Shengyu Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Physical Parameters

Machine Learning

High Resolution Color

Top Venues

Knowl. Inf. Syst.

Publications

Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
Physics-enhanced Neural Operator for Simulating Turbulent Transport. CoRR (2024)
Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. SDM (2023)
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. CoRR (2023)
Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation. CoRR (2023)
Luo Weiming, Wu Jiekang, Jinjian Cai, Yunshou Mao, Shengyu Chen
Capacity Allocation Optimization Framework for Hydrogen Integrated Energy System Considering Hydrogen Trading and Long-Term Hydrogen Storage. IEEE Access 11 (2023)
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement. CoRR (2023)
Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. SDM (2023)
Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia
Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 65 (8) (2023)
Shengyu Chen, Nasrin Kalanat, Simon Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. CIKM (2023)
Shengyu Chen, Guidong Zhang, Samson Shenglong Yu, Yun Zhang, Zhong Li
Coordinated Virtual Inertial Control of DFIG with BESS for Frequency Support. ISKE (2023)
Chen Guo, Yaojin Lin, Shengyu Chen, Zhichun Zeng, Mingwen Shao, Shaozi Li
From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition. Knowl. Based Syst. 235 (2022)
Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows. UAI (2022)
Shengyu Chen, Jacob A. Zwart, Xiaowei Jia
Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. KDD (2022)
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR (2022)
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM (2022)
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM (2021)
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey Sadler, Jacob Zwart, Xiaowei Jia
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. ICDM (2021)
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. CoRR (2021)
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey Sadler, Jacob Zwart, Xiaowei Jia
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. CoRR (2021)
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. IEEE BigData (2021)
Xiaowen Huang, Wenjie Zhang, Liwei Yang, Chai Kiat Yeo, Shengyu Chen
Two-Tier Spectrum Trading Strategy for Heterogeneous Cognitive Radio Networks. ITNAC (2019)
Hongyi Li, Shengyu Chen, Shaofeng Xu, Ziming Song, Jiaxin Chen, Di Zhao
EMI signal feature enhancement based on extreme energy difference and deep auto-encoder. IET Signal Process. 12 (7) (2018)