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Siyan Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning.

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CoRR, June, 2025

A Fully Parallel and Scalable FDSE Approach Based on Balanced Measurements Partitioning and Graph Node-Centric Hash Storage.

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IEEE Trans. Ind. Informatics, March, 2025

Five-cycle double cover and shortest cycle cover.

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J. Graph Theory, January, 2025

Corrections to "The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data".

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IEEE Access, 2025

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot.

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Proceedings of the ACM on Web Conference 2025, 2025

2024

Blockchain-Based Interpretable Electric Vehicle Battery Life Prediction in IoV.

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IEEE Internet Things J., February, 2024

A Parking Detection Algorithm Based on Multitransitory Finite-State Machine Using Magnetic Wireless Sensor Network.

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IEEE Internet Things J., 2024

CogSimulator: A Model for Simulating User Cognition & Behavior with Minimal Data for Tailored Cognitive Enhancement.

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CoRR, 2024

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

[BibT_eX]

[DOI]

Aristeidis Tsaris

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Chengming Zhang

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Moetasim Ashfaq

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Prasanna Balaprakash

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CoRR, 2024

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

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Aristeidis Tsaris

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Moetasim Ashfaq

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Prasanna Balaprakash

CoRR, 2024

The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data.

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IEEE Access, 2024

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

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Hristo G. Chipilski

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Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

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

[BibT_eX]

[DOI]

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Aristeidis Tsaris

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Moetasim Ashfaq

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Prasanna Balaprakash

Proceedings of the International Conference for High Performance Computing, 2024

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model.

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Proceedings of the Knowledge Science, Engineering and Management, 2024

2023

Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification.

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Sudershan Gangrade

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Environ. Model. Softw., December, 2023

5-Cycle Double Covers, 4-Flows, and Catlin Reduction.

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SIAM J. Discret. Math., March, 2023

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

[BibT_eX]

[DOI]

Shuaiwen Leon Song

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Chengming Zhang

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Masahiro Tanaka

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Ammar Ahmad Awan

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Jonathan A. Weyn

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Sylwester Klocek

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Volodymyr Vragov

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Mohammed AlQuraishi

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Christina Floristean

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Venkatram Vishwanath

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Arvind Ramanathan

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Alexander Brace

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Cindy Orozco Bohorquez

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Danilo Perez-Rivera

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Michael W. Irvin

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J. Gregory Pauloski

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Valérie Hayot-Sasson

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Michael E. Papka

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Thomas S. Brettin

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Prasanna Balaprakash

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Heidi A. Hanson

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Thomas E. Potok

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Massimiliano Lupo Pasini

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Dalton D. Lunga

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Mallikarjun Shankar

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Alexey Svyatkovskiy

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Michael J. Schulte

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Christian Dallago

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Anima Anandkumar

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CoRR, 2023

Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates.

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[DOI]

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Daniel Martínez

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Muralikrishnan Gopalakrishnan Meena

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Katarzyna Borowiec

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Christopher Pilmaier

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Greg W. Burgreen

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Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Graph Computing Applications In Unit Commitment Historical Data Management.

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Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022

PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning.

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[DOI]

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Daniel M. Ricciuto

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Anthony P. Walker

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods.

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Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Berge-Fulkerson coloring for C ( 12 ) -linked permutation graphs.

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J. Graph Theory, 2021

Berge-Fulkerson coloring for some families of superposition snarks.

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Eur. J. Comb., 2021

PI3NN: Prediction intervals from three independently trained neural networks.

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CoRR, 2021

Rotation snark, Berge-Fulkerson conjecture and Catlin's 4-flow reduction.

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Appl. Math. Comput., 2021

KuiLeiXi: a Chinese Open-Ended Text Adventure Game.

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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.

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Daniel M. Ricciuto

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

A Dynamic Stochastic Optimization for Recharging Plug-In Electric Vehicles.

[BibT_eX]

[DOI]

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Amir H. Etemadi

IEEE Trans. Smart Grid, 2018

2017

A Novel Histogram Region Merging Based Multithreshold Segmentation Algorithm for MR Brain Images.

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Int. J. Biomed. Imaging, 2017

2014

A simplified prediction model for urban traffic network.

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Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Cell-Link Model for state forecasting of urban road traffic network.

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Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

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