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Yiqun Xie

19 papers · 2022–2026 · 4 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (49) 🀝 Dynamic Duo (16) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (17) πŸ—ƒοΈ Keyword Collector (101)

Conferences

AAAI (14) IJCAI (3) ICCV (1) NIPS (1)

Research topics

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 β€œWhere”: 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