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Haifeng Li
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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 21 (9), 3848-3858, 2019
25652019
DASNet: Dual attentive fully convolutional Siamese networks for change detection in high-resolution satellite images
J Chen, Z Yuan, J Peng, L Chen, H Huang, J Zhu, Y Liu, H Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
5532020
Ensemble of differential evolution variants
G Wu, X Shen, H Li, H Chen, A Lin, PN Suganthan
Information Sciences 423, 172-186, 2018
3792018
The roles of different sources of social support on emotional well-being among Chinese elderly
H Li, Y Ji, T Chen
PloS one 9 (3), e90051, 2014
3012014
A3t-gcn: Attention temporal graph convolutional network for traffic forecasting
J Bai, J Zhu, Y Song, L Zhao, Z Hou, R Du, H Li
ISPRS International Journal of Geo-Information 10 (7), 485, 2021
2942021
SCAttNet: Semantic segmentation network with spatial and channel attention mechanism for high-resolution remote sensing images
H Li, K Qiu, L Chen, X Mei, L Hong, C Tao
IEEE Geoscience and Remote Sensing Letters 18 (5), 905-909, 2020
2492020
MAP-Net: Multiple attending path neural network for building footprint extraction from remote sensed imagery
Q Zhu, C Liao, H Hu, X Mei, H Li
IEEE Transactions on Geoscience and Remote Sensing 59 (7), 6169-6181, 2020
2222020
RSI-CB: A large-scale remote sensing image classification benchmark using crowdsourced data
H Li, X Dou, C Tao, Z Wu, J Chen, J Peng, M Deng, L Zhao
Sensors 20 (6), 1594, 2020
210*2020
Automatic pavement crack detection by multi-scale image fusion
H Li, D Song, Y Liu, B Li
IEEE Transactions on Intelligent Transportation Systems 20 (6), 2025-2036, 2018
2042018
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
1852020
AST-GCN: Attribute-augmented spatiotemporal graph convolutional network for traffic forecasting
J Zhu, Q Wang, C Tao, H Deng, L Zhao, H Li
Ieee Access 9, 35973-35983, 2021
1592021
Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations
H Chen, R Cheng, J Wen, H Li, J Weng
Information Sciences 509, 457-469, 2020
1532020
Global and local contrastive self-supervised learning for semantic segmentation of HR remote sensing images
H Li, Y Li, G Zhang, R Liu, H Huang, Q Zhu, C Tao
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022
1392022
Avoiding negative transfer for semantic segmentation of remote sensing images
H Wang, C Tao, J Qi, R Xiao, H Li
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
1302022
Remote sensing image scene classification with self-supervised paradigm under limited labeled samples
C Tao, J Qi, W Lu, H Wang, H Li
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
1252020
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
1212021
KST-GCN: A knowledge-driven spatial-temporal graph convolutional network for traffic forecasting
J Zhu, X Han, H Deng, C Tao, L Zhao, P Wang, T Lin, H Li
IEEE Transactions on Intelligent Transportation Systems 23 (9), 15055-15065, 2022
1202022
Learning to measure change: Fully convolutional siamese metric networks for scene change detection
E Guo, X Fu, J Zhu, M Deng, Y Liu, Q Zhu, H Li
arXiv preprint arXiv:1810.09111, 2018
1172018
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
H Li, Z Cui, Z Zhu, L Chen, J Zhu, H Huang, C Tao
arXiv preprint arXiv:2009.13364, 2020
1122020
Spatial information inference net: Road extraction using road-specific contextual information
C Tao, J Qi, Y Li, H Wang, H Li
ISPRS Journal of Photogrammetry and Remote Sensing 158, 155-166, 2019
1082019
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