Siyan Liu

Orcid: 0000-0003-2017-3251

According to our database1, Siyan Liu authored at least 25 papers between 2014 and 2024.

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Bibliography

2024
Blockchain-Based Interpretable Electric Vehicle Battery Life Prediction in IoV.
IEEE Internet Things J., February, 2024

A Parking Detection Algorithm Based on Multitransitory Finite-State Machine Using Magnetic Wireless Sensor Network.
IEEE Internet Things J., 2024

A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics.
CoRR, 2024

Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier.
CoRR, 2024

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability.
CoRR, 2024

The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data.
IEEE Access, 2024

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model.
Proceedings of the Knowledge Science, Engineering and Management, 2024

2023
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification.
Environ. Model. Softw., December, 2023

5-Cycle Double Covers, 4-Flows, and Catlin Reduction.
SIAM J. Discret. Math., March, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023

Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Graph Computing Applications In Unit Commitment Historical Data Management.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Berge-Fulkerson coloring for C ( 12 ) -linked permutation graphs.
J. Graph Theory, 2021

Berge-Fulkerson coloring for some families of superposition snarks.
Eur. J. Comb., 2021

PI3NN: Prediction intervals from three independently trained neural networks.
CoRR, 2021

Rotation snark, Berge-Fulkerson conjecture and Catlin's 4-flow reduction.
Appl. Math. Comput., 2021

KuiLeiXi: a Chinese Open-Ended Text Adventure Game.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
A Dynamic Stochastic Optimization for Recharging Plug-In Electric Vehicles.
IEEE Trans. Smart Grid, 2018

2017
A Novel Histogram Region Merging Based Multithreshold Segmentation Algorithm for MR Brain Images.
Int. J. Biomed. Imaging, 2017

2014
A simplified prediction model for urban traffic network.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Cell-Link Model for state forecasting of urban road traffic network.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014


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