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Tao Lin
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Year
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
L Zhao, Y Song, C Zhang, Y Liu, P Wang, T Lin, M Deng, H Li
IEEE Transactions on Intelligent Transportation Systems, 2019
18952019
DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis
X Zhang, T Lin, J Xu, X Luo, Y Ying
Analytica Chimica Acta 1058, 48-57, 2019
2442019
Deep learning for vibrational spectral analysis: Recent progress and a practical guide
J Yang, J Xu, X Zhang, C Wu, T Lin, Y Ying
Analytica chimica acta 1081, 6-17, 2019
2082019
A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level
H Jiang, H Hu, R Zhong, J Xu, J Xu, J Huang, S Wang, Y Ying, T Lin
Global Change Biology, 2019
1512019
Agricultural robotics research applicable to poultry production: A review
G Ren, T Lin, Y Ying, G Chowdhary, KC Ting
Computers and Electronics in Agriculture 169, 105216, 2020
1392020
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
J Xu, Y Zhu, R Zhong, Z Lin, J Xu, H Jiang, J Huang, H Li, T Lin
Remote Sensing of Environment 247, 111946, 2020
1372020
Integrated strategic and tactical biomass–biofuel supply chain optimization
T Lin, LF Rodríguez, YN Shastri, AC Hansen, KC Ting
Bioresource technology 156, 256-266, 2014
1272014
Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil
JGG Jonker, HM Junginger, JA Verstegen, T Lin, LF Rodríguez, KC Ting, ...
Applied Energy 173, 494-510, 2016
942016
Towards interpreting multi-temporal deep learning models in crop mapping
J Xu, J Yang, X Xiong, H Li, J Huang, KC Ting, Y Ying, T Lin
Remote Sensing of Environment 264, 112599, 2021
912021
Food and agro-product quality evaluation based on spectroscopy and deep learning: A review
X Zhang, J Yang, T Lin, Y Ying
Trends in Food Science & Technology 112, 431-441, 2021
912021
GIS‐enabled biomass‐ethanol supply chain optimization: model development and Miscanthus application
T Lin, LF Rodríguez, YN Shastri, AC Hansen, KC Ting
Biofuels, Bioproducts and Biorefining 7 (3), 314-333, 2013
882013
Xcm: An explainable convolutional neural network for multivariate time series classification
K Fauvel, T Lin, V Masson, É Fromont, A Termier
Mathematics 9 (23), 3137, 2021
852021
Understanding the learning mechanism of convolutional neural networks in spectral analysis
X Zhang, J Xu, J Yang, L Chen, H Zhou, X Liu, H Li, T Lin, Y Ying
Analytica Chimica Acta 1119, 41-51, 2020
832020
A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization
H Hu, T Lin, S Wang, LF Rodriguez
Applied energy 203, 26-40, 2017
772017
Biomass feedstock preprocessing and long‐distance transportation logistics
T Lin, LF Rodríguez, S Davis, M Khanna, Y Shastri, T Grift, S Long, ...
Gcb Bioenergy 8 (1), 160-170, 2016
712016
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model
P Wei, D Chai, T Lin, C Tang, M Du, J Huang
ISPRS journal of photogrammetry and remote sensing 174, 198-214, 2021
652021
DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation
T Lin, R Zhong, Y Wang, J Xu, H Jiang, J Xu, Y Ying, L Rodriguez, ...
Environmental research letters 15 (3), 034016, 2020
532020
Integrated urban controlled environment agriculture systems
KC Ting, T Lin, PC Davidson
LED lighting for urban agriculture, 19-36, 2016
502016
Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern US
E Huang, X Zhang, L Rodriguez, M Khanna, S de Jong, KC Ting, Y Ying, ...
Renewable and Sustainable Energy Reviews 115, 109403, 2019
482019
CyberGIS-enabled decision support platform for biomass supply chain optimization
T Lin, S Wang, LF Rodríguez, H Hu, Y Liu
Environmental Modelling & Software 70, 138-148, 2015
462015
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Articles 1–20