Tracking long-term floodplain wetland changes: A case study in the China side of the Amur River Basin. - Mingming Jia; Dehua Mao; Zongming Wang; Chun-Ying Ren; Qiande Zhu; Xuechun Li; Yuanzhi Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews. - Xuechun Li; Xueyao Sun; Zewei Xu; Yifan Zhou (CoRR, 2021)

Tracking Historical Wetland Changes in the China Side of the Amur River Basin Based on Landsat Imagery and Training Samples Migration. - Qiande Zhu; Yining Wang; Jinxia Liu; Xuechun Li; Hairong Pan; Mingming Jia (Remote. Sens., 2021)

Black-box Prompt Learning for Pre-trained Language Models. - Shizhe Diao; Xuechun Li; Yong Lin; Zhichao Huang 002; Tong Zhang 001 (CoRR, 2022)

Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery. - Chenguang Wang 012; Yepeng Liu; Xiaojian Zhang; Xuechun Li; Vladimir Paramygin; Arthriya Subgranon; Y. Peter Sheng; Xilei Zhao; Susu Xu (EM-GIS, 2023)

DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. - Xuechun Li; Paula M. Bürgi; Wei Ma; Hae Young Noh; David Jay Wald; Susu Xu (KDD, 2023)

Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models. - Chenguang Wang 012; Davis Engler; Xuechun Li; James Hou; David Jay Wald; Kishor Jaiswal; Susu Xu (CoRR, 2023)

Black-Box Prompt Learning for Pre-trained Language Models. - Shizhe Diao; Zhichao Huang 002; Ruijia Xu; Xuechun Li; Yong Lin; Xiao Zhou; Tong Zhang 001 (Trans. Mach. Learn. Res., 2023)

Optimizing Rapid Seismic Building Damage Assessment: Integrating Enhanced Radar Change Detection Maps with Variational Bayesian Networks. - Xuechun Li; Runyu Gao; Paula M. Bürgi; David Jay Wald; Susu Xu (IGARSS, 2024)

Spatial-variant causal Bayesian inference for rapid seismic ground failures and impacts estimation. - Xuechun Li; Susu Xu (CoRR, 2024)

Geographically Weighted Convolutional Long Short-Term Memory Neural Networks: A Geospatial Deep Learning Model for Monthly NDVI Prediction. - Ruinan Cai; Lei Xu 032; Yu Lv; Tingtao Wu; Xuechun Li; Ziwei Pan; Hongchu Yu; Wenying Du; Nengcheng Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference. - Xuechun Li; Susu Xu (CoRR, 2025)

Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows. - Xuechun Li; Shan Gao; Runyu Gao; Susu Xu (CoRR, 2025)

Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference. - Xuechun Li; Shan Gao; Susu Xu (CoRR, 2025)