Routine Based Analysis for User Classification and Location Prediction. - Yibing Xiong; Huiping Lin (UIC/ATC, 2012)

A Web Service Recommendation Approach Based on Situation Awareness. - Chenguang Liu; Huiping Lin; Yibing Xiong (IEEE SCC, 2013)

Comparison of different market making strategies for high frequency traders. - Yibing Xiong; Takashi Yamada; Takao Terano (WSC, 2015)

Landslide Susceptibility Mapping Using Ant Colony Optimization Strategy and Deep Belief Network in Jiuzhaigou Region. - Yibing Xiong; Yi Zhou 001; Futao Wang; Shixin Wang 001; Jingming Wang; Jianwan Ji; Zhenqing Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

FWENet: a deep convolutional neural network for flood water body extraction based on SAR images. - Jingming Wang; Shixin Wang 001; Futao Wang; Yi Zhou 001; Zhenqing Wang; Jianwan Ji; Yibing Xiong; Qing Zhao (Int. J. Digit. Earth, 2022)

Spatiotemporal and Multiscale Analysis of the Coupling Coordination Degree between Economic Development Equality and Eco-Environmental Quality in China from 2001 to 2020. - Jianwan Ji; Zhanzhong Tang; Weiwei Zhang; Wenliang Liu 002; Biao Jin; Xu Xi; Futao Wang; Rui Zhang; Bing Guo; Zhiyu Xu; Eshetu Shifaw; Yibing Xiong; et al. (Remote. Sens., 2022)

A Novel Intelligent Method Based on the Gaussian Heatmap Sampling Technique and Convolutional Neural Network for Landslide Susceptibility Mapping. - Yibing Xiong; Yi Zhou 001; Futao Wang; Shixin Wang 001; Zhenqing Wang; Jianwan Ji; Jingming Wang; Weijie Zou; Di You; Gang Qin (Remote. Sens., 2022)

EfficientUNet+: A Building Extraction Method for Emergency Shelters Based on Deep Learning. - Di You; Shixin Wang 001; Futao Wang; Yi Zhou 001; Zhenqing Wang; Jingming Wang; Yibing Xiong (Remote. Sens., 2022)

Monitoring and Analyzing the Effectiveness of the Effective Refuge Area of Emergency Shelters by Using Remote Sensing: A Case Study of Beijing's Fifth Ring Road. - Di You; Shixin Wang 001; Futao Wang; Yi Zhou 001; Zhenqing Wang; Yanchao Wang; Jingming Wang; Yibing Xiong; Jianwan Ji (Remote. Sens., 2023)