Xiaowei Jia

215 papers A* 42A 25B 6C 2Journal 108Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems.
CoRR
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Yiqun Xie, Xiaowei Jia
2026 A* conf
EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization.
AAAI
Ruohan Li, Zhihao Wang, Xiaowei Jia, Gengchen Mai, Lei Ma, George C. Hurtt, Quan Shen, Zhili Li, Yiqun Xie
2026 J jnl
Exploring Scientific Principles and Laws of Artificial Intelligence, World Model, and Artificial General Intelligence (AGI) in Future Intelligence Networking: Paradigms, Architectures, and Innovations.
IEEE Commun. Surv. Tutorials
Dajun Zhang, Wei Shi, Xiaowei Jia
2026 A* conf
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction.
AAAI
Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026 A* conf
Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science.
AAAI
Anuj Karpatne, Xiaowei Jia, Vipin Kumar
2026 J jnl
Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators.
CoRR
Yilong Dai, Shengyu Chen, Ziyi Wang, Xiaowei Jia, Yiqun Xie, Vipin Kumar, Runlong Yu
2026 J jnl
PEST: Physics-Enhanced Swin Transformer for 3D Turbulence Simulation.
CoRR
Yilong Dai, Shengyu Chen, Xiaowei Jia, Peyman Givi, Runlong Yu
2026 — conf
Physics-enhanced Neural Operator: An Application in Simulating Turbulent Transport.
KDD (1)
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
2026 J jnl
Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions.
CoRR
Yiming Sun, Qi Cheng, Licheng Liu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026 J jnl
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction.
CoRR
Yiming Sun, Runlong Yu, Rongchao Dong, Shuo Chen, Licheng Liu, Youmi Oh, Qianlai Zhuang, Yiqun Xie, Xiaowei Jia
2026 A* conf
When to Explain: Modeling User Need for Explanations in Real-World Autonomous Driving.
CHI
Shihong Ling, Yaohan Ding, Yu Liu, Yue Wan, Xiaowei Jia, Na Du
2026 — conf
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
KDD (1)
Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia
2025 — conf
A Survey of Foundation Models for Environmental Science.
PAKDD (6)
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 J jnl
A Survey of Foundation Models for Environmental Science.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 J jnl
A review of positioning technologies for personnel and equipment in underground mines.
Int. J. Digit. Earth
Hu Liu, Zhenghua Zhang, Jiaqi Dong, Jörg Benndorf, Xiaowei Jia, Xiaofei Wang, Xu Wu, Guoliang Chen
2025 J jnl
Accelerating MHC-II Epitope Discovery via Multi-Scale Prediction in Antigen Presentation.
CoRR
Yue Wan, Jiayi Yuan, Zhiwei Feng, Xiaowei Jia
2025 J jnl
BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography.
CoRR
Shengyu Chen, Shihang Feng, Yi Luo, Xiaowei Jia, Youzuo Lin
2025 J jnl
CVMNet: A CNN-VMamba Hybrid Network for Farmland Segmentation in VHR SAR Images.
IEEE Geosci. Remote. Sens. Lett.
Xiaowei Jia, Jianhui Zhao, Huijin Yang, Yabo Huang, Lin Wu, Jike Chang, Ning Li
2025 — conf
Compressed Diffusion: Pruning with Knowledge Distillation for Efficient Text-to-Image Generation.
ICCVW
Nasrin Kalanat, Ohiremen Dibua, Yan Kang, Yifan Gong, Xiaowei Jia
2025 J jnl
Deep Learning Model for ENSO Forecasting Using Multiple-Scale Spatiotemporal Information.
IEEE Trans. Geosci. Remote. Sens.
Yang Wang, Hassan A. Karimi, Xiaowei Jia
2025 J jnl
Detection and Correction of Crosstalk Within Channels of Long-Linear-Array Detectors.
IEEE Trans. Geosci. Remote. Sens.
Xiaowei Jia, Xiuju Li, Zhiwei Wang, Changpei Han
2025 A conf
Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems.
SDM
Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia
2025 A conf
DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios.
IROS
Shihong Ling, Yue Wan, Xiaowei Jia, Na Du
2025 J jnl
DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios.
CoRR
Shihong Ling, Yue Wan, Xiaowei Jia, Na Du
2025 J jnl
Environmental Computing as a Branch of Science.
Commun. ACM
Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 J jnl
Foundation Models for Environmental Science: A Survey of Emerging Frontiers.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia
2025 J jnl
From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models.
CoRR
Lingyao Li, Runlong Yu, Qikai Hu, Bowei Li, Min Deng, Yang Zhou, Xiaowei Jia
2025 J jnl
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction.
CoRR
Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 — conf
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
SIGSPATIAL/GIS
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 J jnl
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
CoRR
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 — conf
IsoSim: A Long-term Benchmark Dataset for Water Isotope Emulation in Global Climate Models.
SIGSPATIAL/GIS
Zhili Li, Qi Cheng, Ruohan Li, Feng Zhu, Xiaowei Jia, Yiqun Xie
2025 B conf
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling.
IEEE Big Data
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 J jnl
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling.
CoRR
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 J jnl
LLM-based Evaluation Policy Extraction for Ecological Modeling.
CoRR
Qi Cheng, Licheng Liu, Qing Zhu, Runlong Yu, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 A* conf
Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework.
ICDM
Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework.
CoRR
Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
Machine-learning-enabled spatial pattern mining: evaluating the impact of imperfect inputs.
Int. J. Geogr. Inf. Sci.
Zhili Li, Yiqun Xie, Xiaowei Jia, Gengchen Mai, Zhihao Wang, Weiye Chen
2025 A* conf
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
AAAI
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 J jnl
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
CoRR
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 A* conf
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks.
AAAI
Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia
2025 A* conf
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science.
AAAI
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science.
CoRR
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
RAG for Geoscience: What We Expect, Gaps and Opportunities.
CoRR
Runlong Yu, Shiyuan Luo, Rahul Ghosh, Lingyao Li, Yiqun Xie, Xiaowei Jia
2025 — conf
Scenario-Based Evaluation of Probabilistic Time Series Forecasting for Solar Energy.
SIGSPATIAL/GIS
Ruohan Li, Yiqun Xie, Xiaowei Jia, Gengchen Mai, Sophia Hou, Zhihao Wang, Zhili Li
2025 J jnl
Towards efficient quantum algorithms for diffusion probability models.
CoRR
Yunfei Wang, Ruoxi Jiang, Yingda Fan, Xiaowei Jia, Jens Eisert, Junyu Liu, Jin-Peng Liu
2025 J jnl
Towards the next generation of Geospatial Artificial Intelligence.
Int. J. Appl. Earth Obs. Geoinformation
Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Junfeng Jiao
2025 J jnl
Truth Without Comprehension: A BlueSky Agenda for Steering the Fourth Mathematical Crisis.
CoRR
Runlong Yu, Xiaowei Jia
2025 — conf
Truth Without Comprehension: A Bluesky Agenda for Steering the Fourth Mathematical Crisis.
ICDM (Workshops)
Runlong Yu, Xiaowei Jia
2025 — conf
Unveiling Confirmation Bias in Chain-of-Thought Reasoning.
ACL (Findings)
Yue Wan, Xiaowei Jia, Xiang Lorraine Li
2025 J jnl
Unveiling Confirmation Bias in Chain-of-Thought Reasoning.
CoRR
Yue Wan, Xiaowei Jia, Xiang Lorraine Li
2025 A conf
What We Talk About When We Talk About AI for Science.
SDM
Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 J jnl
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
CoRR
Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia
2024 A* conf
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations.
ICDM
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 J jnl
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations.
CoRR
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 J jnl
Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams.
Inf. Fusion
Xiaohu Zhao, Kebin Jia, Benjamin H. Letcher, Jennifer H. Fair, Xiaowei Jia
2024 A conf
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
SDM
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024 J jnl
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
CoRR
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024 — conf
Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes.
PPSN (4)
Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2024 A* conf
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction.
ICDM
Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu
2024 J jnl
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction.
CoRR
Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu
2024 A* conf
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.
AAAI
Erhu He, Yiqun Xie, Alexander Y. Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia
2024 J jnl
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling.
CoRR
Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar
2024 A* conf
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles.
HRI
Shihong Ling, Yue Wan, Xiaowei Jia, Na Du
2024 J jnl
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles.
CoRR
Shihong Ling, Yue Wan, Xiaowei Jia, Na Du
2024 A conf
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.
SDM
Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia
2024 J jnl
Knowledge-guided Machine Learning: Current Trends and Future Prospects.
CoRR
Anuj Karpatne, Xiaowei Jia, Vipin Kumar
2024 J jnl
LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models.
CoRR
Haoran Li, Junqi Liu, Zexian Wang, Shiyuan Luo, Xiaowei Jia, Huaxiu Yao
2024 J jnl
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.
IEEE Trans. Knowl. Data Eng.
Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
2024 J jnl
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement.
CoRR
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
2024 J jnl
Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes.
CoRR
Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2024 A conf
Only Attending What Matter within Trajectories -
SDM
Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2024 J jnl
Phenotyping calcification in vascular tissues using artificial intelligence.
CoRR
Mehdi Ramezanpour, Anne M. Robertson, Yasutaka Tobe, Xiaowei Jia, Juan R. Cebral
2024 J jnl
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks.
CoRR
Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia
2024 J jnl
Physics-enhanced Neural Operator for Simulating Turbulent Transport.
CoRR
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
2024 J jnl
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics.
ACM Trans. Intell. Syst. Technol.
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
2024 A* conf
Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
AAAI
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
2024 J jnl
Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
CoRR
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
2024 J jnl
Revealing an Overlooked Challenge in Class-Incremental Graph Learning.
Trans. Mach. Learn. Res.
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
2024 A* conf
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models.
AAAI
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
2024 J jnl
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models.
CoRR
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
2024 A* conf
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting.
NeurIPS
Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang, Zhili Li
2024 A* conf
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.
AAAI
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2024 A conf
Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction.
SDM
Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 A* conf
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction.
IJCAI
Tianshu Bao, Taylor T. Johnson, Xiaowei Jia
2024 J jnl
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery.
CoRR
Yiqun Xie, Zhihao Wang, Weiye Chen, Zhili Li, Xiaowei Jia, Yanhua Li, Ruichen Wang, Kangyang Chai, Ruohan Li, Sergii Skakun
2023 A conf
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery.
SDM
Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie
2023 J jnl
A physics-based strategy for choosing initial iterate for solving drift-diffusion equations.
Comput. Math. Appl.
Xiaowei Jia, Hengbin An, Yi Hu, Zeyao Mo
2023 A* conf
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.
AAAI
Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun
2023 A* conf
CGS: Coupled Growth and Survival Model with Cohort Fairness.
IJCAI
Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia
2023 A* conf
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery.
IJCAI
Zhili Li, Yiqun Xie, Xiaowei Jia
2023 J jnl
Entity Aware Modelling: A Survey.
CoRR
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
2023 J jnl
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
2023 J jnl
From molecules to scaffolds to functional groups: building context-dependent molecular representation via multi-channel learning.
CoRR
Yue Wan, Jialu Wu, Tingjun Hou, Chang-Yu Hsieh, Xiaowei Jia
2023 — conf
Geo-Foundation Models: Reality, Gaps and Opportunities.
SIGSPATIAL/GIS
Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang
2023 J jnl
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.
CoRR
Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier
2023 J jnl
Harnessing heterogeneity in space with statistically guided meta-learning.
Knowl. Inf. Syst.
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2023 — conf
High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale.
SIGSPATIAL/GIS
Zhihao Wang, Yiqun Xie, Xiaowei Jia, Lei Ma, George C. Hurtt
2023 J jnl
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.
ACM Comput. Surv.
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2023 A* conf
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling.
ICDM
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023 J jnl
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling.
CoRR
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023 J jnl
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.
CoRR
Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin
2023 A conf
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction.
CIKM
Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
2023 A conf
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
SDM
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
2023 A* conf
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.
AAAI
Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia
2023 A conf
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions.
SDM
Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia
2023 A conf
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature.
SDM
Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat
2023 J jnl
Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst.
Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia
2023 A* conf
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery.
AAAI
Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire, Sergii Skakun
2023 J jnl
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.
CoRR
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
2023 J jnl
Reconstruction of Continuous High-Resolution Sea Surface Temperature Data Using Time-Aware Implicit Neural Representation.
Remote. Sens.
Yang Wang, Hassan A. Karimi, Xiaowei Jia
2023 J jnl
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.
Knowl. Inf. Syst.
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2023 J jnl
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
CoRR
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2023 J jnl
Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet.
Comput. Syst. Sci. Eng.
Tianyu Liu, Pengyu Liu, Xiaowei Jia, Shanji Chen, Ying Ma, Qian Gao
2023 A* conf
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.
ICDM
Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2023 A* conf
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
AAAI
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
2023 J jnl
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources.
CoRR
Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar
2022 — conf
Calibration of Multi-dimensional Air Pressure Sensor Based on LSTM.
ICAIS (3)
Tao Wang, Pengyu Liu, Wenjing Zhang, Xiaowei Jia, Yanming Wang, Jiachun Yang
2022 — conf
Clustering augmented self-supervised learning: an application to land cover mapping.
SIGSPATIAL/GIS
Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar
2022 — conf
Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds.
SIGSPATIAL/GIS
Weiye Chen, Zhihao Wang, Zhili Li, Yiqun Xie, Xiaowei Jia, Anlin Li
2022 J jnl
Error Calibration Model of Air Pressure Sensor Based on DF-RBF.
Intell. Autom. Soft Comput.
Pengyu Liu, Wenjing Zhang, Tao Wang, Xiaowei Jia, Ying Ma, Kebin Jia, Yanming Wang
2022 A* conf
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
AAAI
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 — conf
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes.
ICHI
Can Zheng, Yanshan Wang, Xiaowei Jia
2022 J jnl
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes.
CoRR
Can Zheng, Yanshan Wang, Xiaowei Jia
2022 A conf
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.
SDM
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
2022 J jnl
Mapping Large-Scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few-Shot Learning.
Remote. Sens.
Zhihao Wei, Kebin Jia, Xiaowei Jia, Pengyu Liu, Ying Ma, Ting Chen, Guilian Feng
2022 A* conf
Meta-Transfer Learning: An application to Streamflow modeling in River-streams.
ICDM
Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia
2022 J jnl
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
CoRR
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
2022 A conf
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
SDM
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022 J jnl
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
CoRR
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022 A conf
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.
UAI
Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia
2022 A* conf
Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks.
KDD
Shengyu Chen, Jacob A. Zwart, Xiaowei Jia
2022 A* conf
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.
KDD
Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2022 J jnl
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space.
CoRR
Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Vipin Kumar
2022 A* conf
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology.
KDD
Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
2022 A* conf
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
ICDM
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2022 — conf
Sailing in the location-based fairness-bias sphere.
SIGSPATIAL/GIS
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 A* conf
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
IJCAI
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2022 J jnl
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
CoRR
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
2022 B conf
VIMTS: Variational-based Imputation for Multi-modal Time Series.
IEEE Big Data
Xiaohu Zhao, Kebin Jia, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia
2021 A* conf
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
ICDM
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021 J jnl
An Effective CU Depth Decision Method for HEVC Using Machine Learning.
Comput. Syst. Sci. Eng.
Xuan Sun, Pengyu Liu, Xiaowei Jia, Kebin Jia, Shanji Chen, Yueying Wu
2021 — conf
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
IEEE BigData
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 J jnl
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
CoRR
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 — conf
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
IEEE BigData
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021 J jnl
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
CoRR
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021 J jnl
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping.
CoRR
Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 A conf
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.
SDM
Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021 A conf
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values.
ICDCS
Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su
2021 A* conf
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.
ICDM
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia
2021 J jnl
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.
CoRR
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia
2021 J jnl
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics.
CoRR
Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar
2021 J jnl
Land Cover Mapping in Limited Labels Scenario: A Survey.
CoRR
Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2021 J jnl
Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery.
Remote. Sens.
Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang
2021 J jnl
MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Weida Zhong, Qiuling Suo, Abhishek Gupta, Xiaowei Jia, Chunming Qiao, Lu Su
2021 A* conf
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.
ICDM
Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson
2021 J jnl
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
Trans. Data Sci.
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2021 A* conf
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
ICDM
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021 A conf
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.
SDM
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
2021 — conf
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.
IEEE BigData
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
2021 J jnl
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.
CoRR
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
2021 J jnl
Significant DBSCAN+: Statistically Robust Density-based Clustering.
ACM Trans. Intell. Syst. Technol.
Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou
2021 — conf
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
SIGSPATIAL/GIS
Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
2021 J jnl
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach.
IEEE Trans. Knowl. Data Eng.
Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
2021 J jnl
Weakly Supervised Classification Using Group-Level Labels.
CoRR
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2020 J jnl
Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations.
Remote. Sens.
Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Leah H. Samberg, Vipin Kumar
2020 J jnl
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.
CoRR
Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2020 J jnl
Integrating Physics-Based Modeling with Machine Learning: A Survey.
CoRR
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2020 A* conf
Learning with Small Data.
KDD
Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li
2020 A* conf
Personalized Image Retrieval with Sparse Graph Representation Learning.
KDD
Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar
2020 J jnl
Physics Guided Machine Learning Methods for Hydrology.
CoRR
Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2020 J jnl
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
CoRR
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020 J jnl
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR
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
2020 J jnl
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning.
CoRR
Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar
2020 C conf
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.
IGARSS
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020 — conf
Regularized Graph Convolutional Networks for Short Text Classification.
COLING (Industry)
Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
2020 A conf
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.
SDM
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2020 J jnl
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.
CoRR
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2020 J jnl
Teaching deep learning causal effects improves predictive performance.
CoRR
Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon
2019 J jnl
Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning.
CoRR
Xiaowei Jia, Ankush Khandelwal, Vipin Kumar
2019 A conf
Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection.
SDM
Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2019 J jnl
Operator-based preconditioning for the 2-D 3-T energy equations in radiation hydrodynamics simulations.
J. Comput. Phys.
Hengbin An, Zeyao Mo, Xiaowen Xu, Xiaowei Jia
2019 A conf
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
SDM
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2019 J jnl
Plantation Mapping in Southeast Asia.
Frontiers Big Data
Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Vipin Kumar
2019 A* conf
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring.
IJCAI
Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2019 A conf
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection.
SDM
Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar
2019 — conf
Spatio-temporal classification at multiple resolutions using multi-view regularization.
IEEE BigData
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2019 A* conf
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
KDD
Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
2018 A conf
Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns.
SDM
Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar
2018 J jnl
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
CoRR
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2018 J jnl
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.
CoRR
Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar
2017 J jnl
A Survey on Context Learning.
IEEE Trans. Knowl. Data Eng.
Guangxu Xun, Xiaowei Jia, Vishrawas Gopalakrishnan, Aidong Zhang
2017 J jnl
Anderson acceleration and application to the three-temperature energy equations.
J. Comput. Phys.
Hengbin An, Xiaowei Jia, Homer F. Walker
2017 J jnl
Discovery of Shifting Patterns in Sequence Classification.
CoRR
Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017 A* conf
Incremental Dual-memory LSTM in Land Cover Prediction.
KDD
Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
2017 — conf
Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands.
IEEE BigData
Xiaowei Jia, Yifan Hu, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017 J jnl
Numerical Methods and Comparison for the Dirac Equation in the Nonrelativistic Limit Regime.
J. Sci. Comput.
Weizhu Bao, Yongyong Cai, Xiaowei Jia, Qinglin Tang
2017 A conf
Predict Land Covers with Transition Modeling and Incremental Learning.
SDM
Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
2016 J jnl
A Uniformly Accurate Multiscale Time Integrator Pseudospectral Method for the Dirac Equation in the Nonrelativistic Limit Regime.
SIAM J. Numer. Anal.
Weizhu Bao, Yongyong Cai, Xiaowei Jia, Qinglin Tang
2016 B conf
Collaborative restricted Boltzmann machine for social event recommendation.
ASONAM
Xiaowei Jia, Xiaoyi Li, Kang Li, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
2016 J jnl
Detecting epileptic seizures with electroencephalogram via a context-learning model.
BMC Medical Informatics Decis. Mak.
Guangxu Xun, Xiaowei Jia, Aidong Zhang
2016 — conf
Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application.
IEEE BigData
Xiaowei Jia, Xi Chen, Anuj Karpatne, Vipin Kumar
2016 B conf
Influence based analysis of community consistency in dynamic networks.
ASONAM
Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
2016 — conf
Learning large-scale plantation mapping from imperfect annotators.
IEEE BigData
Xiaowei Jia, Ankush Khandelwal, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
2015 — conf
Bone disease prediction and phenotype discovery using feature representation over electronic health records.
BCB
Hui Li, Xiaoyi Li, Xiaowei Jia, Murali Ramanathan, Aidong Zhang
2015 — conf
Context-learning based electroencephalogram analysis for epileptic seizure detection.
BIBM
Guangxu Xun, Xiaowei Jia, Aidong Zhang
2015 A* conf
DRN: Bringing Greedy Layer-Wise Training into Time Dimension.
ICDM
Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang
2015 — conf
Improving EEG feature learning via synchronized facial video.
IEEE BigData
Xiaoyi Li, Xiaowei Jia, Guangxu Xun, Aidong Zhang
2015 — conf
Multi-modal learning for video recommendation based on mobile application usage.
IEEE BigData
Xiaowei Jia, Aosen Wang, Xiaoyi Li, Guangxu Xun, Wenyao Xu, Aidong Zhang
2015 B conf
Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks.
ASONAM
Nan Du, Jing Gao, Liang Ge, Vishrawas Gopalakrishnan, Xiaowei Jia, Kang Li, Aidong Zhang
2015 J jnl
Tracking Temporal Community Strength in Dynamic Networks.
IEEE Trans. Knowl. Data Eng.
Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang
2014 C conf
A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals.
BIBE
Xiaowei Jia, Kang Li, Xiaoyi Li, Aidong Zhang
2014 A conf
Analysis on Community Variational Trend in Dynamic Networks.
CIKM
Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang
2013 B conf
Towards efficient vacant taxis Cruising Guidance.
GLOBECOM
Yunfei Hou, Xu Li, Yunjie Zhao, Xiaowei Jia, Adel W. Sadek, Kevin F. Hulme, Chunming Qiao
2012 — conf
A GPU-Based DRR Generation Method Using Cubic Window.
IIH-MSP
Xiaowei Jia, Wei Wei, Kebin Jia
2011 — conf
Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach.
EMBC
Jinchao Feng, Xiaowei Jia, Kebin Jia, Chenghu Qin, Jie Tian