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STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19


Jan 20, 2023
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia

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* Accepted at the 22nd IEEE International Conference on Data Mining (ICDM 2022) Full Paper 

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ProtoX: Explaining a Reinforcement Learning Agent via Prototyping


Nov 06, 2022
Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou

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EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data


Sep 27, 2022
Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou

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* In Proceedings of the 30th ACM SIGSPATIAL, International Conference on Advances in Geographic Information Systems (2022) [accepted as a full paper] 

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HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data


Mar 07, 2022
Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li

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* 9 pages, 2022 SIAM International Conference on Data Mining 

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Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data


May 03, 2019
Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Ynahua Li

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* To appear in AAAI-19 proceedings 

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Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa


Sep 06, 2018
Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch

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* arXiv admin note: substantial text overlap with arXiv:1708.04714 

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Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa


Aug 15, 2017
Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street

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* 8 pages 

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See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS


Jan 08, 2017
Xun Zhou, Changle Li, Zhe Liu, Tom H. Luan, Zhifang Miao, Lina Zhu, Lei Xiong

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