Dr. Xin Wei

Associate Professor

Supervisor of Software Engineering

School of Software, Nanchang University

Research Area: medical image processing, machine learning, deep learning, and face image processing.

Email: xinwei@ncu.edu.cn

Overview:

Xin Wei, PhD, graduated from Ulster University, UK, and was a research assistant there. He is currently an associate professor and master's supervisor at the School of Software, Nanchang University. His research focuses on artificial intelligence disciplines such as deep learning, machine learning, pattern recognition, and computer vision, and he has applied some of his research findings to fields such as facial image processing and medical image processing.

He is selected for Nanchang University's "Camphor Tree Talent Cultivation Program". Received the second prize of Jiangxi Provincial Science and Technology Progress Award in 2024. Has been granted over 10 patents and published more than 20 high-level papers. Papers have been cited by top international journals in the field of artificial intelligence and pattern recognition, including IEEE TPAMI, IEEE TNNLS, Information Sciences, IEEE TSMC, and PR. Serves as a reviewer for top conferences and journals such as AAAI, IEEE Trans. Cybern., and Knowledge Based Systems.

He has led two National Natural Science Foundation of China (NSFC) projects, one Jiangxi Provincial Natural Science Foundation Outstanding Youth Project, one Jiangxi Provincial Natural Science Foundation Youth Project, and two industry-funded projects. He has also participated in two EU Horizon 2020 projects, one Northern Ireland project, one NSFC General Program project, and two NSFC Regional Program projects.

He has presided over one university-level teaching reform project and one first-class course construction project, and published one professional course textbook. In 2024, he received the second prize of Nanchang University Teaching Achievement Award (Youth Project). He has guided graduate and undergraduate students to win more than 30 domestic and international science and technology competition awards. He has guided undergraduate students in 5 national, provincial, and university-level innovation and entrepreneurship projects. He has guided 6 scientific research training projects. He has guided 4 undergraduate students to receive the university's Outstanding Graduation Thesis Award.

Fundings:

1. National Natural Science Foundation of China, 62566040, Research on Generalizable and Adaptive Few-Sample Learning Methods for Real-World Visual Application Scenarios, January 1, 2026 to December 31, 2029, Ongoing, Principal Investigator.

2. National Natural Science Foundation of China, Youth Project, 62106093, Single-Sample Face Recognition Based on Adaptive Balanced Learning and Semantic Understanding, January 1, 2022 to December 31, 2024, Completed, Principal Investigator.

3. Jiangxi Provincial Natural Science Foundation, Outstanding Youth Project, 20242BAB23013, Small Sample Image Classification and Segmentation for Catastrophic Forgetting and Coarse-to-Fine Evolution, January 1, 2024 to December 31, 2026, Ongoing, Principal Investigator.

4. Jiangxi Provincial Natural Science Foundation, Youth Project, 20232BAB212027, Research on Small Sample Face Editing Method Based on Decoupling Control and Balanced Learning, July 1, 2023 to June 30, 2026, Ongoing, Principal Investigator.

5. Horizontal Funding Project, HX202409240065, Research and Upgrade of Thermal Moxibustion Operation Assessment System Based on Small Sample Image Detection and Recognition Technology, August 2024 to August 2025, Ongoing, Principal Investigator.

6. Horizontal Funding Project, CX202302240025, Research and Development of Thermal Moxibustion Operation Assessment System Based on Real-time Image Recognition, November 2022 to May 2023, Principal Investigator.

7. EU H2020 Project, FCT-1-2015, Analysis System for Gathered Raw Data (ASGARD), September 1, 2016 to November 30, 2020, Completed, Participant.

8. EU H2020, PHC-30-2015, Decision Support and Information Management System for Breast Cancer (DESIREE), February 1, 2016 to January 31, 2019, Completed, Participant.

9. Northern Ireland Government, Lava Group, and I+ Company (Horizontal Project), The use of unobtrusive technology for the identification of agitation, falls, and life signs, March 1, 2020 to February 28, 2021, Completed, Participant.

10. National Natural Science Foundation of China, General Program, 62072106, Research on Highly Adaptive Passive Evidence Collection Using Deep Face Videos, January 1, 2021 to December 31, 2024, Ongoing, Participant.

11. National Natural Science Foundation of China, Regional Project, 62266032, Research on Streaming Dynamic Knowledge Measurement and Reasoning Based on Three-Branch Decision Making, 2023-01-01 to 2026-12-31, Ongoing, Participant.

12. National Natural Science Foundation of China, Regional Project, 62166026, Pedestrian Re-identification Based on Pose Feature Matching and Cross-Domain Unsupervised Learning, 2022-01-01-2025, Ongoing, Participant.

Publications:

1. Fan Zhang, Xuhui Huang, Huan Wan, Jianfeng Xu, Minghao Li, Xin Wei*, Dynamic dual consistency distillation for imbalanced facial attribute editing, Knowledge-Based Systems, Volume 332, 2026. (JCR Q1, SCI Q1 TOP)

2. Huan Wan, Qinqin Wang, Jinshan Zeng, Xin Wei*, DeRe-Net: Details Restoration Networks for Polyp Segmentation, Multimedia Systems, 2026. (JCRQ 2, SCI Q4)

3. Wan, Huan, Jing Ai, Jing Liu, Xin Wei, Jinshan Zeng, and Jianyi Wan. "Distinct Polyp Generator Network for polyp segmentation." Image and Vision Computing (2026): 105847. (JCR Q1, SCI Q2)

4. Wujian Xu, Siyu Liu, Xin Wei, Huan Wan, Deep Insight Network for Medical Hyperspectral Imaging Segmentation In 2025 IEEE 4th International Conference on Artificial Intelligence,  Human-Computer Interaction and Robotic. IEEE, 2025.

5. Chenxia Liao, Huan Wan, Jianfeng Xu, Pengxiang Su, Xin Wei*. An open-set few-shot face recognition framework with balanced adaptive cohesive mixing. Neurocomputing, 2025. (JCR Q1, SCI Q2)

6. Jianfeng Xu, Baozhe Wang, Huan Wan, Pengxiang Su, Xin Wei*. Adaptive Blank Compensation for Few-Shot Image Classification. Neurocomputing, 2025. (JCR Q1, SCI Q2)

7. Huan Wan, Taona Deng, Wujian Xu, Xin Wei and Jinshan Zeng. TriDE-Net: Triple-Densely Extraction Network for Precise Skin Lesion Segmentation. International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2025. (CCF B)

8. Wan, Huan, Hantao Wang, Zhitao Ning, Xuhui Huang, Hongtian Wang, and Xin Wei*. "Center–Edge-Based Gaussianized Distribution Calibration for Few-Shot Images Classification." Electronics 14, no. 22 (2025): 4472. (JCR Q2, SCI Q4)

9.  Xin Wei, Jiacheng Sun, Pengxiang Su, Huan Wan, Zhitao Ning. BCL-Former: Localized Transformer Fusion with Balanced Constraint for polyp image segmentation. Computers in Biology and Medicine, 2024. (SCI Q1 TOP, Impact Factor: 6.9)

10. Xin Wei, Wei Du and etc. "Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification." Proceedings of the AAAI Conference on Artificial Intelligence. 2023. （CCF A, oral paper）

11. Xin Wei, Fanhua Ye and etc. TANet: Triple Attention Network for medical image segmentation. Biomedical Signal Processing and Control. 82 (2023): 104608. (SCI Q2, Impact Factor: 5.1)

12. Huan Wan, Hui Wang, Bryan Scotney, Jun Liu and Xin Wei. (2023). Cluster-based Data Relabelling for Classification. Information Sciences, 119485. (SCI Q1 TOP, CCF B, Impact Factor 8.1)

13. Huan Wan, Hui Wang, Bryan Scotney, Jun Liu and Xin Wei. (2023). Global subclass discriminant analysis. Knowledge-Based Systems, 111010.（SCI Q1 TOP, Impact Factor: 8.8）

14. Jie Huang, Xin Wei, Ziyuan Yang, Weidong Min. Fingerprint Recognition Based on Multidimensional Matching Distance Fusion [J/OL].Journal of Graphics: 1-9 [2021-11-12]. http://kns.cnki.net/kcms/detail/10.1034.t.20210930.1441.002.html.

15. Xin Wei, Huan Wan and etc. HPS-Net: Multi-Task Network for Medical Image Segmentation with Predictable Performance. Symmetry 2021, 13, 2107. (SCI Q3, Impact Factor: 2.7)

16. Xin Wei, Wei Du and etc. GicoFace: A Deep Face Recognition Model Based on Global-Information Loss Function. Electronics 2021, 10, 2387. (SCI Q3, Impact Factor: 2.4)

17. Haoyu Zhao, Weidong Min, Xin Wei, Qi Wang, Qiyan Fu and Zitai Wei. MSR‐FAN: Multi‐scale residual feature‐aware network for crowd counting. IET Image Processing , 1– 10 (2021) https://doi.org/10.1049/ipr2.12175. (SCI Q3, Impact Factor: 1.54)

18. Xin Wei, Hui Wang, Bryan Scotney and Huan Wan. Minimum Margin Loss for Deep Face Recognition. Pattern Recognition. 97 (2020): 107012. (SCI Q1 TOP, CCF B, Impact Factor: 8.52)

19. Guangmin Li, Zhiwei Lin, Hui Wang, Xin Wei. A Discriminative Approach to Sentiment Classification[J]. Neural Processing Letters, 2020, 51(1): 749-758. (SCI Q4, Impact Factor: 2.4)

20. Xin Wei, Hui Wang, Bryan Scotney and Huan Wan. Selective multi-descriptor fusion for face identification. International Journal of Machine Learning and Cybernetics. 2019: 1-13. (SCI Q2, Impact Factor: 3.8)

21. Xin Wei, Hui Wang, Bryan Scotney and Huan Wan. Precise Adjacent Margin Loss for Deep Face Recognition. IEEE International Conference on Image Processing (ICIP) 2019, Sep 22 (pp. 3457-3461). (CCF C)

22. Xin Wei, Hui Wang, Bryan Scotney and Huan Wan. GicoFace: Global Information-based Cosine Optimal Loss for Deep Face Recognition. IEEE International Conference on Image Processing (ICIP) 2019, Sep 22 (pp. 3641-3645). (CCF C)

23. Xin Wei, Hui Wang, Gongde Guo and Huan Wan. Multiplex image representation for enhanced recognition. International Journal of Machine Learning and Cybernetics. 2018: 383-392. (SCI Q2, Impact Factor: 3.8)

24. Xin Wei, Hui Wang, Bryan Scotney and Huan Wan. A Minkowski Distance-based Generalisation Method for Improving Centre Loss for Deep Face Recognition (Best Student Paper Award). Irish Machine Vision and Image Processing Conference (IMVIP) 2018, Aug (pp. 154-161). IPRCS. (Best paper award)

25. Huan Wan, Hui Wang, Gongde Guo and Xin Wei. Separability-oriented subclass discriminant analysis. IEEE transactions on pattern analysis and machine intelligence. 2017 Feb 22; 40(2): 409-22. (SCI Q1 TOP, CCF A, Impact Factor: 17.7)

26. Xin Wei, Hui Wang, Huan Wan and Bryan Scotney. Self-adaptive Feature Fusion Method for Improving LBP for Face Identification. International Conference on Computer Vision Systems (ICVS) 2017, Jul 10 (pp. 373-383). Springer, Cham.

27. Xin Wei, Hui Wang, Huan Wan and Bryan Scotney. Multiscale Feature Fusion for Face Identification. IEEE International Conference on Cybernetics (CYBCONF) 2017, Jun 21 (pp. 1-6).

28. Xin Wei, Gongde Guo, Hui Wang and Huan Wan. A multiscale method for HOG-based face recognition. International Conference on Intelligent Robotics and Applications (ICIRA) 2015, Aug (pp. 535-545). Springer, Cham.

29. Huan Wan, Gongde Guo, Hui Wang and Xin Wei. A new linear discriminant analysis method to address the over-reducing problem[C]//International Conference on Pattern Recognition and Machine Intelligence. Springer, Cham, 2015: 65-72.

Awards:

1. Received a full scholarship of over £800,000 for a PhD in the UK in 2016.

2. Supervised students who received awards for outstanding graduation projects (2022 Qiaoling Huang, 2022 Yunhan Wang, 2023 Renhua Ding, 2025 Yiming Zhao, 2025 Jiayi Yao).

3. Outstanding class advisor for the 2021-2022 academic year.

4. Excellent work quality and professional ethics evaluation in 2022.

5. Received the second prize of Jiangxi Provincial Science and Technology Progress Award in 2024.

6. Received the second prize of the university's teaching achievement award in 2024.

7. Received the Excellent Teaching Quality Evaluation Award in the spring semester of the 2024-2025 academic year.

8. Outstanding class advisor for the 2024-2025 academic year.