Shengyu Chen
Shengyu Chen
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
iRO-PsekGCC: identify DNA replication origins based on pseudo k-tuple GC composition
B Liu, S Chen, K Yan, F Weng
Frontiers in Genetics 10, 842, 2019
Physics-guided graph meta learning for predicting water temperature and streamflow in stream networks
S Chen, JA Zwart, X Jia
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows
T Bao, S Chen, TT Johnson, P Givi, S Sammak, X Jia
Uncertainty in Artificial Intelligence, 118-128, 2022
Physics-guided machine learning from simulation data: An application in modeling lake and river systems
X Jia, Y Xie, S Li, S Chen, J Zwart, J Sadler, A Appling, S Oliver, J Read
2021 IEEE International Conference on Data Mining (ICDM), 270-279, 2021
Identification of intrinsically disordered proteins and regions by length-dependent predictors based on conditional random fields
Y Liu, S Chen, X Wang, B Liu
Molecular Therapy-Nucleic Acids 17, 396-404, 2019
Heterogeneous stream-reservoir graph networks with data assimilation
S Chen, A Appling, S Oliver, H Corson-Dosch, J Read, J Sadler, J Zwart, ...
2021 IEEE International Conference on Data Mining (ICDM), 1024-1029, 2021
From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition
C Guo, Y Lin, S Chen, Z Zeng, M Shao, S Li
Knowledge-Based Systems 235, 107651, 2022
Reconstructing high-resolution turbulent flows using physics-guided neural networks
S Chen, S Sammak, P Givi, JP Yurko, X Jia
2021 IEEE International Conference on Big Data (Big Data), 1369-1379, 2021
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions
S Chen, Y Xie, X Li, X Liang, X Jia
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
Physics-guided machine learning from simulated data with different physical parameters
S Chen, N Kalanat, Y Xie, S Li, JA Zwart, JM Sadler, AP Appling, ...
Knowledge and Information Systems 65 (8), 3223-3250, 2023
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature
X Jia, S Chen, C Zheng, Y Xie, Z Jiang, N Kalanat
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature
X Jia, S Chen, Y Xie, H Yang, A Appling, S Oliver, Z Jiang
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
Updating knowledge in multigranulation decision‐theoretic rough set model based on decision support degree
G Lin, F Liu, S Chen, X Yu
The Journal of Engineering 2020 (13), 335-343, 2020
Two-tier spectrum trading strategy for heterogeneous cognitive radio networks
X Huang, W Zhang, L Yang, CK Yeo, S Chen
2019 29th International Telecommunication Networks and Applications …, 2019
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
S Luo, J Ni, S Chen, R Yu, Y Xie, L Liu, Z Jin, H Yao, X Jia
arXiv preprint arXiv:2311.10255, 2023
HOSSNet: An efficient physics-guided neural network for simulating micro-crack propagation
S Chen, S Feng, Y Huang, Z Lei, X Jia, Y Lin, E Rougier
Computational Materials Science 236, 112846, 2024
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics
S Chen, T Bao, P Givi, C Zheng, X Jia
ACM Transactions on Intelligent Systems and Technology 15 (1), 1-18, 2024
Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement for Turbulent Flow Reconstruction.
S Chen, P Givi, C Zheng, X Jia
Bulletin of the American Physical Society, 2023
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction
S Chen, N Kalanat, S Topp, J Sadler, Y Xie, Z Jiang, X Jia
Proceedings of the 32nd ACM International Conference on Information and …, 2023
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation
S Chen, S Feng, Y Huang, Z Lei, X Jia, Y Lin, E Rougier
arXiv preprint arXiv:2306.08783, 2023
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