主要论著:
1. Gu X Q, Chung F L, Wang S T. Bayesian Takagi-Sugeno-Kang fuzzy classifier. IEEE Transactions on Fuzzy System, 2017, 25(6): 1655-1671.
2. Gu X Q, Wang S T. Bayesian Takagi-Sugeno-Kang fuzzy model and its joint learning of structure identification and parameter estimation. IEEE Transactions on Industrial Informatics, 2018, 14(12):5327-5337.
3. Gu X Q, Chung F L, Wang S T. Fast convex-hull vector machine for training on large-scale ncRNA data classification tasks. Knowledge-Based Systems, 2018, 151(6): 149-164.
4. Ni T G, Gu X Q(通讯作者), Wang J, Zheng Y H, Wang H Y, Scalable transfer support vector machine with group probabilities, Neurocomputing, 2018, 273(1): 570-582.
5. Gu X Q, Chung F L, Ishibuchi H, Wang S T. Imbalanced TSK fuzzy classifier by cross-class bayesian fuzzy clustering and imbalance learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(8): 2005-2020.
6. Jiang Y Z, Gu X Q (通讯作者), Wu D R, A novel negative-transfer-resistant fuzzy clustering model with a shared cross-domain transfer latent space and its application to brain CT image segmentation, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, DOI: 10.1109/TCBB.2019.2963873.
7. Ni T G, Gu X Q (通讯作者), Zhang C. Multi-task deep metric learning with boundary discriminative information for cross-age face verification. Journal of Grid Computing (2020). DOI: 10.1007/s10723-019-09495-x.
8. 顾晓清, 倪彤光, 张聪, 戴臣超, 王洪元, 结构辨识和参数优化协同学习的概率TSK模糊系统, 自动化学报(2019)DOI：10.16383/j.aas.c180298.
9. Gu X Q), Ni T G, Wang W et al. Cross-domain transfer person re-identification via topology properties preserved local fisher discriminant analysis. Journal of Ambient Intelligence and Humanized Computing (2020). DOI: 10.1007/s12652-019-01665-9
10. Gu X Q, Chung F, Wang S. Extreme vector machine for fast training on large data. Int. J. Mach. Learn. & Cyber. 11, 33-53, 2020.
