Xiaowei Jia

CoRR, 2024

Phenotyping calcification in vascular tissues using artificial intelligence.

[BibT_eX]

[DOI]

CoRR, 2024

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Only Attending What Matter within Trajectories - <i>Memory-Efficient Trajectory Attention</i>.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction.

[BibT_eX]

[DOI]

Tianshu Bao

Taylor T. Johnson

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Referee-Meta-Learning for Fast Adaptation of Locational Fairness.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yang Wang

Hassan A. Karimi

Remote. Sens., December, 2023

STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., November, 2023

Harnessing heterogeneity in space with statistically guided meta-learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., June, 2023

A physics-based strategy for choosing initial iterate for solving drift-diffusion equations.

[BibT_eX]

[DOI]

Comput. Math. Appl., February, 2023

Physics-guided machine learning from simulated data with different physical parameters.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2023

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet.

[BibT_eX]

[DOI]

Comput. Syst. Sci. Eng., 2023

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.

[BibT_eX]

[DOI]

CoRR, 2023

From molecules to scaffolds to functional groups: building context-dependent molecular representation via multi-channel learning.

[BibT_eX]

[DOI]

CoRR, 2023

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources.

[BibT_eX]

[DOI]

Jared D. Willard

Charuleka Varadharajan

CoRR, 2023

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.

[BibT_eX]

[DOI]

CoRR, 2023

Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.

[BibT_eX]

[DOI]

CoRR, 2023

Entity Aware Modelling: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.

[BibT_eX]

[DOI]

CoRR, 2023

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhili Li

Yiqun Xie

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CGS: Coupled Growth and Survival Model with Cohort Fairness.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Geo-Foundation Models: Reality, Gaps and Opportunities.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space.

[BibT_eX]

[DOI]

CoRR, 2022

Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Shengyu Chen

Jacob A. Zwart

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).

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes.

[BibT_eX]

[DOI]

Can Zheng

Yanshan Wang

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Meta-Transfer Learning: An application to Streamflow modeling in River-streams.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Calibration of Multi-dimensional Air Pressure Sensor Based on LSTM.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

Sailing in the location-based fairness-bias sphere.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Clustering augmented self-supervised learning: an application to land cover mapping.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

VIMTS: Variational-based Imputation for Multi-modal Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Significant DBSCAN+: Statistically Robust Density-based Clustering.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2021

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.

[BibT_eX]

[DOI]

Trans. Data Sci., 2021

Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery.

[BibT_eX]

[DOI]

Remote. Sens., 2021

MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

An Effective CU Depth Decision Method for HEVC Using Machine Learning.

[BibT_eX]

[DOI]

Comput. Syst. Sci. Eng., 2021

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics.

[BibT_eX]

[DOI]

CoRR, 2021

Weakly Supervised Classification Using Group-Level Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping.

[BibT_eX]

[DOI]

CoRR, 2021

Land Cover Mapping in Limited Labels Scenario: A Survey.

[BibT_eX]

[DOI]

Rahul Ghosh

CoRR, 2021

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Physics Guided Machine Learning Methods for Hydrology.

[BibT_eX]

[DOI]

CoRR, 2020

Teaching deep learning causal effects improves predictive performance.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Integrating Physics-Based Modeling with Machine Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2020

Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Learning with Small Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Personalized Image Retrieval with Sparse Graph Representation Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Regularized Graph Convolutional Networks for Short Text Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Comput. Phys., 2019

Plantation Mapping in Southeast Asia.

[BibT_eX]

[DOI]

Frontiers Big Data, 2019

Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning.

[BibT_eX]

[DOI]

Ankush Khandelwal

CoRR, 2019

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Spatio-temporal classification at multiple resolutions using multi-view regularization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017

A Survey on Context Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Numerical Methods and Comparison for the Dirac Equation in the Nonrelativistic Limit Regime.

[BibT_eX]

[DOI]

J. Sci. Comput., 2017

Anderson acceleration and application to the three-temperature energy equations.

[BibT_eX]

[DOI]

Hengbin An

Homer F. Walker

J. Comput. Phys., 2017

Discovery of Shifting Patterns in Sequence Classification.

[BibT_eX]

[DOI]

CoRR, 2017

Predict Land Covers with Transition Modeling and Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Incremental Dual-memory LSTM in Land Cover Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2016

Detecting epileptic seizures with electroencephalogram via a context-learning model.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2016

Learning large-scale plantation mapping from imperfect annotators.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Collaborative restricted Boltzmann machine for social event recommendation.

[BibT_eX]

[DOI]

Xiaoyi Li

Kang Li

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Influence based analysis of community consistency in dynamic networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Tracking Temporal Community Strength in Dynamic Networks.

[BibT_eX]

[DOI]

Nan Du

Jing Gao

IEEE Trans. Knowl. Data Eng., 2015

DRN: Bringing Greedy Layer-Wise Training into Time Dimension.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Improving EEG feature learning via synchronized facial video.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Multi-modal learning for video recommendation based on mobile application usage.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks.

[BibT_eX]

[DOI]

Nan Du

Jing Gao

Liang Ge

Kang Li

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Analysis on Community Variational Trend in Dynamic Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013

Towards efficient vacant taxis Cruising Guidance.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012

A GPU-Based DRR Generation Method Using Cubic Window.

[BibT_eX]

[DOI]