博士后
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荆纬 博士后
 

个人简介

荆纬

荆纬:博士后

研究方向:计算机视觉、遥感图像解译

联系地址:中国陕西省西安市友谊西路127号伟德国际1949始于英国

邮政编码:710072

电子邮箱:wei_adam@mail.nwpu.edu.cn

 

教育背景

2022.09–2026.06伟德国际1949始于英国网络空间安全工学博士
2019.09–2022.06山东科技大学计算机科学与技术工学硕士
2015.09–2019.06山东科技大学电子商务工学学士
 

工作经历

2026.08–至今伟德国际1949始于英国博士后
 

代表工作

  1. W. Jing, Q. Li, and Q. Wang, “Heterogeneous Change Detection via Frequency Domain Interaction and Statistical Style Embedding,” Pattern Recognition (PR), vol. 180, Part D, Art. no. 114393, 2026. [BibTeX]

  2. W. Jing, T. Yan, W. Ni, J. Wu, and Q. Wang, “GOLD: Guided Online Learning for Distillation in Heterogeneous Remote Sensing Image Change Detection,” IEEE Transactions on Multimedia, 2026. [BibTeX]

  3. 荆纬,燕庭轩,靳翔泷,宋彬彬,王琦, “感语义变化检测的时空变化协同感知方法,” 遥感学报, 2026. [BibTeX]

  4. W. Jing, B. Song, X. Jin, C. Bai, and Q. Wang, “Hybrid Difference-Guided Spatiotemporal Interaction with Bidirectional Modulation for Semantic Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS) (IF: 8.6), Under Review, 2026. [BibTeX]

  5. W. Jing, K. Chi, Q. Li, and Q. Wang, “ChangeRD: A registration-integrated change detection framework for unaligned remote sensing images,” ISPRS Journal of Photogrammetry and Remote Sensing (IF: 12.2), vol. 220, pp. 64–74, 2025. [BibTeX]

  6. W. Jing, H. Bai, B. Song, W. Ni, J. Wu, and Q. Wang, “HeteCD: Feature Consistency Alignment and Difference Mining for Heterogeneous Remote Sensing Image Change Detection,” ISPRS Journal of Photogrammetry and Remote Sensing (IF: 12.2), vol. 223, pp. 317–327, 2025. [BibTeX]

  7. K. Chi, W. Jing, J. Li, Q. Li, and Q. Wang, “Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal,” IEEE Transactions on Multimedia (T-MM) (IF: 9.7), 2025. [BibTeX]

  8. T. Xia, W. Jing, and Q. Wang, “Adjacent Teacher: Semi-Supervised Oriented Object Detection Leveraging Adjacent Spatial Consistency Prior in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS) (IF: 8.6), vol. 63, pp. 1–13, Art. no. 5627413, 2025. [BibTeX]

  9. W. Jing, K. Chi, Q. Li, and Q. Wang, “3-D Neighborhood Cross-Differencing: A New Paradigm Serves Remote Sensing Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS) (IF: 8.6), vol. 62, pp. 1–11, Art. no. 5630511, 2024. [BibTeX]

  10. Q. Wang, W. Jing, K. Chi, and Y. Yuan, “Cross-Difference Semantic Consistency Network for Semantic Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS) (IF: 8.6), vol. 62, pp. 1–12, Art. no. 4406312, 2024. [BibTeX]

  11. K. Chi, J. Li, W. Jing, Q. Li, and Q. Wang, “Neural Implicit Fourier Transform for Remote Sensing Shadow Removal,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS) (IF: 8.6), vol. 62, pp. 1–10, Art. no. 5628110, 2024. [BibTeX]

  12. W. Jing, Y. Yuan, and Q. Wang, “Dual-field-of-view context aggregation and boundary perception for airport runway extraction,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS) (IF: 8.6), vol. 61, pp. 1–12, Art. no. 4702412, 2023. [BibTeX]

  13. B. Cui, H. Zhang, W. Jing, H. Liu, and J. Cui, “SRSe-Net: Super-Resolution-Based Semantic Segmentation Network for Green Tide Extraction,” Remote Sensing (IF: 4.1), vol. 14, no. 3, Art. no. 710, 2022. [BibTeX]

  14. W. Jing, B. Cui, Y. Lu, and L. Huang, “BS-Net: Using Joint-Learning Boundary and Segmentation Network for Coastline Extraction from Remote Sensing Images,” Remote Sensing Letters (IF: 1.5), vol. 12, no. 12, pp. 1260–1268, 2021. [BibTeX]

  15. B. Cui, W. Jing, R. Li, L. Huang, and Y. Lu, “SANet: A Sea-land Segmentation Network via Adaptive Multi-Scale Feature Learning,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IF: 5.3), vol. 14, pp. 116–126, 2021. [BibTeX]

 

学术活动

  • 期刊审稿人:IEEE T-CSVT、IEEE T-GRS、IEEE T-ITS、IEEE GRSL、IEEE JSTARS

  • 客座编辑:Remote Sensing