediction Project
   Joint Research Project of Alibaba Cloud and Zhejiang University (Donghua Cement Plant)
   Participant, 2019.11–2020.08

Honors and Awards：

1. Zhejiang Provincial Youth Talent Support Program, Nov. 2024

2. Third Prize of Zhejiang Provincial Natural Science Award, Nov. 2024

3. Outstanding Ph.D. Graduate of Zhejiang Province, Apr. 2023

4. National Scholarship for Graduate Students, Ministry of Education of China, 2017, 2018, 2021

5. National Scholarship for Graduate Students, Ministry of Education of China, 2017, 2018, 2021