姚西文


的个人主页 http://teacher.nwpu.edu.cn/yaoxiwen

基本信息 The basic information

姚西文

自动化学院

博士研究生毕业

工学博士

副研究员(自然科学)

控制科学与工程-模式识别与智能系统

工作经历 Work Experience

2021.07-至今             西北工业大学 博士生导师

2019.06-至今             西北工业大学 副研究员

2018.07-至今             西北工业大学 硕士生导师

2016.12-2019.06       西北工业大学 助理研究员

教育经历 Education Experience

2010.09-2016.11  西北工业大学 博士

2006.09-2010.07  西北工业大学 本科 

招生信息 Admission Information

欢迎优秀学生保送和报考一级学科“控制科学与工程” (二级学科“模式识别与智能系统”)专业的研究生。

对学生要求:态度认真端正,了解图像处理基本知识。 

联系邮箱:yaoxiwen@nwpu.edu.cn

荣誉获奖 Awards Information

2021年:在火箭军“智箭·火眼”人工智能挑战赛科目四“按图索骥”中取得速度第一名、精度第二名,综合第二名的优异成绩;

2021年:2020年度IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS)最佳审稿人奖(Best Reviewer);

2020年:"Revisiting co-saliency detection: A novel approach based on two-stage multi-view spectral rotation co-clustering" 荣获陕西省第十四届自然科学优秀学术论文二等奖;

2019年:"When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs" 入选2018中国百篇最具影响国际学术论文;

2019年:西北工业大学优秀博士论文;

2018年:ISPRS Journal of Photogrammetry and Remote SensingNeurocomputing 杰出贡献审稿人奖(Outstanding Contribution in Reviewing) ; 

2016年:博士研究生国家奖学金;

2013年:博士研究生国家奖学金。

科学研究 Scientific Research

研究方向 计算机视觉、深度学习、遥感图像处理与分析。

主持 国家自然科学基金面上项目、青年基金、中国博士后基金特别资助、陕西省自然科学基础研究计划、航天科学技术基金、中国博士后基金面上一等资助、陕西省博士后科研一等资助等多项科研项目;

参与 国家重点研发计划、国家科技重大专项(“高分重大专项”)、国家自然科学基金面上项目等多项科研项目。


学术成果 Academic Achievements

近年来,在计算机视觉、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20余篇,其中,ESI高被引论文6篇,热点论文5篇,Google Scholar引用近1800次,授权国家(国防)发明专利9项。

Selected Publications

[17] Lingjun Li, Xiwen Yao*(通讯作者), Gong Cheng, Mingliang Xu, Jungong Han, Junwei Han. Solo-to-Collaborative Dual Attention Network for One-Shot Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. DOI:10.1109/TGRS.2021.3091003. (SCI 1区) 

[16] Lingjun Li, Junwei Han, Xiwen Yao*(通讯作者), Gong Cheng, Lei Guo. DLA-MatchNet for Few-shot Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. DOI:10.1109/TGRS.2020.3033336. (SCI 1区) 

[15] Xiwen Yao, Xiaoxu Feng, Junwei Han*, Gong Cheng, Lei Guo. Automatic Weakly Supervised Object Detection from High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning. IEEE Transactions on Geoscience and Remote Sensing, 59(1): 675-685, 2021. (SCI 1区, ESI高被引论文)

[14] Xiaoxu Feng, Junwei Han, Xiwen Yao*(通讯作者), Gong Cheng. TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. DOI:10.1109/TGRS.2020.3030990. (SCI 1区) 

[13] Kun Song, Xiwen Yao, Feiping Nie, Xuelong Li, Mingliang Xu. Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering. Pattern Recognition, 109, 2021. (SCI 2区)

[12] Junwei Han#, Xiwen Yao#(共同第一作者), Gong Cheng, Xiaoxu Feng, Dong Xu. P-CNN: Part-based convolutional neural networks for fine-grained visual categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI: 10.1109/TPAMI.2019.2933510. (SCI 1区)

[11] Xiaoxu Feng, Junwei Han*, Xiwen Yao*(通讯作者), Gong Cheng. Progressive contextual instance refinement for weakly supervised object detection in remote sensing imagesIEEE Transactions on Geoscience and Remote Sensing, 58(11): 8002-8012, 2020. (SCI 1区)

[10] Gong Cheng, Yongjie Si, Hailong Hong, Xiwen Yao*(通讯作者), Lei GuoCross-scale feature fusion for object detection in optical remote sensing imagesIEEE Geoscience and Remote Sensing Letters, 18(3): 431-435, 2021. (SCI 3区)

[9] Xiwen Yao, Junwei Han, Dingwen Zhang, Feiping Nie. Revisiting co-saliency detection: a novel approach based on two-stage multi-view spectral rotation co-clustering. IEEE Transactions on Image Processing, 26(7): 3196-3209, 2017. (SCI 1区, ESI高被引和热点论文)

[8] 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 1区, ESI高被引和热点论文)

[7] Gong Cheng, Zhenpeng Li, Xiwen Yao*(通讯作者), 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 3区, ESI高被引和热点论文)

[6] 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 1区, ESI高被引和热点论文)

[5] Gong Cheng, Zhenpeng Li, Junwei Han, Xiwen Yao, Lei Guo. Exploring hierarchical convolutional features for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 56(11): 6712-6722, 2018. (SCI 1区,ESI高被引和热点论文)

[4] Yixuan Yuan#, Xiwen Yao#(共同第一作者), Junwei Han, Lei Guo, Max Q.-H. Meng. Discriminative joint-feature topic models with dual constraints for WCE classification. IEEE Transcations on Cybernetics, 48(7): 2074-2085, 2018. (SCI 1区)

[3] Xiwen Yao, Junwei Han, Lei Guo, Shuhui Bu, Zhenbao Liu. A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF. Neurocomputing, 164: 162-172, 2015. (SCI 2区)

[2] Xiaoliang Qian, Sheng Lin, Gong Cheng, Xiwen Yao, Hangli Ren and Wei Wang. Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion. Remote Sensing. 12(1): 143, 2020. (SCI 2区)

[1] 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 1区)


团队信息 Team Information

信息融合技术教育部重点实验室成员

自动化学院郭雷、韩军伟教授团队成员