Xie, Yiqun

20 publications

NeurIPS 2025 CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems Zhihao Wang, Lei Ma, George Hurtt, Xiaowei Jia, Yanhua Li, Ruohan Li, Zhili Li, Shuo Xu, Yiqun Xie

NeurIPS 2025 LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space Zhangyu Wang, Zeping Liu, Jielu Zhang, Zhongliang Zhou, Qian Cao, Nemin Wu, Lan Mu, Yang Song, Yiqun Xie, Ni Lao, Gengchen Mai

AAAI 2025 Multi-Scale Graph Learning for Anti-Sparse Downscaling Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia

AAAI 2025 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia

AAAI 2025 Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia

NeurIPS 2025 TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery Zhihao Wang, Cooper Li, Ruichen Wang, Lei Ma, George Hurtt, Xiaowei Jia, Gengchen Mai, Zhili Li, Yiqun Xie

AAAI 2024 Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks Erhu He, Yiqun Xie, Alexander Y. Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia

AAAI 2024 Referee-Meta-Learning for Fast Adaptation of Locational Fairness Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou

AAAI 2024 SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu

NeurIPS 2024 SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-Situ Observations for Large-Scale Solar Energy Forecasting Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang, Zhili Li

AAAI 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

AAAI 2023 Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun

IJCAI 2023 CGS: Coupled Growth and Survival Model with Cohort Fairness Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia

IJCAI 2023 Confidence-Based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery Zhili Li, Yiqun Xie, Xiaowei Jia

AAAI 2023 Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia

AAAI 2023 Point-to-Region Co-Learning for Poverty Mapping at High Resolution Using Satellite Imagery Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire, Sergii Skakun

ICCV 2023 Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Yiqun Xie, Ruqi Zhang, Dongkuan Xu

AAAI 2023 Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia

AAAI 2022 Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

IJCAI 2022 Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract) Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam