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Huang, Faming, Yin, Kunlong, Huang, Jinsong, Gui, Lei, Wang, Peng. Elsevier; 2017. Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine.
Huang, Faming, Yin, Kunlong, Jiang, Shuihua, Huang, Jinsong, Cao, Zhongshan. Zhongguo Kexueyuan Wuhan Yantu Lixue Yanjiuso / Chinese Academy of Sciences, Institute of Rock and Soil Mechanics; 2018. Landslide susceptibility assessment based on clustering analysis and support vector machine.
Huang, Faming, Huang, Jinsong, Jiang, Shuihua, Zhou, Chuangbing. Elsevier; 2017. Landslide displacement prediction based on multivariate chaotic model and extreme learning machine.
Huang, Faming, Chen, Jiawu, Tang, Zhipeng, Fan, Xuanmei, Huang, Jinsong, Zhou, Chuangbing, Chang, Zhilu. Zhongguo Kexueyuan Wuhan Yantu Lixue Yanjiuso; 2021. Uncertainties of landslide susceptibility prediction due to different spatial resolutions and different proportions of training and testing datasets.
Huang, Faming, Pan, Lilan, Fan, Xuanmei, Jiang, Shui-Hua, Huang, Jinsong, Zhou, Chuangbing. Springer; 2022. The uncertainty of landslide susceptibility prediction modeling: suitability of linear conditioning factors.
Huang, Faming, Zhang, Jing, Zhou, Chuangbing, Wang, Yuhao, Huang, Jinsong, Zhu, Li. Springer; 2020. A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction.
Huang, Faming, Cao, Yu, Fan, Xuanmei, Li, Wenbin, Huang, Jinsong, Zhou, Chuangbing, Fan, Wenyan. Zhongguo Kexueyuan Wuhan Yantu Lixue Yanjiuso,Chinese Academy of Sciences, Institute of Rock and Soil Mechanics; 2021. Effects of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction.
Huang, Faming, Yan, Jun, Fan, Xuanmei, Yao, Chi, Huang, Jinsong, Chen, Wei, Hong, Haoyuan. China University of Geosciences; 2022. Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions.
Chang, Zhilu, Catani, Filippo, Huang, Faming, Liu, Gengzhe, Meena, Sansar Raj, Huang, Jinsong, Zhou, Chuangbing. Kexue Chubanshe,Science Press; 2022. Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors.
Huang, Faming, Huang, Jinsong, Jiang, Shui-Hua, Zhou, Chuangbing. IWA Publishing; 2017. Prediction of groundwater levels using evidence of chaos and support vector machine.
Huang, Faming, Chen, Jiawu, Liu, Weiping, Huang, Jinsong, Hong, Haoyuan, Chen, Wei. Elsevier; 2022. Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold.
Li, Wenbin, Fan, Xuanmei, Huang, Faming, Chen, Wei, Hong, Haoyuan, Huang, Jinsong, Guo, Zizheng. MDPI AG; 2020. Uncertainties analysis of collapse susceptibility prediction based on remote sensing and GIS: Influences of different data-based models and connections between collapses and environmental factors.
Li, Yuanyao, Huang, Jinsong, Jiang, Shui-Hua, Huang, Faming, Chang, Zhilu. Nature Publishing Group; 2017. A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide.
Huang, Faming, Ye, Zhou, Jiang, Shui-Hua, Huang, Jinsong, Chang, Zhilu, Chen, Jiawu. Elsevier; 2021. Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models.
Zhu, Li, Huang, Lianghao, Fan, Linyu, Huang, Jinsong, Huang, Faming, Chen, Jiawu, Zhang, Zihe, Wang, Yuhao. MDPI AG; 2020. Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of a cascade-parallel recurrent neural network.
Guo, Zizheng, Shi, Yu, Huang, Faming, Fan, Xuanmei, Huang, Jinsong. Zhongguo Dizhi Daxue / China University of Geosciences; 2021. Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management.
Jiang, Shui-Hua, Huang, Jinsong, Huang, Faming, Yang, Jianhua, Yao, Chi, Zhou, Chuang-Bing. Elsevier; 2018. Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis.
Chang, Zhilu, Gao, Huanxiang, Huang, Faming, Chen, Jiawu, Huang, Jinsong, Guo, Zizheng. Springer Netherlands; 2020. Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction.
Huang, Faming, Cao, Zhongshan, Jiang, Shui-Hua, Zhou, Chuangbing, Huang, Jinsong, Guo, Zizheng. Springer; 2020. Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model.
Huang, Faming, Tao, Siyu, Chang, Zhilu, Huang, Jinsong, Fan, Xuanmei, Jiang, Shui-Hua, Li, Wenbin. Springer; 2021. Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments.
Huang, Faming, Chen, Jiawu, Du, Zhen, Yao, Chi, Huang, Jinsong, Jiang, Qinghui, Chang, Zhilu, Li, Shu. MDPI AG; 2020. Landslide susceptibility prediction considering regional soil erosion based on machine-learning models.
Huang, Faming, Chen, Lixia, Yin, Kunlong, Huang, Jinsong, Gui, Lei. Springer; 2018. Object-oriented change detection and damage assessment using high-resolution remote sensing images, Tangjiao Landslide, Three Gorges Reservoir, China.
Chang, Zhilu, Huang, Faming, Huang, Jinsong, Jiang, Shui-Hua, Zhou, Chuangbing, Zhu, Li. Elsevier; 2021. Experimental study of the failure mode and mechanism of loess fill slopes induced by rainfall.
Huang, Faming, Yang, Jianbo, Zhang, Biao, Li, Yijing, Huang, Jinsong, Chen, Na. MDPI AG; 2020. Regional terrain complexity assessment based on principal component analysis and geographic information system: a case of Jiangxi Province, China.
Huang, Faming, Ye, Zhou, Yao, Chi, Li, Yuanyao, Yin, Kunlong, Huang, Jinsong, Jiang, Qinghui. Zhongguo Dizhi Daxue,China University of Geosciences; 2020. Uncertainties of Landslide Susceptibility Prediction: Different Attribute Interval Divisions of Environmental Factors and Different Data-Based Models.
Huang, Faming, Xiong, Haowen, Yao, Chi, Catani, Filippo, Zhou, Chuangbing, Huang, Jinsong. Kexue Chubanshe,Science Press; 2023. Uncertainties of landslide susceptibility prediction considering different landslide types.
Chang, Zhilu, Huang, Jinsong, Huang, Faming, Bhuyan, Kushanav, Meena, Sansar Raj, Catani, Filippo. Elsevier; 2023. Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models.
Huang, Faming, Tang, Chenhui, Jiang, Shui-Hua, Liu, Weiping, Chen, Na, Huang, Jinsong. Springer; 2022. Influence of heavy rainfall and different slope cutting conditions on stability changes in red clay slopes: a case study in South China.
Huang, Faming, Tao, Siyu, Li, Deying, Lian, Zhipeng, Catani, Filippo, Huang, Jinsong, Li, Kailong, Zhang, Chuhong. MDPI AG; 2022. Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies.
Huang, Faming, Chen, Jiawu, Fan, Xuanmei, Huang, Jinsong, Zhou, Chuangbing. Zhongguo Dizhi Daxue,China University of Geosciences; 2022. Logistic Regression Fitting of Rainfall-Induced Landslide Occurrence Probability and Continuous Landslide Hazard Prediction Modelling.
Chang, Zhilu, Huang, Faming, Huang, Jinsong, Jiang, Shui-Hua, Liu, Yuting, Meena, Sansar Raj, Catani, Filippo. Zhongguo Dizhi Daxue,China University of Geosciences; 2023. An updating of landslide susceptibility prediction from the perspective of space and time.
Huang, Faming, Xiong, Haowen, Chen, Shixuan, Lv, Zhitao, Huang, Jinsong, Chang, Zhilu, Catani, Filippo. China Coal Society; 2023. Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models.
Chang, Zhilu, Huang, Faming, Jiang, Shuihua, Zhang, Yinlang, Zhou, Chuangbing, Huang, Jinsong. Editorial Department Advanced Engineering Sciences; 2023. Slope Unit Extraction and Landslide Susceptibility Prediction Using Multi-scale Segmentation Method.
Huang, Faming, Ye, Zhou, Zhou, Xiaoting, Huang, Jinsong, Zhou, Chuangbing. Springer; 2022. Landslide susceptibility prediction using an incremental learning Bayesian Network model considering the continuously updated landslide inventories.
Huang, Faming, Xiong, Haowen, Zhou, Xiaoting, Catani, Filippo, Huang, Jinsong. Springer; 2024. Modelling Uncertainties and Sensitivity Analysis of Landslide Susceptibility Prediction under Different Environmental Factor Connection Methods and Machine Learning Models.
Huang, Faming, Teng, Zuokui, Guo, Zizheng, Catani, Filippo, Huang, Jinsong. Elsevier; 2023. Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset.
Huang, Faming, Zeng, Shiyi, Yao, Chi, Xiong, Haowen, Fan, Xuanmei, Huang, Jinsong. Editorial Departmentof Advanced Engineering Sciences; 2024. Uncertainties of Landslide Susceptibility Prediction Modeling: Influence of Different Selection Methods of “Non-landslide Samples”.
Huang, Faming, Xiong, Haowen, Jiang, Shui-Hua, Yao, Chi, Fan, Xuanmei, Catani, Filippo, Chang, Zhilu, Zhou, Xiaoting, Huang, Jinsong, Liu, Keji. Elsevier; 2024. Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory.
Huang, Faming, Teng, Zuokui, Yao, Chi, Jiang, Shui-Hua, Catani, Filippo, Chen, Wei, Huang, Jinsong. Kexue Chubanshe; 2024. Uncertainties of landslide susceptibility prediction: Influences of random errors in landslide conditioning factors and errors reduction by low pass filter method.