Tao Lin

Orcid: 0000-0001-9721-5363

Affiliations:
  • 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 20 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

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
Estimating Traffic Flow in Large Road Networks Based on Multi-Source Traffic Data.
IEEE Trans. Intell. Transp. Syst., 2021

Learning by Active Forgetting for Neural Networks.
CoRR, 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
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction.
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

Agricultural robotics research applicable to poultry production: A review.
Comput. Electron. Agric., 2020

2017
TieVis: visual analytics of evolution of interpersonal ties.
J. Vis., 2017

2016
Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow.
IEEE Trans. Intell. Transp. Syst., 2016

2015
CyberGIS-enabled decision support platform for biomass supply chain optimization.
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
CyberGIS for data-intensive knowledge discovery.
ACM SIGSPATIAL Special, 2014


  Loading...