Ximeng Cheng, Marc Vischer, Zachary Schellin, Leila Arras, Monique M. Kuglitsch, Wojciech Samek, and Jackie Ma. Explainability in GeoAI. Handbook of Geospatial Artificial Intelligence, CRC Press, 177-200, 2024.
Brief Introduction
I am a postdoc researcher in the Applied Machine Learning Group at the Artificial Intelligence Department, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI). In 2021, I worked in the High Performance Computing (HPC) Group, Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) for three months. During my doctoral period, I was a research assistant at the Institute of Remote Sensing and Geographical Information Systems, Peking University. In 2019, as a visiting scholar, I worked in the CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign. During my graduate study, I was a visiting graduate student for two years (2014-2016) at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences.
My research interests include GIScience, spatio-temporal data mining, geospatial artificial intelligence (GeoAI), machine learning, explainable artificial intelligence (XAI), time-series analysis, social sensing, urban studies, remote sensing, transportation, and disaster assessment. My studies have been published in international leading journals including Computers, Environment and Urban Systems, and International Journal of Geographical Information Science.
Publications
* for corresponding author
Jintong Tang, Ximeng Cheng*, Aihan Liu, Qian Huang, Yinsheng Zhou, Zhou Huang, Yu Liu, and Liyan Xu*. Inferring “high-frequent” mixed urban functions from telecom traffic. Environment and Planning B: Urban Analytics and City Science, 23998083231221867, 2023.
Ximeng Cheng*, Ali Doosthosseini, and Julian Kunkel. Improve the deep learning models in forestry based on explanations and expertise. Frontiers in Plant Science, 13:902105, 2022.
Ximeng Cheng*, Zhiqian Wang, Xuexi Yang, Liyan Xu, and Yu Liu. Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series. Computers, Environment and Urban Systems, 88:101627, 2021.
Ximeng Cheng, Jianying Wang, Haifeng Li, Yi Zhang, Lun Wu, and Yu Liu*. A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence. International Journal of Geographical Information Science, 35(10):2002-2025, 2021.
Fan Xia, Ximeng Cheng, Zhen Lei*, Jintao Xu, Yu Liu, Yingxin Zhang, and Qinghong Zhang. Heterogeneous impacts of local traffic congestion on local air pollution within a city: Utilizing taxi trajectory data. Journal of Environmental Economics and Management, 122:102896, 2023.
Lun Wu, Ximeng Cheng, Chaogui Kang, Di Zhu, Zhou Huang, and Yu Liu*. A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data. International Journal of Digital Earth, 13(6):708-726, 2020.
Di Zhu, Ximeng Cheng, Fan Zhang, Xin Yao, Yong Gao, and Yu Liu*. Spatial interpolation using conditional generative adversarial neural networks. International Journal of Geographical Information Science, 34(4):735-758, 2020.
Xiaoyue Xing, Zhou Huang*, Ximeng Cheng, Di Zhu, Chaogui Kang, Fan Zhang, and Yu Liu. Mapping human activity volumes through remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:5652-5668, 2020.
Jianying Wang, Lei Dong, Ximeng Cheng, Weijun Yang, and Yu Liu*. An extended exploration and preferential return model for human mobility simulation at individual and collective levels. Physica A: Statistical Mechanics and its Applications, 534:121921, 2019.
Shiliang Zhang, Di Zhu*, Xin Yao, Ximeng Cheng, Huagui He, and Yu Liu. The scale effect on spatial interaction patterns: an empirical study using taxi O-D data of Beijing and Shanghai. IEEE Access, 6:51994-52003, 2018.
Di Zhu, Fan Zhang, Shengyin Wang, Yaoli Wang, Ximeng Cheng, Zhou Huang, and Yu Liu*. Understanding place characteristics in geographic contexts through graph convolutional neural networks. Annals of the American Association of Geographers, 110(2):408-420, 2020.
Ximeng Cheng*, Zhanfeng Shen, Tingyan Xing, and Wen Dong. Damaged building extraction and rapid assessment for earthquake disasters based on high-resolution remote sensing images [基于高分遥感影像的地震受灾建筑物提取与倒损情况快速评估]. Journal of Natural Disasters, 25(3):22-31, 2016. (In Chinese)
Ximeng Cheng, Zhanfeng Shen*, Tingyan Xing, Liegang Xia, and Tianjun Wu. Efficiency and accuracy analysis of multispectral image classification based on mRMR feature selection method [基于mRMR特征优选算法的多光谱遥感影像分类效率精度分析]. Journal of Geo-information Science, 18(6):815-823, 2016. (In Chinese)
Wen Dong*, Zhanfeng Shen, and Ximeng Cheng. The rapid assessment method of earthquake disaster based on high-resolution remote sensing target feature library [基于高分辨率遥感目标特征库的地震灾情快速评估方法]. Journal of Geo-information Science, 18(5):699-707, 2016. (In Chinese)
Jintong Tang, Ximeng Cheng*, Aihan Liu, Qian Huang, Yinsheng Zhou, Zhou Huang, Yu Liu, and Liyan Xu*. Inferring “high-frequent” mixed urban functions from telecom traffic. Environment and Planning B: Urban Analytics and City Science, 23998083231221867, 2023.
Ximeng Cheng*, Ali Doosthosseini, and Julian Kunkel. Improve the deep learning models in forestry based on explanations and expertise. Frontiers in Plant Science, 13:902105, 2022.
Ximeng Cheng*, Zhiqian Wang, Xuexi Yang, Liyan Xu, and Yu Liu. Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series. Computers, Environment and Urban Systems, 88:101627, 2021.
Ximeng Cheng, Jianying Wang, Haifeng Li, Yi Zhang, Lun Wu, and Yu Liu*. A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence. International Journal of Geographical Information Science, 35(10):2002-2025, 2021.
Fan Xia, Ximeng Cheng, Zhen Lei*, Jintao Xu, Yu Liu, Yingxin Zhang, and Qinghong Zhang. Heterogeneous impacts of local traffic congestion on local air pollution within a city: Utilizing taxi trajectory data. Journal of Environmental Economics and Management, 122:102896, 2023.
Lun Wu, Ximeng Cheng, Chaogui Kang, Di Zhu, Zhou Huang, and Yu Liu*. A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data. International Journal of Digital Earth, 13(6):708-726, 2020.
Di Zhu, Ximeng Cheng, Fan Zhang, Xin Yao, Yong Gao, and Yu Liu*. Spatial interpolation using conditional generative adversarial neural networks. International Journal of Geographical Information Science, 34(4):735-758, 2020.
Xiaoyue Xing, Zhou Huang*, Ximeng Cheng, Di Zhu, Chaogui Kang, Fan Zhang, and Yu Liu. Mapping human activity volumes through remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:5652-5668, 2020.
Jianying Wang, Lei Dong, Ximeng Cheng, Weijun Yang, and Yu Liu*. An extended exploration and preferential return model for human mobility simulation at individual and collective levels. Physica A: Statistical Mechanics and its Applications, 534:121921, 2019.
Shiliang Zhang, Di Zhu*, Xin Yao, Ximeng Cheng, Huagui He, and Yu Liu. The scale effect on spatial interaction patterns: an empirical study using taxi O-D data of Beijing and Shanghai. IEEE Access, 6:51994-52003, 2018.
Di Zhu, Fan Zhang, Shengyin Wang, Yaoli Wang, Ximeng Cheng, Zhou Huang, and Yu Liu*. Understanding place characteristics in geographic contexts through graph convolutional neural networks. Annals of the American Association of Geographers, 110(2):408-420, 2020.
Ximeng Cheng*, Zhanfeng Shen, Tingyan Xing, and Wen Dong. Damaged building extraction and rapid assessment for earthquake disasters based on high-resolution remote sensing images [基于高分遥感影像的地震受灾建筑物提取与倒损情况快速评估]. Journal of Natural Disasters, 25(3):22-31, 2016. (In Chinese)
Ximeng Cheng, Zhanfeng Shen*, Tingyan Xing, Liegang Xia, and Tianjun Wu. Efficiency and accuracy analysis of multispectral image classification based on mRMR feature selection method [基于mRMR特征优选算法的多光谱遥感影像分类效率精度分析]. Journal of Geo-information Science, 18(6):815-823, 2016. (In Chinese)
Wen Dong*, Zhanfeng Shen, and Ximeng Cheng. The rapid assessment method of earthquake disaster based on high-resolution remote sensing target feature library [基于高分辨率遥感目标特征库的地震灾情快速评估方法]. Journal of Geo-information Science, 18(5):699-707, 2016. (In Chinese)
Patents
1. Lingling Li, Zhanfeng Shen, Yida Fan, Tong Tang, Qi Wen, Wei Wang, Ping Wang, Wen Dong, Wei Zhang, Yueguan Lin, Yan Cui, He Huang and Ximeng Cheng. (20/07/2016): Building vector boundary simplification method [建筑物矢量边界简化的方法]. Chinese Patent (No CN105787977A).
2. Zhanfeng Shen, Ximeng Cheng, Jiancheng Luo and Liegang Xia. (22/07/2015): Remote sensing character optimization algorithm for improving mRMR (min-redundancy max-relevance) algorithm [一种改进mRMR算法的遥感特征优选算法]. Chinese Patent (No CN104794496A).
3. Tingyan Xing, Chunmei Zheng, Junbao Xia, Xiao Nie, Hongliang Xing, Junbao Cheng, Hao Hou, Haizhi Zhang, Fang Yuan, Linqi Wu and Ximeng Cheng. (27/08/2014): Data configuration based oil and gas resource data integration method and integration platform [基于数据配置的油气资源数据集成方法及集成平台]. Chinese Patent (No CN104008161A).