Contact
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Email
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Primary Office
- S280 Pappajohn Business Building (PBB)
- (319) 384-3335
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Department
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Fax
Websites
Positions
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Associate Professor of Business Analytics
Tippie College of Business
Education
- MS in Computer Science, Harbin Institute of Technology, 2009
- BS in Computer Science, Harbin Institute of Technology, 2007
- PhD in Computer Science, University of Minnesota, 2014
Areas of Interest
- Machine Learning
- Big Data Analytics
- Spatial and Spatio-Temporal Data Mining
- Spatial Database
- Sustainability
- Urban Intelligence and Smart Cities
Professional Memberships
- ACM SIGSPATIAL
- Association for the Advancement of Artificial Intelligence
- INFORMS
- Senior Member, IEEE, 2021
Selected Awards & Honors
- Best Paper Award, IEEE International Conference on Data Mining (ICDM), 2021
- Best Applied Data Science Paper Award, SIAM International Conference on Data Mining (SDM), 2019
- Best Paper Honorable Mention, 1st International Symposium on Spatio-temporal Computing (ISSC)., 2015
- NSF Student Travel Award, International Conference on Data Mining (ICDM), 2013
- Best Paper Award, 2nd ACM SIGSPATIAL GIS Workshop on Big Geospatial Data Analytics (BigSpatial'13), 2013
- Best Research Paper Award, 12th International Symposium on Spatial and Temporal Databases (SSTD), 2011
- Best student paper award, China National Database Conference (NDBC), 2009
Selected Publications
- DILSA+: Predicting Urban Dispersal Events Through Deep Survival Analysis with Enhanced Urban Features. ACM Transactions on Intelligent Systems and Technology (TIST). , , , & (In Press).
- cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning. IEEE Transactions on Big Data. , , & (In Press).
- Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. pp. 842-852. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). , , , & (2020).
- ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. pp. 1306-1315. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). , , , & (2020).
- xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. pp. 1334-1343. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). , , , & (2020).
- Off-Deployment Traffic Estimation --- A Traffic Generative Adversarial Networks Approach. IEEE Transactions on Big Data (TBD). , , , & (In Press).
- Inferring Passengers’ Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. In Proceedings of The Web Conference (WWW'20). , , , , & (2020).
- Mining Spatio-temporal Reachable Regions with Multiple Sources from Massive Trajectory Data. IEEE Transactions on Knowledge and Data Engineering (TKDE). , , , , , & (In Press).
- Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model. IEEE Transactions on Knowledge and Data Engineering. , , , & (In Press).
- TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. IEEE International Conference on Data Mining (ICDM 2019). , , , & (In Press).
Selected Presentations
- Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. Poster presented at ACM SIGKDD International Conference on Knowledge Discovery from Data., London, United Kingdom. & (2018, August)
- Predicting Traffic Accidents through Heterogeneous Urban Big Data: A Case Study. Conference Presentation presented at 6th ACM KDD International Workshop on Urban Computing. (2017, August)
- A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. Conference Presentation presented at INFORMS Annual Meeting 2016, Nashville, Tennessee. (2016, November)
- A Traffic Flow Approach to Early Detection of Gathering Events. Conference Presentation presented at ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), San Francisco, California. & (2016, November)
- The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. Poster presented at ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, Indiana. (2016, October)
- Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery. Oral presented at Kohn Colloquium, Iowa City, Iowa. (2015, February)
- Big Data Research and Graduate Study Overview. Lecture presented at First Year Seminar: Big Data, Cedar Rapids, Iowa. (2014, November)
- Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery. Oral presented at Departmental Colloquium, Iowa City. (2014, October)
- Discovering Persistent Change Windows in Spatiotemporal Datasets: A Summary of Results. Paper presented at ACM SIGSPATIAL Workshop on Big Geospatial Data Analytics (BigSpatial'13), Orlando, Florida. (2013, November)
- Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach. Paper presented at 7th International Conference on Geographic Information Sciences (GIScience), Columbus, Ohio. (2012, September)
Selected Grants & Contracts
- Zhou, Xun (Investigator) Grant Deep Learning Methods for Traffic Accident Prediction. Sponsored by NVIDIA Corporation. Funded.
- Zhou, Xun (Principal Investigator), Hamann, Cara (Co-Investigator), Spears, Steven (Co-Investigator) Grant Research, Basic. Understanding Bicyclists’ Behaviors Through Learning from Big Trip Data. Sponsored by SAFER-SIM University Transportation Center. Funded. July 1, 2019 - December 31, 2021.
- Zhou, Xun (Principal Investigator) Grant CRII: III: Discovering Complex Change Footprint Patterns on Spatio-temporal Big Data for Urban Sustainability. Sponsored by National Science Foundation. Funded. July 1, 2016 - June 30, 2018.
- Zhou, Xun (Principal Investigator), Shafiq, Zubair (Principal Investigator) Grant Heterogeneous Network Data Analytics to Improve Urban Sustainability. Sponsored by Obermann Center for Advanced Studies, University of Iowa. Funded. June 1, 2016 - June 30, 2016.
Professional Service
- Program Committee Member, ACM International on Information and Knowledge Management (CIKM).
- Program Committee Member, IEEE International Conference on Data Mining (ICDM).
- Program Committee Member, AAAI International Conference on Artificial Intelligence.
- Program Committee, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Member, January 2020.
- ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)., Member, January 2019.
- ACM SIGSPATIAL, Poster Co-Chair, ACM SIGSPATIAL International Conference on Advanced in Geographic Information Systems (GIS), January 2018.
Editorial & Review Activities
- ACM Transactions on Intelligent Systems and Technology (TIST), Referee.
- ACM Transactions on Knowledge Discovery from Data (TKDD), Referee.
- Geoinformatica, Referee.
- IEEE Transactions on Big Data, Reviewer.
- IEEE Transactions on Knowledge and Data Engineering, Referee.
- Information Systems Research, Referee.
- MIS Quarterly, Referee.
- Geoinformatica - Special Issue on Analytics for Local Events and News, Co-editor, January 2020.
- ACM Transactions on Database Systems (TODS), Referee, January 2017.