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. Zhe Jiang, Wenchong He, Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Larry Stanislawski, Ethan Shavers, E. Lynn Usery, "Weakly Supervised Spatial Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors", Special Issue on Deep Learning for Spatio-Temporal Data, ACM Transactions on Intelligent Systems and Technology (TIST) (preprint pdf).
  2. Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou, "Deep Learning for Earth Imagery Segmentation on Terrain Surface: A Semi-supervised Approach with Physics-Guided Spatial Graph Co-Training", Special Issue on Deep Learning for Spatio-Temporal Data, ACM Transactions on Intelligent Systems and Technology (TIST) (preprint pdf).
  3. Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, and Dejing Dou. "Unsupervised Adversarial Network Alignment with Reinforcement Learning". ACM Transactions on Knowledge and Discovery from Data (TKDD), 28 pages, 2021. (accepted)
  4. Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang. "Large-scale River Mapping using Contrastive Learning and Multi-Source Satellite Imagery", Remote Sensing, MDPI, 2021 (accepted)
  5. Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen, ``Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint", Frontiers on Big Data, 2021 (accepted)
  6. Lawrence V. Stanislawski, Ethan J. Shavers, Shaowen Wang, Zhe Jiang, E. Lynn Usery, Evan Moak, Alexander Duffy, Joel Schott, ``Extensibility of U-Net neural network model for hydrographic feature extraction and implications for hydrologic modeling", Remote Sensing, MDPI, 2021 (accepted)
  7. Zewei Xu, Shaowen Wang, Larry Stanislawski, Zhe Jiang, Nattapon Jaroenchai, Arpan Man Sainju, Ethan Shavers, E. Lynn Usery, Li Chen, Zhiyu Li, and Bin Su, "An Attention U-Net Model for Detection of Fine-scale Hydrologic Streamlines", Environmental Modelling and Software, Elsevier, 2021
  8. Wenchong He, Zhe Jiang, “Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction”,IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 (accepted)
  9. Zhe Jiang, Arpan Man Sainju, "A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High-Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods", International Journal of Remote Sensing (IJRS), Taylor and Francis Group, 2020 (accepted)
  10. Arpan Man Sainju, Wenchong He, Zhe Jiang, "A Hidden Markov Contour Tree Model for Spatial Structured Prediction", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 (accepted)
  11. Zhe Jiang, "Spatial Structured Prediction Models: Applications, Challenges, and Techniques", IEEE Access, V8, 38714-38727, 2020 (Open Access)
  12. 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)
  13. Zhe Jiang, Miao Xie, Arpan Man Sainju, "Geographical Hidden Markov Tree", IEEE Transactions on Knoweldge and Data Engineering (TKDE), 2019, PDF
  14. 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
  15. Zhe Jiang, "A Survey on Spatial Prediction Methods", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018 PDF
  16. 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
  17. 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
  18. 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.
  19. 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.
  20. 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.
  21. 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 Proceedings

  1. Zhe Jiang, Wenchong He, Stephen Kirby, Sultan Asari, Da Yan, "Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors", In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2021
  2. Xun Zhou, Liang Zhao, Zhe Jiang, Robert N Stewart, Shashi Shekhar, Jieping Ye, "The 2nd ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems", In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
  3. Chengming Zhang, Yuan Geng, Wei Niu, Jianan Tian, Sian Jin, Donglin Zhuang, Sijia Liu, Bin Ren, Yanzhi Wang, Zhe Jiang, Shuaiwen Song, Dingwen Tao, ``ClickTrain: Enabling Efficient and Accurate End-to-End Deep Learning Training via Architecture-Preserving Pruning", International Conference on Supercomputing (ICS), 2021 (to appear)
  4. Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, "Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy", SIAM International Conference on Data Mining (SDM), 2021 (accepted)
  5. Guimu Guo, Da YAN, M. Tamer Özsu, Zhe Jiang, Jalal Khalil. "Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach", Proceedings of the VLDB Endowment (PVLDB), ACM, 2020
  6. Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju, "CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020
  7. Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, and Hu Zhang, "Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields", IEEE International Conference on Data Mining (ICDM), 2020
  8. Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang, "Price Forecast in High-Frequency Stock Market: An Autoregressive Recurrent Neural Network Model with Technical Indicators", ACM International Conference on Information and Knowledge Management (CIKM), 2020
  9. Madhuri Ghorpade, Haiquan Chen, Yuhong Liu, Zhe Jiang, "SMART: Density-based Emerging Activity Recognition with Limited Data", IEEE International Conference on Big Data (BIGDATA), 2020 (accepted)
  10. Yingzhe Dong, Da Yan, Abdullateef Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou, "BELT: A Pipeline for Stock Trend Prediction Using News and Technical Indicators", IEEE International Conference on Big Data (BIGDATA), 2020 (accepted)
  11. Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, "Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint", the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York City, NY, USA, 2020
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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.
  19. 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.
  20. 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.
  21. 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. Arpan Man Sainju, Zhe Jiang, "Mining Colocation from Big Geo-spatial Event Data on GPU", Book Chapter in Handbook of Big Geospatial Data, Editors: Martin Werner, Yao-Yi Chiang. Springer. 2021.
  2. Xin zhao, Jeff Gray, Zhe Jiang, "Text Classification and Topic Modeling for Online Discussion Forums: An Empirical Study from the Systems Modeling Community”, Book chapter in Trends and Applications of Text Summarization Techniques, IGI Global, 2019
  3. Shashi Shekhar, Zhe Jiang, James Kang, Vijay Gandhi, "Spatial Data Mining", Book chapter in Encyclopedia of Database Systems, 2017.
  4. 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.
  5. 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.
  6. 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.
  7. Zhe Jiang, "Focal-Test-Based Spatial Decision Tree". Book chapter in Springer Encyclopedia of GIS: 622-627, 2017.