518 results on '"Xiaowei Jia"'
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52. Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.
53. Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
54. Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery.
55. Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.
56. Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks.
57. Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement.
58. Hierarchical Conditional Multi-Task Learning for Streamflow Modeling.
59. Revealing an Overlooked Challenge in Class-Incremental Graph Learning.
60. Phenotyping calcification in vascular tissues using artificial intelligence.
61. Physics-enhanced Neural Operator for Simulating Turbulent Transport.
62. Knowledge-guided Machine Learning: Current Trends and Future Prospects.
63. When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery.
64. LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models.
65. Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes.
66. A physics-based strategy for choosing initial iterate for solving drift-diffusion equations.
67. STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.
68. Harnessing heterogeneity in space with statistically guided meta-learning.
69. Physics-guided machine learning from simulated data with different physical parameters.
70. Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet.
71. Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.
72. Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.
73. Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks.
74. Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology.
75. Clustering augmented self-supervised learning: an application to land cover mapping.
76. Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds.
77. Sailing in the location-based fairness-bias sphere.
78. Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
79. VIMTS: Variational-based Imputation for Multi-modal Time Series.
80. Meta-Transfer Learning: An application to Streamflow modeling in River-streams.
81. STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
82. Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.
83. Calibration of Multi-dimensional Air Pressure Sensor Based on LSTM.
84. Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes.
85. Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.
86. Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
87. Fairness by 'Where': A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
88. Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams.
89. FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
90. From molecules to scaffolds to functional groups: building context-dependent molecular representation via multi-channel learning.
91. STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
92. Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources.
93. Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.
94. Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.
95. Entity Aware Modelling: A Survey.
96. HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.
97. Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
98. Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.
99. CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
100. Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
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