Lianfa Li

20 papers A 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Geocomplexity Statistical Indicator to Enhance Multiclass Semantic Segmentation of Remotely Sensed Data with Less Sampling Bias.
Remote. Sens.
Wei He, Lianfa Li, Xilin Gao
2023 J jnl
Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation.
Remote. Sens.
Lianfa Li, Zhiping Zhu, Chengyi Wang
2023 J jnl
Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides.
CoRR
Lianfa Li, Roxana Khalili, Frederick W. Lurmann, Nathan R. 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
2021 J jnl
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation.
IEEE Trans. Neural Networks Learn. Syst.
Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang, Yong Ge
2021 J jnl
Geographic Graph Network for Robust Inversion of Particulate Matters.
Remote. Sens.
Lianfa Li
2021 J jnl
High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China.
Remote. Sens.
Lianfa Li
2020 J jnl
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5.
Remote. Sens.
Lianfa Li
2020 J jnl
Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation.
Remote. Sens.
Chengyi Wang, Lianfa Li
2020 J jnl
Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation.
Remote. Sens.
Lianfa Li
2019 J jnl
Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images.
Remote. Sens.
Lianfa Li
2019 J jnl
Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed.
Remote. Sens.
Lianfa Li
2018 J jnl
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation.
CoRR
Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang
2013 — conf
Bayesian Prediction of Fault-Proneness of Agile-Developed Object-Oriented System.
ICEIS
Lianfa Li, Hareton Leung
2013 J jnl
Design-based spatial sampling: Theory and implementation.
Environ. Model. Softw.
Jinfeng Wang, Cheng-Sheng Jiang, Mao-Gui Hu, Zhidong Cao, Yansha Guo, Lianfa Li, Tiejun Liu, Bin Meng
2013 — conf
Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network.
ICEIS (2)
Lianfa Li, Hareton Leung
2011 A conf
Mining Static Code Metrics for a Robust Prediction of Software Defect-Proneness.
ESEM
Lianfa Li, Hareton Leung
2010 J jnl
Using spatial analysis and Bayesian network to model the vulnerability and make insurance pricing of catastrophic risk.
Int. J. Geogr. Inf. Sci.
Lianfa Li, Jinfeng Wang, Hareton Leung
2009 J jnl
Sampling and Kriging Spatial Means: Efficiency and Conditions.
Sensors
Jinfeng Wang, Lianfa Li, George Christakos
2009 — conf
Using the Number of Faults to Improve Fault-Proneness Prediction of the Probability Models.
CSIE (7)
Lianfa Li, Hareton Leung
2005 J jnl
Typhoon insurance pricing with spatial decision support tools.
Int. J. Geogr. Inf. Sci.
Lianfa Li, Jinfeng Wang, Chengyi Wang