X. Jia

发表

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

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2018, SDM.

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

Anuj Karpatne, Xiaowei Jia, Vipin Kumar, 2020, Trans. Data Sci..

Predicting lake surface water phosphorus dynamics using process-guided machine learning

X. Jia, A. Karpatne, J. Read, 2020, Ecological Modelling.

Process‐Guided Deep Learning Predictions of Lake Water Temperature

Anuj Karpatne, Xiaowei Jia, Jordan S. Read, 2019, Water Resources Research.

Technical Reports Cover

Leah H. Samberg, X. Jia, Vipin Kumar, 2016 .

Automated Plantation Mapping in Indonesia Using Remote Sensing Data

Anuj Karpatne, Vipin Kumar, Xiaowei Jia, 2017 .

Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection

Anuj Karpatne, Xiaowei Jia, Ankush Khandelwal, 2019, SDM.

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

Anuj Karpatne, Vipin Kumar, Xiaowei Jia, 2019, SDM.

Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks

X. Jia, J. Zwart, Shengyu Chen, 2022, KDD.

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)

X. Jia, Xun Zhou, Rahul Ghosh, 2022, IJCAI.

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology

X. Jia, C. Duffy, A. Khandelwal, 2021, KDD.

Near-term forecasts of stream temperature using process-guided deep learning and data assimilation

X. Jia, J. Read, J. Zwart, 2021 .

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

X. Jia, M. Steinbach, Jia Li, 2022, 2211.08573.

Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

X. Jia, J. Read, J. Zwart, 2022, JAWRA Journal of the American Water Resources Association.

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability

X. Jia, Licheng Liu, Zhenong Jin, 2022, ArXiv.

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

X. Jia, Chenxi Lin, Zhenong Jin, 2023, Remote Sensing of Environment.

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

X. Jia, J. Willard, M. Steinbach, 2020, ACM Comput. Surv..

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

Vipin Kumar, Michael Steinbach, Xiaowei Jia, 2020, ArXiv.

Learning large-scale plantation mapping from imperfect annotators

Vipin Kumar, Xiaowei Jia, Ankush Khandelwal, 2016, 2016 IEEE International Conference on Big Data (Big Data).

A comprehensive investigation of LSTM-CNN deep learning model for fast detection of combustion instability

Zhang Feifei, Xiaowei Jia, Gaofeng Wang, 2021 .

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns

Vipin Kumar, Xiaowei Jia, Varun Mithal, 2018, SDM.

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

X. Jia, J. Willard, A. Karpatne, 2020, Trans. Data Sci..

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19

X. Jia, Yanhua Li, Yiqun Xie, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

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

X. Jia, Yanshan Wang, Can Zheng, 2022, 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI).

Multi-task deep learning of daily streamflow and water temperature

X. Jia, J. Read, J. Zwart, 2021 .

Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning pdf

Xiaowei Jia, Jared D. Willard, Jordan S. Read, 2020, Water Resources Research.

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping

Xiaowei Jia, Chenxi Lin, Rahul Ghosh, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Harnessing heterogeneity in space with statistically guided meta-learning

X. Jia, Rahul Ghosh, Yiqun Xie, 2023, Knowledge and Information Systems.

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity

X. Jia, Xun Zhou, Rahul Ghosh, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability

X. Jia, Licheng Liu, Zhenong Jin, 2022, arXiv.org.

Sailing in the location-based fairness-bias sphere

X. Jia, Xun Zhou, Rahul Ghosh, 2022, SIGSPATIAL/GIS.

Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds

X. Jia, Yiqun Xie, Weiye Chen, 2022, SIGSPATIAL/GIS.

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

X. Jia, Rahul Ghosh, S. Skakun, 2022, AAAI.

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets

Jia Yu, Rahul Ghosh, Yiqun Xie, 2021, SIGSPATIAL/GIS.

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems

X. Jia, J. Read, J. Zwart, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Entity Aware Modelling: A Survey

X. Jia, A. Khandelwal, Haoyu Yang, 2023, ArXiv.

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels

Ankush Khandelwal, Rahul Ghosh, Praveen Ravirathinam, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Bringing automated, remote‐sensed, machine learning methods to monitoring crop landscapes at scale

Ankush Khandelwal, Vipin Kumar, David J. Mulla, 2019, Agricultural Economics.

Land Cover Mapping in Limited Labels Scenario: A Survey pdf

Xiaowei Jia, Rahul Ghosh, Vipin Kumar, 2021, ArXiv.

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

Taylor T. Johnson, X. Jia, J. Zwart, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

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

Michael S. Steinbach, Jordan S. Read, Alison P. Appling, 2021, SDM.

KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N2O Emission using Data from Mesocosm Experiments

X. Jia, Vipin Kumar, Shaowei Wu, 2021 .

KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N₂O emission using data from mesocosm experiments

X. Jia, K. Guan, Licheng Liu, 2022, Geoscientific Model Development.

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

Vipin Kumar, Xiaowei Jia, Ankush Khandelwal, 2019, ArXiv.

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

Ankush Khandelwal, Rahul Ghosh, Xiaowei Jia, 2021, ArXiv.

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?

Vipin Kumar, Sheng Li, Xiaowei Jia, 2019, KDD.

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

X. Jia, Rahul Ghosh, Kshitij Tayal, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Discovery of Shifting Patterns in Sequence Classification pdf

Anuj Karpatne, Vipin Kumar, Xiaowei Jia, 2017, ArXiv.

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks

X. Jia, J. Read, J. Zwart, 2020, SDM.

Global River Monitoring Using Semantic Fusion Networks

Kebin Jia, Ankush Khandelwal, Vipin Kumar, 2020 .

Incremental Dual-memory LSTM in Land Cover Prediction

Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, 2017, KDD.

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

X. Jia, Yanhua Li, Yiqun Xie, 2023, Knowledge and Information Systems.

Plantation Mapping in Southeast Asia

Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, 2019, Front. Big Data.

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes pdf

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2018, ArXiv.

Incorporating Causal Effects into Deep Learning Predictions on EHR Data

György J. Simon, X. Jia, M. Steinbach, 2020, 2011.05466.

Identification of Weather Phenomena Based on Lightweight Convolutional Neural Networks

Jia Kebin, Yaoyao Li, Congcong Wang, 2020 .

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

Xiaowei Jia, Vipin Kumar, Rahul Ghosh, 2020, SDM.

Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery

X. Jia, Yiqun Xie, Zhili Li, 2023, IJCAI.

Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery

X. Jia, S. Skakun, Caroline Delaire, 2023, AAAI.

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics

X. Jia, S. Skakun, Yiqun Xie, 2023, AAAI Conference on Artificial Intelligence.

CGS: Coupled Growth and Survival Model with Cohort Fairness

X. Jia, B. Letcher, J. Fair, 2023, International Joint Conference on Artificial Intelligence.

Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations

Scott D. Hamshaw, X. Jia, J. Read, 2023, Frontiers in Water.

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

X. Jia, J. Willard, M. Steinbach, 2022, SDM.

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

Chenxi Lin, Rahul Ghosh, Xiaowei Jia, 2021, SIGSPATIAL/GIS.

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

X. Jia, J. Read, J. Zwart, 2023, Knowledge and Information Systems.

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction

X. Jia, Licheng Liu, Zhenong Jin, 2023, AAAI.

Physics Guided Machine Learning Methods for Hydrology pdf

Ankush Khandelwal, Vipin Kumar, Xiang Li, 2020, ArXiv.

Regionalization in a Global Hydrologic Deep Learning Model: From Physical Descriptors to Random Vectors

X. Jia, M. Steinbach, C. Duffy, 2022, Water Resources Research.

Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture

X. Jia, A. Appling, J. Sadler, 2023, Water Resources Research.

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation

Jacob Zwart, Alison Appling, Samantha Oliver, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Teaching deep learning causal effects improves predictive performance pdf

Vipin Kumar, György J. Simon, Jia Li, 2020, ArXiv.

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

X. Jia, Da Yan, Yiqun Xie, 2022, KDD.

Personalized Image Retrieval with Sparse Graph Representation Learning

Vipin Kumar, Ajinkya Kale, Zhe L. Lin, 2020, KDD.

Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations

Vipin Kumar, Ankush Khandelwal, Kimberly Carlson, 2020, Remote. Sens..

Prediction of Acoustic Pressure of the Annular Combustor Using Stacked Long Short-Term Memory Network

X. Jia, Gaofeng Wang, Yuanqi Fang, 2022, The Physics of Fluids.

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

X. Jia, Rahul Ghosh, Kshitij Tayal, 2023, 2309.10291.

Weakly Supervised Classification Using Group-Level Labels pdf

Rahul Ghosh, Guruprasad Nayak, Xiaowei Jia, 2021, ArXiv.

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

X. Jia, J. Willard, C. Varadharajan, 2023, ArXiv.

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature

X. Jia, S. Oliver, Haoyu Yang, 2022, SDM.

A deep transfer learning framework for mapping high spatiotemporal resolution LAI

X. Jia, Zhenong Jin, Yanghui Kang, 2023, ISPRS Journal of Photogrammetry and Remote Sensing.

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

X. Jia, Abhishek Gupta, Weida Zhong, 2021, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

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

X. Jia, Da Yan, Yiqun Xie, 2022, KDD.

Integrating Physics-Based Modeling with Machine Learning: A Survey

X. Jia, J. Willard, M. Steinbach, 2020, ArXiv.

Knowledge-guided Machine Learning: Current Trends and Future Prospects

X. Jia, A. Karpatne, Vipin Kumar, 2024, ArXiv.

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

X. Jia, A. Khandelwal, Rahul Ghosh, 2024, SDM.

Regularized Graph Convolutional Networks for Short Text Classification

Vipin Kumar, Karthik Subbian, Saurabh Agarwal, 2020, COLING.