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Siyan Liu
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2020 – today
- 2024
- [j10]Ji Luo, Wuyang Zhuo, Siyan Liu, Bingfei Xu:
The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data. IEEE Access 12: 14690-14702 (2024) - [j9]Siyan Liu, Chang Wu, Jiaxin Huang, Ying Zhang, Ming Ye, Yuhang Huang:
Blockchain-Based Interpretable Electric Vehicle Battery Life Prediction in IoV. IEEE Internet Things J. 11(4): 7214-7227 (2024) - [j8]Ying Zhang, Chang Wu, Siyan Liu, Zejie Lv, Xiaoman Huang, Peng Wu:
A Parking Detection Algorithm Based on Multitransitory Finite-State Machine Using Magnetic Wireless Sensor Network. IEEE Internet Things J. 11(5): 8360-8372 (2024) - [c10]Weizhen Bian, Siyan Liu, Yubo Zhou, Dezhi Chen, Yijie Liao, Zhenzhen Fan, Aobo Wang:
IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model. KSEM (5) 2024: 270-282 - [i5]Xiao Wang, Aristeidis Tsaris, Siyan Liu, Jong-Youl Choi, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash:
ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. CoRR abs/2404.14712 (2024) - [i4]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:
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier. CoRR abs/2405.15780 (2024) - [i3]Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang:
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. CoRR abs/2407.12168 (2024) - 2023
- [j7]Ming Fan, Siyan Liu, Dan Lu, Sudershan Gangrade, Shih-Chieh Kao:
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification. Environ. Model. Softw. 170: 105849 (2023) - [j6]Siyan Liu, Rong-Xia Hao, Rong Luo, Cun-Quan Zhang:
5-Cycle Double Covers, 4-Flows, and Catlin Reduction. SIAM J. Discret. Math. 37(1): 253-267 (2023) - [c9]Yishen Wang, Fei Zhou, Hong Zhu, Siyan Liu, Zhuang Tang, He Yang:
Graph Computing Applications In Unit Commitment Historical Data Management. iSPEC 2023: 1-5 - [c8]Wesley Brewer, Daniel Martinez, Muralikrishnan Gopalakrishnan Meena, Aditya Kashi, Katarzyna Borowiec, Siyan Liu, Christopher Pilmaier, Greg W. Burgreen, Shanti Bhushan:
Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates. SC Workshops 2023: 73-80 - [i2]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:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [c7]Ming Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu:
Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods. ICDM (Workshops) 2022: 1102-1110 - [c6]Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker:
Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning. ICDM (Workshops) 2022: 1111-1119 - [c5]Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang:
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks. ICLR 2022 - 2021
- [j5]Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang:
Rotation snark, Berge-Fulkerson conjecture and Catlin's 4-flow reduction. Appl. Math. Comput. 410: 126441 (2021) - [j4]Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang:
Berge-Fulkerson coloring for some families of superposition snarks. Eur. J. Comb. 96: 103344 (2021) - [j3]Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang, Zhang Zhang:
Berge-Fulkerson coloring for C ( 12 ) -linked permutation graphs. J. Graph Theory 98(4): 662-675 (2021) - [c4]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:
KuiLeiXi: a Chinese Open-Ended Text Adventure Game. ACL (demo) 2021: 175-184 - [i1]Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang:
PI3NN: Prediction intervals from three independently trained neural networks. CoRR abs/2108.02327 (2021)
2010 – 2019
- 2019
- [c3]Dan Lu, Siyan Liu, Daniel M. Ricciuto:
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science. ICDM Workshops 2019: 270-278 - 2018
- [j2]Siyan Liu, Amir H. Etemadi:
A Dynamic Stochastic Optimization for Recharging Plug-In Electric Vehicles. IEEE Trans. Smart Grid 9(5): 4154-4161 (2018) - 2017
- [j1]Siyan Liu, Xuanjing Shen, Yuncong Feng, Haipeng Chen:
A Novel Histogram Region Merging Based Multithreshold Segmentation Algorithm for MR Brain Images. Int. J. Biomed. Imaging 2017: 9759414:1-9759414:6 (2017) - 2014
- [c2]Yiyao Luo, Yugeng Xi, Dewei Li, Siyan Liu:
A simplified prediction model for urban traffic network. SOLI 2014: 286-291 - [c1]Siyan Liu, Yugeng Xi, Dewei Li, Yiyao Luo:
Cell-Link Model for state forecasting of urban road traffic network. SOLI 2014: 292-297
Coauthor Index
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last updated on 2024-10-07 21:09 CEST by the dblp team
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