Shengyu Chen

According to our database, Shengyu Chen authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics.

Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia

ACM Trans. Intell. Syst. Technol., February, 2024

2023

Physics-guided machine learning from simulated data with different physical parameters.

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

Knowl. Inf. Syst., 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

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.

Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier

CoRR, 2023

Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.

Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia

CoRR, 2023

Capacity Allocation Optimization Framework for Hydrogen Integrated Energy System Considering Hydrogen Trading and Long-Term Hydrogen Storage.

Luo Weiming, Wu Jiekang, Jinjian Cai, Yunshou Mao, Shengyu Chen

IEEE Access, 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, Nasrin Kalanat

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions.

Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Coordinated Virtual Inertial Control of DFIG with BESS for Frequency Support.

Shengyu Chen, Guidong Zhang, Samson Shenglong Yu, Yun Zhang, Zhong Li

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction.

Shengyu Chen, Nasrin Kalanat, Simon Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition.

Chen Guo, Yaojin Lin, Shengyu Chen, Zhichun Zeng, Mingwen Shao, Shaozi Li

Knowl. Based Syst., 2022

Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.

Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia

Proceedings of the Uncertainty in Artificial Intelligence, 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

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks.

Shengyu Chen, Jacob A. Zwart, Xiaowei Jia

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.

Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read

Proceedings of the IEEE International Conference on Data Mining, 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

Proceedings of the IEEE International Conference on Data Mining, 2021

Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.

Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Two-Tier Spectrum Trading Strategy for Heterogeneous Cognitive Radio Networks.

Xiaowen Huang, Wenjie Zhang, Liwei Yang, Chai Kiat Yeo, Shengyu Chen

Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019

2018

EMI signal feature enhancement based on extreme energy difference and deep auto-encoder.

Hongyi Li, Shengyu Chen, Shaofeng Xu, Ziming Song, Jiaxin Chen, Di Zhao

IET Signal Process., 2018