Lianfa Li

According to our database, Lianfa Li authored at least 19 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation.

Lianfa Li, Zhiping Zhu, Chengyi Wang

Remote. Sens., April, 2023

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, Shohreh F. Farzan, Carrie Breton, Rima Habre

CoRR, 2023

2021

Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation.

Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang, Yong Ge

IEEE Trans. Neural Networks Learn. Syst., 2021

Geographic Graph Network for Robust Inversion of Particulate Matters.

Lianfa Li

Remote. Sens., 2021

High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China.

Lianfa Li

Remote. Sens., 2021

2020

Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation.

Chengyi Wang, 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

A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5.

Lianfa Li

Remote. Sens., 2020

2019

Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images.

Lianfa Li

Remote. Sens., 2019

Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed.

Lianfa Li

Remote. Sens., 2019

2018

Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation.

Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang

CoRR, 2018

2013

Design-based spatial sampling: Theory and implementation.

Jinfeng Wang, Cheng-Sheng Jiang, Mao-Gui Hu, Zhidong Cao, Yansha Guo, Lianfa Li, Tiejun Liu, Bin Meng

Environ. Model. Softw., 2013

Bayesian Prediction of Fault-Proneness of Agile-Developed Object-Oriented System.

Lianfa Li, Hareton Leung

Proceedings of the Enterprise Information Systems - 15th International Conference, 2013

Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network.

Lianfa Li, Hareton Leung

Proceedings of the ICEIS 2013, 2013

2011

Mining Static Code Metrics for a Robust Prediction of Software Defect-Proneness.

Lianfa Li, Hareton Leung

Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement, 2011

2010

Using spatial analysis and Bayesian network to model the vulnerability and make insurance pricing of catastrophic risk.

Lianfa Li, Jinfeng Wang, Hareton Leung

Int. J. Geogr. Inf. Sci., 2010

2009

Sampling and Kriging Spatial Means: Efficiency and Conditions.

Jinfeng Wang, Lianfa Li, George Christakos

Sensors, 2009

Using the Number of Faults to Improve Fault-Proneness Prediction of the Probability Models.

Lianfa Li, Hareton Leung

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2005

Typhoon insurance pricing with spatial decision support tools.

Lianfa Li, Jinfeng Wang, Chengyi Wang

Int. J. Geogr. Inf. Sci., 2005