Zhe Jiang
Orcid: 0000-0002-3576-6976Affiliations:
- University of Florida, Gainesville, FL, USA
- University of Alabama, Tuscaloosa, AL, USA (former)
According to our database1,
Zhe Jiang
authored at least 78 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., September, 2023
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities.
CoRR, 2023
A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective.
CoRR, 2023
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction.
IEEE Trans. Knowl. Data Eng., 2022
ACM Trans. Knowl. Discov. Data, 2022
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels.
ACM Trans. Intell. Syst. Technol., 2022
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., 2022
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper).
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper).
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery.
Remote. Sens., 2021
Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling.
Remote. Sens., 2021
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint.
Frontiers Big Data, 2021
Environ. Model. Softw., 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Trans. Data Sci., 2020
IEEE Trans. Big Data, 2020
Proc. VLDB Endow., 2020
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR, 2020
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors.
CoRR, 2020
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint.
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.
CoRR, 2020
CoRR, 2020
IEEE Access, 2020
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
CoRR, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Web Services - ICWS 2018, 2018
2017
Proceedings of the Encyclopedia of GIS., 2017
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results.
Proceedings of the Advances in Spatial and Temporal Databases, 2017
Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
Springer, ISBN: 978-3-319-60194-6, 2017
2016
Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network.
Inf. Syst., 2016
2015
ISPRS Int. J. Geo Inf., 2015
A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path.
Proceedings of the Advances in Spatial and Temporal Databases, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Learning spatial decision tree for geographical classification: a summary of results.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012
2011
A neighborhood graph based approach to regional co-location pattern discovery: a summary of results.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011