Shengyu Chen

42 papers A* 4A 5Misc 2Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agent-based modeling of double-spending attacks using deep reinforcement learning.
Comput. Networks
Shenghao Jin, Hui Zhang, Shengyu Chen, Junhuan Zhang, Xing Liang, Yinchi Ge
2026 J jnl
Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators.
CoRR
Yilong Dai, Shengyu Chen, Ziyi Wang, Xiaowei Jia, Yiqun Xie, Vipin Kumar, Runlong Yu
2026 A* conf
Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.
WWW
Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen
2026 J jnl
PEST: Physics-Enhanced Swin Transformer for 3D Turbulence Simulation.
CoRR
Yilong Dai, Shengyu Chen, Xiaowei Jia, Peyman Givi, Runlong Yu
2026 — conf
Physics-enhanced Neural Operator: An Application in Simulating Turbulent Transport.
KDD (1)
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
2026 — conf
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
KDD (1)
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
2025 — conf
A Survey of Foundation Models for Environmental Science.
PAKDD (6)
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 J jnl
A Survey of Foundation Models for Environmental Science.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 J jnl
BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography.
CoRR
Shengyu Chen, Shihang Feng, Yi Luo, Xiaowei Jia, Youzuo Lin
2025 J jnl
Estimating daily reference evapotranspiration with reduced data input using ensemble learning models in arid and humid regions of China.
Comput. Electron. Agric.
Qi Wei, Junzeng Xu, Peng Chen, Shengyu Chen, Zihao Liu, Wenhao Qian, Zhiheng Huang, Jingyi Ren, Haoxuan Wang, Yimin Ding, Chao Lei, Zhiming Qi
2025 J jnl
Foundation Models for Environmental Science: A Survey of Emerging Frontiers.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia
2025 — conf
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
SIGSPATIAL/GIS
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 J jnl
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
CoRR
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 J jnl
Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.
CoRR
Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Haifeng Chen, Yanjie Fu
2025 J jnl
Representation Interventions Enable Lifelong Unstructured Knowledge Control.
CoRR
Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen
2025 J jnl
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
CoRR
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
2024 J jnl
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement.
CoRR
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
2024 — conf
Neighborhood Subgraph-based Illicit Transaction Detection in Cryptocurrency Networks.
IIKI
Shenghao Jin, Qiwen Yang, Shengyu Chen, Hui Zhang
2024 J jnl
Physics-enhanced Neural Operator for Simulating Turbulent Transport.
CoRR
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
2024 J jnl
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics.
ACM Trans. Intell. Syst. Technol.
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
2024 — conf
Sybil attack simulation on Enhanced IdAPoS protocol with different network topology.
IIKI
Shengyu Chen, Shenghao Jin, Yigang Wei, Hui Zhang
2023 J jnl
Capacity Allocation Optimization Framework for Hydrogen Integrated Energy System Considering Hydrogen Trading and Long-Term Hydrogen Storage.
IEEE Access
Luo Weiming, Jiekang Wu, Jinjian Cai, Yunshou Mao, Shengyu Chen
2023 Misc conf
Coordinated Virtual Inertial Control of DFIG with BESS for Frequency Support.
ISKE
Shengyu Chen, Guidong Zhang, Samson Shenglong Yu, Yun Zhang, Zhong Li
2023 J jnl
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
2023 J jnl
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.
CoRR
Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier
2023 A conf
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction.
CIKM
Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
2023 A conf
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions.
SDM
Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia
2023 A conf
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature.
SDM
Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat
2023 J jnl
Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst.
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
2023 J jnl
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.
CoRR
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
2022 J jnl
From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition.
Knowl. Based Syst.
Chen Guo, Yaojin Lin, Shengyu Chen, Zhichun Zeng, Mingwen Shao, Shaozi Li
2022 A conf
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
SDM
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022 J jnl
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
CoRR
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022 A conf
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.
UAI
Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia
2022 A* conf
Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks.
KDD
Shengyu Chen, Jacob A. Zwart, Xiaowei Jia
2021 A* conf
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.
ICDM
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia
2021 J jnl
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.
CoRR
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia
2021 A* conf
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
ICDM
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021 — conf
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.
IEEE BigData
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
2021 J jnl
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.
CoRR
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
2019 Misc conf
Two-Tier Spectrum Trading Strategy for Heterogeneous Cognitive Radio Networks.
ITNAC
Xiaowen Huang, Wenjie Zhang, Liwei Yang, Chai Kiat Yeo, Shengyu Chen
2018 J jnl
EMI signal feature enhancement based on extreme energy difference and deep auto-encoder.
IET Signal Process.
Hongyi Li, Shengyu Chen, Shaofeng Xu, Ziming Song, Jiaxin Chen, Di Zhao