Publications

Conferences, Journals and Workshops

1. Xiaojian Ding, Fan Yang. Multi-View Randomized Kernel Classification via Nonconvex Optimization [C]. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 20-27, 2024.
   

2. Kaixiang Wang, Xiaojian Ding, Fan Yang. Non-Overlapped Multi-View Weak-Label Learning Guided by Multiple Correlations [C] ACM Multimedia 2024.
   

3. Xiaojian Ding, Menghan Cui, Yi Li, et al. A maximal accuracy and minimal difference criterion for multiple kernel learning [J]. Expert Systems with Applications, 2024: 124378.
   

4. Menghan Cui, Kaixiang Wang, Xiaojian Ding, et al. Multi-view Stable Feature Selection with Adaptive Optimization of View Weights [J]. Knowledge-Based Systems, 2024: 111970.
   

5. Zihan Xu, Xiaojian Ding, Menghan Cui, et al. Multi-kernel subspace stable clustering with exact rank constraints [J]. Information Fusion, 2024, 110: 102488.
   

6. Xiaojian Ding, Yi Li and Shilin Chen. Maximum margin and global criterion based-recursive feature selection [J]. Neural Networks, 2024, 169: 597-606.
   

7. Xiaojian Ding, Fan Yang, Fumin Ma and Shilin Chen. A Unified Multi-Class Feature Selection Framework for Microarray Data [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, vol. 20, no. 6, pp. 3725-3736.
   

8. Xiaojian Ding, Fan Yang, Yaoyi Zhong, Jie Cao. A novel recursive gene selection method based on least square kernel extreme learning machine [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, vol. 19, no. 4, pp. 2026-2038.
   

9. Xiaojian Ding, Jian Liu, Fan Yang, Jie Cao. Random compact Gaussian kernel: Application to ELM classification and regression [J]. Knowledge-Based Systems, 2021, 217: 106848.
   

10. Xiaojian Ding, Fan Yang, Fumin Ma. An efficient model selection for linear discriminant function-based recursive feature elimination [J]. Journal of Biomedical Informatics, 2022, 129: 104070.
    

11. Xiaojian Ding, Sheng Jin, Ming Lei, Jie Cao. A predictor-corrector affine scaling method to train optimized extreme learning machine [J]. Journal of the Franklin Institute, 2022, 359(2): 1713-1731.
    

12. Xiaojian Ding, Fan Yang, Sheng Jin, Jie Cao. An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm [J]. Computers in Biology and Medicine, 2021, 134: 104505.
    

13. Xiaojian Ding, Jian Liu, Fan Yang, Jie Cao. Random radial basis function kernel-based support vector machine [J]. Journal of the Franklin Institute, 2021, 358(18): 10121-10140.
    

14. Xiaojian Ding, Yuan Lan, Zhifeng Zhang, Xin Xu, "Optimization extreme learning machine with v regularization [J]. Neurocomputing, 2017, 261: 11-19.
    

15. Xiaojian Ding, Baofang Chang. Active set strategy of optimized extreme learning machine [J]. Chinese science bulletin, 2014, 59(31): 4152-4160.
    

16. Guangbin Huang, Hongming Zhou, Xiaojian Ding, Rui Zhang, Extreme learning machine for regression and multiclass classification [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012, 42(2): 513-529.