Yiqun Xie
19 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
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Papers
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
AAAI 2026
EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization
AAAI 2026
Multi-Scale Graph Learning for Anti-Sparse Downscaling
AAAI 2025
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
AAAI 2025
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
AAAI 2025
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
AAAI 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024
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
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NIPS 2024
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
AAAI 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
Rethinking Data Distillation: Do Not Overlook Calibration
ICCV 2023
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
Fairness by βWhereβ: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
AAAI 2022
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)
IJCAI 2022