Lianlei Lin

According to our database, Lianlei Lin authored at least 18 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Spatio-temporal data generation based on separated attention for ENSO prediction.

Lianlei Lin, Junkai Wang, Aidi Tan, Jiawei Chen

Appl. Intell., November, 2024

Spatiotemporal MultiWaveNet for Efficiently Generating Environmental Spatiotemporal Series.

Sheng Gao, Gong Meng, Lianlei Lin, Zongwei Zhang, Junkai Wang, Hanqing Zhao

IEEE Trans. Geosci. Remote. Sens., 2024

StHCFormer: A Multivariate Ocean Weather Predicting Method Based on Spatiotemporal Hybrid Convolutional Attention Networks.

Lianlei Lin, Zongwei Zhang, Hangyi Yu, Junkai Wang, Sheng Gao, Hanqing Zhao, Jiaqi Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

CSACL: A Channel Spatial Attention Convolutional LSTM Model for Short-Term Sea Surface Temperature Prediction.

Zongwei Zhang, Aidi Tan, Lianlei Lin, Junkai Wang, Sheng Gao, Hanqing Zhao

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Deep generation network for multivariate spatio-temporal data based on separated attention.

Junkai Wang, Lianlei Lin, Sheng Gao, Zongwei Zhang

Inf. Sci., July, 2023

Locally Linear Unbiased Randomization Network for Cross-Scene Hyperspectral Image Classification.

Hanqing Zhao, Jiawei Zhang, Lianlei Lin, Junkai Wang, Sheng Gao, Zongwei Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

2020

An energy-stable scheme for incompressible Navier-Stokes equations with periodically updated coefficient matrix.

Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong

J. Comput. Phys., 2020

Spatial-spectral hyperspectral image classification based on information measurement and CNN.

Lianlei Lin, Cailu Chen, Tiejun Xu

EURASIP J. Wirel. Commun. Netw., 2020

2019

A family of second-order energy-stable schemes for Cahn-Hilliard type equations.

Zhiguo Yang, Lianlei Lin, Suchuan Dong

J. Comput. Phys., 2019

Numerical approximation of incompressible Navier-Stokes equations based on an auxiliary energy variable.

Lianlei Lin, Zhiguo Yang, Suchuan Dong

J. Comput. Phys., 2019

Superpixel-based HSI Classification via Semisupervised K-SVD and Multi-scale Sparse Representation.

Lianlei Lin, Cailu Chen, Zhuxu Zhou, Shanshan Zhang

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018

A Mahalanobis metric learning-based polynomial kernel for classification of hyperspectral images.

Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang

Neural Comput. Appl., 2018

A dual-kernel spectral-spatial classification approach for hyperspectral images based on Mahalanobis distance metric learning.

Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang, Jingwei Yin

Inf. Sci., 2018

2017

Hyperspectral Image Segmentation Method Based on Kernel Method.

Lianlei Lin, Jingwen Du

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2016

A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images.

Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang

Neurocomputing, 2016

2008

An Adaptive Online Recursive Learning Algorithm for Least Squares SVM Classifiers.

Lianlei Lin, Shouda Jiang

J. Digit. Inf. Manag., 2008

2007

A Fast Training Algorithm for Least Squares SVM.

Shouda Jiang, Lianlei Lin, Chao Sun

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

2006

Design of Universal Simulation Platform for Avionics.

Lianlei Lin, Shouda Jiang

Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006