Basic Information
Li Yueyang, PhD, Associate Professor, Master’s supervisor. In 2010, earned a PhD in Light Industry Information Technology and Engineering from Jiangnan University. Currently an Associate Professor at the School of Artificial Intelligence and Computer Science, Jiangnan University.

Research Interests
Artificial intelligence, machine learning, machine vision, and medical image analysis and processing, including research and applied development.

Major Achievements
From February to May 2005, engaged in a joint PhD program at The Hong Kong University of Science and Technology; from May 2008 to May 2009 conducted medical image research at the University of Pennsylvania, USA. In recent years, led multiple longitudinal and cross-sectional projects, participated in several National Natural Science Foundation of China (NSFC) and Jiangsu Province Natural Science Foundation projects. Published over 60 academic papers, with 23 indexed by SCI/EI. Granted 15 patents, and registered 3 computer software copyrights.

Major Research Projects

1. Industry-collaborated project: Image tampering detection software development, 2025.4–2025.6, Principal Investigator

2. Industry-collaborated project: Postgraduate supervisor quality management and analysis system, 2024.9–2025.9, Principal Investigator

3. Industry-collaborated project: SPC real-time monitoring system, 2024.7–2026.7, Principal Investigator

4. Industry-collaborated project: Color segmentation software algorithm development, 2024.8–2025.2, Principal Investigator

5. Industry-collaborated project: TCJ PCB traceability system, 2023.10–2025.10, Principal Investigator

6. Industry-collaborated project: Real-time intelligent detection model, 2022.1–2022.4, Principal Investigator

7. Industry-collaborated project: Filament aging intelligent detection system equipment, 2021.6–2021.9, Principal Investigator

8. Industry-collaborated project: General robotic arm imaging system image algorithm implementation, 2020.12–2021.11, Principal Investigator

9. Industry-collaborated project: Bearing needle machine vision quality inspection electrical system, 2018.11–2020.11, Principal Investigator

10. Jiangsu Provincial Forward-looking Joint Research Project: Key technologies for online knitted fabric defect detection based on machine vision, 2015.7–2017.6, Principal Investigator

11. Industry-collaborated project: Metal can infrared weld seam detection system, 2011.9–2012.9, Principal Investigator

Representative Papers

1. Jiang, Chaoxi; Li, Yueyang*; Luo, Haichi; Zhang, Caidi; Du, Hongqun. KansNet: Kolmogorov-Arnold Networks and multi slice partition channel priority attention in convolutional neural network for lung nodule detection. Biomedical Signal Processing and Control, 2025, 103: 107358.

2. Duan, Zhiping; Li, Yueyang*; Luo, Haichi. A proposal-level class-aware graph convolutional network and memory bank for thyroid nodule detection in ultrasound videos. Biomedical Signal Processing and Control, 2025, 102: 107206.

3. Yin, Longwen; Li, Yueyang*; Luo, Haichi. Dynamic Video Prompting Network for Thyroid Nodule Detection in Ultrasound Videos. Neural Information Processing, 2025: 46-61

4. Gao, Song; Li, Yueyang*; Luo, Haichi. Detecting thyroid nodules along with surrounding tissues and tracking nodules using motion prior in ultrasound videos. Computerized Medical Imaging and Graphics, 2024, 117: 102439.

5. Cui, Fangzhang; Li, Yueyang*; Luo, Haichi; Zhang, Caidi; Du, Hongqun. SF2T: Leveraging Swin Transformer and Two-stream networks for lung nodule detection. Biomedical Signal Processing and Control, 2024, 95: 106389.

6. Chenyang Bi; Yueyang Li*; Haichi Luo. Dual-branch reconstruction network for industrial anomaly detection with RGB-D data. Proc.SPIE, 2024: 1318033.

7. Shunfeng Wang; Yueyang Li*; Haichi Luo. CL-flow: strengthening the normalizing flows by contrastive learning for better anomaly detection. Proc.SPIE, 2024:1318060.

8. Hui Wang; Yueyang Li*; Haichi Luo. Semantic feature integration network for fine-grained visual classification. Proc.SPIE, 2024: 1318061.

9. Gu, Zhongxuan; Li, Yueyang*; Luo, Haichi; Zhang, Caidi; Du, Hongqun. Cross attention guided multi-scale feature fusion for false-positive reduction in pulmonary nodule detection. Computers in Biology and Medicine, 2022, 151: 106302.

10. Xu, Dongdong, Li, Yueyang, Luo, Haichi. Lace fabric Image Retrieval Using Siamese Neural Network. 2021 6th International Conference on Signal and Image Processing, ICSIP 2021.

11. Zhang, J., Y. Li, and H. Luo. Defect detection in textile fabrics with optimal Gabor filter and BRDPSO algorithm. Journal of Physics: Conference Series, 2020. 1651: p. 012073.

12. Wang, X., Y. Li, and H. Luo. Fabric defect detection method based on Cascade Deep Support Vector Data Description. Journal of Physics: Conference Series, 2020. 1651: p. 012079.

13. Yueyang Li, Haichi Luo, Miaomiao Yu, Gaoming Jiang, Honglian Cong. Fabric defect detection algorithm using RDPSO-based optimal Gabor filter, The Journal of the Textile Institute: 2019, 110(4): 487-495. (SCI, IF: 1.063)

14. Yueyang Li, Haichi Luo, Gaoming Jiang, Honglian Cong. Content-based lace fabric image retrieval system using texture and shape features, The Journal of the Textile Institute: 2019, 110(6): 911-915. (SCI, IF: 1.063)

15. Li, Y. *, J. Sun*, H. Luo, A neuro-fuzzy network based impulse noise filtering for gray scale images, Neurocomputing: 2014, 127: 190-199.

16. Li, Y., F.-L. Chung, S. Wang, A robust neuro-fuzzy network approach to impulse noise filtering for color images, Applied Soft Computing: 2008, 8(2): 872-884.

17. Wang, S.T., F.L. Chung, Y.Y. Li*, A new gaussian noise filter based on interval type-2 fuzzy logic systems, Soft Computing - A Fusion of Foundations, Methodologies and Applications: 2005, 9(5): 398-406.

18. LI YueYang, WANG ShiTong, HU DeWen , and WU XiSheng. A New Gaussian Noise Filter Based on Interval Type-2 Fuzzy Logic System. Computers Research and Development: 2004, 41(09): 1507-1513

Contact Methods
Email: [email protected]
Mailing Address: School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Liluo Avenue, Jiangnan University, Wuxi, Jiangsu, 214122, China