Siyan Liu

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

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

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

Siyan Liu, Chang Wu, Jiaxin Huang, Ying Zhang, Ming Ye, Yuhang Huang

IEEE Internet Things J., February, 2024

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

Ying Zhang, Chang Wu, Siyan Liu, Zejie Lv, Xiaoman Huang, Peng Wu

IEEE Internet Things J., 2024

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

Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang

CoRR, 2024

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

Aristeidis Tsaris, Chengming Zhang, Xiao Wang, Junqi Yin, Siyan Liu, Moetasim Ashfaq, Ming Fan, Jong-Youl Choi, Mohamed Wahib, Dan Lu, Prasanna Balaprakash, Fei-Yue Wang

CoRR, 2024

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

Xiao Wang, Aristeidis Tsaris, Siyan Liu, Jong-Youl Choi, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash

CoRR, 2024

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

Ji Luo, Wuyang Zhuo, Siyan Liu, Bingfei Xu

IEEE Access, 2024

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

Weizhen Bian, Siyan Liu, Yubo Zhou, Dezhi Chen, Yijie Liao, Zhenzhen Fan, Aobo Wang

Proceedings of the Knowledge Science, Engineering and Management, 2024

2023

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

Ming Fan, Siyan Liu, Dan Lu, Sudershan Gangrade, Shih-Chieh Kao

Environ. Model. Softw., December, 2023

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

Siyan Liu, Rong-Xia Hao, Rong Luo, Cun-Quan Zhang

SIAM J. Discret. Math., March, 2023

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

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

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

Wesley Brewer, Daniel Martinez, Muralikrishnan Gopalakrishnan Meena, Aditya Kashi, Katarzyna Borowiec, Siyan Liu, Christopher Pilmaier, Greg W. Burgreen, Shanti Bhushan

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

Graph Computing Applications In Unit Commitment Historical Data Management.

Yishen Wang, Fei Zhou, Hong Zhu, Siyan Liu, Zhuang Tang, He Yang

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022

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

Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker

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

Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods.

Ming Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu

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

2021

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

Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang, Zhang Zhang

J. Graph Theory, 2021

Berge-Fulkerson coloring for some families of superposition snarks.

Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang

Eur. J. Comb., 2021

PI3NN: Prediction intervals from three independently trained neural networks.

Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang

CoRR, 2021

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

Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang

Appl. Math. Comput., 2021

KuiLeiXi: a Chinese Open-Ended Text Adventure Game.

Yadong Xi, Xiaoxi Mao, Le Li, Lei Lin, Yanjiang Chen, Shuhan Yang, Xuhan Chen, Kailun Tao, Zhi Li, Gongzheng Li, Lin Jiang, Siyan Liu, Zeng Zhao, Minlie Huang, Changjie Fan, Zhipeng Hu

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.

Dan Lu, Siyan Liu, 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.

Siyan Liu, Amir H. Etemadi

IEEE Trans. Smart Grid, 2018

2017

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

Siyan Liu, Xuanjing Shen, Yuncong Feng, Haipeng Chen

Int. J. Biomed. Imaging, 2017

2014

A simplified prediction model for urban traffic network.

Yiyao Luo, Yugeng Xi, Dewei Li, Siyan Liu

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

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

Siyan Liu, Yugeng Xi, Dewei Li, Yiyao Luo

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