Zhe Jiang Homepage

Books

  1. Zhe Jiang, Shashi Shekhar: Spatial Big Data Science - Classification Techniques for Earth Observation Imagery. Springer 2017, ISBN 978-3-319-60194-6, pp. 1-131

Journal Papers

  1. Arpan Man Sainju, Zhe Jiang, "Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach", ACM Transactions on Data Science (TDS), Special Issue on Urban Computing and Smart Cities, 2019, PDF (accepted)
  2. Zhe Jiang, Miao Xie, Arpan Man Sainju, "Geographical Hidden Markov Tree", IEEE Transactions on Knoweldge and Data Engineering (TKDE), 2019, PDF
  3. Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joe Knight, "Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity", ACM Transactions on Intelligent Systems and Technology (TIST), 2019 PDF
  4. Zhe Jiang, "A Survey on Spatial Prediction Methods", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018 PDF
  5. Arpan Man Sainju, Daniel Aghajarian, Zhe Jiang, Sushil Prasad, "Parallel Grid-based Colocation Mining Algorithms on GPUs for Big Spatial Event Data", IEEE Transactions on Big Data (TBD), 2018 PDF
  6. Zhe Jiang, Micheal Evans, Dev Oliver, Shashi Shekhar. "Identifying K Primary Corridors from Urban Bicycle GPS Trajectories on a Road Network." Special Issues on Mining Urban Data, Information Systems Journal, Elsevier, 2016 PDF
  7. Anuj Karpatne, Zhe Jiang, Ranga Raju Vatsavai, Shashi Shekhar, Vipin Kumar, "Monitoring Land Cover Changes using Remote Sensing Data: A Machine Learning Perspective." Special Issue on Advances in Machine Learning for Remote Sensing and Geosciences, IEEE Geoscience and Remote Sensing Magazine (GRSM), 2016.
  8. Emre Eftelioglu, Zhe Jiang, Shashi Shekhar, "Spatial Computing Perspective on Food Energy and Water Nexus." Special Issues on the Food-Energy-Water Nexus, Journal of Environmental Studies and Sciences, Springer, 2016.
  9. Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph Knight, and Jennifer Corcoran. "Focal-test-based spatial decision tree learning." IEEE Transactions on Knowledge and Data Engineering (TKDE) 27, no. 6 (2015): 1547-1559.
  10. Shashi Shekhar, Zhe Jiang, Reem Ali, Emre Eftelioglu, Xun Tang, Viswanath Gunturi, Xun Zhou, "Spatiotemporal Data Mining: A Computational Perspective", Special Issue on Advances in Spatio-Temporal Data Analysis and Mining, ISPRS International Journal of Geo-Information, 4(4), 2306-2338, 2015 (link).

Conference Papers

  1. Zhe Jiang, Arpan Man Sainju, "Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Anchorage, AK, USA, 2019 PDF, Source Codes
  2. Miao Xie, Zhe Jiang, Arpan Man Sainju, "Geographical Hidden Markov Tree for Flood Extent Mapping", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), London, UK, 2018 PDF
  3. Aibek Musaev, Zhe Jiang, Steven Jones, Pezhman Sheinidashtegol, Mirbek Dzhumaliev, "Detection of Damage and Failure Events of Road Infrastructure Using Social Media", International Conferenceon Web Services (ICWS), Springer, 2018
  4. Zhe Jiang, Yan Li, Shashi Shekhar, and Lian Rampi, Joseph Knight. "Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results". In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS) (full research paper), 2017 PDF
  5. Benjamin Romano, Zhe Jiang. "Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation." In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS). ACM, 2017 PDF
  6. Arpan Man Sainju, Zhe Jiang. "Grid-based Co-location Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results". International Symposium on Spatial and Temporal Databases (SSTD), 2017 PDF
  7. Sarnath Ramnath, Zhe Jiang, Hsuan-Heng Wu, Viswanath Gunturi, Shashi Shekhar: "A Spatio-temporally Opportunistic Approach to Best-start-time Lagrangian Shortest Path". 14th International Symposium on Spatial and Temporal Databases (SSTD) 2015.
  8. Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph Knight, and Jennifer Corcoran. "Focal-test-based spatial decision tree learning: A summary of results." In IEEE 13th International Conference on Data Mining (ICDM), pp. 320-329. IEEE, 2013.
  9. Zhe Jiang, Shashi Shekhar, Pradeep Mohan, Joseph Knight, Jennifer Corcoran. "Learning spatial decision tree for geographical classification: a summary of results". In Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), pp 390-393, 2012.
  10. Pradeep Mohan, Shashi Shekhar, James A. Shine, James P. Rogers, Zhe Jiang, Nicole Wayant. "A neighborhood graph based approach to regional co-location pattern discovery: a summary of results". In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), pp 122-132

Workshop Papers

  1. Arpan Man Sainju, Zhe Jiang, "Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach", ACM SIGKDD International Workshop on Urban Computing (UrbComp 2019), PDF

Book Chapters

  1. Xin zhao, Jeff Gray, Zhe Jiang, "Text Classification and Topic Modeling for Online Discussion Forums: An Empirical Study from the Systems Modeling Communityā€¯, Book chapter in Trends and Applications of Text Summarization Techniques, IGI Global, 2019
  2. Shashi Shekhar, Zhe Jiang, James Kang, Vijay Gandhi, "Spatial Data Mining", Book chapter in Encyclopedia of Database Systems, 2017.
  3. Shashi Shekhar, Yan Li, Reem Ali, Emre Eftelioglu, Xun Tang, Zhe Jiang, "Spatial and Spatiotemporal Data Mining", Book chapter in Comprehensive Geographic Information Systems, 264-286, Elsevier, 2017.
  4. Reem Y. Ali, Viswnath Gunturi, Zhe Jiang, Shashi Shekhar, "Emerging Applications of Spatial Net- work Big Data in Transportation." Book chapter in Big Data and Computational Intelligence in Networking. Taylor & Francis LLC, CRC Press, December 2017.
  5. Emre Eftelioglu, Zhe Jiang, Xun Tang, and Shashi Shekhar. "The Nexus of Food, Energy, and Water Resources: Visions and Challenges in Spatial Computing". Book Chapter In Advances in Geocomputation (pp. 5-20). Springer, Cham, 2017.
  6. Zhe Jiang, "Focal-Test-Based Spatial Decision Tree". Book chapter in Springer Encyclopedia of GIS: 622-627, 2017.