西北工業(yè)大學(xué)

西北工業(yè)大學(xué)自動化學(xué)院研究生導(dǎo)師程塨介紹如下：

基本信息 The basic information

姓名: 程塨
學(xué)院: 自動化學(xué)院
學(xué)歷: 博士研究生畢業(yè)
學(xué)位: 工學(xué)博士
職稱: 研究員（自然科學(xué)）
學(xué)科: 控制科學(xué)與工程-模式識別與智能系統(tǒng)
郵箱: gcheng@nwpu.edu.cn
電話: 13891862274

工作經(jīng)歷 Work Experience

2018.7-至今 西北工業(yè)大學(xué)自動化學(xué)院   研究員(破格)，碩士生導(dǎo)師 ，博士生導(dǎo)師

2017.6-2018.7 西北工業(yè)大學(xué)自動化學(xué)院   副研究員，碩士生導(dǎo)師

2016.3-2017.6 西北工業(yè)大學(xué)自動化學(xué)院   副研究員

2013.10-2016.3 西北工業(yè)大學(xué) 博士后

教育經(jīng)歷 Education Experience

2009.9-2013.10 西北工業(yè)大學(xué)  自動化學(xué)院  博士 

2007.9-2010.4 西北工業(yè)大學(xué)  自動化學(xué)院  碩士

2003.9-2007.7 西安電子科技大學(xué)  電子工程學(xué)院  本科

教育教學(xué) Education And Teaching

《深度學(xué)習(xí)與遙感圖像分析》，研究生專業(yè)課

《圖像與視頻目標(biāo)檢測技術(shù)》，研究生專業(yè)課

招生信息 Admission Information

歡迎優(yōu)秀學(xué)生保送和報考一級學(xué)科“控制科學(xué)與工程” （二級學(xué)科“控制理論與控制工程”、“模式識別與智能系統(tǒng)” ）專業(yè)的碩士研究生和博士研究生。

對學(xué)生要求：態(tài)度端正，英語、數(shù)學(xué)基礎(chǔ)較好，熟悉常用的編程語言，了解圖像處理、模式識別基本知識。

榮譽(yù)獲獎 Awards Information

2018年：Pattern Recognition、Pattern Recognition Letters、Knowledge-Based Systems杰出貢獻(xiàn)審稿人獎(Outstanding Contribution in Reviewing); 

2017年：2017年IEEE Geoscience and Remote Sensing Letters (IEEE GRSL)最佳審稿人獎(Best Reviewer)；

2017年：Journal of Visual Communication and Image Representation杰出貢獻(xiàn)審稿人獎(Outstanding Contribution in Reviewing)；

2017年：教育部自然科學(xué)二等獎（3/5）；

2017年：2018年度陜西省青年科技新星；

2017年：陜西省高等學(xué)校科學(xué)技術(shù)獎一等獎（5/7）；

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(xiàn)審稿人獎(Outstanding Contribution in Reviewing)

2016年：西北工業(yè)大學(xué)優(yōu)秀博士學(xué)位論文。

科學(xué)研究 Scientific Research

研究方向：

計算機(jī)視覺、模式識別、深度學(xué)習(xí)、遙感圖像處理與分析

主要科研項(xiàng)目：
國家自然科學(xué)基金面上項(xiàng)目：基于判別和旋轉(zhuǎn)不變卷積神經(jīng)網(wǎng)絡(luò)的高分遙感圖像目標(biāo)檢測，2018.1-2021.12；
國家自然科學(xué)基金面上項(xiàng)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(xué)基金：機(jī)載光學(xué)圖像目標(biāo)檢測與識別技術(shù)研究，2017.10-2019.09；

陜西省創(chuàng)新人才推進(jìn)計劃-青年科技新星項(xiàng)目：基于深度度量學(xué)習(xí)的高分圖像場景分類，2018.1-2019.12；

陜西省自然科學(xué)基金面上項(xiàng)目：高分遙感圖像目標(biāo)檢測與識別，2017.1-2018.12；

航天科學(xué)技術(shù)基金：基于XXXX的多類目標(biāo)識別技術(shù)，2017.1-2017.12；
國家自然科學(xué)青年基金項(xiàng)目：基于特征自學(xué)習(xí)的高分光學(xué)遙感圖像多類目標(biāo)快速檢測與識別，2015.1-2017.12；
中國博士后科學(xué)基金特別資助項(xiàng)目：高效、準(zhǔn)確的高分光學(xué)遙感圖像多類目標(biāo)檢測與識別，2015.8-2016.3；

中國博士后科學(xué)基金面上項(xiàng)目：高分遙感圖像多類目標(biāo)快速檢測與識別的關(guān)鍵技術(shù)研究，2014.5-2016.3；

陜西省博士后科學(xué)基金項(xiàng)目：基于深度學(xué)習(xí)和模型共享的遙感圖像目標(biāo)識別，2015.10-2016.3；

中國博士后國際交流計劃學(xué)術(shù)交流項(xiàng)目；

中央高�；�本科研業(yè)務(wù)費(fèi)資助項(xiàng)目，等。

學(xué)術(shù)成果 Academic Achievements

近年來，在計算機(jī)視覺、模式識別、深度學(xué)習(xí)、遙感圖像處理和分析等領(lǐng)域發(fā)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(diǎn)論文5篇。第一發(fā)明人/第二發(fā)明人授權(quán)國家(國防)發(fā)明專利8項(xiàng)。

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(diǎn)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(diǎn)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(diǎn)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(diǎn)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(diǎn)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(jī)視覺專委會委員

陜西省圖象圖形學(xué)學(xué)會理事
中國國家自然科學(xué)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(tuán)隊(duì)信息 Team Information

隸屬于“信息融合技術(shù)”教育部重點(diǎn)實(shí)驗(yàn)室，所在團(tuán)隊(duì)由郭雷老師和韓軍偉老師領(lǐng)銜。

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