Tao Lin
Orcid: 0000-0001-9721-5363Affiliations:
- Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- University of Illinois at Urbana-Champaign, National Center for Supercomputing Applications (NCSA), Urbana, IL, USA
- University of Illinois at Urbana-Champaign, Department of Agricultural and Biological Engineering, Urbana, IL, USA (PhD)
According to our database1,
Tao Lin
authored at least 22 papers
between 2014 and 2024.
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Bibliography
2024
Mobile robotics platform for strawberry sensing and harvesting within precision indoor farming systems.
J. Field Robotics, October, 2024
Integration of harvester trajectory and satellite imagery for large-scale winter wheat mapping using deep positive and unlabeled learning.
Comput. Electron. Agric., January, 2024
Deep Hierarchical Temporal Data Fusion Improves Yield Estimation under Extreme Climate Stress.
Proceedings of the IGARSS 2024, 2024
2022
Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.
IEEE Trans. Neural Networks Learn. Syst., 2022
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., 2022
Semantic Segmentation Based on Temporal Features: Learning of Temporal-Spatial Information From Time-Series SAR Images for Paddy Rice Mapping.
IEEE Trans. Geosci. Remote. Sens., 2022
Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels.
Remote. Sens., 2022
Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series.
Remote. Sens., 2022
An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments.
Comput. Electron. Agric., 2022
Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Classification and Mapping of Paddy Rice using Multi-temporal Landsat Data with a Deep Semantic Segmentation Model.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting.
CoRR, 2020
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images.
CoRR, 2020
Comput. Electron. Agric., 2020
2017
2016
IEEE Trans. Intell. Transp. Syst., 2016
2015
Environ. Model. Softw., 2015
CyberGIS-BioScope: a cyberinfrastructure-based spatial decision-making environment for biomass-to-biofuel supply chain optimization.
Concurr. Comput. Pract. Exp., 2015
2014