研究领域：

1. 最优化理论与算法（双层优化）

学习经历：

1. 1999.09—2003.06 江汉石油学院信息与计算科学专业, 获学士学位;
2. 2004.09—2007.06 长江大学应用数学专业, 获硕士学位;
3. 2008.09—至今武汉大学应用数学专业攻读博士学位.

工作简历:

1. 2007— 现在 黄冈师范学院

主要科研成果：

1. Yue Zheng and June Liu. A Nonmonotone MBFGS Method for Solving Nonconvex Minimization Problems. Proceedings of the Third International Conference on Innovative Computing, Information and Control, Dalian, China, June 18-20, 2008. pp319-322. (EI：084011617192)
2. Yue Zheng. Global Convergence Properties of Conjugate Descent Method with Goldstein Line Search. Proceedings of the Seventh International Conference on Information and Management Sciences,Urumchi, China, Aug., 12-16, 2008. pp398-400. (ISTP)
3. Yue Zheng, Huanbin Liu and June Liu. A New Supermemory Gradient Method for Unconstrained Optimization. Proceedings of the International Symposium on Intelligent Information Technology Application,Shanghai,China,Dec.,20-21,2008. pp191-194.(ISTP)
4. June Liu, Huanbin Liu and Yue Zheng. A New Supermemory Gradient Method Without Line Search for Uncon strained Optimization. Proceedings of the Sixth International Symposium on Neural Networks,Wuhan,China, May 26-29, 2009. (IEEE)
5. Yue Zheng, Zhongping Wan. Global Convergence of Memory Gradient Method with Inexact Line Search. (已投稿).