夏雪
职称：讲师，硕士生导师
学位：博士
邮箱：yeziandkuma@qq.com
研究兴趣：机器学习，模式识别，图像处理，深度学习
教育经历：2015.09-2018.12 江西财经大学 工学博士
2011.09-2014.03 上海大学 工学硕士
2007.09-2011.06 上海大学 工学学士


部分代表作

1.Yuan Feiniu, Lin Zhang, Xia Xue*, Qinghua Huang, Xuelong Li. A wave-shaped deep neural network for smoke density estimation, Transactions on Image Processing. 2020, 29: 2301-2313.
2. 夏雪, 袁非牛*, 章琳, 杨龙箴,史劲亭. 从传统到深度：视觉烟雾识别、检测到分割. 中国图象图形学报. 2019, 24(10): 1627-1647.
3. Yuan Feiniu, Xia Xue*, Jinting Shi*. Holistic learning-based high-order feature descriptor for smoke recognition, International Journal of Wavelets, Multiresolution and Information Processing. 2019. 17(02): 1-17.(Related features and codes:megaDisk)
4. 袁非牛, 夏雪*, 李钢, 章琳, 史劲亭. 面向烟雾识别与纹理分类的Gabor网络. 中国图象图形学报. 2019, 24(2):269-281. (Related features and codes: megaDisk)
5. Yuan Feiniu*, Xia Xue*, Jinting Shi, Lin Zhang, Jifeng Huang. Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition, Information Sciences, 2018, 468: 193-212.(Related features and codes:megaDisk)
6. Yuan Feiniu*, Xia Xue, Jinting Shi*. Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns, Information Sciences, 2018, 460-461: 202-222.
7.Feiniu Yuan, Tiantian Tang,Xue Xia*, Jinting Shi*, Shuying Li. Dual-encoded features from both spatial and Curvelet domains for image smoke recognition,KSII-TIIS,2019, 13(4): 2078-2093

参与指导
Yu Zhou, Feiniu Yuan*, Xue Xia, Ya Li.Single image haze removal by feature mapping, ICME 2019 Workshop,Shanghai, China :144-149.