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2020 – today
- 2024
[j12]Weixing Xu
, Zhaocong Wu, Weihua Lin, Gang Xu:
Spatial Downscaling of NPP/VIIRS DNB Nighttime Light Data Based on Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16787-16798 (2024)- 2023
- [j11]Yan Guo, Zhuowu Li, Weihua Lin, Ji Zhou, Shixiang Feng, Luyu Zhang, Fujiang Liu:
Automatic lithology identification method based on efficient deep convolutional network. Earth Sci. Informatics 16(2): 1359-1372 (2023) - [j10]Yan Guo, Zhuowu Li, Weihua Lin, Ji Zhou, Shixiang Feng, Luyu Zhang, Fujiang Liu:
Correction to: Automatic lithology identification method based on efficient deep convolutional network. Earth Sci. Informatics 16(2): 1951 (2023) - 2022
- [j9]Yonghui Ling, Juan Liang, Weihua Lin:
On semilocal convergence analysis for two-step Newton method under generalized Lipschitz conditions in Banach spaces. Numer. Algorithms 90(2): 577-606 (2022) - [j8]Qiqi Zhu, Weihuan Deng, Zhuo Zheng, Yanfei Zhong, Qingfeng Guan, Weihua Lin, Liangpei Zhang, Deren Li:
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification. IEEE Trans. Cybern. 52(11): 11709-11723 (2022) - [j7]Qiqi Zhu, Yuwen Sun, Qingfeng Guan, Lizhe Wang, Weihua Lin:
A Weakly Pseudo-Supervised Decorrelated Subdomain Adaptation Framework for Cross-Domain Land-Use Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c6]Shanshan Lu, Fujiang Liu, Fushou Liu, Peng Li, Jiayu Tang, Weihua Lin, Yan Guo:
Spatio-Temporal Variability of Global Aerosol Optical Depth During 2000-2019. SpatialDI 2022: 162-174 - 2021
- [j6]Dan Jiang, Weihua Lin, Nagarajan Raghavan:
A Gaussian Mixture Model Clustering Ensemble Regressor for Semiconductor Manufacturing Final Test Yield Prediction. IEEE Access 9: 22253-22263 (2021) - [j5]Dan Jiang, Weihua Lin, Nagarajan Raghavan:
Semiconductor Manufacturing Final Test Yield Optimization and Wafer Acceptance Test Parameter Inverse Design Using Multi-Objective Optimization Algorithms. IEEE Access 9: 137655-137666 (2021) - [c5]Weihuan Deng, Qiqi Zhu, Xiongli Sun, Weihua Lin, Qingfeng Guan:
EML-GAN: Generative Adversarial Network-Based End-to-End Multi-Task Learning Architecture for Super-Resolution Reconstruction and Scene Classification of Low-Resolution Remote Sensing Imagery. IGARSS 2021: 5397-5400 - [i1]Qiqi Zhu, Weihuan Deng, Zhuo Zheng, Yanfei Zhong, Qingfeng Guan, Weihua Lin, Liangpei Zhang, Deren Li:
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification. CoRR abs/2105.14327 (2021) - 2020
- [j4]Dan Jiang, Weihua Lin, Nagarajan Raghavan:
A Novel Framework for Semiconductor Manufacturing Final Test Yield Classification Using Machine Learning Techniques. IEEE Access 8: 197885-197895 (2020)
2010 – 2019
- 2019
- [j3]Shanshan Li, Fujiang Liu, Weihua Lin:
一种基于多起点、多终点的大型火灾救援路径规划方法 (Path Planning Method of Large-scale Fire Based on Multiple Starting Points and Multiple Rescue Points). 计算机科学 46(11A): 134-137 (2019) - 2017
- [j2]Jiangcai Wang, Weihua Lin, En Cao, Xuefeng Xu, Wenjie Liang, Xiaofang Zhang:
Surface Plasmon Resonance Sensors on Raman and Fluorescence Spectroscopy. Sensors 17(12): 2719 (2017) - 2015
- [j1]Weihua Lin, Xiaojun Tan, Fuqiang Liu, Yan Yu, Weiming Wang:
A new directional query method for polygon dataset in spatial database. Earth Sci. Informatics 8(4): 775-786 (2015)
2000 – 2009
- 2008
- [c4]Weihua Lin, Yonggang Wu, Xiaojun Tan, Yan Yu:
An Improvement of Index Method and Structure Based on R-Tree. CSSE (4) 2008: 607-610 - 2007
- [c3]Weihua Lin, Yonggang Wu, Dianhui Mao:
Region Assessment of Soil Erosion Based on Naive Bayes. CIS 2007: 6-9 - [c2]Dianhui Mao, Zhiyuan Zeng, Cheng Wang, Weihua Lin:
Regional Assessment of Soil Erosion Based on the Multivariate Membership Model. FSKD (1) 2007: 208-212 - [c1]Dianhui Mao, Zhiyuan Zeng, Cheng Wang, Weihua Lin:
Support Vector Machines with PSO Algorithm for Soil Erosion Evaluation and Prediction. ICNC (1) 2007: 656-660
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