Zhiyong XIAO, Ph.D.  

Associate Professor | Master’s Supervisor  

School of Artificial Intelligence and Computer Science, Jiangnan University

No. 1800 Lihu Avenue, Wuxi 214122, Jiangsu, P. R. China  

E-mail: [email protected] | ORCID: 0000-0003-3187-1629

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1)、RESEARCH EXPERIENCE  

2016.09 – Present  Associate Professor, Jiangnan University, China  

2010.09 – 2014.02 Ph.D. Student, Institut Fresnel, CNRS, France  

2)、EDUCATION  

2010.09 – 2014.02 Ph.D. in Physics & Mathematics Science  

  École Centrale Marseille, France  

  Supervisors: Prof. Salah BOURENNANE & Prof. Mouloud ADEL  

2008.09 – 2010.06 M.Sc. in Electronic & Information Engineering  

  South China University of Technology, China  

  Supervisor: Prof. Shengli XIE  

2004.09 – 2008.06 B.Sc. in Mathematics & Applied Mathematics  

  Shandong University, China  

3)、RESEARCH GRANTS

1. National Key R&D Program of China (2019.08 – 2021.07)  

 Project No. 2017YFE0128500  

 Title: Intelligent Cooperative Theory and Key Technologies of Heterogeneous Multi-Agent Systems for Maritime Search and Rescue  

 Role: Participant  

2. Natural Science Foundation for Excellent Young Scholars of Jiangsu Province (2019.07 – 2022.06)  

 Project No. BK20190079  

 Title: Research on Artificial Intelligence Technology and Its Application in Medical Image Analysis  

 Role: Principal Investigator  

4)、SELECTED PUBLICATIONS (First or Corresponding Author/Food Analysis)  

[1] Xiao, Z.*, Diao, G., Liu, C., & Deng, Z. (2025). Fine-grained food image recognition using a convolutional neural network and Swin Transformer hybrid model. Journal of Food Composition and Analysis, 148, 108395.

//doi.org/10.1016/j.jfca.2025.108395

[2] Xiao, Z.*, Ling, R., & Deng, Z. (2025). FoodCSWin: A high-accuracy food image recognition model for dietary assessment. Journal of Food Composition and Analysis, 139, 107110. //doi.org/10.1016/j.jfca.2024.107110

[3] Xiao, Z.*, Diao, G., & Deng, Z. (2024). Fine-grained food image recognition based on Swin Transformer. Journal of Food Engineering, 380, 112134.

//doi.org/10.1016/j.jfoodeng.2024.112134

[4] Gao, X., Xiao, Z.*, & Deng, Z. (2024). High-accuracy food image classification via Vision Transformer with data augmentation and feature augmentation. Journal of Food Engineering, 365, 111833. //doi.org/10.1016/j.jfoodeng.2023.111833

[5] Xiao, Z.*, Sun, Y., & Deng, Z. (2025). FGFoodNet: Ingredient-perceived fine-grained food recognition for dietary monitoring. Journal of Food Measurement and Characterization. 19(9), 7017-7033. //doi.org/10.1007/s11694-025-03439-8

[6] Xiao, Z.*, Li, Y., & Deng, Z. (2025). Food image segmentation based on deep and shallow dual-branch network. Multimedia Systems, 31(1), 1-14. //doi.org/ 10.1007/s00530-025-01669-w

5)、RESEARCH INTERESTS  

• Artificial-intelligence theory & methods  

• Food intelligent computing (AI for safety, quality, sensory)  

• Computer vision / image & video analysis  

• Medical-image analysis  

• Big-data analytics & cloud computing