中国矿业大学博士 2022.08-2026.06

地理大数据、地理位置智能

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1.主持中国矿业大学研究生创新计划项目“地理大数据支持下的中国滑坡清单优化构建”（已结题）

2.参与山东省地矿局“十四五”期间科技攻关项目“地质灾害智能识别模型构建”

3.参与应急管理部国家减灾中心横向项目“面向京津冀重点区域的安全生产要素监测技术研发”

1.2023年中国地理信息产业协会地理信息科技进步二等奖（排名第二）

2.2024年中国地理信息产业协会地理信息科技进步二等奖（排名第七）

3.研究生国家奖学金（2025年）

4.国家留学基金委“公派留学奖学金”

5.中国矿业大学“优秀学生”、“优秀毕业生”

6.中国矿业大学环境与测绘学院“院长奖”

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1. Yin W,Deuser F, Liu Z, Wei J, Luo X, Werner M, Li H, Xue Y. Triple-objective cross-view geolocalization of disaster-related VGI: the case of Hurricane Ian.International Journal of Geographical Information Science, 2026, 40(1): 194-216. (中科院一区TOP)

2. Yin W,Liu Z, Mou N, Li W, Hong D, Li H. DisasterTD: Disaster toponym disambiguation using multimodal LLMs and cross-view geolocalization.IEEE Transactions on Geoscience and Remote Sensing, 2026, 64: 3002614. (中科院一区TOP)

3. Yin W,Xue Y, Liu Z, Li H, Werner M. LLM-enhanced disaster geolocalization using implicit geoinformation from multimodal data: A case study of Hurricane Harvey.International Journal of Applied Earth Observation and Geoinformation, 2025, 137: 104423. (中科院一区TOP)

4. Yin W,Liu Z, Zhang S, Harłukowicz RA, Ikram QD, Niu C, Xue Y. SensWorkflow: A high-performance framework for remote sensing data processing on heterogeneous clusters.Big Earth Data, 2026, 1-18. (中科院一区TOP)

5. Yin W,Fan H. Perception changes and the attribution of the impact of Lancang-Mekong hydropower dams in the media of riparian countries from 1971 to 2020.Journal of Hydrology: Regional Studies, 2023, 45: 101302.

6. Yin W,Deuser F, Jiang J, Liu Z, Luo X, Zheng Z, Werner M, Li H, Xue Y. SAGINGeo: A space-aerial-ground integrated framework for VGI geolocalization in multi-disaster scenarios.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, 1-17.

7. Yin W,Niu C, Bai Y, Zhang L, Ma D, Zhang S, Zhou X, Xue Y. An adaptive identification method for potential landslide hazards based on multisource data.Remote Sensing, 2023, 15(7): 1865-1881.

8. Yin W,Xue Y, Liu Z, Niu C, Wang P, Li P, Ikram QD. A review of ground subsidence observation using aerial, space, and ground-based methods.International Journal of Remote Sensing, 2025: 1-43.

9.尹文萍,高宸,樊辉,谢菲,张鑫.一种融合文本中地理位置和土地利用/覆被信息的野生动物活动细粒度定位方法.地球信息科学学报, 2022, 24(7): 1363-1374.

10.尹文萍,张鑫,谢菲,樊辉,陈飞.野象北移事件舆情演化及其影响机制.地球信息科学学报, 2023, 25 (4): 794-808.

尹文萍,樊辉,谢菲,张鑫.一种细粒度地理位置定位方法.云南省: CN202111049543.9, 2023-10-24.