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Jia, Xiaowei

  1. Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
    2020/03/10 by Jared Willard, Willard, Jared, Xiaowei Jia +7 · 20 citations
    Computer Science · Decision Sciences · #Computational Physics and Python Applications #Machine Learning and Data Classification #Scientific Computing and Data Management
  2. Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
    2020/01/28 by Jia, Xiaowei, Willard, Jared, Karpatne, Anuj +4 · 2 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
  3. Referee-Meta-Learning for Fast Adaptation of Locational Fairness
    2024/02/20 by Weiye Chen, Chen, Weiye, Yiqun Xie +11 · 2 citations
    Social Sciences · Economics, Econometrics and Finance · Decision Sciences · #Ethics and Social Impacts of AI #Insurance and Financial Risk Management #Impact of AI and Big Data on Business and Society
  4. Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
    2018/10/31 by Jia, Xiaowei, Willard, Jared, Karpatne, Anuj +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences
  5. Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
    2018/10/05 by Xiaowei Jia, Jia, Xiaowei, Anuj Karpatne +13 · 1 citation
    Environmental Science · Computer Science · #Hydrological Forecasting Using AI #Time Series Analysis and Forecasting #Hydrology and Watershed Management Studies
  6. Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
    2021/09/14 by Rahul Ghosh, Ghosh, Rahul, Arvind Renganathan +15 · 1 citation
    Environmental Science · #FOS: Computer and information sciences #Flood Risk Assessment and Management #Hydrological Forecasting Using AI #Hydrology and Watershed Management Studies #Machine Learning (cs.LG)
  7. Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks
    2021/09/06 by Chen, Shengyu, Sammak, Shervin, Givi, Peyman +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
  8. Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
    2024/01/29 by Ravirathinam, Praveen, Ghosh, Rahul, Khandelwal, Ankush +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  9. Towards efficient quantum algorithms for diffusion probabilistic models
    2025/02/20 by Yunfei Wang, Ruoxi Jiang, Wang, Yunfei +11 · 3 citations
    Computer Science · #Quantum Computing Algorithms and Architecture
  10. Unveiling Confirmation Bias in Chain-of-Thought Reasoning
    2025/06/14 by Yue Wan, Xiaowei Jia, Wan, Yue +3 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Machine Learning (cs.LG) #Semantic Web and Ontologies
  11. Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications
    2022/10/15 by Shaoming Xu, Ankush Khandelwal, Xu, Shaoming +21 · 1 citation
    Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Neural Networks and Applications
  12. Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
    2025/02/10 by Runlong Yu, Yu, Runlong, Chonghao Qiu +9 · 5 citations
    Decision Sciences · Engineering · Environmental Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reservoir Engineering and Simulation Methods #Scientific Computing and Data Management
  13. Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling
    2023/09/19 by Kshitij Tayal, Arvind Renganathan, Tayal, Kshitij +7 · 1 citation
    Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Signal Processing (eess.SP) #electronic engineering #information engineering
  14. Knowledge-guided Machine Learning: Current Trends and Future Prospects
    2024/03/24 by Anuj Karpatne, Xiaowei Jia, Karpatne, Anuj +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Neural Networks and Applications #and Science (cs.CE)
  15. When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery
    2024/04/17 by Yiqun Xie, Xie, Yiqun, Zhihao Wang +17 · 1 citation
    Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Remote-Sensing Image Classification
  16. LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models
    2024/04/01 by Li, Haoran, Liu, Junqi, Wang, Zexian +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  17. RAG for Geoscience: What We Expect, Gaps and Opportunities
    2025/08/15 by Yu, Runlong, Luo, Shiyuan, Ghosh, Rahul +3 · 2 citations
    #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  18. Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
    2022/12/10 by Zhexiong Liu, Licheng Liu, Liu, Zhexiong +7 · 1 citation
    Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Hydrology and Watershed Management Studies #Machine Learning (cs.LG)
  19. Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations
    2024/11/20 by Yu, Runlong, Qiu, Chonghao, Ladwig, Robert +4 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Physics Guided Machine Learning Methods for Hydrology
    2020/12/02 by Ankush Khandelwal, Shaoming Xu, Khandelwal, Ankush +12 · 1 citation
    Environmental Science · #Hydrology and Watershed Management Studies #Hydrological Forecasting Using AI #Flood Risk Assessment and Management
  21. Foundation Models for Environmental Science: A Survey of Emerging Frontiers
    2025/04/05 by Yu, Runlong, Chen, Shengyu, Xie, Yiqun +3 · 3 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
  22. FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
    2023/11/17 by Luo, Shiyuan, Ni, Juntong, Chen, Shengyu +6 · 1 citation
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Populations and Evolution (q-bio.PE)
  23. A Survey of Foundation Models for Environmental Science
    2025/03/05 by Yu, Runlong, Chen, Shengyu, Xie, Yiqun +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)