教育背景：
2013.9-2018.12 电子科技大学计算机系 博士
2017.12-2018.12 新加坡南洋理工大学计算机系 访问学生
2016.9-2017.5 清华大学计算机系 访问学生
2009.9-2013.7 电子科技大学信息安全系 学士



工作经历：
2019年4月--至今 西南财经大学统计学院&统计研究中心 助理教授


研究兴趣：
人工智能，机器学习，深度学习，迁移学习，计算机视觉


欢迎在计算机、数学、数理统计等方向具有较大兴趣和较强学习能力的本科生、硕士生、博士生（co-supervised）加入我的研究组（fengmaolv@126.com）


部分研究成果：
1. Defu Liu, Guowu Yang, Yuchen Li, Jinzhao Wu, Fengmao Lv*. "Gradient boosting tree for 1H-MRS Alzheimer diagnosis." International Journal of Data Mining and Bioinformatics. 2020, 23(1):12-29.


2. Zhantao Cao, Guowu Yang, Qin Chen, Xiaolong Chen, Fengmao Lv*. "Breast tumor classification through learning from noisy labeled ultrasound images." Medical Physics, 2020, 47(3):1048-1057.


3. Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An. "Can cross entropy loss be robust to label noise?" International Joint Conference on Artificial Intelligence (IJCAI), 2020, accepted. (CCF A)


4. Fengmao Lv*, Tao Liang, Xiang Chen, Guosheng Lin. "Cross-domain semantic segmentation via domain-invariant interactive relation transfer." IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020, accepted. (CCF A)


5. Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong. "Constructing self-motivated pyramid curriculums for cross-domain semantic segmentation: a non-adversarial approach." Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019:6758-6767. (CCF A)


6. Fengmao Lv, Jun Zhu, Guowu Yang, Lixin Duan. "TarGAN: generating target data with class labels for unsupervised domain adaptation." Knowledge-Based Systems, 2019, 172:123-129.


7. Jiazhong Lu, Fengmao Lv*, Zhongliu Zhuo, Xiaosong Zhang, Xiaolei Liu, Teng Hu, Wei Deng. "Integrating traffics with network device logs for anomaly detection." Security and Communication Networks, 2019, **:1-10.


8. Fengmao Lv, Yuchen Li, Guowu Yang. "Boosting 1H-MRS Alzheimer diagnosis with boosted trees." Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018:913-918.


9. Quanhui Liu, Fengmao Lv, Qian Zhang, Ming Tang, Tao Zhou. "Impacts of opinion leaders on social contagions." Chaos: An Interdisciplinary Journal of Nonlinear Science, 2018, 28(5):053103.


10. Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan. "Domain adaptive semantic segmentation through structure enhancement." Proceedings of the European Conference on Computer Vision Workshops, 2018(2):172-179.


11. Fengmao Lv, Hao Chen, Jinzhao Wu, Linfeng Zhong, Xiaoyu Li, Guowu Yang. "Improving target discriminability for unsupervised domain adaptation." Proceedings of the International Conference on Neural Information Processing, 2018:287-298.


12. Chuan Liu, Wenyong Wang, Guanghui Tu, Yu Xiang, Siyang Wang, Fengmao Lv. "A new centroid based classification model for text categorization." Knowledge-Based Systems, 2017, 136:15-26.


13. Chuan Liu, Wenyong Wang, Meng Wang, Fengmao Lv, Martin Konan. "An effcient instance selection algorithm to reconstruct training set for support vector machine." Knowledge-Based Systems, 2017, 116:58-73.

14. Fengmao Lv, Guowu Yang, William Zhu, Chuan Liu. "Generative classification model for categorical data based on latent Gaussian process." Pattern Recognition Letters, 2017, 92:56-61.


15. Fengmao Lv, Guowu Yang, Wenjing Yang, Xiaosong Zhang, Kenli Li. "The convergence and termination criterion of quantum inspired evolutionary neural networks." Neurocomputing, 2017, 238:157-167.


16. Ruidong Chen, Weina Niu, Xiaosong Zhang, Zhongliu Zhuo, Fengmao Lv. "An effective conversation based botnet detection method." Mathematical Problems in Engineering, 2017.


17. Fuyou Fan, Guowu Yang, Qianqi Le, Fengmao Lv, Chao Zhao. "An optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm." Journal on Communications, 2015, 36(6):94-104. (in Chinese)


个人主页：https://fengmaolv.github.io/online-cv/
谷歌学术主页：https://scholar.google.com/citations?user=tJStjDQAAAAJ&hl=zh-CN&oi=ao