Xiaowei Jia
Orcid: 0000-0001-8544-5233
According to our database1,
Xiaowei Jia
authored at least 125 papers
between 2011 and 2024.
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Bibliography
2024
ACM Trans. Intell. Syst. Technol., February, 2024
Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes.
CoRR, 2024
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
CoRR, 2024
CoRR, 2024
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Reconstruction of Continuous High-Resolution Sea Surface Temperature Data Using Time-Aware Implicit Neural Representation.
Remote. Sens., December, 2023
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.
Knowl. Inf. Syst., November, 2023
Knowl. Inf. Syst., June, 2023
A physics-based strategy for choosing initial iterate for solving drift-diffusion equations.
Comput. Math. Appl., February, 2023
Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst., 2023
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.
ACM Comput. Surv., 2023
Comput. Syst. Sci. Eng., 2023
CoRR, 2023
From molecules to scaffolds to functional groups: building context-dependent molecular representation via multi-channel learning.
CoRR, 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources.
CoRR, 2023
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.
CoRR, 2023
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.
CoRR, 2023
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.
CoRR, 2023
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
Proceedings of the 2023 SIAM International Conference on Data Mining, 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
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
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2023
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale.
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
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Mapping Large-Scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few-Shot Learning.
Remote. Sens., 2022
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space.
CoRR, 2022
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.
Proceedings of the 2022 SIAM International Conference on Data Mining, 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
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022
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
Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Proceedings of the IEEE International Conference on Big Data, 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
2021
IEEE Trans. Knowl. Data Eng., 2021
ACM Trans. Intell. Syst. Technol., 2021
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
Trans. Data Sci., 2021
Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery.
Remote. Sens., 2021
MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
Comput. Syst. Sci. Eng., 2021
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics.
CoRR, 2021
CoRR, 2021
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
Proceedings of the IEEE International Conference on Data Mining, 2021
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.
Proceedings of the IEEE International Conference on Data Mining, 2021
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations.
Remote. Sens., 2020
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning.
CoRR, 2020
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR, 2020
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Operator-based preconditioning for the 2-D 3-T energy equations in radiation hydrodynamics simulations.
J. Comput. Phys., 2019
Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning.
CoRR, 2019
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Spatio-temporal classification at multiple resolutions using multi-view regularization.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.
CoRR, 2018
Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
2017
Numerical Methods and Comparison for the Dirac Equation in the Nonrelativistic Limit Regime.
J. Sci. Comput., 2017
J. Comput. Phys., 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
A Uniformly Accurate Multiscale Time Integrator Pseudospectral Method for the Dirac Equation in the Nonrelativistic Limit Regime.
SIAM J. Numer. Anal., 2016
BMC Medical Informatics Decis. Mak., 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Context-learning based electroencephalogram analysis for epileptic seizure detection.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Bone disease prediction and phenotype discovery using feature representation over electronic health records.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
2013
Proceedings of the 2013 IEEE Global Communications Conference, 2013
2012
Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012
2011
Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011