| 2026 | AAAI | EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization. | Ruohan Li, Zhihao Wang, Xiaowei Jia, Gengchen Mai, Lei Ma, George C. Hurtt, Quan Shen, Zhili Li, Yiqun Xie |
| 2026 | AAAI | GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction. | Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia |
| 2026 | KDD | X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. | Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia |
| 2025 | AAAI | Multi-Scale Graph Learning for Anti-Sparse Downscaling. | Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ICDM | Multimodal Foundation Models as Router Models for High-Resolution Aerial Image Segmentation. | Cooper Li, Zhihao Wang, Yiqun Xie |
| 2025 | ICDM | Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework. | Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia |
| 2025 | PAKDD | A Survey of Foundation Models for Environmental Science. | Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia |
| 2025 | SDM | Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. | Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia |
| 2025 | SDM | What We Talk About When We Talk About AI for Science. | Runlong Yu, Yiqun Xie, Xiaowei Jia |
| 2024 | AAAI | Referee-Meta-Learning for Fast Adaptation of Locational Fairness. | Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou |
| 2024 | AAAI | 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 |
| 2024 | AAAI | SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. | Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu |
| 2024 | AAAI | 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 |
| 2024 | ICDM | Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. | Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo |
| 2024 | ICDM | Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations. | Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2024 | KDD | Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. | Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo |
| 2024 | PPSN | Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes. | Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia |
| 2024 | SDM | Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. | Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia |
| 2024 | SDM | Only Attending What Matter within Trajectories - | Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo |
| 2024 | SDM | Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. | Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. | Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | CIKM | Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. | Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia |
| 2023 | ICCV | Rethinking Data Distillation: Do Not Overlook Calibration. | Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang |
| 2023 | ICDM | Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. | Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo |
| 2023 | IJCAI | CGS: Coupled Growth and Survival Model with Cohort Fairness. | Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia |
| 2023 | IJCAI | Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery. | Zhili Li, Yiqun Xie, Xiaowei Jia |
| 2023 | SDM | A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. | Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie |
| 2023 | SDM | Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. | Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar |
| 2023 | SDM | Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. | Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia |
| 2023 | SDM | Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. | Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat |
| 2022 | AAAI | 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 |
| 2022 | ICDM | STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. | Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2022 | IJCAI | 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 |
| 2022 | KDD | Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. | Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou |
| 2022 | SDM | Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. | Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang |
| 2021 | ICDM | Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. | Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read |
| 2021 | ICDM | A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2019 | IGARSS | NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images. | Anushree Ramanath, Saipreethi Muthusrinivasan, Yiqun Xie, Shashi Shekhar, Bharathkumar Ramachandra |
| 2019 | SDM | A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results. | Yiqun Xie, Shashi Shekhar |
| 2018 | ICDM | A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. | Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight |
| 2017 | AAAI | Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability. | Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David J. Mulla |
| 2014 | ICDM | Ring-Shaped Hotspot Detection: A Summary of Results. | Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah |