权豆，博士，西安电子科技大学副教授、华山学者菁英副教授、人工智能学院、智能感知与图像理解教育部重点实验室成员。主要从事遥感影像配准、视觉智能匹配定位导航、大模型轻量化部署应用、多模态信息处理等方面的研究。获陕西省优秀博士学位论文、入选陕西省科学技术协会青年人才托举计划。相关研究成果共发表论文 49 篇，以第一作者/通讯作者发表论文 19 篇，CCF-A类会议/SCI一区期刊论文 11 篇，ESI高被引论文2篇。国家发明专利8项。近年来，主持了国家自然科学基金青年项目、中国博士后面上基金项目、陕西省重点研发项目子课题、西安翔腾微电子科技有限公司重点课题，参与科技创新2030“新一代人工智能”重大项目、国家自然科学基金面上项目、XXX预研项目、中国电科20所重点课题等。带队指导学生参加相关研究领域的国际竞赛和国内竞赛，累积获奖10余次，包括IEEE GRSS 数据融合大赛、CVPR计算机视觉竞赛、IJCAI数据挑战赛与阿里云遥感图像解译大赛等。

招生信息

硕士招生

• 电子信息-计算机技术

• 电子信息-人工智能

• 智能EDA

欢迎对遥感影像智能解译、深度模型轻量化、多模态学习等研究领域感兴趣的本科生同学邮件联系

希望学生：

• 有坚定的科研热情

• 有空闲的时间精力

• 有较强的自驱力

• 有独立的探究力

你将收获：

• 科研交流、指导、讨论

• 科研体验

• 若有科研成果产出，你将是第一作者

科研项目

• 国家自然科学基金委员会, 青年科学基金项目, 基于深度特征关系学习的光学和SAR图像配准研究, 在研，主持

• 中国博士后科学基金会, 面上基金项目资助, 基于深度特征和关系蒸馏的跨场景遥感图像快速配准研究, 在研, 主持

• 陕西省重点研发计划，面向工业应用的数据生成与样本增强技术及应用，在研，子课题主持

• “集成电路与系统设计”航空科技重点实验室、陕西省计算机学会、西安翔腾微电子科技有限公司联合基金，基于多模态图像匹配的视觉导航算法研究，结题，主持

• 陕西省重点研发计划，多模态遥感数据智能解译技术及示范应用，在研，参与

• 科技部，科技创新2030“新一代人工智能”重大项目，基于深度学习开源框架构建生态系统，在研，参与

• 国家自然科学基金委员会, 面上项目, 基于深度域适应的高分辨遥感影像地物分类, 在研, 参与

• 国家自然科学基金委员会, 面上项目, 基于生成式对抗网的极化SAR地物分类, 结题, 参与

• 陕西省科技厅, 陕西省重点产业创新链（群)，面向高分辨率遥感影像的智能化标注云平台, 在研, 参与

代表性成果

• Wei Wang, Dou Quan*, Ning Huyan*, Chonghua Lv, Shuang Wang, Yunan Li, Licheng Jiao, Multi-Expert Learning Framework with the State Space Model for Optical and SAR Image Registration, IEEE Transactions on Geoscience and Remote Sensing, 2026.

• Chonghua Lv, Dong Zhao, Shuang Wang, Dou Quan, Ning Huyan, Nicu Sebe, Zhun Zhong, Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026.

• Shuang Wang*, Chonghua Lv, Dou Quan*, Ning Huyan, Xianwei Cao, Jingxi Sun, Licheng Jiao, Burden-Free Distillation From Foundation Model for Efficient Remote Sensing Change Detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, 2025.

• Hantong Xing, Shuang Wang*,  Chenxu Wang, Dou Quan*, Hanlin  Mo, Luyang Mei, Huaji Zhou, Licheng Jiao, AFLNet: Auxiliary Feature Learning-Guided Cross-Channel Automatic Modulation Classification, IEEE Transactions on Communications, vol. 73, no. 12, pp. 13519-13534, 2025.

• Hantong Xing, Shuang Wang*, Chenxu Wang, Dou Quan*, Pengtao Li, Huaji Zhou, Licheng Jiao, C2F-Net: Coarse-to-Fine Feature Alignment for Cross-Channel Automatic Modulation Classification, IEEE Transactions on Cognitive Communications and Networking, 2025.

• Hantong Xing, Shuang Wang*, Chenxu Wang, Dou Quan*, Yi Xu, Huaji Zhou, Hua Xu, Licheng Jiao, Disentangling Domain-Invariant Features From Few Samples for Automatic Modulation Classification, IEEE Transactions on Cognitive Communications and Networking, 2025.

• Dou Quan*, Zhe Wang, Chonghua Lv, Shuang Wang, Yi Li, Bo Ren, Jocelyn Chanussot, Licheng Jiao, LM-Net: A Lightweight Matching Network for Remote Sensing Image Matching and Registration, IEEE Transactions on Geoscience and Remote Sensing, 2024. 

• Dou Quan*, Zhe Wang, Shuang Wang, Yi Li, Bo Ren, Mengte Kang, Jocelyn Chanussot, Licheng Jiao, F3Net: Adaptive Frequency Feature Filtering Network for Multi-modal Remote Sensing Image Registration, IEEE Transactions on Geoscience and Remote Sensing, 2024. 

• Rufan Zhou, Dou Quan*, Shuang Wang, Chonghua Lv, Xianwei Cao, Jocelyn Chanussot, Yi Li, Licheng Jiao, A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection, IEEE Transactions on Geoscience and Remote Sensing, 2023.

• Dou Quan*, Huiyuan Wei, Shuang Wang, Yu Gu, Biao Hou, Licheng Jiao, A Novel Coarse-to-Fine Deep Learning Registration Framework for Multi-Modal Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 2023.

• Dou Quan*, Huiyuan Wei, Shuang Wang, Yi Li, Jocelyn Chanussot, Yanhe Guo, Biao Hou, Licheng Jiao, Efficient and Robust: A Cross-modal Registration Deep Wavelet Learning Method for Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.

• Shuang Wang, Qi Zang, Dong Zhao, Chaowei Fang, Dou Quan, Yutong Wan, Yanhe Guo, Licheng Jiao, Select, purify, and exchange: A multisource unsupervised domain adaptation method for building extraction, IEEE Transactions on Neural Networks and Learning Systems, 2023.

• Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Rui Yang, Licheng Jiao, Learning pseudo-relations for cross-domain semantic segmentation, Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023.

• Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Licheng Jiao, Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.

• Dou Quan, Shuang Wang, Ning Huyan, Yi Li, Ruiqi Lei, Jocelyn Chanussot, Biao Hou, Licheng Jiao, A Concurrent Multiscale Detector for End-to-End Image Matching, IEEE Transactions on Neural Networks and Learning Systems, 2022.

• Dou Quan, Shuang Wang, Yu Gu, Ruiqi Lei, Bowu Yang, Shaowei Wei, Biao Hou, Licheng Jiao, Deep feature correlation learning for multi-modal remote sensing image registration, IEEE Transactions on Geoscience and Remote Sensing, 2022.

• Dou Quan, Huiyuan Wei, Shuang Wang, Ruiqi Lei, Baorui Duan, Yi Li, Biao Hou, Licheng Jiao, Self-Distillation Feature Learning Network for Optical and SAR Image Registration, IEEE Transactions on Geoscience and Remote Sensing, 2022.

• Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao, Unsupervised outlier detection using memory and contrastive learning, IEEE Transactions on Image Processing, 2022.

• Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao, AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning, IEEE Transactions on Neural Networks and Learning Systems, 2022.

• Dou Quan, Shuang Wang, Yi Li, Bowu Yang, Ning Huyan, Jocelyn Chanussot, Biao Hou, Licheng Jiao, Multi-relation Attention Network for Image Patch Matching, IEEE Transactions on Image Processing，2021.

• Dou Quan, Shuang Wang, Ning Huyan, Jocelyn Chanussot, Ruojing Wang, Xuefeng Liang, Biao Hou, Licheng Jiao, Element-wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching, IEEE Transactions on Neural Networks and Learning Systems, 2020.

• Shuang Wang, Dou Quan, Xuefeng Liang, Mengdan Ning, Yanhe Guo, Licheng Jiao, A deep learning framework for remote sensing image registration, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018.

• Dou Quan, Xuefeng Liang, Shuang Wang, ShaoweiWei, Yanfeng Li, Ning Huyan, Licheng Jiao, AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching, IEEE International Conference on Computer Vision (ICCV), 2019. (CCF-A类会议，口头报告)

• Huiyuan Wei, Dou Quan, Ruiqi Lei, Baorui Duan, Shuang Wang, Yi Li, Biao Hou, Licheng Jiao, Deep Modality Independent Descriptor Learning for Optical and SAR Image Patch Matching, IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2022.

• Baorui Duan, Dou Quan, Yi Li, Ruiqi Lei, Shuang Wang, Biao Hou, Licheng Jiao, A feature decomposition framework for multi-modal image patch matching, IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2021.

• Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao, Better and Faster: Exponential Loss for Image Patch Matching, IEEE International Conference on Computer Vision (ICCV), 2019.

• Shuai Fang, Dou Quan, Shuang Wang, Lei Zhang, Ligang Zhou, A Two-branch Network With Semi-Supervised Learning for Hyper-spectral Classification, IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2018.

• Dou Quan, Shuai Fang, Xufeng Liang, Shuang Wang, Licheng Jiao, Cross-spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shared Space, Asian Conference on Computer Vision (ACCV), 2018.

• Dou Quan, Shuang Wang, Xuefeng Liang, Ruojing Wang, Shuai Fang, Biao Hou, Licheng Jiao, Deep Generative Matching Network for Optical and SAR Image Registration, IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2018.

• Dou Quan, Shuang Wang, Mengdan Ning, Tao Xiong, Licheng Jiao, Using Deep Neural Networks for Synthetic Aperture Radar Image Registration, IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2016.