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2016年：Remote Sensing of Environment（影響因子6.265）、ISPRS Journal of Photogrammetry and Remote Sensing（影響因子6.387）、Neurocomputing 杰出貢獻審稿人獎(Outstanding Contribution in Reviewing)

2016年：西北工業大學優秀博士學位論文。

科學研究 Scientific Research

研究方向：

計算機視覺、模式識別、深度學習、遙感圖像處理與分析

主要科研項目：
國家自然科學基金面上項目：基于判別和旋轉不變卷積神經網絡的高分遙感圖像目標檢測，2018.1-2021.12；
國家自然科學基金面上項目（第二）：融合判別深度特征和物體屬性特征的高分遙感圖像場景分類，2018.1-2021.12；
航空科學基金：機載光學圖像目標檢測與識別技術研究，2017.10-2019.09；

陜西省創新人才推進計劃-青年科技新星項目：基于深度度量學習的高分圖像場景分類，2018.1-2019.12；

陜西省自然科學基金面上項目：高分遙感圖像目標檢測與識別，2017.1-2018.12；

航天科學技術基金：基于XXXX的多類目標識別技術，2017.1-2017.12；
國家自然科學青年基金項目：基于特征自學習的高分光學遙感圖像多類目標快速檢測與識別，2015.1-2017.12；
中國博士后科學基金特別資助項目：高效、準確的高分光學遙感圖像多類目標檢測與識別，2015.8-2016.3；

中國博士后科學基金面上項目：高分遙感圖像多類目標快速檢測與識別的關鍵技術研究，2014.5-2016.3；

陜西省博士后科學基金項目：基于深度學習和模型共享的遙感圖像目標識別，2015.10-2016.3；

中國博士后國際交流計劃學術交流項目；

中央高校基本科研業務費資助項目，等。

學術成果 Academic Achievements

近年來，在計算機視覺、模式識別、深度學習、遙感圖像處理和分析等領域發表國際期刊論文和國際會議論文40余篇，其中：SCI收錄20余篇，ESI高被引論文10篇，ESI熱點論文5篇。第一發明人/第二發明人授權國家(國防)發明專利8項。

Journal Papers (selected)：

[21] Gong Cheng, Junwei Han, Peicheng Zhou, Dong Xu. Learning rotation-invariant and Fisher discriminative convolutional neural networks for object detection. IEEE Transactions on Image Processing, in press, 2018.(SCI, IF=4.828)

[20] Gong Cheng, Zhenpeng Li, Junwei Han, Xiwen Yao, Lei Guo. Exploring hierarchical convolutional features for hyperspectral image cassification. IEEE Transactions on Geoscience and Remote Sensing, in press, 2018. (SCI, IF=4.942)

[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, 56(5): 2811-2821, 2018. (SCI, IF=4.942)

[18] Ke Li, Gong Cheng *(通訊作者), Shuhui Bu, Xiong You. Rotation-insensitive and context augmented object detection in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 56(4): 2337-2348, 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熱點論文和高被引論文)

[15] Junwei Han, Dingwen Zhang*, Gong Cheng *(通訊作者), 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) (ESI高被引論文)

[13] Junwei Han, Gong Cheng*(通訊作者) , 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熱點論文和高被引論文)

[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熱點論文和高被引論文)

[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熱點論文和高被引論文)

[9] Chao Yao, Gong Cheng*(通訊作者) . 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*(通訊作者) , 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高被引論文)

[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高被引論文)

[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熱點論文和高被引論文)

[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高被引論文)

[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高被引論文)

[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)：

[3] Gong Cheng, Decheng Gao, Yang Liu, Junwei Han. Multi-scale and discriminative part detectors based features for multi-label image classification . 2018 International Joint Conference on Artificial Intelligence (IJCAI 2018), pp. 649-655, Stockholm, July 13-19, 2018. (CCF A類會議)

[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類會議)

[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類會議)

社會兼職 Social Appointments

CCF計算機視覺專委會委員

陜西省圖象圖形學學會理事
中國國家自然科學基金函評專家

Elsevier出版社國際期刊《Heliyon》編委

IEEE TNNLS (影響因子6.108)、 IEEE TCSVT、IEEE TMM、IEEE TGRS、PR、IEEE JSTARS、RSE (影響因子6.265)、ISPRS （影響因子6.387）、IEEE GRSL、Neurocomputing、Remote Sensing、Sensors、IJRS、EuJRS、IJPARI、JARS等二十余種國際期刊審稿人

團隊信息 Team Information

隸屬于“信息融合技術”教育部重點實驗室，所在團隊由郭雷老師和韓軍偉老師領銜。

個人主頁: www.escience.cn/people/gongcheng