邵强，男，中共党员，工学硕士，毕业于大连工业大学信息科学与工程学院。研究方向为机器学习、智能计算、算法优化。以第一作者发表SCI论文1篇，合作发表SCI论文4篇，EI会议3篇。

主要学术成果：

1、Qiang Shao et al. A smoothing interval neural networks-based Caputo fractional-order gradient learning algorithm. International Journal of Machine Learning and Cybernetics. (第一作者，JCR三区)

2、Yuanquan Liu, Qiang Shao et al. An interval neural network-based Caputo fractional-order extreme learning machine applied to classification. Applied Soft Computing. (第二作者，JCR一区)

3、Yan Liu, Fang Liu, and Qiang Shao. Weak and strong convergence analysis of fully complex-valued high-order TSK model. Fuzzy Sets and Systems. (第三作者，JCR一区)

4、Yan Liu, Yuanquan Liu, Qiang Shao et al. A Novel Neuro-fuzzy Learning Algorithm for First-Order Takagi–Sugeno Fuzzy Model: Caputo Fractional-Order Gradient Descent Method. International Journal of Fuzzy Systems. （第三作者，JCR三区)

5、Yan Liu, Rui Wang, Yuanquan Liu, Qiang Shao et al. A novel learning approach to remove oscillations in First‐Order Takagi–Sugeno fuzzy System: gradient Descent‐Based Neuro‐Fuzzy algorithm using smoothing group lasso regularization. Advanced Theory and Simulations. (第四作者，JCR四区)