A 6.25-Gb/s binary transceiver in 0.13-μm CMOS for serial data transmission across high loss legacy backplane channels. - Robert Payne; Paul E. Landman; Bhavesh Bhakta; Sridhar Ramaswamy; Song Wu; John D. Powers; M. Ulvi Erdogan; Ah-Lyan Yee; Richard Gu; Lin Wu; Yiqun Xie; Bharadwaj Parthasarathy; et al. (IEEE J. Solid State Circuits, 2005)

A 6.25GHz 1V LC-PLL in 0.13µm CMOS. - Richard Gu; Ah-Lyan Yee; Yiqun Xie; Wai Lee (ISSCC, 2006)

Crater Detection Using the Morphological Characteristics of Chang'E-1 Digital Elevation Models. - Yiqun Xie; Guoan Tang; Shijiang Yan; Hui Lin (IEEE Geosci. Remote. Sens. Lett., 2013)

Ring-Shaped Hotspot Detection: A Summary of Results. - Emre Eftelioglu; Shashi Shekhar 001; Dev Oliver; Xun Zhou 001; Michael R. Evans; Yiqun Xie; James M. Kang; Renee Laubscher; Christopher Farah (ICDM, 2014)

Melting of icosahedral nickel clusters under hydrostatic pressure. - Bing Fu; Li Chen; Feifei Wang; Yiqun Xie; Xiang Ye (J. Comput. Chem., 2014)

Data Science for Food, Energy and Water: A Workshop Report. - Naoki Abe; Yiqun Xie; Shashi Shekhar 001; Chid Apté; Vipin Kumar 001; Mitch Tuinstra; Ranga Raju Vatsavai (SIGKDD Explor., 2016)

Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability. - Yiqun Xie; KwangSoo Yang; Shashi Shekhar 001; Brent Dalzell; David J. Mulla (AAAI Workshops, 2017)

FF-SA: Fragmentation-Free Spatial Allocation. - Yiqun Xie; Shashi Shekhar 001 (SSTD, 2017)

Transdisciplinary Foundations of Geospatial Data Science. - Yiqun Xie; Emre Eftelioglu; Reem Y. Ali; Xun Tang; Yan Li 049; Ruhi Doshi; Shashi Shekhar 001 (ISPRS Int. J. Geo Inf., 2017)

Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation. - Yiqun Xie; Bryan C. Runck; Shashi Shekhar 001; Len Kne; David J. Mulla; Nicolas Jordan; Peter Wiringa (ISPRS Int. J. Geo Inf., 2017)

An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results. - Yiqun Xie; Rahul Bhojwani; Shashi Shekhar 001; Joseph F. Knight (SIGSPATIAL/GIS, 2018)

A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. - Yiqun Xie; Han Bao 003; Shashi Shekhar 001; Joseph F. Knight (ICDM, 2018)

Transforming Smart Cities with Spatial Computing. - Yiqun Xie; Jayant Gupta; Yan Li 049; Shashi Shekhar 001 (ISC2, 2018)

Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification. - Samantha Detor; Abigail Roh; Yiqun Xie; Shashi Shekhar 001 (BDA, 2019)

Revolutionizing Tree Management via Intelligent Spatial Techniques. - Yiqun Xie; Shashi Shekhar 001; Richard Feiock; Joseph F. Knight (SIGSPATIAL/GIS, 2019)

NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images. - Anushree Ramanath; Saipreethi Muthusrinivasan; Yiqun Xie; Shashi Shekhar 001; Bharathkumar Ramachandra (IGARSS, 2019)

A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results. - Yiqun Xie; Shashi Shekhar 001 (SDM, 2019)

Significant DBSCAN towards Statistically Robust Clustering. - Yiqun Xie; Shashi Shekhar 001 (SSTD, 2019)

COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. - Han Bao 003; Xun Zhou 001; Yingxue Zhang 002; Yanhua Li; Yiqun Xie (SIGSPATIAL/GIS, 2020)

Significant lagrangian linear hotspot discovery. - Yan Li 049; Yiqun Xie; Pengyue Wang; Shashi Shekhar 001; William F. Northrop (IWCTS@SIGSPATIAL, 2020)

Discovering Spatial Mixture Patterns of Interest. - Yiqun Xie; Han Bao 003; Yan Li 049; Shashi Shekhar 001 (SIGSPATIAL/GIS, 2020)

Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results. - Jayant Gupta; Yiqun Xie; Shashi Shekhar 001 (CoRR, 2020)

A locally-constrained YOLO framework for detecting small and densely-distributed building footprints. - Yiqun Xie; Jiannan Cai; Rahul Bhojwani; Shashi Shekhar 001; Joseph F. Knight (Int. J. Geogr. Inf. Sci., 2020)

Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data. - Yan Li 049; Pratik Kotwal; Pengyue Wang; Yiqun Xie; Shashi Shekhar 001; William F. Northrop (Trans. Data Sci., 2020)

A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities. - Yiqun Xie; Shashi Shekhar 001 (Trans. Data Sci., 2020)

Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. - Yiqun Xie; Xun Zhou 001; Shashi Shekhar 001 (ACM Trans. Intell. Syst. Technol., 2020)

Significant spatial co-distribution pattern discovery. - Jiannan Cai; Yiqun Xie; Min Deng; Xun Tang; Yan Li 049; Shashi Shekhar 001 (Comput. Environ. Urban Syst., 2020)

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. - Yiqun Xie; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Jia Yu 020; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2021)

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. - Xiaowei Jia; Yiqun Xie; Sheng Li 001; Shengyu Chen; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (ICDM, 2021)

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (ICDM, 2021)

Discovering regions of anomalous spatial co-locations. - Jiannan Cai; Min Deng; Yiwen Guo; Yiqun Xie; Shashi Shekhar 001 (Int. J. Geogr. Inf. Sci., 2021)

Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery. - Zhihao Wei; Kebin Jia; Pengyu Liu 001; Xiaowei Jia; Yiqun Xie; Zhe Jiang 001 (Remote. Sens., 2021)

Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. - Jayant Gupta; Carl Molnar; Yiqun Xie; Joe Knight; Shashi Shekhar 001 (ACM Trans. Intell. Syst. Technol., 2021)

Significant DBSCAN+: Statistically Robust Density-based Clustering. - Yiqun Xie; Xiaowei Jia; Shashi Shekhar 001; Han Bao 003; Xun Zhou 001 (ACM Trans. Intell. Syst. Technol., 2021)

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 003; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (AAAI, 2022)

VIMTS: Variational-based Imputation for Multi-modal Time Series. - Xiaohu Zhao; Kebin Jia; Benjamin H. Letcher; Jennifer H. Fair; Yiqun Xie; Xiaowei Jia (IEEE Big Data, 2022)

CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. - Yan Li 049; Majid Farhadloo; Santhoshi Krishnan; Yiqun Xie; Timothy L. Frankel; Shashi Shekhar 001; Arvind Rao (BigSpatial@SIGSPATIAL, 2022)

Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds. - Weiye Chen; Zhihao Wang; Zhili Li; Yiqun Xie; Xiaowei Jia; Anlin Li (SIGSPATIAL/GIS, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (ICDM, 2022)

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (IJCAI, 2022)

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. - Wenchong He; Zhe Jiang 001; Marcus Kriby; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (KDD, 2022)

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 001 (SDM, 2022)

COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yingxue Zhang 002; Yanhua Li (ACM Trans. Intell. Syst. Technol., 2022)

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 (AAAI, 2023)

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

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. - Yiqun Xie; Zhili Li; Han Bao 003; Xiaowei Jia; Dongkuan Xu; Xun Zhou 001; Sergii Skakun (AAAI, 2023)

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 001; Xiaowei Jia (CIKM, 2023)

Towards Inherently Interpretable Deep Learning for Accelerating Scientific Discoveries in Climate Science. - Anh N. Nhu; Yiqun Xie (SIGSPATIAL/GIS, 2023)

High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale. - Zhihao Wang; Yiqun Xie; Xiaowei Jia; Lei Ma; George C. Hurtt (SIGSPATIAL/GIS, 2023)

Geo-Foundation Models: Reality, Gaps and Opportunities. - Yiqun Xie; Zhaonan Wang 001; Gengchen Mai; Yanhua Li; Xiaowei Jia; Song Gao 001; Shaowen Wang 001 (SIGSPATIAL/GIS, 2023)

Rethinking Data Distillation: Do Not Overlook Calibration. - Dongyao Zhu; Yanbo Fang; Bowen Lei; Yiqun Xie; Dongkuan Xu; Jie Zhang 081; Ruqi Zhang (ICCV, 2023)

Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. - Mingzhi Hu; Zhuoyun Zhong; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (ICDM, 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 (IJCAI, 2023)

A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. - Zhe Jiang 001; Yupu Zhang; Saugat Adhikari; Da Yan 001; Arpan Man Sainju; Xiaowei Jia; Yiqun Xie (SDM, 2023)

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. - Yan Li 049; Mingzhou Yang 001; Matthew Eagon; Majid Farhadloo; Yiqun Xie; William F. Northrop; Shashi Shekhar 001 (SDM, 2023)

Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. - Shengyu Chen; Yiqun Xie; Xiang Li; Xu Liang; Xiaowei Jia (SDM, 2023)

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 001; Nasrin Kalanat (SDM, 2023)

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. - Shiyuan Luo; Juntong Ni; Shengyu Chen; Runlong Yu; Yiqun Xie; Licheng Liu; Zhenong Jin; Huaxiu Yao; Xiaowei Jia (CoRR, 2023)

Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. - Yiqun Xie; Shashi Shekhar 001; Yan Li 049 (ACM Comput. Surv., 2023)

Physics-guided machine learning from simulated data with different physical parameters. - Shengyu Chen; Nasrin Kalanat; Yiqun Xie; Sheng Li 001; Jacob A. Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha K. Oliver; Jordan S. Read; Xiaowei Jia (Knowl. Inf. Syst., 2023)

Harnessing heterogeneity in space with statistically guided meta-learning. - Yiqun Xie; Weiye Chen; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (Knowl. Inf. Syst., 2023)

STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (Knowl. Inf. Syst., 2023)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness. - Weiye Chen; Yiqun Xie; Xiaowei Jia; Erhu He; Han Bao 003; Bang An 002; Xun Zhou 001 (AAAI, 2024)

Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. - Erhu He; Yiqun Xie; Alexander Sun; Jacob Zwart; Jie Yang 070; Zhenong Jin; Yang Wang; Hassan A. Karimi; Xiaowei Jia (AAAI, 2024)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. - Zhihao Wang; Yiqun Xie; Zhili Li; Xiaowei Jia; Zhe Jiang 001; Aolin Jia; Shuo Xu 002 (AAAI, 2024)

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001; Shigang Chen; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (AAAI, 2024)

High-Resolution Poverty Mapping with Foundation Models: A Cost-effective Approach from Street Views to Satellite Images. - William Lu; Zhili Li; Yiqun Xie (IEEE Big Data, 2024)

SRL: Towards a General-Purpose Framework for Spatial Representation Learning. - Gengchen Mai; Xiaobai Angela Yao; Yiqun Xie; Jinmeng Rao; Hao Li 019; Qing Zhu; Ziyuan Li; Ni Lao (SIGSPATIAL/GIS, 2024)

Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. - Yuhang Liu 004; Yingxue Zhang 002; Xin Zhang 098; Yu Yang 010; Yiqun Xie; Sahar Ghanipoor Machiani; Yanhua Li; Jun Luo 007 (ICDM, 2024)

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 (ICDM, 2024)

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. - Xinbo Zhao 001; Yingxue Zhang 002; Xin Zhang 098; Yu Yang 010; Yiqun Xie; Yanhua Li; Jun Luo 007 (KDD, 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 001; Yanhua Li; Yingxue Zhang 002; Zhihao Wang; Zhili Li (NeurIPS, 2024)

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 (PPSN (4), 2024)

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. - Erhu He; Yiqun Xie; Licheng Liu; Zhenong Jin; Dajun Zhang; Xiaowei Jia (SDM, 2024)

Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. - Mingzhi Hu; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (SDM, 2024)

Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. - Nasrin Kalanat; Yiqun Xie; Yanhua Li; Xiaowei Jia (SDM, 2024)

Satellite-based soybean yield prediction in Argentina: A comparison between panel regression and deep learning methods. - Yuhao Wang; Kuishuang Feng; Laixiang Sun; Yiqun Xie; Xiao-Peng Song (Comput. Electron. Agric., 2024)

Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes. - Runlong Yu; Robert Ladwig; Xiang Xu; Peijun Zhu; Paul C. Hanson; Yiqun Xie; Xiaowei Jia (CoRR, 2024)

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery. - Yiqun Xie; Zhihao Wang; Weiye Chen; Zhili Li; Xiaowei Jia; Yanhua Li; Ruichen Wang; Kangyang Chai; Ruohan Li; Sergii Skakun (CoRR, 2024)

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. - Erhu He; Yiqun Xie; Weiye Chen; Sergii Skakun; Han Bao 003; Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Scale Graph Learning for Anti-Sparse Downscaling. - Yingda Fan; Runlong Yu; Janet R. Barclay; Alison P. Appling; Yiming Sun 004; 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 001; 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 (AAAI, 2025)

A Survey of Foundation Models for Environmental Science. - Runlong Yu; Shengyu Chen; Yiqun Xie; Xiaowei Jia (PAKDD (6), 2025)

Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. - Yiming Sun 004; Runlong Yu; Runxue Bao; Yiqun Xie; Ye Ye 002; Xiaowei Jia (SDM, 2025)

What We Talk About When We Talk About AI for Science. - Runlong Yu; Yiqun Xie; Xiaowei Jia (SDM, 2025)

Towards the next generation of Geospatial Artificial Intelligence. - Gengchen Mai; Yiqun Xie; Xiaowei Jia; Ni Lao; Jinmeng Rao; Qing Zhu; Zeping Liu; Yao-Yi Chiang; Junfeng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

LocDiffusion: Identifying Locations on Earth by Diffusing in the Hilbert Space. - Zhangyu Wang; Jielu Zhang; Zhongliang Zhou; Qian Cao; Nemin Wu; Zeping Liu; Lan Mu; Yang Song; Yiqun Xie; Ni Lao; Gengchen Mai (CoRR, 2025)

Foundation Models for Environmental Science: A Survey of Emerging Frontiers. - Runlong Yu; Shengyu Chen; Yiqun Xie; Huaxiu Yao; Jared Willard; Xiaowei Jia (CoRR, 2025)

Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling. - Qi Cheng; Licheng Liu; Yao Zhang; Mu Hong; Shiyuan Luo; Zhenong Jin; Yiqun Xie; Xiaowei Jia (CoRR, 2025)

LLM-based Evaluation Policy Extraction for Ecological Modeling. - Qi Cheng; Licheng Liu; Qing Zhu; Runlong Yu; Zhenong Jin; Yiqun Xie; Xiaowei Jia (CoRR, 2025)

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. - Yiming Sun 004; Shuo Chen; Shengyu Chen; Chonghao Qiu; Licheng Liu; Youmi Oh; Sparkle L. Malone; Gavin McNicol; Qianlai Zhuang; Chris Smith; Yiqun Xie; Xiaowei Jia (CoRR, 2025)

TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting. - Lincan Li; Eren Erman Ozguven; Yue Zhao 016; Guang Wang; Yiqun Xie; Yushun Dong (CoRR, 2025)

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses. - Bolin Shen; Eren Erman Ozguven; Yue Zhao 016; Guang Wang; Yiqun Xie; Yushun Dong (CoRR, 2025)

Environmental Computing as a Branch of Science. - Runlong Yu; Yiqun Xie; Xiaowei Jia (Commun. ACM, 2025)

RAG for Geoscience: What We Expect, Gaps and Opportunities. - Runlong Yu; Shiyuan Luo; Rahul Ghosh; Lingyao Li; Yiqun Xie; Xiaowei Jia (CoRR, 2025)