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2020 – today
- 2024
[j14]Lianlei Lin
, Junkai Wang, Aidi Tan, Jiawei Chen:
Spatio-temporal data generation based on separated attention for ENSO prediction. Appl. Intell. 54(21): 10473-10489 (2024)- [j13]Zongwei Zhang, Aidi Tan, Lianlei Lin, Junkai Wang, Sheng Gao, Hanqing Zhao:
CSACL: A Channel Spatial Attention Convolutional LSTM Model for Short-Term Sea Surface Temperature Prediction. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j12]Lianlei Lin, Zongwei Zhang, Hangyi Yu, Junkai Wang, Sheng Gao, Hanqing Zhao, Jiaqi Zhang:
StHCFormer: A Multivariate Ocean Weather Predicting Method Based on Spatiotemporal Hybrid Convolutional Attention Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3600-3614 (2024) - [j11]Sheng Gao, Gong Meng, Lianlei Lin, Zongwei Zhang, Junkai Wang, Hanqing Zhao:
Spatiotemporal MultiWaveNet for Efficiently Generating Environmental Spatiotemporal Series. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - 2023
- [j10]Junkai Wang, Lianlei Lin, Sheng Gao, Zongwei Zhang:
Deep generation network for multivariate spatio-temporal data based on separated attention. Inf. Sci. 633: 85-103 (2023) - [j9]Hanqing Zhao, Jiawei Zhang, Lianlei Lin, Junkai Wang, Sheng Gao, Zongwei Zhang:
Locally Linear Unbiased Randomization Network for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - 2020
- [j8]Lianlei Lin, Cailu Chen, Tiejun Xu:
Spatial-spectral hyperspectral image classification based on information measurement and CNN. EURASIP J. Wirel. Commun. Netw. 2020(1): 59 (2020) - [j7]Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong:
An energy-stable scheme for incompressible Navier-Stokes equations with periodically updated coefficient matrix. J. Comput. Phys. 418: 109624 (2020)
2010 – 2019
- 2019
- [j6]Zhiguo Yang, Lianlei Lin, Suchuan Dong:
A family of second-order energy-stable schemes for Cahn-Hilliard type equations. J. Comput. Phys. 383: 24-54 (2019) - [j5]Lianlei Lin, Zhiguo Yang, Suchuan Dong:
Numerical approximation of incompressible Navier-Stokes equations based on an auxiliary energy variable. J. Comput. Phys. 388: 1-22 (2019) - [c4]Lianlei Lin, Cailu Chen, Zhuxu Zhou, Shanshan Zhang:
Superpixel-based HSI Classification via Semisupervised K-SVD and Multi-scale Sparse Representation. I2MTC 2019: 1-6 - [i1]Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong:
An Energy-Stable Scheme for Incompressible Navier-Stokes Equations with Periodically Updated Coefficient Matrix. CoRR abs/1909.08395 (2019) - 2018
- [j4]Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang, Jingwei Yin:
A dual-kernel spectral-spatial classification approach for hyperspectral images based on Mahalanobis distance metric learning. Inf. Sci. 429: 260-283 (2018) - [j3]Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang:
A Mahalanobis metric learning-based polynomial kernel for classification of hyperspectral images. Neural Comput. Appl. 29(4): 1103-1113 (2018) - 2017
- [c3]Lianlei Lin, Jingwen Du:
Hyperspectral Image Segmentation Method Based on Kernel Method. IIH-MSP (1) 2017: 433-439 - 2016
- [j2]Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang:
A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images. Neurocomputing 214: 430-444 (2016)
2000 – 2009
- 2008
- [j1]Lianlei Lin, Shouda Jiang:
An Adaptive Online Recursive Learning Algorithm for Least Squares SVM Classifiers. J. Digit. Inf. Manag. 6(2): 208-213 (2008) - 2007
- [c2]Shouda Jiang, Lianlei Lin, Chao Sun:
A Fast Training Algorithm for Least Squares SVM. IIH-MSP 2007: 586-592 - 2006
- [c1]Lianlei Lin, Shouda Jiang:
Design of Universal Simulation Platform for Avionics. ICICIC (2) 2006: 126-129
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