A neighborhood graph based approach to regional co-location pattern discovery: a summary of results. - Pradeep Mohan; Shashi Shekhar 001; James A. Shine; James P. Rogers; Zhe Jiang 001; Nicole Wayant (GIS, 2011)

Learning spatial decision tree for geographical classification: a summary of results. - Zhe Jiang 001; Shashi Shekhar 001; Pradeep Mohan; Joseph F. Knight; Jennifer Corcoran (SIGSPATIAL/GIS, 2012)

Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. - Zhe Jiang 001; Shashi Shekhar 001; Xun Zhou 001; Joseph F. Knight; Jennifer Corcoran (ICDM, 2013)

Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results. - Zhe Jiang 001; Shashi Shekhar 001; Azamat Kamzin; Joseph F. Knight (ICDM Workshops, 2014)

Learning Spatial Decision Trees for Land Cover Mapping. - Zhe Jiang 001 (ICDM Workshops, 2015)

A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path. - Sarnath Ramnath; Zhe Jiang 001; Hsuan-Heng Wu; Venkata M. V. Gunturi; Shashi Shekhar 001 (SSTD, 2015)

Spatiotemporal Data Mining: A Computational Perspective. - Shashi Shekhar 001; Zhe Jiang 001; Reem Y. Ali; Emre Eftelioglu; Xun Tang; Venkata M. V. Gunturi; Xun Zhou 001 (ISPRS Int. J. Geo Inf., 2015)

Focal-Test-Based Spatial Decision Tree Learning. - Zhe Jiang 001; Shashi Shekhar 001; Xun Zhou 001; Joseph F. Knight; Jennifer Corcoran (IEEE Trans. Knowl. Data Eng., 2015)

Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network. - Zhe Jiang 001; Michael R. Evans; Dev Oliver; Shashi Shekhar 001 (Inf. Syst., 2016)

Spatial Big Data Science - Classification Techniques for Earth Observation Imagery - Zhe Jiang 001; Shashi Shekhar 001 (Springer, 2017)

Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. - Zhe Jiang 001; Yan Li 049; Shashi Shekhar 001; Lian P. Rampi; Joseph F. Knight (SIGSPATIAL/GIS, 2017)

Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation. - Benjamin Romano; Zhe Jiang 001 (SIGSPATIAL/GIS, 2017)

Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results. - Arpan Man Sainju; Zhe Jiang 001 (SSTD, 2017)

Focal-Test-Based Spatial Decision Tree. - Zhe Jiang 001 (Encyclopedia of GIS, 2017)

Detection of Damage and Failure Events of Road Infrastructure Using Social Media. - Aibek Musaev; Zhe Jiang 001; Steven L. Jones; Pezhman Sheinidashtegol; Mirbek Dzhumaliev (ICWS, 2018)

Geographical Hidden Markov Tree for Flood Extent Mapping. - Miao Xie; Zhe Jiang 001; Arpan Man Sainju (KDD, 2018)

Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix). - Miao Xie; Zhe Jiang 001; Arpan Man Sainju (CoRR, 2018)

Spatial Data Mining. - Shashi Shekhar 001; Zhe Jiang 001; James M. Kang; Vijay Gandhi (Encyclopedia of Database Systems (2nd ed.), 2018)

Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications. - Zhe Jiang 001; Arpan Man Sainju (KDD, 2019)

Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. - Zhe Jiang 001; Arpan Man Sainju; Yan Li 049; Shashi Shekhar 001; Joseph F. Knight (ACM Trans. Intell. Syst. Technol., 2019)

A Survey on Spatial Prediction Methods. - Zhe Jiang 001 (IEEE Trans. Knowl. Data Eng., 2019)

Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001 (AAAI, 2020)

BELT: A Pipeline for Stock Price Prediction Using News. - Yingzhe Dong; Da Yan 001; Abdullateef Ibrahim Almudaifer; Sibo Yan; Zhe Jiang 001; Yang Zhou 001 (IEEE BigData, 2020)

SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing. - Madhuri Ghorpade; Haiquan Chen; Yuhong Liu; Zhe Jiang 001 (IEEE BigData, 2020)

Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. - Yuechun Gu; Da Yan 001; Sibo Yan; Zhe Jiang 001 (CIKM, 2020)

Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. - Jiahao Ji; Jingyuan Wang 001; Zhe Jiang 001; Jingtian Ma; Hu Zhang (ICDM, 2020)

CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. - Wenchong He; Zhe Jiang 001; Chengming Zhang 006; Arpan Man Sainju (KDD, 2020)

Spatial Structured Prediction Models: Applications, Challenges, and Techniques. - Zhe Jiang 001 (IEEE Access, 2020)

Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. - Guimu Guo; Da Yan 001; M. Tamer Özsu; Zhe Jiang 001 (CoRR, 2020)

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. - Zhe Jiang 001; Arpan Man Sainju (CoRR, 2020)

Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001; Haiquan Chen (CoRR, 2020)

Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. - Zhe Jiang 001; Marcus Stephen Kirby; Wenchong He; Arpan Man Sainju (CoRR, 2020)

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

A Survey on Spatial and Spatiotemporal Prediction Methods. - Zhe Jiang 001 (CoRR, 2020)

Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. - Guimu Guo; Da Yan 001; M. Tamer Özsu; Zhe Jiang 001; Jalal Khalil (Proc. VLDB Endow., 2020)

Parallel Grid-Based Colocation Mining Algorithms on GPUs for Big Spatial Event Data. - Arpan Man Sainju; Danial Aghajarian; Zhe Jiang 001; Sushil K. Prasad (IEEE Trans. Big Data, 2020)

Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach. - Arpan Man Sainju; Zhe Jiang 001 (Trans. Data Sci., 2020)

Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. - Da Yan 001; Shengbin Wu; Mirza Tanzim Sami; Abdullateef Ibrahim Almudaifer; Zhe Jiang 001; Haiquan Chen; D. Rangaprakash; Gopikrishna Deshpande; Yueen Ma 001 (IEEE BigData, 2021)

Drone-Based Tower Survey by Multi-Task Learning. - Mirza Tanzim Sami; Da Yan 001; Huang Huang; Xinyu Liang; Guimu Guo; Zhe Jiang 001 (IEEE BigData, 2021)

Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. - Md Mostafijur Rahman; Arpan Man Sainju; Da Yan 001; Zhe Jiang 001 (GeoAI@SIGSPATIAL, 2021)

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (ICS, 2021)

Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. - Zhe Jiang 001; Wenchong He; Marcus Stephen Kirby; Sultan Asiri; Da Yan 001 (KDD, 2021)

DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. - Xun Zhou 001; Liang Zhao 002; Zhe Jiang 001; Robert N. Stewart; Shashi Shekhar 001; Jieping Ye (KDD, 2021)

Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. - Wenchong He; Arpan Man Sainju; Zhe Jiang 001; Da Yan 001 (SDM, 2021)

An attention U-Net model for detection of fine-scale hydrologic streamlines. - Zewei Xu; Shaowen Wang 001; Lawrence V. Stanislawski; Zhe Jiang 001; Nattapon Jaroenchai; Arpan Man Sainju; Ethan Shavers; E. Lynn Usery; Li Chen 025; Zhiyu Li; Bin Su (Environ. Model. Softw., 2021)

Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001; Haiquan Chen (Frontiers Big Data, 2021)

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling. - Lawrence V. Stanislawski; Ethan Shavers; Shaowen Wang 001; Zhe Jiang 001; E. Lynn Usery; Evan Moak; Alexander Duffy; Joel Schott (Remote. Sens., 2021)

Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery. - Zhihao Wei; Kebin Jia; Pengyu Liu 001; Xiaowei Jia; Yiqun Xie; Zhe Jiang 001 (Remote. Sens., 2021)

Geographical Hidden Markov Tree. - Zhe Jiang 001; Miao Xie; Arpan Man Sainju (IEEE Trans. Knowl. Data Eng., 2021)

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. - Jiahao Ji; Jingyuan Wang 001; Zhe Jiang 001; Jiawei Jiang 003; Hu Zhang (AAAI, 2022)

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. - Yiqun Xie; Erhu He; Xiaowei Jia; Weiye Chen; Sergii Skakun; Han Bao 003; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (AAAI, 2022)

An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). - Saugat Adhikari; Da Yan 001; Mirza Tanzim Sami; Jalal Khalil; Lyuheng Yuan; Bhadhan Roy Joy; Zhe Jiang 001; Arpan Man Sainju (SIGSPATIAL/GIS, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). - Jalal Khalil; Da Yan 001; Lyuheng Yuan; Mostafa Jafarzadehfadaki; Saugat Adhikari; Virginia P. Sisiopiku; Zhe Jiang 001 (SIGSPATIAL/GIS, 2022)

An Explainer for Temporal Graph Neural Networks. - Wenchong He; Minh N. Vu; Zhe Jiang 001; My T. Thai (GLOBECOM, 2022)

Maximal Directed Quasi -Clique Mining. - Guimu Guo; Da Yan 001; Lyuheng Yuan; Jalal Khalil; Cheng Long 001; Zhe Jiang 001; Yang Zhou 001 (ICDE, 2022)

Distributed Task-Based Training of Tree Models. - Da Yan 001; Md Mashiur Rahman Chowdhury; Guimu Guo; Jalal Khalil; Zhe Jiang 001; Sushil K. Prasad (ICDE, 2022)

Federated Fingerprint Learning with Heterogeneous Architectures. - Tianshi Che; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Ji Liu 003; Zhe Jiang 001; Da Yan 001; Ruoming Jin; Dejing Dou (ICDM, 2022)

DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. - Zhe Jiang 001; Liang Zhao 002; Xun Zhou 001; Robert N. Stewart; Junbo Zhang; Shashi Shekhar 001; Jieping Ye (KDD, 2022)

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. - Wenchong He; Zhe Jiang 001; Marcus Kriby; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (KDD, 2022)

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. - Xiaowei Jia; Shengyu Chen; Yiqun Xie; Haoyu Yang; Alison P. Appling; Samantha Oliver; Zhe Jiang 001 (SDM, 2022)

Spatiotemporal Data Mining: A Survey. - Arun Sharma 006; Zhe Jiang 001; Shashi Shekhar 001 (CoRR, 2022)

Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. - Wenchong He; Arpan Man Sainju; Zhe Jiang 001; Da Yan 001; Yang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2022)

Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. - Zhe Jiang 001; Wenchong He; Marcus Stephen Kirby; Arpan Man Sainju; Shaowen Wang 001; Lawrence V. Stanislawski; Ethan Shavers; E. Lynn Usery (ACM Trans. Intell. Syst. Technol., 2022)

Unsupervised Adversarial Network Alignment with Reinforcement Learning. - Yang Zhou 001; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Jingyi Zheng; Zhe Jiang 001; Da Yan 001; Dejing Dou (ACM Trans. Knowl. Discov. Data, 2022)

Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. - Wenchong He; Zhe Jiang 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Hidden Markov Contour Tree Model for Spatial Structured Prediction. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]. - Zhe Jiang 001 (IEEE Big Data, 2023)

Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. - Shengyu Chen; Nasrin Kalanat; Simon N. Topp; Jeffrey M. Sadler; Yiqun Xie; Zhe Jiang 001; Xiaowei Jia (CIKM, 2023)

Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001 (SIGSPATIAL/GIS, 2023)

A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. - Wenchong He; Zhe Jiang 001; Tingsong Xiao; Zelin Xu 001; Shigang Chen; Ronald Fick; Miles Medina; Christine Angelini (NeurIPS, 2023)

A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. - Zhe Jiang 001; Yupu Zhang; Saugat Adhikari; Da Yan 001; Arpan Man Sainju; Xiaowei Jia; Yiqun Xie (SDM, 2023)

Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. - Xiaowei Jia; Shengyu Chen; Can Zheng; Yiqun Xie; Zhe Jiang 001; Nasrin Kalanat (SDM, 2023)

A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective. - Wenchong He; Zhe Jiang 001 (CoRR, 2023)

Deep Learning for Spatiotemporal Big Data: A Vision on Opportunities and Challenges. - Zhe Jiang 001 (CoRR, 2023)

Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities. - Wenchong He; Zhe Jiang 001 (CoRR, 2023)

Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields. - Jingyuan Wang 001; Jiahao Ji; Zhe Jiang 001; Leilei Sun (IEEE Trans. Knowl. Data Eng., 2023)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. - Zhihao Wang; Yiqun Xie; Zhili Li; Xiaowei Jia; Zhe Jiang 001; Aolin Jia; Shuo Xu 002 (AAAI, 2024)

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001; Shigang Chen; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (AAAI, 2024)

DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph. - Jalal Khalil; Akhlaque Ahmad; Da Yan 001; Lyuheng Yuan; Saugat Adhikari; Yang Zhou 001; Zhe Jiang 001 (CIKM, 2024)

Faster Depth-First Subgraph Matching on GPUs. - Lyuheng Yuan; Da Yan 001; Jiao Han; Akhlaque Ahmad; Yang Zhou 001; Zhe Jiang 001 (ICDE, 2024)

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. - Mirza Tanzim Sami; Da Yan 001; Saugat Adhikari; Lyuheng Yuan; Jiao Han; Zhe Jiang 001; Jalal Khalil; Yang Zhou 001 (IJCAI, 2024)

The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). - Zhe Jiang 001; Liang Zhao 002; Xun Zhou 001; Junbo Zhang; Shashi Shekhar 001; Jieping Ye (KDD, 2024)

Foundation Models for Spatiotemporal Tasks in the Physical World. - Zhe Jiang 001; Yu Wang 044; Zelin Xu 001 (SDM, 2024)

Morphological profiling for drug discovery in the era of deep learning. - Qiaosi Tang; Ranjala Ratnayake; Gustavo de M. Seabra; Zhe Jiang 001; Ruogu Fang; Lina Cui; Yousong Ding; Tamer Kahveci; Jiang Bian 001; Chenglong Li; Hendrik Luesch; Yanjun Li 005 (Briefings Bioinform., 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Jim Su; Yupu Zhang; Raymond Opoku; Ronald L. Ison; Jason Petho; Jiang Bian 001; Patrick James Tighe; Parisa Rashidi; Zhe Jiang 001 (CoRR, 2024)

Spatio-Temporal Partial Sensing Forecast for Long-term Traffic. - Zibo Liu; Zhe Jiang 001; Zelin Xu 001; Tingsong Xiao; Zhengkun Xiao; Haibo Wang 004; Shigang Chen (CoRR, 2024)

Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting. - Zibo Liu; Zhe Jiang 001; Shigang Chen (CoRR, 2024)

A Fast AI Surrogate for Coastal Ocean Circulation Models. - Zelin Xu 001; Jie Ren; Yupu Zhang; Jose Maria Gonzalez Ondina; Maitane Olabarrieta; Tingsong Xiao; Wenchong He; Zibo Liu; Shigang Chen; Kaleb E. Smith; Zhe Jiang 001 (CoRR, 2024)

Transfer learning with convolutional neural networks for hydrological streamline delineation. - Nattapon Jaroenchai; Shaowen Wang 001; Lawrence V. Stanislawski; Ethan Shavers; Zhe Jiang 001; Vasit Sagan; E. Lynn Usery (Environ. Model. Softw., 2024)

A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery. - Richa Dutt; Collin Ortals; Wenchong He; Zachary Charles Curran; Christine Angelini; Alberto Canestrelli; Zhe Jiang 001 (Remote. Sens., 2024)

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks. - Erhu He; Declan Kutscher; Yiqun Xie; Jacob Zwart; Zhe Jiang 001; Huaxiu Yao; Xiaowei Jia (AAAI, 2025)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Zhengkun Xiao; Yupu Zhang; Zibo Liu; Shigang Chen; My T. Thai; Jiang Bian 001; Parisa Rashidi; Zhe Jiang 001 (AAAI, 2025)

Accelerate Coastal Ocean Circulation Model with AI Surrogate. - Zelin Xu 001; Jie Ren; Yupu Zhang; Jose Maria Gonzalez Ondina; Maitane Olabarrieta; Tingsong Xiao; Wenchong He; Zibo Liu; Shigang Chen; Kaleb E. Smith; Zhe Jiang 001 (IPDPS, 2025)

Spatio-temporal Partial Sensing Forecast of Long-term Traffic. - Zibo Liu; Zhe Jiang 001; Zelin Xu 001; Tingsong Xiao; Zhengkun Xiao; Yupu Zhang; Haibo Wang 004; Shigang Chen (Trans. Mach. Learn. Res., 2025)

LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews. - Sirish Prabakar; Haiquan Chen; Zhe Jiang 001; Carl Yang 001; Weikuan Yu; Da Yan 001 (GeoInformatica, 2025)

Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data. - Saugat Adhikari; Da Yan 001; Zhe Jiang 001; Jiao Han; Zelin Xu 001; Yupu Zhang; Arpan Man Sainju; Yang Zhou 001 (ACM Trans. Spatial Algorithms Syst., 2025)

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction. - Yupu Zhang; Zelin Xu 001; Tingsong Xiao; Gustavo de M. Seabra; Yanjun Li 005; Chenglong Li; Zhe Jiang 001 (CoRR, 2025)