个人简述:

2017年：教育部自然科学二等奖（第3完成人）； 2017年：2018年度陕西省青年科技新星； 2017年：陕西省高等学校科学技术奖一等奖（第5完成人）； 2016年：西北工业大学优秀博士学位论文。

科研工作:

2016.3-至今 西北工业大学自动化学院 副研究员  2013.10-2016.3 西北工业大学 博士后 主要科研项目： 国家自然科学基金面上项目：基于判别和旋转不变卷积神经网络的高分遥感图像目标检测，2018.1-2021.12； 国家自然科学基金面上项目（第二）：融合判别深度特征和物体属性特征的高分遥感图像场景分类，2018.1-2021.12；  陕西省自然科学基金项目：高分遥感图像目标检测与识别，2017.1-2018.12； 航天科学技术基金：基于XXXX的多类目标识别技术，2017.1-2017.12； 国家自然科学青年基金项目：基于特征自学习的高分光学遥感图像多类目标快速检测与识别，2015.1-2017.12； 中国博士后科学基金特别资助项目：高效、准确的高分光学遥感图像多类目标检测与识别，2015.8-2016.3； 中国博士后科学基金面上项目：高分遥感图像多类目标快速检测与识别的关键技术研究，2014.5-2016.3； 陕西省博士后科学基金项目：基于深度学习和模型共享的遥感图像目标识别，2015.10-2016.3； 中国博士后国际交流计划学术交流项目； 中央高校基本科研业务费资助项目，等。 近年来，在计算机视觉、模式识别、深度学习、遥感图像处理和分析等领域发表国际期刊论文和国际会议论文30余篇，其中：SCI收录20余篇，ESI高被引论文9篇，ESI热点论文5篇。第一发明人/第二发明人授权国家(国防)发明专利8项。 Journal Papers (selected)： [19] Gong Cheng, Ceyuan Yang, Xiwen Yao, Lei Guo, Junwei Han.  When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs. IEEE Transactions on Geoscience and Remote Sensing, to appear, 2018. (SCI, IF=4.942)  [18] Ke Li, Gong Cheng *(通讯作者), Shuhui Bu, Xiong You. Rotation-insensitive and context augmented object detection in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, to appear, 2018. (SCI, IF=4.942)  [17] Gong Cheng, Peicheng Zhou, Junwei Han. Duplex metric learning for image set classification. IEEE Transactions on Image Processing, 27(1): 281-292, 2018.(SCI, IF=4.828)  [16] Gong Cheng, Junwei Han, Xiaoqiang Lu. Remote sensing image scene classification: benchmark and state of the art. Proceedings of the IEEE, 105(10): 1865-1883, 2017.(SCI, IF=9.237)  (ESI热点论文和高被引论文) [15] Junwei Han, Dingwen Zhang*, Gong Cheng *(通讯作者), Nian Liu, Dong Xu. Advanced deep learning techniques for salient and category-specific object detection: a survey. IEEE Signal Processing Magazine, 35(1): 84-100. (SCI, IF=9.654)   [14] Gong Cheng, Zhenpeng Li, Xiwen Yao, Lei Guo, Zhongliang Wei. Remote sensing image scene classification using bag of convolutional features. IEEE Geoscience and Remote Sensing Letters, 14(10): 1735-1739, 2017 . (SCI, IF=2.761)  [13] Junwei Han, Gong Cheng*(通讯作者) , Zhenpeng Li, Dingwen Zhang. A Unified Metric Learning-Based Framework for Co-saliency Detection. IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2017.2706264, 2017. (SCI, IF=3.599)   [12] Gong Cheng, Peicheng Zhou, Junwei Han. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 54(12): 7405-7415, 2016. (SCI, IF=4.942) (ESI热点论文和高被引论文)   [11] Gong Cheng, Junwei Han. A survey on object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 117: 11-28, 2016. (SCI, IF=6.387) (ESI热点论文和高被引论文)   [10] Xiwen Yao, Junwei Han, Gong Cheng, Xueming Qian, Lei Guo. Semantic annotation of high-resolution satellite images via weakly supervised learning. IEEE Transactions on Geoscience and Remote Sensing, 54(6): 3660-3671, 2016. (SCI, IF=4.942) (ESI热点论文和高被引论文)   [9] Chao Yao, Gong Cheng*(通讯作者) . Approximative Bayes optimality linear discriminant analysis for Chinese handwriting character recognition. Neurocomputing, 207: 346-353, 2016. (SCI, IF = 2.392)  [8] Peicheng Zhou, Gong Cheng*(通讯作者) , Zhenbao Liu, Shuhui Bu, Xintao Hu. Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping. Multidimensional systems and signal processing, 27(4): 925-944, 2016. (SCI, IF = 1.436) (ESI高被引论文)   [7] Gong Cheng, Junwei Han, Lei Guo, Zhenbao Liu, Shuhui Bu, Jinchang Ren. Effective and efficient midlevel visual elements-oriented land-use classification using VHR remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 53(8): 4238-4249, 2015. (SCI, IF=4.942) (ESI高被引论文)  [6] Junwei Han, Dingwen Zhang, Gong Cheng, Lei Guo, Jinchang Ren. Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning. IEEE Transactions on Geoscience and Remote Sensing, 53(6): 3325-3337, 2015. (SCI, IF=4.942) (ESI热点论文和高被引论文)  [5] Gong Cheng, Peicheng Zhou, Junwei Han, Lei Guo, Jungong Han. Auto-encoder-based shared mid-level visual dictionary learning for scene classification using very high resolution remote sensing images. IET Computer Vision, 9(5): 639-647, 2015. (SCI, IF = 0.963)   [4] Gong Cheng, Junwei Han, Peicheng Zhou, Lei Guo. Multi-class geospatial object detection and geographic image classification based on collection of part detectors. ISPRS Journal of Photogrammetry and Remote Sensing, 98: 119-132, 2014. (SCI, IF=6.387) (ESI高被引论文)   [3] Junwei Han, Peicheng Zhou, Dingwen Zhang, Gong Cheng, Lei Guo, Zhenbao Liu, Shuhui Bu, Jun Wu. Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding. ISPRS Journal of Photogrammetry and Remote Sensing, 89: 37-48, 2014. (SCI, IF=6.387) (ESI高被引论文)   [2] Gong Cheng, Junwei Han, Lei Guo, Xiaoliang Qian, Peicheng Zhou, Xiwen Yao, Xintao Hu. Object detection in remote sensing imagery using a discriminatively trained mixture model. ISPRS Journal of Photogrammetry and Remote Sensing, 85: 32-43, 2013. (SCI, IF=6.387)  [1] Gong Cheng, Lei Guo, Tianyun Zhao, Junwei Han, Huihui Li, Jun Fang. Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA. International Journal of Remote Sensing, 34(1): 45-59, 2013. (SCI, IF=1.138)  Conference Papers (selected)： [2] Gong Cheng, Peicheng Zhou, Junwei Han. RIFD-CNN: Rotation-invariant and Fisher discriminative convolutional neural networks for object detection. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 2884-2893, Las Vegas, June 26-30, 2016. (CCF A类会议)  [1] Gong Cheng, Junwei Han, Lei Guo, Tianming Liu. Learning coarse-to-fine sparselets for efficient object detection and scene classification. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp. 1173-1181, Boston, Jun. 8-10, 2015. (CCF A类会议)   个人主页: www.escience.cn/people/gongcheng

教育背景:

2009.9-2013.10 西北工业大学  自动化学院  博士   2007.9-2010.4 西北工业大学  自动化学院  硕士 2003.9-2007.7 西安电子科技大学  电子工程学院  本科