Lianfa Li

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 12

Top Topics

Semantic Segmentation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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) (2024)
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 (2023)
Lianfa Li, Zhiping Zhu, Chengyi Wang
Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation. Remote. Sens. 15 (8) (2023)
Lianfa Li
Geographic Graph Network for Robust Inversion of Particulate Matters. Remote. Sens. 13 (21) (2021)
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) (2021)
Lianfa Li
High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China. Remote. Sens. 13 (12) (2021)
Lianfa Li
Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation. Remote. Sens. 12 (3) (2020)
Chengyi Wang, Lianfa Li
Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation. Remote. Sens. 12 (18) (2020)
Lianfa Li
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5. Remote. Sens. 12 (2) (2020)
Lianfa Li
Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images. Remote. Sens. 11 (18) (2019)
Lianfa Li
Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed. Remote. Sens. 11 (11) (2019)
Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation. CoRR (2018)
Lianfa Li, Hareton Leung
Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network. ICEIS (2) (2013)
Lianfa Li, Hareton Leung
Bayesian Prediction of Fault-Proneness of Agile-Developed Object-Oriented System. ICEIS (2013)
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 (2013)
Lianfa Li, Hareton Leung
Mining Static Code Metrics for a Robust Prediction of Software Defect-Proneness. ESEM (2011)
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) (2010)
Lianfa Li, Hareton Leung
Using the Number of Faults to Improve Fault-Proneness Prediction of the Probability Models. CSIE (7) (2009)
Jinfeng Wang, Lianfa Li, George Christakos
Sampling and Kriging Spatial Means: Efficiency and Conditions. Sensors 9 (7) (2009)
Lianfa Li, Jinfeng Wang, Chengyi Wang
Typhoon insurance pricing with spatial decision support tools. Int. J. Geogr. Inf. Sci. 19 (3) (2005)