领域：高端装备制造产业 学校：复旦大学职称：青年研究员
1.智能图像分析和高分辨率图像处理：主要是利用各类深度学习算法包括深层稀疏编码算法、超像素图像分割算法、全卷积深度分割网络算法等来对各类图片尤其是高分辨率遥感图像进行分类和目标检测，从而有效的实现对某一地面区域的精准监控。
2.机器学习和深度学习：主要是利用各种特征提取和模式识别技术进行图片内容鉴定的算法。包括但不限于利用图像参数与像素特征之间关联性进行回归学习，利用图像白平衡与图像内容统计特征之间关系进行区分性分类，利用深度卷积神经网络提取图像目标特征等算法。所研究算法应用在实际环境中并取得卓越效果。
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(1) Tao Chen, Shijian Lu, Jiayuan Fan, S-CNN: Subcategory-Aware Convolutional Networks for Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(10):2522-2528
(2) Tao Chen, Shijian Lu, Jiayuan Fan, SS-HCNN: Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification, IEEE Transactions on Image Processing, 2019, 28(5):2389-2398
(3)Jiayuan Fan, Tao Chen, Shijian Lu, Superpixel Guided Deep-Sparse-Representation Learning for Hyperspectral Image Classification. IEEE Transactions on Circuits and Systems for Video Technology , 2018, 28(11):3163-3173
(4)Jiayuan Fan, Tao Chen, Shijian Lu, Unsupervised Feature Learning For Land-Use Scene Recognition. IEEE Transactions on Circuits and Systems for Video Technology , 2017, 55(4):2250-2261
(5) Jiayuan Fan，Hong Cao, Alex Kot, Estimating EXIF Parameters Based On Noise Features For Image Manipulation Detection, IEEE Transactions on Information Forensics and Security, 2013, 8(4):608-618
(6) Jiayuan Fan, Tao Chen，Alex Kot, EXIF-white Balance Recognition For Image Forensic Analysis. Multidimensional Systems and Signal Processing, 2017, 28(3):795-815
(7) Jiuwen Cao, Tao Chen, Jiayuan Fan, Landmark Recognition with Compact BoW Histogram and Ensemble ELM, Multimedia Tools and Applications, 2016, 75(5): 2839 - 2857(8) Tao Chen, Shijian Lu, Jiayuan Fan, Context-Aware Vocabulary Tree For Mobile Landmark Recognition, Journal of Visual Communication and Image Representation, 2015,30(C):289-298
