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Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data

Dec 14, 2020
Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu

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Kartta Labs: Collaborative Time Travel

Oct 07, 2020
Sasan Tavakkol, Feng Han, Brandon Mayer, Mark Phillips, Cyrus Shahabi, Yao-Yi Chiang, Raimondas Kiveris

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Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces

Sep 04, 2020
Kien Nguyen, John Krumm, Cyrus Shahabi

* 10 pages, SIGSPATIAL'20 

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DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis

Mar 03, 2020
Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-Yi Chiang, Cyrus Shahabi

* Published as a conference paper at BigData 2019 

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Adversarial Representation Learning on Large-Scale Bipartite Graphs

Jun 27, 2019
Chaoyang He, Tian Xie, Yu Rong, Wenbing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi

* 15 pages. Submitted to NeurIPS 2019 (Thirty-third Conference on Neural Information Processing Systems) 

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Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Feb 22, 2018
Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu

* Published as a conference paper at ICLR 2018 

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m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series

Aug 26, 2017
Minh Nguyen, Sanjay Purushotham, Hien To, Cyrus Shahabi

* VAHC2016 Workshop on Visual Analytics in Healthcare in conjunction with AMIA 2016 

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On Identifying Disaster-Related Tweets: Matching-based or Learning-based?

May 04, 2017
Hien To, Sumeet Agrawal, Seon Ho Kim, Cyrus Shahabi

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Label Propagation on K-partite Graphs with Heterophily

Jan 21, 2017
Dingxiong Deng, Fan Bai, Yiqi Tang, Shuigeng Zhou, Cyrus Shahabi, Linhong Zhu

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