唐艳丽，女，1990年8月生，山东省福山区人。博士、讲师。主要讲授《高等数学》等课程。主要研究方向：符号计算及其应用。

主要研究成果

1. Huisheng Zhang, Yanli Tang, Xiaodong Liu.Batchgradient training method with smoothing L0 regularization for feedforwardneural networks, Neural Computing and Applications, 26(2), 383-390, 2015.第二作者.

2. Huisheng Zhang, Yanli Tang.Online gradient methodwith smoothing ℓ0 regularization for feedforward neuralnetworks, Neurocomputing, 224, 1-8, 2017.第二作者.

3. Yanli Tang，Dongmei Zhang, Feng Li. Limit cycles andintegrability of a class of quintic system. Mathematics 2022, 10, 2993. 首位.

4. Yanli Tang， Feng Li. Multiple stable states for aclass of predator-prey system with two harvesting rates. Journal of AppliedAnalysis & Computation, 2024, 14(1): 506-514. doi: 10.11948/20230295.首位.

5. Yanli Tang，Yusen Wu, Feng Li. Center problem andbifurcation of limit cycles for quasi-homogeneous systems.Journal of AppliedAnalysis and Computation.首位.