Typhoon insurance pricing with spatial decision support tools. - Lianfa Li; Jinfeng Wang 001; Chengyi Wang 001 (Int. J. Geogr. Inf. Sci., 2005)

Using the Number of Faults to Improve Fault-Proneness Prediction of the Probability Models. - Lianfa Li; Hareton Leung (CSIE (7), 2009)

Sampling and Kriging Spatial Means: Efficiency and Conditions. - Jinfeng Wang 001; Lianfa Li; George Christakos (Sensors, 2009)

Using spatial analysis and Bayesian network to model the vulnerability and make insurance pricing of catastrophic risk. - Lianfa Li; Jinfeng Wang 001; Hareton Leung (Int. J. Geogr. Inf. Sci., 2010)

Mining Static Code Metrics for a Robust Prediction of Software Defect-Proneness. - Lianfa Li; Hareton Leung (ESEM, 2011)

Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network. - Lianfa Li; Hareton Leung (ICEIS (2), 2013)

Bayesian Prediction of Fault-Proneness of Agile-Developed Object-Oriented System. - Lianfa Li; Hareton Leung (ICEIS, 2013)

Design-based spatial sampling: Theory and implementation. - Jinfeng Wang 001; Cheng-Sheng Jiang; Mao-Gui Hu; Zhidong Cao; Yansha Guo; Lianfa Li; Tiejun Liu; Bin Meng (Environ. Model. Softw., 2013)

Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation. - Lianfa Li; Ying Fang; Jun Wu; Jinfeng Wang (CoRR, 2018)

Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed. - Lianfa Li (Remote. Sens., 2019)

Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images. - Lianfa Li (Remote. Sens., 2019)

A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5. - Lianfa Li (Remote. Sens., 2020)

Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation. - Lianfa Li (Remote. Sens., 2020)

Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation. - Chengyi Wang; Lianfa Li (Remote. Sens., 2020)

High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China. - Lianfa Li (Remote. Sens., 2021)

Geographic Graph Network for Robust Inversion of Particulate Matters. - Lianfa Li (Remote. Sens., 2021)

Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation. - Lianfa Li; Ying Fang; Jun Wu; Jinfeng Wang 001; Yong Ge (IEEE Trans. Neural Networks Learn. Syst., 2021)

Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides. - 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; et al. (CoRR, 2023)

Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation. - Lianfa Li; Zhiping Zhu; Chengyi Wang (Remote. Sens., 2023)

Geocomplexity Statistical Indicator to Enhance Multiclass Semantic Segmentation of Remotely Sensed Data with Less Sampling Bias. - Wei He; Lianfa Li; Xilin Gao (Remote. Sens., 2024)