Shenjin Huang

Orcid: 0009-0000-9874-4267

According to our database1, Shenjin Huang authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SeCoMIL: Semantic Anchor-Based Context-Aware Multiple Instance Learning for Whole Slide Image Classification.
IEEE Trans. Circuits Syst. Video Technol., March, 2026

2025
PathAgent: Toward Interpretable Analysis of Whole-slide Pathology Images via Large Language Model-based Agentic Reasoning.
CoRR, November, 2025

Focus Your Attention: Multiple Instance Learning With Attention Modification for Whole Slide Pathological Image Classification.
IEEE Trans. Circuits Syst. Video Technol., June, 2025

AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes.
Medical Image Anal., 2025

2024
Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint.
CoRR, 2024

UAV multispectral remote sensing for the estimation of SPAD values at various growth stages of maize under different irrigation levels.
Comput. Electron. Agric., 2024

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Estimating and Mapping Soil Salinity in Multiple Vegetation Cover Periods by Using Unmanned Aerial Vehicle Remote Sensing.
Remote. Sens., September, 2023

Multi-Year Crop Type Mapping Using Sentinel-2 Imagery and Deep Semantic Segmentation Algorithm in the Hetao Irrigation District in China.
Remote. Sens., February, 2023

2022
Crop type mapping using time-series Sentinel-2 imagery and U-Net in early growth periods in the Hetao irrigation district in China.
Comput. Electron. Agric., 2022

2021
Improving the Spatial and Temporal Estimation of Maize Daytime Net Ecosystem Carbon Exchange Variation Based on Unmanned Aerial Vehicle Multispectral Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Distinguishing Planting Structures of Different Complexity from UAV Multispectral Images.
Sensors, 2021

Extraction of Sunflower Lodging Information Based on UAV Multi-Spectral Remote Sensing and Deep Learning.
Remote. Sens., 2021

Recognizing Zucchinis Intercropped with Sunflowers in UAV Visible Images Using an Improved Method Based on OCRNet.
Remote. Sens., 2021


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