MILL: Channel Attention-based Deep Multiple Instance Learning for Landslide Recognition. - Xiaochuan Tang; Mingzhe Liu 001; Hao Zhong; Yuanzhen Ju; Weile Li; Qiang Xu 004 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Loess Landslide Detection Using Object Detection Algorithms in Northwest China. - Yuanzhen Ju; Qiang Xu 004; Shichao Jin; Weile Li; Yanjun Su; Xiujun Dong; Qinghua Guo 002 (Remote. Sens., 2022)

An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery - A Case of Potential Loess Landslide. - Guangle Yao; Wenlong Zhou; Mingzhe Liu; Qiang Xu; Honghui Wang; Jun Li; Yuanzhen Ju (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Automatic Detection of Forested Landslides: A Case Study in Jiuzhaigou County, China. - Dongfen Li; Xiaochuan Tang; Zihan Tu; Chengyong Fang; Yuanzhen Ju (Remote. Sens., 2023)

Automatic Method for Detecting Deformation Cracks in Landslides Based on Multidimensional Information Fusion. - Bo Deng; Qiang Xu 004; Xiujun Dong; Weile Li; Mingtang Wu; Yuanzhen Ju; Qiulin He (Remote. Sens., 2024)