Lianlei Lin - RankMe

27 papers Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel framework for stepless wind speed prediction via latent linear continuum flow and spatiotemporal information fusion. Neurocomputing Sheng Gao, Zongwei Zhang, Hangyi Yu, Lianlei Lin, Junkai Wang, Hanqing Zhao
2026	J	`jnl`	Asymmetric disentanglement for domain generalization in hyperspectral image classification. Neurocomputing Hanqing Zhao, Hangyi Yu, Lianlei Lin, Zongwei Zhang, Sheng Gao, Junkai Wang
2026	J	`jnl`	DUSTFN: A dual-path U spatiotemporal fusion network for wind speed prediction. Inf. Fusion Zongwei Zhang, Lianlei Lin, Shuangjian Wei, Sheng Gao, Junkai Wang, Hangyi Yu
2026	J	`jnl`	Physics-Informed spatiotemporal deep learning for multivariate atmospheric forecasting. Expert Syst. Appl. Hangyi Yu, Lianlei Lin, Zongwei Zhang, Sheng Gao, Junkai Wang, Hanqing Zhao
2026	J	`jnl`	Unbiased representation learning via feature decoupling network for cross-scene hyperspectral image classification. Expert Syst. Appl. Hanqing Zhao, Lianlei Lin, Zongwei Zhang, Sheng Gao, Junkai Wang
2025	J	`jnl`	Adversarial decoupling domain generalization network for cross-scene hyperspectral image classification. Knowl. Based Syst. Hanqing Zhao, Lianlei Lin, Junkai Wang, Sheng Gao, Zongwei Zhang
2025	J	`jnl`	Local spatial self-attention based deep network for meteorological data downscaling. Neurocomputing Sheng Gao, Lianlei Lin, Zongwei Zhang, Junkai Wang, Hanqing Zhao, Hangyi Yu
2025	J	`jnl`	Toward accurate and efficient weather prediction using a dual-gated spatiotemporal attention network. Eng. Appl. Artif. Intell. Zongwei Zhang, Lianlei Lin, Sheng Gao, Junkai Wang, Hanqing Zhao
2024	J	`jnl`	CSACL: A Channel Spatial Attention Convolutional LSTM Model for Short-Term Sea Surface Temperature Prediction. IEEE Geosci. Remote. Sens. Lett. Zongwei Zhang, Aidi Tan, Lianlei Lin, Junkai Wang, Sheng Gao, Hanqing Zhao
2024	J	`jnl`	Spatio-temporal data generation based on separated attention for ENSO prediction. Appl. Intell. Lianlei Lin, Junkai Wang, Aidi Tan, Jiawei Chen
2024	J	`jnl`	Spatiotemporal MultiWaveNet for Efficiently Generating Environmental Spatiotemporal Series. IEEE Trans. Geosci. Remote. Sens. Sheng Gao, Gong Meng, Lianlei Lin, Zongwei Zhang, Junkai Wang, Hanqing Zhao
2024	J	`jnl`	StHCFormer: A Multivariate Ocean Weather Predicting Method Based on Spatiotemporal Hybrid Convolutional Attention Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lianlei Lin, Zongwei Zhang, Hangyi Yu, Junkai Wang, Sheng Gao, Hanqing Zhao, Jiaqi Zhang
2023	J	`jnl`	Deep generation network for multivariate spatio-temporal data based on separated attention. Inf. Sci. Junkai Wang, Lianlei Lin, Sheng Gao, Zongwei Zhang
2023	J	`jnl`	Locally Linear Unbiased Randomization Network for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Hanqing Zhao, Jiawei Zhang, Lianlei Lin, Junkai Wang, Sheng Gao, Zongwei Zhang
2020	J	`jnl`	An energy-stable scheme for incompressible Navier-Stokes equations with periodically updated coefficient matrix. J. Comput. Phys. Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong
2020	J	`jnl`	Spatial-spectral hyperspectral image classification based on information measurement and CNN. EURASIP J. Wirel. Commun. Netw. Lianlei Lin, Cailu Chen, Tiejun Xu
2019	J	`jnl`	A family of second-order energy-stable schemes for Cahn-Hilliard type equations. J. Comput. Phys. Zhiguo Yang, Lianlei Lin, Suchuan Dong
2019	J	`jnl`	An Energy-Stable Scheme for Incompressible Navier-Stokes Equations with Periodically Updated Coefficient Matrix. CoRR Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong
2019	J	`jnl`	Numerical approximation of incompressible Navier-Stokes equations based on an auxiliary energy variable. J. Comput. Phys. Lianlei Lin, Zhiguo Yang, Suchuan Dong
2019	—	`conf`	Superpixel-based HSI Classification via Semisupervised K-SVD and Multi-scale Sparse Representation. I2MTC Lianlei Lin, Cailu Chen, Zhuxu Zhou, Shanshan Zhang
2018	J	`jnl`	A Mahalanobis metric learning-based polynomial kernel for classification of hyperspectral images. Neural Comput. Appl. Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang
2018	J	`jnl`	A dual-kernel spectral-spatial classification approach for hyperspectral images based on Mahalanobis distance metric learning. Inf. Sci. Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang, Jingwei Yin
2017	—	`conf`	Hyperspectral Image Segmentation Method Based on Kernel Method. IIH-MSP (1) Lianlei Lin, Jingwen Du
2016	J	`jnl`	A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images. Neurocomputing Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang
2008	J	`jnl`	An Adaptive Online Recursive Learning Algorithm for Least Squares SVM Classifiers. J. Digit. Inf. Manag. Lianlei Lin, Shouda Jiang
2007	—	`conf`	A Fast Training Algorithm for Least Squares SVM. IIH-MSP Shouda Jiang, Lianlei Lin, Chao Sun
2006	—	`conf`	Design of Universal Simulation Platform for Avionics. ICICIC (2) Lianlei Lin, Shouda Jiang