王廷宇

        杭州电子科技大学通信工程学院助理研究员，硕士生导师，中国人工智能学会和图像图形学学会会员，杭电“科研之星”团队成员。师从国家级高层次人才颜成钢教授，获工学博士学位。曾赴澳大利亚悉尼科技大学博士联合培养，师从IEEE Fellow 杨易教授。

        研究方向为低空场景视觉信息获取与处理，交叉视角地理定位，深度学习等，近五年在领域顶级期刊级国际顶级会议发表高水平学术论文20余篇，入选ESI高被引论文1篇。主持国家自然科学基金青年科学基金项目（C类）1项，浙江省自然科学基金青年项目1项。相关研究成果获吴文俊人工智能科技进步奖一等奖。

        担任2023、2024、2025、2026四届CCFA类会议ACMMM Workshop PC MEMBER，长期担任多个国内外顶级期刊（IEEETIP、IEEE TCSVT、IEEE TGRS、PR、ISPRS P&RS）与CCFA类会议的审稿人。

主要代表作：

[1] Wa ng T, Zheng Z, Yan C, et al. Each part matters: Local patterns facilitate cross-view geo-localization[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(2): 867-879. SCI 1区Top ESI高被引

[2] Wang T, Zheng Z, Sun Y, et al. Multiple-environment Self-adaptive Network for Aerial-view Geo-localization[J]. Pattern Recognition, 2024: 110363. SCI 1区Top

[3] Wang T, Zheng Z, Zhu Z, et al. Learning cross-view geo-localization embeddings via dynamic weighted decorrelation regularization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 64: 5647112. SCI 1区Top

[4] Wang T, Lu J, Wan B, et al. Feature boosting and scale-aware network with multi-modal information for underwater salient object detection[J]. Engineering Applications of Artificial Intelligence, 2026, 174: 114489. 

SCI 1区Top

[5] Wang T, Yang Z, Chen Q, et al. Rethinking Pooling for Multi-Granularity Features in Aerial-View Geo-Localization[J]. IEEE Signal Processing Letters, 2024, 31: 3005-3009. SCI 2区

[6] Quan C, Wang T*, Yang Z, et al. SDPL: Shifting-Dense Partition Learning for UAV-View Geo-Localization[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(11): 11810-11824. SCI 1区Top

[7] Li H, Wang T*, Chen Q, et al. Aerial-view geo-localization based on multi-layer local pattern cross-attention network[J]. Applied Intelligence, 2024, 54(21): 11034-11053. SCI 2区

[8] Zhao Q, Zhou J, Wang T*, et al. P2FCN: Environment-Independent UAV-View Geo-Localization via Pixel-to-Feature Co-Enhancement[J].  IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 1-12. SCI 1区Top

[9] Chu M, Zheng Z, Ji W, Wang T, et al. Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatially Relation Matching[C]. ECCV 2024

代表授权专利：

[1] 一种基于多示例学习的IRES序列搜寻方法, 2021-04-06, 中国, ZL201910548286.X

[2] 一种旋转不变的语义信息挖掘方法, 2022-04-01, 中国, ZL202011040727.4

[3] 一种基于图像语义分割的损失函数及其设计方法, 2023-04-18, 中国, ZL201911066221.8