Xiang Que

According to our database, Xiang Que authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How does extreme point sampling affect non-extreme simulation in geographical random forest?

Hui Wang, Meixu Chen, Zhe Wang, Li Huang, Christopher C. Caudill, Shijin Qu, Xiang Que

Earth Sci. Informatics, June, 2024

Exploring neuro-symbolic AI applications in geoscience: implications and future directions for mineral prediction.

Weilin Chen, Xiaogang Ma, Zhe Wang, Wenjia Li, Chao Fan, Jiyin Zhang, Xiang Que, Chenhao Li

Earth Sci. Informatics, June, 2024

Empirical Analysis of a Super-SBM-Based Framework for Wetland Carbon Stock Safety Assessment.

Lijie Chen, Zhe Wang, Xiaogang Ma, Jingwen Zhao, Xiang Que, Jinfu Liu, Ruohai Chen, Yimin Li

Remote. Sens., May, 2024

Modeling the spatiotemporal heterogeneity and changes of slope stability in rainfall-induced landslide areas.

Xiang Que, Xinhan Zhuang, Xiaogang Ma, Yuting Lai, Jianfang Xie, Tingting Fei, Hui Wang, W. U. Yuming

Earth Sci. Informatics, February, 2024

2023

Land Cover Impacts on Surface Temperatures: Evaluation and Application of a Novel Spatiotemporal Weighted Regression Approach.

Chao Fan, Xiang Que, Zhe Wang, Xiaogang Ma

ISPRS Int. J. Geo Inf., 2023

Interactive segmentation in aerial images: a new benchmark and an open access web-based tool.

Zhe Wang, Shoukun Sun, Xiang Que, Xiaogang Ma

CoRR, 2023

2022

Toward Trust-Based Recommender Systems for Open Data: A Literature Review.

Chenhao Li, Jiyin Zhang, Amruta Kale, Xiang Que, Sanaz Salati, Xiaogang Ma

Inf., 2022

2021

Parallel computing for Fast Spatiotemporal Weighted Regression.

Xiang Que, Chao Ma, Xiaogang Ma, Qiyu Chen

Comput. Geosci., 2021

2019

Research on the teaching assessment of students of science and engineering teachers in a university.

Shui-yun Deng, Xiang Que

Comput. Appl. Eng. Educ., 2019

2016

Spatiotemporal Data Model for Geographical Process Analysis with Case Study.

Xiang Que, Chonglong Wu, Riqing Chen, Jinfu Liu, Chunyan Lu

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

Key Characteristic Variable Based Learning Model for Exemplar Learning.

Yan Hu, Riqing Chen, Xiang Que

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016