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Yiqun Xie

19 papers · 2022–2026 · 4 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.

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+4 more ↓ 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (43) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🤝 Dynamic Duo (18)
⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (101)

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 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 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 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 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability AAAI 2023 Fairness by “Where”: 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