Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping. - Zhice Fang; Yi Wang 021; Ling Peng; Haoyuan Hong (Comput. Geosci., 2020)

Comparative study of landslide susceptibility mapping with different recurrent neural networks. - Yi Wang 021; Zhice Fang; Mao Wang; Ling Peng; Haoyuan Hong (Comput. Geosci., 2020)

Multiple Kernel-Based SVM Classification of Hyperspectral Images by Combining Spectral, Spatial, and Semantic Information. - Yi Wang 021; Wenke Yu; Zhice Fang (Remote. Sens., 2020)

Potential of Ensemble Learning to Improve Tree-Based Classifiers for Landslide Susceptibility Mapping. - Jiahui Song; Yi Wang 021; Zhice Fang; Ling Peng; Haoyuan Hong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping. - Zhice Fang; Yi Wang 021; Ling Peng; Haoyuan Hong (Int. J. Geogr. Inf. Sci., 2021)

Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China. - Zhice Fang; Yi Wang 021; Gonghao Duan; Ling Peng (Remote. Sens., 2021)

Landslide Susceptibility Prediction Based on Positive Unlabeled Learning Coupled With Adaptive Sampling. - Zhice Fang; Yi Wang 021; Ruiqing Niu; Ling Peng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Multi-Temporal Analysis of Environmental Carrying Capacity and Coastline Changes in Yueqing City. - Zitong Pan; Yi Wang 021; Zhice Fang (Remote. Sens., 2023)

Speech-recognition in landslide predictive modelling: A case for a next generation early warning system. - Zhice Fang; Hakan Tanyas; Tolga Görüm; Ashok Dahal; Yi Wang 021; Luigi Lombardo (Environ. Model. Softw., 2023)

An Integrated Framework of Positive-Unlabeled and Imbalanced Learning for Landslide Susceptibility Mapping. - Zijin Fu; Hao Ma; Fawu Wang; Jie Dou; Bo Zhang; Zhice Fang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Hyperspectral Image Classification Based on Multibranch Adaptive Feature Fusion Network. - Chen Li; Yi Wang 021; Zhice Fang; Penglei Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Landslide Detection From Multitemporal High-Resolution Images Based on Progressive Label Upgradation and Cross-Temporal Style Adaption. - Penglei Li; Yi Wang 021; Guanting Liu; Zhice Fang; Kashif Ullah (IEEE Trans. Geosci. Remote. Sens., 2024)

Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be. - Zhice Fang; Yi Wang 021; Cees J. van Westen; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Interferometric Synthetic Aperture Radar (InSAR)-Based Absence Sampling for Machine-Learning-Based Landslide Susceptibility Mapping: The Three Gorges Reservoir Area, China. - Ruiqi Zhang; Lele Zhang; Zhice Fang; Takashi Oguchi; Abdelaziz Merghadi; Zijin Fu; Aonan Dong; Jie Dou (Remote. Sens., 2024)

Assessing the impact of precipitation variability on landslide hazards in urbanized regions. - Baoyu Du; Yi Wang 021; Zhice Fang; Guanting Liu; Zhengshan Tian; Kashif Ullah; Mengmeng Cao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Long and short-term perspectives on space-time landslide modelling. - Tengfei Wang; Kunlong Yin; Zheng Wang; Zhice Fang; Ashok Dahal; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2025)

LMHLD: A Large-scale Multi-source High-resolution Landslide Dataset for Landslide Detection based on Deep Learning. - Guanting Liu; Yi Wang; Xi Chen; Baoyu Du; Penglei Li; Yuan Wu; Zhice Fang (CoRR, 2025)