Yiqun Xie
Yiqun Xie
Assistant Professor, University of Maryland
Verified email at - Homepage
Cited by
Cited by
A locally-constrained YOLO framework for detecting small and densely-distributed building footprints
Y Xie, J Cai, R Bhojwani, S Shekhar, J Knight
International Journal of Geographic Information Science, 2020
Transdisciplinary Foundations of Geospatial Data Science
Y Xie, E Eftelioglu, RY Ali, X Tang, Y Li, R Doshi, S Shekhar
ISPRS International Journal of Geo-Information 6 (12), 2017
Ring-shaped hotspot detection: A summary of results
E Eftelioglu, S Shekhar, D Oliver, X Zhou, MR Evans, Y Xie, JM Kang, ...
2014 IEEE International Conference on Data Mining, 815-820, 2014
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap
SK Prasad, D Aghajarian, M McDermott, D Shah, M Mokbel, S Puri, ...
IEEE Big Data Congress, 2017
Covid-gan: Estimating human mobility responses to covid-19 pandemic through spatio-temporal conditional generative adversarial networks
H Bao, X Zhou, Y Zhang, Y Li, Y Xie
Proceedings of the 28th international conference on advances in geographic …, 2020
A statistically-guided deep network transformation and moderation framework for data with spatial heterogeneity
Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam
2021 IEEE International Conference on Data Mining (ICDM), 767-776, 2021
Statistically-robust clustering techniques for mapping spatial hotspots: A survey
Y Xie, S Shekhar, Y Li
ACM Computing Surveys (CSUR) 55 (2), 1-38, 2022
Significant DBSCAN towards statistically robust clustering
Y Xie, S Shekhar
Proceedings of the 16th International Symposium on Spatial and Temporal …, 2019
Transforming Smart Cities with Spatial Computing
Y Xie, J Gupta, Y Li, S Shekhar
Proceedings of the 4th IEEE International Smart Cities Conference (ISC2), 2018
Crater detection using the morphological characteristics of Chang'E-1 digital elevation models
Y Xie, G Tang, S Yan, H Lin
IEEE Geoscience and Remote Sensing Letters 10 (4), 885-889, 2013
Ndvi versus cnn features in deep learning for land cover clasification of aerial images
A Ramanath, S Muthusrinivasan, Y Xie, S Shekhar, B Ramachandra
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
Y Xie, E He, X Jia, W Chen, S Skakun, H Bao, Z Jian, R Ghosh, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12208 …, 2022
A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets
Y Xie, H Bao, S Shekhar, J Knight
IEEE International Conference on Data Mining (ICDM'18), 2018
Spatial variability aware deep neural networks (svann): A general approach
J Gupta, C Molnar, Y Xie, J Knight, S Shekhar
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (6), 1-21, 2021
Extraction and analysis of gully feature points based on DEM
YQ Xie, HC Zhu, GA Tang, RA Zeng
Journal of Geo-Information Science 15 (1), 61-67, 2013
Physics-guided machine learning from simulation data: An application in modeling lake and river systems
X Jia, Y Xie, S Li, S Chen, J Zwart, J Sadler, A Appling, S Oliver, J Read
2021 IEEE International Conference on Data Mining (ICDM), 270-279, 2021
Towards spatial variability aware deep neural networks (SVANN): A summary of results
J Gupta, Y Xie, S Shekhar
arXiv preprint arXiv:2011.08992, 2020
Large-scale river mapping using contrastive learning and multi-source satellite imagery
Z Wei, K Jia, P Liu, X Jia, Y Xie, Z Jiang
Remote Sensing 13 (15), 2893, 2021
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation
Y Xie, B Runck, S Shekhar, L Kne, D Mulla, N Jordan, P Wiringa
ISPRS International Journal of Geo-Information 6 (7), 2017
Discovering regions of anomalous spatial co-locations
J Cai, M Deng, Y Guo, Y Xie, S Shekhar
International Journal of Geographical Information Science 35 (5), 974-998, 2021
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