个人简介：

武向娟，1985年生，工学博士，副教授，硕士生导师，2022年毕业于西安电子科技大学计算机科学与技术学院。研究方向：计算智能、图像处理、AI4Science等，涉及深度学习算法与进化算法的交叉研究及应用、深度学习算法在气象领域相关图像中的应用研究等。目前主持国家自然科学基金1项，宁夏自然科学基金优秀青年项目1项，宁夏重点研发项目（引才专项）1项，发表SCI论文和EI论文多篇。

招生信息：

欢迎勤奋好学、数学理论功底扎实、编程能力突出，对计算智能、图像处理应用、深度学习与进化交叉领域感兴趣的硕士生和本科生与我交流联系。邮箱：xjwu@nxu.edu.cn。

承担科研情况：

1.国家自然科学基金,地区项目(62362056), 基于自主学习的大规模多目标优化问题搜索空间缩减策略研究, 2024.01 – 2027.12,在研,主持

2.宁夏自然科学基金,优秀青年项目(2023AAC05010), 基于学习模型的大规模多目标智能优化算法研究, 2023.07 – 2026.06,在研,主持

近几年主要成果：

[1]Xiangjuan Wu, Yuping Wang and Ziqing Wang. A learning and potential area-mining evolutionary algorithm for large-scale multi-objectiveoptimization[J]. Expert Systems With Applications, 2024,237: 121563. (中科院-1区，Top期刊)

[2]Xiangjuan Wu, Yuping Wang and Ninglei Fan. A new filled function method based on adaptive search direction and valley widening for global optimization[J]. Applied Intelligence, 2021:51(8): 6234-6254. (中科院-2区)

[3]Xiangjuan WuandYuping Wang. A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization [J]. Connection Science. 2022,34(1):1454-1481. (中科院-4区)

[4]Xiangjuan Wu, Yuping Wang, Shui Tian and Ziqing Wang. A new reference point and direction guidance-based algorithm for large-scale multi-objective optimization [J]. International Journal of Pattern Recognition and Artificial Intelligence. 2021,35(16):2159058(1-36). (中科院-4区)

[5] Chunyang Wang, Yuping Wang,XiangjuanWuand Xiaofang Guo. A distributed storage MLCS algorithm with time efficient upper bound and precise lower bound. Information Science. 2022,618: 118-135. (中科院-1区, Top期刊)

[6] Pengtao Wang,Xiangjuan Wu, Hangqing Deng. A large-scale multi-objective optimization algorithm vis relativistic generative adversarial network[C], International Conference on Computational Intelligence and Security(CIS 2024), Xiamen, China, December 6-9, 2024, pp.1-5.

[7] Shuai Tian, Ziqing Wang,Xiangjuan Wuand Yuping Wang. A Reference Point and Multi-direction Search Based Evolution Algorithm for Large-scale Multi-objective Optimization[C]. International Conference on Data-driven Optimization of Complex Systems (DOCS2022). Chengdu,China, October 28-30,2022,pp. 1-6.

[8] Dangdang Tang, Yuping Wang andXiangjuan Wu. A symmetric points search and variable grouping method for large-scale multi-objective optimization [C], IEEE Congress on Evolutionary Computation (CEC) (2020), Glasgow, UK, July 19-24, 2020, pp. 1-8.