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2020 – today
- 2024
[j14]Wei He
, Lianfa Li, Xilin Gao:
Geocomplexity Statistical Indicator to Enhance Multiclass Semantic Segmentation of Remotely Sensed Data with Less Sampling Bias. Remote. Sens. 16(11): 1987 (2024)- 2023
- [j13]Lianfa Li, Zhiping Zhu, Chengyi Wang:
Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation. Remote. Sens. 15(8): 2192 (2023) - [i2]Lianfa Li, Roxana Khalili, Frederick W. Lurmann, Nathan Pavlovic, Jun Wu, Yan Xu, Yisi Liu, Karl O'Sharkey, Beate Ritz, Luke Oman, Meredith Franklin, Theresa Bastain, Shohreh F. Farzan, Carrie Breton, Rima Habre:
Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides. CoRR abs/2308.07441 (2023) - 2021
- [j12]Lianfa Li:
High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China. Remote. Sens. 13(12): 2324 (2021) - [j11]Lianfa Li:
Geographic Graph Network for Robust Inversion of Particulate Matters. Remote. Sens. 13(21): 4341 (2021) - [j10]Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang, Yong Ge:
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4217-4230 (2021) - 2020
- [j9]Lianfa Li:
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5. Remote. Sens. 12(2): 264 (2020) - [j8]Lianfa Li:
Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation. Remote. Sens. 12(3): 492 (2020) - [j7]Chengyi Wang, Lianfa Li:
Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation. Remote. Sens. 12(18): 2932 (2020)
2010 – 2019
- 2019
- [j6]Lianfa Li:
Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed. Remote. Sens. 11(11): 1378 (2019) - [j5]Lianfa Li:
Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images. Remote. Sens. 11(18): 2142 (2019) - 2018
- [i1]Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang:
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation. CoRR abs/1812.11262 (2018) - 2013
- [j4]Jinfeng Wang, Cheng-Sheng Jiang, Mao-Gui Hu, Zhidong Cao, Yansha Guo, Lianfa Li, Tiejun Liu, Bin Meng:
Design-based spatial sampling: Theory and implementation. Environ. Model. Softw. 40: 280-288 (2013) - [c4]Lianfa Li, Hareton Leung:
Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network. ICEIS (2) 2013: 5-16 - [c3]Lianfa Li, Hareton Leung:
Bayesian Prediction of Fault-Proneness of Agile-Developed Object-Oriented System. ICEIS 2013: 209-225 - 2011
- [c2]Lianfa Li, Hareton Leung:
Mining Static Code Metrics for a Robust Prediction of Software Defect-Proneness. ESEM 2011: 207-214 - 2010
- [j3]Lianfa Li, Jinfeng Wang, Hareton Leung:
Using spatial analysis and Bayesian network to model the vulnerability and make insurance pricing of catastrophic risk. Int. J. Geogr. Inf. Sci. 24(12): 1759-1784 (2010)
2000 – 2009
- 2009
- [j2]Jinfeng Wang, Lianfa Li, George Christakos:
Sampling and Kriging Spatial Means: Efficiency and Conditions. Sensors 9(7): 5224-5240 (2009) - [c1]Lianfa Li, Hareton Leung:
Using the Number of Faults to Improve Fault-Proneness Prediction of the Probability Models. CSIE (7) 2009: 722-726 - 2005
- [j1]Lianfa Li, Jinfeng Wang, Chengyi Wang:
Typhoon insurance pricing with spatial decision support tools. Int. J. Geogr. Inf. Sci. 19(3): 363-384 (2005)
Coauthor Index
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