Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob Zwart; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2019)

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (IGARSS, 2020)

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. - Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Steven Markstrom; Jared Willard; Shaoming Xu; Michael S. Steinbach; Jordan S. Read; Vipin Kumar 001 (CoRR, 2020)

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. - Tianshu Bao; Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Taylor T. Johnson (ICDM, 2021)

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. - Shengyu Chen; Alison P. Appling; Samantha Oliver; Hayley Corson-Dosch; Jordan S. Read; Jeffrey M. Sadler; Jacob Zwart; Xiaowei Jia (ICDM, 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)

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. - Xiaowei Jia; Beiyu Lin; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (SDM, 2021)

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. - Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Steven Markstrom; Jared Willard; Shaoming Xu; Michael S. Steinbach; Jordan S. Read; Vipin Kumar 001 (SDM, 2021)

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (Trans. Data Sci., 2021)

Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. - Shengyu Chen; Jacob A. Zwart; Xiaowei Jia (KDD, 2022)

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)

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)

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)