个人简介
主要从事遥感图像智能解译和计算机视觉方向的研究，将传统的遥感理论方法和人工智能技术深度交叉融合，提出了数据和物理模型协同驱动的地物识别方法，提高了模型的可解释性和泛化能力。 突破了样本稀疏条件下，无需模型的光谱解混、无监督、无配准的遥感图像融合以及开集土地覆盖分类等地物识别的关键技术，显著提升了火星水源的检测精度和 大规模复杂地表场景地物分类的精度和效率。 已发表学术论文50余篇， 担任 TPAMI, TIP, TGRS 等顶级期刊的审稿人。
教育经历
2012-2017 美国田纳西大学诺克斯维尔分校 计算机工程 博士
2008-2010 东北大学 模式识别与智能系统 硕士
2004-2008 东北大学 自动化 本科
工作经历
2023 至今 北京师范大学地理科学学部 研究员
2022-2023 北京师范大学地理科学学部 副教授
2018-2022 美国田纳西大学诺克斯维尔分校 Research Associate
重要奖项
国家级高层次青年人才
TGRS Best Reviewer
美国田纳西大学校长荣誉-卓越职业前途奖
IEEE 国际地球科学与遥感协会-学生竞赛冠军 (1/174)，高木幹雄学生奖
电子工程和计算机科学系 Min H.Kao 奖学金
近期论文
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1. Zhengyang Hou # , Ying Qu # , Liqiang Zhang * , Jun Liu , Faqiang Wang , Qiwei Yu , An Zeng , Ziyue Chen , Yuanyuan Zhao , Hong Tang , Yuebin Wang , Xingang Li , Yang Li , Shuwen Peng , Jing Ran , Xin Yao , Xichen Meng , Suhong Liu , Chenghu Zhou, War city profiles drawn from satellite images, 2024, Nature Cities .
2. Yu, Qiwei # , Ying Qu # , Liqiang Zhang, Xin Yao, Jing Yang, Siyuan Chen, Hui Liu et al. Spatial spillovers of violent conflict amplify the impacts of climate variability on malaria risk in sub-Saharan Africa. Proceedings of the National Academy of Sciences, 121, no. 15 (2024): e2309087121. ( PNAS )
3. Li, Xingang, Ying Qu* , Geng Hao, Qi Xin, Jianxi Huang, Shuwen Peng, Liqiang Zhang. Mapping annual 10-m maize cropland changes in China during 2017–2021. Scientific Data 10, 765 (2023).
4. Ying Qu , Zhenzhou Shao and Hairong Qi. “Non-local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization”, IEEE Transactions on Pattern Analysis and Machine Intelligence，Oct. 2022. ( TPAMI )
5. Ying Qu , Hairong Qi and Chiman Kwan. “Unsupervised Sparse Dirichlet-net for Hyperspectral Image Super-Resolution”, Computer Vision and Pattern Recognition, pp. 2511-2520, Salt lake city, USA, June 2018. （ CVPR 亮707f8b8665 6.6%）
6. Razieh Kaviani Baghbaderani, Ying Qu* , Hairong Qi, Steven Craig Stutts. “Representative-Discriminative Learning for Open-Set Land Cover Classification of Satellite Imagery”, European Conference on Computer Vision，pp. 1-17, Springer, Cham，Aug. 2020. （ ECCV ）
7. Ying Qu , Hairong Qi and Chiman Kwan, Naoto Yokoya, Jocelyn Chanussot. “Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net”, in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3079518，May 2021. （ TGRS ）
8. Ying Qu , Razieh Kaviani Baghbaderani, Chiman Kwan and Hairong Qi. “Unsupervised Pansharpening based on Self-Attention Mechanism”, in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no.4, pp. 3192-3208, April 2021. （ TGRS，ESI 高被引 ）
9. Ying Qu , Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, and Hairong Qi, “Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification”, in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3045790，Jan. 2021. （ TGRS ）
10. Ying Qu , and Hairong Qi. “uDAS: An Untied Denoising Autoencoder with Sparsity for Spectral Unmixing.” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1698-1712, March 2019. （ TGRS , ESI 高被引 ）
11. Ying Qu , Wei Wang, Rui Guo, Bulent Ayhan, Chiman Kwan, Steven Vance, and Hairong Qi. “Hyperspectral Anomaly Detection through Spectral Unmixing and Dictionary based Low Rank Decomposition”, IEEE Transactions on Geoscience and Remote Sensing vol. 56, no. 8, pp. 4391-4405, Aug.2018. （ TGRS , ESI 高被引 ）
12. Ying Qu , Rui Guo, Wei Wang, Hairong Qi, Bulent Ayhan, Chiman Kwan, and Steven Vance. “Anomaly Detection in Hyperspectral Images through Spectral Unmixing and Low Rank Decomposition”, IEEE International Geoscience and Remote Sensing Symposium, pp. 1855-1858, Beijing, China, July 2016. （ IGARSS Best Student Paper Awards， 唯一 ）
学术兼职
TGRS: Associate Editor
Remote Sensing: Topical Advisory Panel Member
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