Zhenong Jin

According to our database1, Zhenong Jin authored at least 15 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740.
Remote. Sens., January, 2023

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR, 2023

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.
CoRR, 2023

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
From cropland to cropped field: A robust algorithm for national-scale mapping by fusing time series of Sentinel-1 and Sentinel-2.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Clustering augmented self-supervised learning: an application to land cover mapping.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021
Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery.
IEEE Trans. Geosci. Remote. Sens., 2021

Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco.
Remote. Sens., 2021

Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach.
CoRR, 2021

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping.
CoRR, 2021

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019
Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2017
Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa.
Remote. Sens., 2017


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