Zhe Jiang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 80

Top Topics

Weakly Supervised

Spatiotemporal Data

Hidden Markov Tree

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. AAAI (2024)
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. CoRR (2024)
Zhe Jiang, Yu Wang, Zelin Xu
Foundation Models for Spatiotemporal Tasks in the Physical World. SDM (2024)
Richa Dutt, Collin Ortals, Wenchong He, Zachary Charles Curran, Christine Angelini, Alberto Canestrelli, Zhe Jiang
A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery. Remote. Sens. 16 (14) (2024)
Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang
Faster Depth-First Subgraph Matching on GPUs. ICDE (2024)
Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD (2024)
Nattapon Jaroenchai, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, Zhe Jiang, Vasit Sagan, E. Lynn Usery
Transfer learning with convolutional neural networks for hydrological streamline delineation. Environ. Model. Softw. 181 (2024)
Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald L. Ison, Jason Petho, Jiang Bian, Patrick James Tighe, Parisa Rashidi, Zhe Jiang
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR (2024)
Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li
Morphological profiling for drug discovery in the era of deep learning. Briefings Bioinform. 25 (4) (2024)
Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. CoRR (2024)
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI (2024)
Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM (2023)
Jingyuan Wang, Jiahao Ji, Zhe Jiang, Leilei Sun
Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. CoRR (2023)
Wenchong He, Zhe Jiang
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities. CoRR (2023)
Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. NeurIPS (2023)
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. SIGSPATIAL/GIS (2023)
Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. SDM (2023)
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. CoRR (2023)
Shengyu Chen, Nasrin Kalanat, Simon Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. CIKM (2023)
Wenchong He, Zhe Jiang
A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective. CoRR (2023)
Arpan Man Sainju, Wenchong He, Zhe Jiang
A Hidden Markov Contour Tree Model for Spatial Structured Prediction. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI (2022)
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS (2022)
Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD (2022)
Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). SIGSPATIAL/GIS (2022)
Wenchong He, Zhe Jiang
Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Kahlil, Zhe Jiang, Sushil K. Prasad
Distributed Task-Based Training of Tree Models. ICDE (2022)
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 Trans. Intell. Syst. Technol. 13 (2) (2022)
Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD (2022)
Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. AAAI (2022)
Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia P. Sisiopiku, Zhe Jiang
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). SIGSPATIAL/GIS (2022)
Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
An Explainer for Temporal Graph Neural Networks. GLOBECOM (2022)
Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
Maximal Directed Quasi -Clique Mining. ICDE (2022)
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 Trans. Intell. Syst. Technol. 13 (2) (2022)
Arun Sharma, Zhe Jiang, Shashi Shekhar
Spatiotemporal Data Mining: A Survey. CoRR (2022)
Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
An Explainer for Temporal Graph Neural Networks. CoRR (2022)
Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. CoRR (2022)
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM (2022)
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS (2021)
Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD (2021)
Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. KDD (2021)
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. Frontiers Big Data 4 (2021)
Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. GeoAI@SIGSPATIAL (2021)
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. Environ. Model. Softw. 140 (2021)
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM (2021)
Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang
Drone-Based Tower Survey by Multi-Task Learning. IEEE BigData (2021)
Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. IEEE BigData (2021)
Lawrence V. Stanislawski, Ethan 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. Sens. 13 (12) (2021)
Zhe Jiang, Miao Xie, Arpan Man Sainju
Geographical Hidden Markov Tree. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Zhe Jiang
A Survey on Spatial and Spatiotemporal Prediction Methods. CoRR (2020)
Wenchong He, Zhe Jiang
Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction. CoRR (2020)
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. CoRR (2020)
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. CoRR (2020)
Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang
Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. ICDM (2020)
Zhe Jiang
Spatial Structured Prediction Models: Applications, Challenges, and Techniques. IEEE Access 8 (2020)
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. Proc. VLDB Endow. 14 (4) (2020)
Arpan Man Sainju, Zhe Jiang
Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach. Trans. Data Sci. 1 (3) (2020)
Arpan Man Sainju, Danial Aghajarian, Zhe Jiang, Sushil K. Prasad
Parallel Grid-Based Colocation Mining Algorithms on GPUs for Big Spatial Event Data. IEEE Trans. Big Data 6 (1) (2020)
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. CoRR (2020)
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. CoRR (2020)
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. AAAI (2020)
Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. CoRR (2020)
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. CoRR (2020)
Madhuri Ghorpade, Haiquan Chen, Yuhong Liu, Zhe Jiang
SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing. IEEE BigData (2020)
Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. KDD (2020)
Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. CIKM (2020)
Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou
BELT: A Pipeline for Stock Price Prediction Using News. IEEE BigData (2020)
Zhe Jiang, Arpan Man Sainju
Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications. KDD (2019)
Arpan Man Sainju, Zhe Jiang
Mapping road safety features from streetview imagery: A deep learning approach. CoRR (2019)
Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joseph F. Knight
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. ACM Trans. Intell. Syst. Technol. 10 (4) (2019)
Zhe Jiang
A Survey on Spatial Prediction Methods. IEEE Trans. Knowl. Data Eng. 31 (9) (2019)
Miao Xie, Zhe Jiang, Arpan Man Sainju
Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix). CoRR (2018)
Aibek Musaev, Zhe Jiang, Steven L. Jones, Pezhman Sheinidashtegol, Mirbek Dzhumaliev
Detection of Damage and Failure Events of Road Infrastructure Using Social Media. ICWS (2018)
Miao Xie, Zhe Jiang, Arpan Man Sainju
Geographical Hidden Markov Tree for Flood Extent Mapping. KDD (2018)
Benjamin Romano, Zhe Jiang
Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation. SIGSPATIAL/GIS (2017)
Zhe Jiang, Yan Li, Shashi Shekhar, Lian P. Rampi, Joseph F. Knight
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. SIGSPATIAL/GIS (2017)
Arpan Man Sainju, Zhe Jiang
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results. SSTD (2017)
Zhe Jiang, Michael R. Evans, Dev Oliver, Shashi Shekhar
Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network. Inf. Syst. 57 (2016)
Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran
Focal-Test-Based Spatial Decision Tree Learning. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
Zhe Jiang
Learning Spatial Decision Trees for Land Cover Mapping. ICDM Workshops (2015)
Sarnath Ramnath, Zhe Jiang, Hsuan-Heng Wu, Venkata M. V. Gunturi, Shashi Shekhar
A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path. SSTD (2015)
Shashi Shekhar, Zhe Jiang, Reem Y. Ali, Emre Eftelioglu, Xun Tang, Venkata M. V. Gunturi, Xun Zhou
Spatiotemporal Data Mining: A Computational Perspective. ISPRS Int. J. Geo Inf. 4 (4) (2015)
Zhe Jiang, Shashi Shekhar, Azamat Kamzin, Joseph F. Knight
Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results. ICDM Workshops (2014)
Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. ICDM (2013)
Zhe Jiang, Shashi Shekhar, Pradeep Mohan, Joseph F. Knight, Jennifer Corcoran
Learning spatial decision tree for geographical classification: a summary of results. SIGSPATIAL/GIS (2012)
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. GIS (2011)