Shaoming Xu - RankMe

12 papers A 3Journal 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. CoRR Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar
2024	J	`jnl`	Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling. CoRR Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah D. Brenowitz, Dale R. Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, Michael S. Pritchard
2024	A	`conf`	Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
2023	J	`jnl`	Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Comput. Surv. Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2023	J	`jnl`	Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
2023	A	`conf`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2022	J	`jnl`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2021	J	`jnl`	Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu
2021	A	`conf`	Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM 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
2020	J	`jnl`	Integrating Physics-Based Modeling with Machine Learning: A Survey. CoRR Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2020	J	`jnl`	Physics Guided Machine Learning Methods for Hydrology. CoRR Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2020	J	`jnl`	Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR 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