Xiaowei Jia
24 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (6)
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Cross-Pollinator
(6)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(51)
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Keyword Champion
(2)
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Dynamic Duo
(16)
β‘
Prolific Year
(6)
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Century Club
(21)
ποΈ
Keyword Collector
(116)
π₯
Unstoppable
(5)
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Trend Setter
Conferences
AAAI (15)
IJCAI (5)
ACL (1)
COLING (1)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
transfer learning
(7)
domain generalization
(4)
domain adaptation
(4)
satellite imagery
(4)
physics-guided learning
(3)
graph neural network
(3)
spatial fairness
(3)
remote sensing
(3)
physics-guided neural network
(2)
streamflow prediction
(2)
node classification
(2)
spatial heterogeneity
(2)
few-shot learning
(2)
bi-level optimization
(2)
recurrent neural network
(2)
spatiotemporal prediction
(2)
multi-task learning
(2)
deep learning
(1)
short text classification
(1)
chain-of-thought reasoning
(1)
Papers
EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization
AAAI 2026
Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science
AAAI 2026
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
AAAI 2026
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
AAAI 2025
Multi-Scale Graph Learning for Anti-Sparse Downscaling
AAAI 2025
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
AAAI 2025
Unveiling Confirmation Bias in Chain-of-Thought Reasoning
ACL 2025
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
AAAI 2024
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
AAAI 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NIPS 2024
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
IJCAI 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
AAAI 2023
CGS: Coupled Growth and Survival Model with Cohort Fairness
IJCAI 2023
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery
IJCAI 2023
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics
AAAI 2023
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery
AAAI 2023
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
AAAI 2023
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)
IJCAI 2022
Fairness by βWhereβ: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
AAAI 2022
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows
UAI 2022
Regularized Graph Convolutional Networks for Short Text Classification
COLING 2020
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring
IJCAI 2019