Design of Universal Simulation Platform for Avionics. - Lianlei Lin; Shouda Jiang (ICICIC (2), 2006)

A Fast Training Algorithm for Least Squares SVM. - Shouda Jiang; Lianlei Lin; Chao Sun (IIH-MSP, 2007)

An Adaptive Online Recursive Learning Algorithm for Least Squares SVM Classifiers. - Lianlei Lin; Shouda Jiang (J. Digit. Inf. Manag., 2008)

A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images. - Li Li; Chao Sun; Lianlei Lin; Junbao Li; Shouda Jiang (Neurocomputing, 2016)

Hyperspectral Image Segmentation Method Based on Kernel Method. - Lianlei Lin; Jingwen Du (IIH-MSP (1), 2017)

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)

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)

Superpixel-based HSI Classification via Semisupervised K-SVD and Multi-scale Sparse Representation. - Lianlei Lin; Cailu Chen; Zhuxu Zhou; Shanshan Zhang (I2MTC, 2019)

Numerical approximation of incompressible Navier-Stokes equations based on an auxiliary energy variable. - Lianlei Lin; Zhiguo Yang; Suchuan Dong (J. Comput. Phys., 2019)

A family of second-order energy-stable schemes for Cahn-Hilliard type equations. - Zhiguo Yang; Lianlei Lin; Suchuan Dong (J. Comput. Phys., 2019)

Spatial-spectral hyperspectral image classification based on information measurement and CNN. - Lianlei Lin; Cailu Chen; Tiejun Xu (EURASIP J. Wirel. Commun. Netw., 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)

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)

Deep generation network for multivariate spatio-temporal data based on separated attention. - Junkai Wang; Lianlei Lin; Sheng Gao; Zongwei Zhang (Inf. Sci., 2023)

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)

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)

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)

Spatio-temporal data generation based on separated attention for ENSO prediction. - Lianlei Lin; Junkai Wang; Aidi Tan; Jiawei Chen (Appl. Intell., 2024)

Local spatial self-attention based deep network for meteorological data downscaling. - Sheng Gao; Lianlei Lin; Zongwei Zhang; Junkai Wang; Hanqing Zhao; Hangyi Yu (Neurocomputing, 2025)

Adversarial decoupling domain generalization network for cross-scene hyperspectral image classification. - Hanqing Zhao; Lianlei Lin; Junkai Wang; Sheng Gao; Zongwei Zhang (Knowl. Based Syst., 2025)

DUSTFN: A dual-path U spatiotemporal fusion network for wind speed prediction. - Zongwei Zhang; Lianlei Lin; Shuangjian Wei; Sheng Gao; Junkai Wang; Hangyi Yu (Inf. Fusion, 2026)