Xiaowei Jia
24 papers · 2019–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(18)
π
Keyword Champion
(2)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(119)
Top co-authors
Research topics
Machine Learning
(21)
Deep Learning
(14)
Application Areas
(13)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(7)
Core Methods
(7)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Core AI
(5)
Domain-Specific
(5)
Architectures
(4)
Models
(4)
Optimization & Theory
(4)
Learning Paradigms Β· Machine Learning
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Keywords
transfer learning
(7)
domain generalization
(4)
remote sensing
(4)
domain adaptation
(4)
satellite imagery
(4)
recurrent neural network
(3)
physics-guided learning
(3)
graph neural network
(3)
spatial fairness
(3)
physics-guided neural network
(2)
streamflow prediction
(2)
spatial heterogeneity
(2)
few-shot learning
(2)
spatio-temporal prediction
(2)
multi-task learning
(2)
node classification
(2)
bilevel optimization
(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
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
AAAI 2026
Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science
AAAI 2026
Multi-Scale Graph Learning for Anti-Sparse Downscaling
AAAI 2025
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
AAAI 2025
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
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
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
AAAI 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NeurIPS 2024
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
AAAI 2024
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
IJCAI 2024
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics
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
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
AAAI 2023
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery
AAAI 2023
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
AAAI 2023
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
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)
IJCAI 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