Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach. - Jinchao Feng; Xiaowei Jia; Kebin Jia; Chenghu Qin; Jie Tian 001 (EMBC, 2011)

A GPU-Based DRR Generation Method Using Cubic Window. - Xiaowei Jia; Wei Wei; Kebin Jia (IIH-MSP, 2012)

Towards efficient vacant taxis Cruising Guidance. - Yunfei Hou; Xu Li 009; Yunjie Zhao; Xiaowei Jia; Adel W. Sadek; Kevin F. Hulme; Chunming Qiao (GLOBECOM, 2013)

A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals. - Xiaowei Jia; Kang Li 003; Xiaoyi Li; Aidong Zhang (BIBE, 2014)

Analysis on Community Variational Trend in Dynamic Networks. - Xiaowei Jia; Nan Du 001; Jing Gao 004; Aidong Zhang (CIKM, 2014)

Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks. - Nan Du 001; Jing Gao 004; Liang Ge; Vishrawas Gopalakrishnan; Xiaowei Jia; Kang Li 003; Aidong Zhang (ASONAM, 2015)

Bone disease prediction and phenotype discovery using feature representation over electronic health records. - Hui Li; Xiaoyi Li; Xiaowei Jia; Murali Ramanathan; Aidong Zhang (BCB, 2015)

Context-learning based electroencephalogram analysis for epileptic seizure detection. - Guangxu Xun; Xiaowei Jia; Aidong Zhang (BIBM, 2015)

Multi-modal learning for video recommendation based on mobile application usage. - Xiaowei Jia; Aosen Wang; Xiaoyi Li; Guangxu Xun; Wenyao Xu; Aidong Zhang (IEEE BigData, 2015)

Improving EEG feature learning via synchronized facial video. - Xiaoyi Li; Xiaowei Jia; Guangxu Xun; Aidong Zhang (IEEE BigData, 2015)

DRN: Bringing Greedy Layer-Wise Training into Time Dimension. - Xiaoyi Li; Xiaowei Jia; Hui Li; Houping Xiao; Jing Gao 004; Aidong Zhang (ICDM, 2015)

Tracking Temporal Community Strength in Dynamic Networks. - Nan Du 001; Xiaowei Jia; Jing Gao 004; Vishrawas Gopalakrishnan; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2015)

Influence based analysis of community consistency in dynamic networks. - Xiaowei Jia; Xiaoyi Li; Nan Du 001; Yuan Zhang 028; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (ASONAM, 2016)

Collaborative restricted Boltzmann machine for social event recommendation. - Xiaowei Jia; Xiaoyi Li; Kang Li 003; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (ASONAM, 2016)

Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application. - Xiaowei Jia; Xi C. Chen; Anuj Karpatne; Vipin Kumar 001 (IEEE BigData, 2016)

Learning large-scale plantation mapping from imperfect annotators. - Xiaowei Jia; Ankush Khandelwal; James Gerber; Kimberly Carlson; Paul C. West; Vipin Kumar 001 (IEEE BigData, 2016)

Detecting epileptic seizures with electroencephalogram via a context-learning model. - Guangxu Xun; Xiaowei Jia; Aidong Zhang (BMC Medical Informatics Decis. Mak., 2016)

A Uniformly Accurate Multiscale Time Integrator Pseudospectral Method for the Dirac Equation in the Nonrelativistic Limit Regime. - Weizhu Bao; Yongyong Cai; Xiaowei Jia; Qinglin Tang (SIAM J. Numer. Anal., 2016)

Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands. - Xiaowei Jia; Yifan Hu; Ankush Khandelwal; Anuj Karpatne; Vipin Kumar 001 (IEEE BigData, 2017)

Incremental Dual-memory LSTM in Land Cover Prediction. - Xiaowei Jia; Ankush Khandelwal; Guruprasad Nayak; James Gerber; Kimberly Carlson; Paul C. West; Vipin Kumar 001 (KDD, 2017)

Predict Land Covers with Transition Modeling and Incremental Learning. - Xiaowei Jia; Ankush Khandelwal; Guruprasad Nayak; James Gerber; Kimberly Carlson; Paul C. West; Vipin Kumar 001 (SDM, 2017)

Discovery of Shifting Patterns in Sequence Classification. - Xiaowei Jia; Ankush Khandelwal; Anuj Karpatne; Vipin Kumar 001 (CoRR, 2017)

Anderson acceleration and application to the three-temperature energy equations. - Hengbin An; Xiaowei Jia; Homer F. Walker (J. Comput. Phys., 2017)

Numerical Methods and Comparison for the Dirac Equation in the Nonrelativistic Limit Regime. - Weizhu Bao; Yongyong Cai; Xiaowei Jia; Qinglin Tang (J. Sci. Comput., 2017)

A Survey on Context Learning. - Guangxu Xun; Xiaowei Jia; Vishrawas Gopalakrishnan; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2017)

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns. - Guruprasad Nayak; Varun Mithal; Xiaowei Jia; Vipin Kumar 001 (SDM, 2018)

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. - Xiaowei Jia; Anuj Karpatne; Jared Willard; Michael S. Steinbach; Jordan S. Read; Paul C. Hanson; Hilary A. Dugan; Vipin Kumar 001 (CoRR, 2018)

Spatio-temporal classification at multiple resolutions using multi-view regularization. - Guruprasad Nayak; Rahul Ghosh; Xiaowei Jia; Varun Mithal; Vipin Kumar 001 (IEEE BigData, 2019)

Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. - Xiaowei Jia; Mengdie Wang; Ankush Khandelwal; Anuj Karpatne; Vipin Kumar 001 (IJCAI, 2019)

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? - Xiaowei Jia; Sheng Li 001; Handong Zhao; Sungchul Kim; Vipin Kumar 001 (KDD, 2019)

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. - Xiaowei Jia; Sheng Li 001; Ankush Khandelwal; Guruprasad Nayak; Anuj Karpatne; Vipin Kumar 001 (SDM, 2019)

Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. - Xiaowei Jia; Guruprasad Nayak; Ankush Khandelwal; Anuj Karpatne; Vipin Kumar 001 (SDM, 2019)

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob Zwart; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2019)

Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning. - Xiaowei Jia; Ankush Khandelwal; Vipin Kumar 001 (CoRR, 2019)

Plantation Mapping in Southeast Asia. - Xiaowei Jia; Ankush Khandelwal; Kimberly Carlson; James Gerber; Paul C. West; Vipin Kumar 001 (Frontiers Big Data, 2019)

Operator-based preconditioning for the 2-D 3-T energy equations in radiation hydrodynamics simulations. - Hengbin An; Zeyao Mo; Xiaowen Xu; Xiaowei Jia (J. Comput. Phys., 2019)

Regularized Graph Convolutional Networks for Short Text Classification. - Kshitij Tayal; Nikhil Rao 001; Saurabh Agarwal; Xiaowei Jia; Karthik Subbian; Vipin Kumar 001 (COLING (Industry), 2020)

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (IGARSS, 2020)

Personalized Image Retrieval with Sparse Graph Representation Learning. - Xiaowei Jia; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Vipin Kumar 001 (KDD, 2020)

Learning with Small Data. - Huaxiu Yao; Xiaowei Jia; Vipin Kumar 001; Zhenhui Li (KDD, 2020)

Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. - Guruprasad Nayak; Rahul Ghosh; Xiaowei Jia; Varun Mithal; Vipin Kumar 001 (SDM, 2020)

Integrating Physics-Based Modeling with Machine Learning: A Survey. - Jared Willard; Xiaowei Jia; Shaoming Xu; Michael S. Steinbach; Vipin Kumar 001 (CoRR, 2020)

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. - Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Steven Markstrom; Jared Willard; Shaoming Xu; Michael S. Steinbach; Jordan S. Read; Vipin Kumar 001 (CoRR, 2020)

Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. - Jared D. Willard; Jordan S. Read; Alison P. Appling; Samantha K. Oliver; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2020)

Teaching deep learning causal effects improves predictive performance. - Jia Li; Xiaowei Jia; Haoyu Yang; Vipin Kumar 001; Michael S. Steinbach; György J. Simon (CoRR, 2020)

Physics Guided Machine Learning Methods for Hydrology. - Ankush Khandelwal; Shaoming Xu; Xiang Li; Xiaowei Jia; Michael S. Steinbach; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (CoRR, 2020)

Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations. - Xiaowei Jia; Ankush Khandelwal; Kimberly Carlson; James Gerber; Paul C. West; Leah H. Samberg; Vipin Kumar 001 (Remote. Sens., 2020)

Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. - Shengyu Chen; Shervin Sammak; Peyman Givi; Joseph P. Yurko; Xiaowei Jia (IEEE BigData, 2021)

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. - Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia; Ankush Khandelwal; David J. Mulla; Vipin Kumar 001 (IEEE BigData, 2021)

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. - Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia; Chenxi Lin; Zhenong Jin; Vipin Kumar 001 (IEEE BigData, 2021)

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. - Yiqun Xie; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Jia Yu 020; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2021)

Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. - Weida Zhong; Qiuling Suo; Xiaowei Jia; Aidong Zhang; Lu Su 001 (ICDCS, 2021)

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. - Tianshu Bao; Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Taylor T. Johnson (ICDM, 2021)

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. - Shengyu Chen; Alison P. Appling; Samantha Oliver; Hayley Corson-Dosch; Jordan S. Read; Jeffrey M. Sadler; Jacob Zwart; Xiaowei Jia (ICDM, 2021)

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. - Xiaowei Jia; Yiqun Xie; Sheng Li 001; Shengyu Chen; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (ICDM, 2021)

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (ICDM, 2021)

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. - Xiaowei Jia; Beiyu Lin; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (SDM, 2021)

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. - Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Steven Markstrom; Jared Willard; Shaoming Xu; Michael S. Steinbach; Jordan S. Read; Vipin Kumar 001 (SDM, 2021)

Land Cover Mapping in Limited Labels Scenario: A Survey. - Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2021)

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. - Rahul Ghosh; Xiaowei Jia; Chenxi Lin; Zhenong Jin; Vipin Kumar 001 (CoRR, 2021)

Weakly Supervised Classification Using Group-Level Labels. - Guruprasad Nayak; Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2021)

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. - Rahul Ghosh; Arvind Renganathan; Ankush Khandelwal; Xiaowei Jia; Xiang Li; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2021)

An Effective CU Depth Decision Method for HEVC Using Machine Learning. - Xuan Sun; Pengyu Liu 001; Xiaowei Jia; Kebin Jia; Shanji Chen; Yueying Wu 003 (Comput. Syst. Sci. Eng., 2021)

MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation. - Weida Zhong; Qiuling Suo; Abhishek Gupta; Xiaowei Jia; Chunming Qiao; Lu Su (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery. - Zhihao Wei; Kebin Jia; Pengyu Liu 001; Xiaowei Jia; Yiqun Xie; Zhe Jiang 001 (Remote. Sens., 2021)

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (Trans. Data Sci., 2021)

Significant DBSCAN+: Statistically Robust Density-based Clustering. - Yiqun Xie; Xiaowei Jia; Shashi Shekhar 001; Han Bao 003; Xun Zhou 001 (ACM Trans. Intell. Syst. Technol., 2021)

Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. - Xiaowei Jia; Xiaoyi Li; Nan Du 001; Yuan Zhang 028; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2021)

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. - Yiqun Xie; Erhu He; Xiaowei Jia; Weiye Chen; Sergii Skakun; Han Bao 003; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (AAAI, 2022)

VIMTS: Variational-based Imputation for Multi-modal Time Series. - Xiaohu Zhao; Kebin Jia; Benjamin H. Letcher; Jennifer H. Fair; Yiqun Xie; Xiaowei Jia (IEEE Big Data, 2022)

Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds. - Weiye Chen; Zhihao Wang; Zhili Li; Yiqun Xie; Xiaowei Jia; Anlin Li (SIGSPATIAL/GIS, 2022)

Clustering augmented self-supervised learning: an application to land cover mapping. - Rahul Ghosh; Xiaowei Jia; Leikun Yin; Chenxi Lin; Zhenong Jin; Vipin Kumar 001 (SIGSPATIAL/GIS, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

Calibration of Multi-dimensional Air Pressure Sensor Based on LSTM. - Tao Wang; Pengyu Liu 001; Wenjing Zhang; Xiaowei Jia; Yanming Wang; Jiachun Yang (ICAIS (3), 2022)

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (ICDM, 2022)

Meta-Transfer Learning: An application to Streamflow modeling in River-streams. - Rahul Ghosh; Bangyan Li; Kshitij Tayal; Vipin Kumar 001; Xiaowei Jia (ICDM, 2022)

Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. - Can Zheng; Yanshan Wang; Xiaowei Jia (ICHI, 2022)

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (IJCAI, 2022)

Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. - Shengyu Chen; Jacob A. Zwart; Xiaowei Jia (KDD, 2022)

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. - Rahul Ghosh; Arvind Renganathan; Kshitij Tayal; Xiang Li; Ankush Khandelwal; Xiaowei Jia; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (KDD, 2022)

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. - Wenchong He; Zhe Jiang 001; Marcus Kriby; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (KDD, 2022)

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. - Xiaowei Jia; Shengyu Chen; Yiqun Xie; Haoyu Yang; Alison P. Appling; Samantha Oliver; Zhe Jiang 001 (SDM, 2022)

Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. - Kshitij Tayal; Xiaowei Jia; Rahul Ghosh; Jared Willard; Jordan S. Read; Vipin Kumar 001 (SDM, 2022)

Physics guided neural networks for spatio-temporal super-resolution of turbulent flows. - Tianshu Bao; Shengyu Chen; Taylor T. Johnson; Peyman Givi; Shervin Sammak; Xiaowei Jia (UAI, 2022)

Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. - Jia Li; Xiang Li; Xiaowei Jia; Michael S. Steinbach; Vipin Kumar 001 (CoRR, 2022)

Error Calibration Model of Air Pressure Sensor Based on DF-RBF. - Pengyu Liu 001; Wenjing Zhang; Tao Wang; Xiaowei Jia; Ying Ma; Kebin Jia; Yanming Wang (Intell. Autom. Soft Comput., 2022)

Mapping Large-Scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few-Shot Learning. - Zhihao Wei; Kebin Jia; Xiaowei Jia; Pengyu Liu 001; Ying Ma; Ting Chen; Guilian Feng (Remote. Sens., 2022)

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction. - Erhu He; Yiqun Xie; Licheng Liu; Weiye Chen; Zhenong Jin; Xiaowei Jia (AAAI, 2023)

Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery. - Zhili Li; Yiqun Xie; Xiaowei Jia; Kara Stuart; Caroline Delaire; Sergii Skakun (AAAI, 2023)

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. - Zhexiong Liu; Licheng Liu; Yiqun Xie; Zhenong Jin; Xiaowei Jia (AAAI, 2023)

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. - Yiqun Xie; Zhili Li; Han Bao 003; Xiaowei Jia; Dongkuan Xu; Xun Zhou 001; Sergii Skakun (AAAI, 2023)

Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. - Shengyu Chen; Nasrin Kalanat; Simon N. Topp; Jeffrey M. Sadler; Yiqun Xie; Zhe Jiang 001; Xiaowei Jia (CIKM, 2023)

High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale. - Zhihao Wang; Yiqun Xie; Xiaowei Jia; Lei Ma; George C. Hurtt (SIGSPATIAL/GIS, 2023)

Geo-Foundation Models: Reality, Gaps and Opportunities. - Yiqun Xie; Zhaonan Wang 001; Gengchen Mai; Yanhua Li; Xiaowei Jia; Song Gao 001; Shaowen Wang 001 (SIGSPATIAL/GIS, 2023)

Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. - Mingzhi Hu; Zhuoyun Zhong; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (ICDM, 2023)

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. - Kshitij Tayal; Arvind Renganathan; Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (ICDM, 2023)

CGS: Coupled Growth and Survival Model with Cohort Fairness. - Erhu He; Yue Wan; Benjamin H. Letcher; Jennifer H. Fair; Yiqun Xie; Xiaowei Jia (IJCAI, 2023)

Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery. - Zhili Li; Yiqun Xie; Xiaowei Jia (IJCAI, 2023)

A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. - Zhe Jiang 001; Yupu Zhang; Saugat Adhikari; Da Yan 001; Arpan Man Sainju; Xiaowei Jia; Yiqun Xie (SDM, 2023)

Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. - Shengyu Chen; Yiqun Xie; Xiang Li; Xu Liang; Xiaowei Jia (SDM, 2023)

Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. - Xiaowei Jia; Shengyu Chen; Can Zheng; Yiqun Xie; Zhe Jiang 001; Nasrin Kalanat (SDM, 2023)

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. - Shaoming Xu; Ankush Khandelwal; Xiang Li; Xiaowei Jia; Licheng Liu; Jared Willard; Rahul Ghosh; Kelly Cutler; Michael S. Steinbach; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (SDM, 2023)

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. - Leikun Yin; Rahul Ghosh; Chenxi Lin; David Hale; Christoph Weigl; James Obarowski; Junxiong Zhou 001; Jessica Till; Xiaowei Jia; Troy Mao; Vipin Kumar 001; Zhenong Jin (CoRR, 2023)

Entity Aware Modelling: A Survey. - Rahul Ghosh; Haoyu Yang; Ankush Khandelwal; Erhu He; Arvind Renganathan; Somya Sharma; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2023)

Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement. - Shengyu Chen; Tianshu Bao; Peyman Givi; Can Zheng; Xiaowei Jia (CoRR, 2023)

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation. - Shengyu Chen; Shihang Feng; Yao Huang; Zhou Lei; Xiaowei Jia; Youzuo Lin; Estaben Rougier (CoRR, 2023)

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources. - Jared D. Willard; Charuleka Varadharajan; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2023)

From molecules to scaffolds to functional groups: building context-dependent molecular representation via multi-channel learning. - Yue Wan; Jialu Wu; Tingjun Hou; Chang-Yu Hsieh; Xiaowei Jia (CoRR, 2023)

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. - Shiyuan Luo; Juntong Ni; Shengyu Chen; Runlong Yu; Yiqun Xie; Licheng Liu; Zhenong Jin; Huaxiu Yao; Xiaowei Jia (CoRR, 2023)

Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet. - Tianyu Liu; Pengyu Liu 001; Xiaowei Jia; Shanji Chen; Ying Ma; Qian Gao (Comput. Syst. Sci. Eng., 2023)

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. - Jared Willard; Xiaowei Jia; Shaoming Xu; Michael S. Steinbach; Vipin Kumar 001 (ACM Comput. Surv., 2023)

Physics-guided machine learning from simulated data with different physical parameters. - Shengyu Chen; Nasrin Kalanat; Yiqun Xie; Sheng Li 001; Jacob A. Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha K. Oliver; Jordan S. Read; Xiaowei Jia (Knowl. Inf. Syst., 2023)

A physics-based strategy for choosing initial iterate for solving drift-diffusion equations. - Xiaowei Jia; Hengbin An; Yi Hu; Zeyao Mo (Comput. Math. Appl., 2023)

Harnessing heterogeneity in space with statistically guided meta-learning. - Yiqun Xie; Weiye Chen; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (Knowl. Inf. Syst., 2023)

STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (Knowl. Inf. Syst., 2023)

Reconstruction of Continuous High-Resolution Sea Surface Temperature Data Using Time-Aware Implicit Neural Representation. - Yang Wang 170; Hassan A. Karimi; Xiaowei Jia (Remote. Sens., 2023)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness. - Weiye Chen; Yiqun Xie; Xiaowei Jia; Erhu He; Han Bao 003; Bang An 002; Xun Zhou 001 (AAAI, 2024)

Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. - Erhu He; Yiqun Xie; Alexander Sun; Jacob Zwart; Jie Yang 070; Zhenong Jin; Yang Wang; Hassan A. Karimi; Xiaowei Jia (AAAI, 2024)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. - Zhihao Wang; Yiqun Xie; Zhili Li; Xiaowei Jia; Zhe Jiang 001; Aolin Jia; Shuo Xu 002 (AAAI, 2024)

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001; Shigang Chen; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (AAAI, 2024)

Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles. - Shihong Ling; Yue Wan; Xiaowei Jia; Na Du (HRI, 2024)

ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. - Kshitij Tayal; Arvind Renganathan; Xiaowei Jia; Vipin Kumar 001; Dan Lu (ICDM, 2024)

Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations. - Runlong Yu; Chonghao Qiu; Robert Ladwig; Paul C. Hanson; Yiqun Xie; Yanhua Li; Xiaowei Jia (ICDM, 2024)

Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction. - Tianshu Bao; Taylor T. Johnson; Xiaowei Jia (IJCAI, 2024)

SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting. - Ruohan Li; Yiqun Xie; Xiaowei Jia; Dongdong Wang 001; Yanhua Li; Yingxue Zhang 002; Zhihao Wang; Zhili Li (NeurIPS, 2024)

Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes. - Runlong Yu; Robert Ladwig; Xiang Xu; Peijun Zhu; Paul C. Hanson; Yiqun Xie; Xiaowei Jia (PPSN (4), 2024)

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. - Erhu He; Yiqun Xie; Licheng Liu; Zhenong Jin; Dajun Zhang; Xiaowei Jia (SDM, 2024)

Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. - Mingzhi Hu; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (SDM, 2024)

Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. - Nasrin Kalanat; Yiqun Xie; Yanhua Li; Xiaowei Jia (SDM, 2024)

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. - Praveen Ravirathinam; Rahul Ghosh; Ankush Khandelwal; Xiaowei Jia; David J. Mulla; Vipin Kumar 001 (SDM, 2024)

Phenotyping calcification in vascular tissues using artificial intelligence. - Mehdi Ramezanpour; Anne M. Robertson; Yasutaka Tobe; Xiaowei Jia; Juan R. Cebral (CoRR, 2024)

Knowledge-guided Machine Learning: Current Trends and Future Prospects. - Anuj Karpatne; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2024)

Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes. - Runlong Yu; Robert Ladwig; Xiang Xu; Peijun Zhu; Paul C. Hanson; Yiqun Xie; Xiaowei Jia (CoRR, 2024)

LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models. - Haoran Li 011; Junqi Liu; Zexian Wang; Shiyuan Luo; Xiaowei Jia; Huaxiu Yao (CoRR, 2024)

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery. - Yiqun Xie; Zhihao Wang; Weiye Chen; Zhili Li; Xiaowei Jia; Yanhua Li; Ruichen Wang; Kangyang Chai; Ruohan Li; Sergii Skakun (CoRR, 2024)

Physics-enhanced Neural Operator for Simulating Turbulent Transport. - Shengyu Chen; Peyman Givi; Can Zheng; Xiaowei Jia (CoRR, 2024)

Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. - Shaoming Xu; Arvind Renganathan; Ankush Khandelwal; Rahul Ghosh; Xiang Li; Licheng Liu; Kshitij Tayal; Peter Harrington; Xiaowei Jia; Zhenong Jin; John Nieber; Vipin Kumar 001 (CoRR, 2024)

Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement. - Shengyu Chen; Peyman Givi; Can Zheng; Xiaowei Jia (CoRR, 2024)

Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams. - Xiaohu Zhao; Kebin Jia; Benjamin H. Letcher; Jennifer H. Fair; Xiaowei Jia (Inf. Fusion, 2024)

Revealing an Overlooked Challenge in Class-Incremental Graph Learning. - Daiqing Qi; Handong Zhao; Xiaowei Jia; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics. - Shengyu Chen; Tianshu Bao; Peyman Givi; Can Zheng; Xiaowei Jia (ACM Trans. Intell. Syst. Technol., 2024)

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. - Erhu He; Yiqun Xie; Weiye Chen; Sergii Skakun; Han Bao 003; Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Scale Graph Learning for Anti-Sparse Downscaling. - Yingda Fan; Runlong Yu; Janet R. Barclay; Alison P. Appling; Yiming Sun 004; Yiqun Xie; Xiaowei Jia (AAAI, 2025)

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks. - Erhu He; Declan Kutscher; Yiqun Xie; Jacob Zwart; Zhe Jiang 001; Huaxiu Yao; Xiaowei Jia (AAAI, 2025)

Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science. - Runlong Yu; Chonghao Qiu; Robert Ladwig; Paul C. Hanson; Yiqun Xie; Xiaowei Jia (AAAI, 2025)

Unveiling Confirmation Bias in Chain-of-Thought Reasoning. - Yue Wan; Xiaowei Jia; Xiang Lorraine Li (ACL (Findings), 2025)

A Survey of Foundation Models for Environmental Science. - Runlong Yu; Shengyu Chen; Yiqun Xie; Xiaowei Jia (PAKDD (6), 2025)

Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. - Yiming Sun 004; Runlong Yu; Runxue Bao; Yiqun Xie; Ye Ye 002; Xiaowei Jia (SDM, 2025)

What We Talk About When We Talk About AI for Science. - Runlong Yu; Yiqun Xie; Xiaowei Jia (SDM, 2025)

Towards the next generation of Geospatial Artificial Intelligence. - Gengchen Mai; Yiqun Xie; Xiaowei Jia; Ni Lao; Jinmeng Rao; Qing Zhu; Zeping Liu; Yao-Yi Chiang; Junfeng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Detection and Correction of Crosstalk Within Channels of Long-Linear-Array Detectors. - Xiaowei Jia; Xiuju Li; Zhiwei Wang; Changpei Han (IEEE Trans. Geosci. Remote. Sens., 2025)

Deep Learning Model for ENSO Forecasting Using Multiple-Scale Spatiotemporal Information. - Yang Wang 170; Hassan A. Karimi; Xiaowei Jia (IEEE Trans. Geosci. Remote. Sens., 2025)

Towards efficient quantum algorithms for diffusion probability models. - Yunfei Wang; Ruoxi Jiang; Yingda Fan; Xiaowei Jia; Jens Eisert; Junyu Liu; Jin-Peng Liu (CoRR, 2025)

Foundation Models for Environmental Science: A Survey of Emerging Frontiers. - Runlong Yu; Shengyu Chen; Yiqun Xie; Huaxiu Yao; Jared Willard; Xiaowei Jia (CoRR, 2025)

Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling. - Qi Cheng; Licheng Liu; Yao Zhang; Mu Hong; Shiyuan Luo; Zhenong Jin; Yiqun Xie; Xiaowei Jia (CoRR, 2025)

LLM-based Evaluation Policy Extraction for Ecological Modeling. - Qi Cheng; Licheng Liu; Qing Zhu; Runlong Yu; Zhenong Jin; Yiqun Xie; Xiaowei Jia (CoRR, 2025)

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. - Yiming Sun 004; Shuo Chen; Shengyu Chen; Chonghao Qiu; Licheng Liu; Youmi Oh; Sparkle L. Malone; Gavin McNicol; Qianlai Zhuang; Chris Smith; Yiqun Xie; Xiaowei Jia (CoRR, 2025)

DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios. - Shihong Ling; Yue Wan; Xiaowei Jia; Na Du (CoRR, 2025)

Environmental Computing as a Branch of Science. - Runlong Yu; Yiqun Xie; Xiaowei Jia (Commun. ACM, 2025)

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models. - Lingyao Li; Runlong Yu; Qikai Hu; Bowei Li; Min Deng; Yang Zhou; Xiaowei Jia (CoRR, 2025)

RAG for Geoscience: What We Expect, Gaps and Opportunities. - Runlong Yu; Shiyuan Luo; Rahul Ghosh; Lingyao Li; Yiqun Xie; Xiaowei Jia (CoRR, 2025)