Hongjie Wu

ORCID: 0009-0007-3203-1521
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About
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Research Areas
  • Geological and Geochemical Analysis
  • Geochemistry and Elemental Analysis
  • Geochemistry and Geologic Mapping
  • High-pressure geophysics and materials
  • earthquake and tectonic studies
  • Advanced Algorithms and Applications
  • Advanced Sensor and Control Systems
  • Advanced Battery Technologies Research
  • Face and Expression Recognition
  • Geology and Paleoclimatology Research
  • Embedded Systems and FPGA Design
  • Paleontology and Stratigraphy of Fossils
  • Advanced Measurement and Detection Methods
  • Advanced Computing and Algorithms
  • Groundwater and Isotope Geochemistry
  • Welding Techniques and Residual Stresses
  • Sepsis Diagnosis and Treatment
  • Geochemistry and Geochronology of Asian Mineral Deposits
  • Image and Signal Denoising Methods
  • Preterm Birth and Chorioamnionitis
  • Non-Destructive Testing Techniques
  • Color Science and Applications
  • Text and Document Classification Technologies
  • Fault Detection and Control Systems
  • Advanced Clustering Algorithms Research

China University of Geosciences (Beijing)
2016-2025

Sichuan University
2021-2024

Chengdu University
2021-2024

University of Washington
2017

Earth and Space Research
2017

China University of Geosciences
2014

Zhuzhou Central Hospital
2012

Beihang University
2008-2010

Shanghai Jiao Tong University
2010

General Research Institute for Nonferrous Metals (China)
2009

We report high‐precision iron isotopic data for twenty‐two commercially available geological reference materials, including silicates, carbonatite, shale, carbonate and clay. Accuracy was checked by analyses of synthetic solutions with known Fe compositions but different matrices ranging from felsic to ultramafic igneous rocks, high Ca low limestone, samples enriched in transition group elements (e.g., Cu, Co Ni). Analyses over a 2‐year period these pure that were processed through the whole...

10.1111/j.1751-908x.2014.00304.x article EN Geostandards and Geoanalytical Research 2014-09-20

Abstract Earth’s habitability is closely tied to its late-stage accretion, during which impactors delivered the majority of life-essential volatiles. However, nature these final building blocks remains poorly constrained. Nickel (Ni) can be a useful tracer in characterizing this accretion as most Ni bulk silicate Earth (BSE) comes from impactors. Here, we apply stable isotope analysis large number meteorites and terrestrial rocks, find that BSE has lighter isotopic composition compared...

10.1038/s41467-020-20525-1 article EN cc-by Nature Communications 2021-01-12

San Carlos olivine geostandard developed by Gene Jarosewich and co-workers at the Smithsonian Institution, named NMNH 111312–44, was most widespread used in oxygen isotopic determination. However, 111312–44 grains have run out completely. Another set of olivine, whose are larger, 111312–42, distributed Institution. Whether they same composition is still unclear. This study analyzed compositions 111312–42 using a CAMECA IMS–1280 secondary ion mass spectrometer. The results show that (5.28 ±...

10.3390/app15052445 article EN cc-by Applied Sciences 2025-02-25

Graph-based methods have hitherto been used to pursue the coherent patterns of data due its ease implementation and efficiency. These increasingly applied in multi-view learning achieved promising performance various clustering tasks. However, despite their noticeable empirical success, existing graph-based may still suffer suboptimal solution considering that can be very complicated raw feature space. Moreover, usually adopt similarity metric by an ad hoc approach, which largely simplifies...

10.1609/aaai.v37i8.26188 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2023-06-26

The Keyue Sb–Pb–Zn–Ag deposit is a medium-sized near the super-large Zhaxikang within North Himalayan Metallogenic Belt (NHMB). These two deposits, separated only by regional NS-trending normal fault with strike-slip properties, have similar ore-forming elements and mineral associations, ore characteristics, paragenetic sequence, wall rocks, H–O–S–Pb isotopic fluid inclusion characteristics. Herein, we establish Zn–Cd connections between these proximal deposits. As means to draw comparisons,...

10.1016/j.oregeorev.2021.104594 article EN cc-by-nc-nd Ore Geology Reviews 2021-11-22

Surface defect detection plays a crucial role in industrial equipment to ensure safety. With the development of deep learning, series learning-based surface algorithms are proposed and achieved significant success. However, application real-world scenarios is restricted by computing power memory resource, resulting either deployment issues or performance degradation. In order balance consumption accuracy, we propose novel method named ST-CA YOLOv5 for detection. Based on YOLOv5, The Swin...

10.1109/ijcnn54540.2023.10191866 article EN 2022 International Joint Conference on Neural Networks (IJCNN) 2023-06-18

Abstract High-pressure (>15 kbar) melts of intermediate–felsic materials have been well studied by experiments, whereas their existence in nature, especially orogenic belts, is rarely examined. With the aim identifying and characterizing high-pressure partial continental crusts, this study presents comprehensive geochemical geochronological data for 47 Jurassic granites (166∼157 Ma) from Sulu orogen. These (SJG) consist quartz, K-feldspar plagioclase with minor mineral assemblages...

10.1093/petrology/egaa053 article EN cc-by-nc-nd Journal of Petrology 2020-05-01

10.1109/tkde.2024.3424511 article EN IEEE Transactions on Knowledge and Data Engineering 2024-07-08

Cataract is one of the most prevalent diseases among elderly. As population ages, incidence cataracts on rise. Early diagnosis and treatment are essential for cataracts. The routine early relies B-scan eye ultrasound images, developing deep learning-based automatic cataract detection makes great sense. However, images complex contain irrelevant backgrounds, lens takes up only a small part. Besides, networks commonly use label as supervision, which leads to low classification accuracy poor...

10.1109/ijcnn52387.2021.9533424 article EN 2022 International Joint Conference on Neural Networks (IJCNN) 2021-07-18
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