Shengyu Chen

According to our database, Shengyu Chen authored at least 36 papers between 2018 and 2026.

Collaborative distances:

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

2026

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing.

Yilong Dai, Shengyu Chen, Xiaowei Jia, Runlong Yu

CoRR, April, 2026

PEST: Physics-Enhanced Swin Transformer for 3D Turbulence Simulation.

Yilong Dai, Shengyu Chen, Xiaowei Jia, Peyman Givi, Runlong Yu

CoRR, February, 2026

Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators.

Yilong Dai, Shengyu Chen, Ziyi Wang, Xiaowei Jia, Yiqun Xie, Vipin Kumar, Runlong Yu

CoRR, January, 2026

Agent-based modeling of double-spending attacks using deep reinforcement learning.

Shenghao Jin, Hui Zhang, Shengyu Chen, Junhuan Zhang, Xing Liang, Yinchi Ge

Comput. Networks, 2026

Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.

Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen

Proceedings of the ACM Web Conference 2026, 2026

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.

Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Physics-enhanced Neural Operator: An Application in Simulating Turbulent Transport.

Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Representation Interventions Enable Lifelong Unstructured Knowledge Control.

Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen

CoRR, November, 2025

BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography.

Shengyu Chen, Shihang Feng, Yi Luo, Xiaowei Jia, Youzuo Lin

CoRR, October, 2025

Foundation Models for Environmental Science: A Survey of Emerging Frontiers.

Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia

CoRR, April, 2025

Estimating daily reference evapotranspiration with reduced data input using ensemble learning models in arid and humid regions of China.

Qi Wei, Qi Wei, Junzeng Xu, Peng Chen, Shengyu Chen, Zihao Liu, Wenhao Qian, Zhiheng Huang, Jingyi Ren, Haoxuan Wang, Yimin Ding, Chao Lei, Zhiming Qi

Comput. Electron. Agric., 2025

A Survey of Foundation Models for Environmental Science.

Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia

Proceedings of the Data Science: Foundations and Applications, 2025

Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.

Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

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

Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement.

Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia

CoRR, 2024

Physics-enhanced Neural Operator for Simulating Turbulent Transport.

Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia

CoRR, 2024

Neighborhood Subgraph-based Illicit Transaction Detection in Cryptocurrency Networks.

Shenghao Jin, Qiwen Yang, Shengyu Chen, Hui Zhang

Proceedings of the International Conference on Identification, 2024

Sybil attack simulation on Enhanced IdAPoS protocol with different network topology.

Shengyu Chen, Shenghao Jin, Yigang Wei, Hui Zhang

Proceedings of the International Conference on Identification, 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, Jiekang Wu, 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 N. 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