Xiumian Hu
researcher, ORCID id # 0000-0002-5401-8682
Facts
4 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Nanjing University (2009–present)[2]
- Educated at
- Chengdu University of Technology (1999–2002)[3]
🏷️ Also known as
en Xiumian Hu
🔖 Identifiers · 7
- ORCID iD
- 0000-0002-5401-8682
- VIAF cluster ID
- 103038330
- Library of Congress Authorities ID
- no2009182519
- Dimensions author ID
- 011347777717.33
- Scopus author ID
- 7404709350
- WorldCat Entities ID
- E39PBJyH3Y3cgW694mgPv9qhHC
- Yale LUX ID
- person/f112010e-403c-4a83-95ee-40ed207041da
🔗 Connections
Author of 8
A method for automatic grain segmentation of multi-angle cross-polarized microscopic images of sandstone,
A multi-task multi-class learning method for automatic identification of heavy minerals from river sand,
A transfer learning method for automatic identification of sandstone microscopic images,
Explainable deep learning for automatic rock classification,
Geoscience knowledge graph in the big data era,
Knowledge System, Ontology, and Knowledge Graph of the Deep-Time Digital Earth (DDE): Progress and Perspective,
Machine learning application to automatically classify heavy minerals in river sand by using SEM/EDS data,
Sediment grain segmentation in thin-section images using dual-modal Vision Transformer
← Authored by 8
A method for automatic grain segmentation of multi-angle cross-polarized microscopic images of sandstone,
A multi-task multi-class learning method for automatic identification of heavy minerals from river sand,
A transfer learning method for automatic identification of sandstone microscopic images,
Explainable deep learning for automatic rock classification,
Geoscience knowledge graph in the big data era,
Knowledge System, Ontology, and Knowledge Graph of the Deep-Time Digital Earth (DDE): Progress and Perspective,
Machine learning application to automatically classify heavy minerals in river sand by using SEM/EDS data,
Sediment grain segmentation in thin-section images using dual-modal Vision Transformer
Affiliated with 1
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