伍艳，女，博士，数学物理教学部教师
教育经历：
2009.09-2013.06，西南科技大学，数学与应用数学专业，学士
2013.09-2016.06，成都理工大学，概率论与数理统计专业，硕士
2018.10-2020.07，University of Luxembourg，联合培养大数据方向，联培博士
2017.09-2023.06，西南大学，统计学专业，博士
工作经历：
2016.08-2017.08，四川工商学院，专任教师
2023.08-至今，威廉希尔都江堰校区，专任教师。
教学工作：
承担课程：“高等数学”、“线性代数”与“概率论与数理统计”。
科研工作：
至2023年9月发表学术论文如下：
[1] Wu Y., Zhang Z., “Refining large knowledge bases using co-occurring information in associated kbs [J]. Frontiers in Physics, 2023, 11:78.(SCI).
[2] Wu Y., Zhang Z., Wang G. (2021) Correcting Large Knowledge Bases Using Guided Inductive Logic Learning Rules. In: Pham D.N., Theeramunkong T., Governatori G., Liu F. (eds) PRICAI 2021: Trends in Artificial Intelligence. PRICAI 2021. Lecture Notes in Computer Science, vol 13031. Springer, Cham. https://doi.org/10.1007/978-3-030-89188-6_42(CCF-C)
[3] Yan Wu, Jinchuan C, Plarent H., Vinu E., Martin T. Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback. EPiC Series in Computing 72 (2020): 92-106.
[4] X. Qiao, Y. Han, Y. Wu and Z. Zhang, "Progressive Text-to-Face Synthesis with Generative Adversarial Network," 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021, pp. 1-8, doi: 10.1109/FG52635.2021.9667004. (CCF-C)
[5] Han Y, Qiao X, Wu Y, et al. End-to-End 3D Facial Shape Reconstruction From an Unconstrained Image[C]//2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021). 2021: 325-332.
[6] Jian, M., He, H., Ma, C., Wu, Y., & Yang, H. Reducing greenhouse gas emissions: a duopoly market pricing competition and cooperation under the carbon emissions cap [J]. Environmental Science and Pollution Research, (2017).
[7] Ma C, Liu X, Zhang H, & Wu, Y. A green production strategies for carbon-sensitive products with a carbon cap policy [J]. Advances in Production Engineering & Management, 2016, 11(3).
获奖情况：
2018年国家留学基金委（CSC）卢森堡大学访问博士一年。
2016年四川高校教团队格培训优秀学员。
