Journal Papers

• Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, E Lynn Usery: “Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels” ACM Transactions on Intelligent Systems and Technology (TIST), 2021 (accepted).
• Wenchong He, Arpan Man Sainju, Zhe Jiang,, Da Yan, Yang Zhou: “Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training” ACM Transactions on Intelligent Systems and Technology (TIST), 2021 (accepted).
• Zewei Xu, Shaowen Wang, Lawrence V Stanislawski, Zhe Jiang, Nattapon Jaroenchai, Arpan Man Sainju, Ethan Shavers, E Lynn Usery, Li Chen, Zhiyu Li, Bin Su: “An Attention U-Net Model for Detection of Fine-scale Hydrologic Streamlines.” Environmental Modelling & Software 140 (2021): 104992.
• Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen: “Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint.” Frontiers in Big Data (Frontiers), 2021.
• 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), 2020.
• Arpan Man Sainju, Zhe Jiang: “Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach”. ACM Transaction on Data Science, Sepetember 2020.
• Arpan Man Sainju, Wenchong He, and Zhe Jiang: "A Hidden Markov Contour Tree Model for Spatial Structured Prediction." IEEE Transactions on Knowledge and Data Engineering (2020).
• Zhe Jiang, Miao Xie, Arpan Man Sainju, "Geographical Hidden Markov Tree", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
• Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joe Knight, "Spatial Ensemble Learning for Heterogeneous Geographical Data with Class Ambiguity", ACM Transactions on Intelligent Systems and Technology (TIST), 2019.
• 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), September 2018.

Conference Papers

• Arpan Man Sainju, Wenchong He, Zhe Jiang, and Da Yan. "Spatial classification with limited observations based on physics-aware structural constraint." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 01, pp. 898-905. 2020.
• Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju : "CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 2020.
• Zhe Jiang, Arpan Man Sainju: “Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications”. The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, July 2019.
• Miao Xie, Zhe Jiang, and Arpan Man Sainju . "Geographical hidden markov tree for flood extent mapping." Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 2018.
• Arpan Man Sainju , and Zhe Jiang. "Grid-based colocation mining algorithms on GPU for big spatial event data: A summary of results." International Symposium on Spatial and Temporal Databases (SSTD). Springer, Cham, August 2017.
• Arpan Man Sainju , and Travis Atkison. "An experimental analysis of Windows log events triggered by malware." Proceedings of the SouthEast Conference, April 2017.

Book Chapters

• Arpan Man Sainju, Zhe Jiang: “Mining Colocation from Big Geo-spatial Data on GPU”. Chapter in Handbook of Big Geospatial Data 2021, Springer.

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