Siyan Liu

41 papers A* 3A 1B 1C 1Journal 26Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A note on 2-quasi-bisection of cubic graphs with oddness 2.
Discret. Math.
Siyan Liu, Rong-Xia Hao, Rong Luo, Cun-Quan Zhang
2025 J jnl
A Fully Parallel and Scalable FDSE Approach Based on Balanced Measurements Partitioning and Graph Node-Centric Hash Storage.
IEEE Trans. Ind. Informatics
Yinglong Ma, Tingdong Wang, Chenqi Guo, Yanbo Chen, Siyan Liu
2025 A* conf
A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning.
IJCAI
Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao
2025 J jnl
A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning.
CoRR
Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao
2025 J jnl
Corrections to "The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data".
IEEE Access
Ji Luo, Wuyang Zhuo, Siyan Liu, Bingfei Xu
2025 J jnl
Five-cycle double cover and shortest cycle cover.
J. Graph Theory
Siyan Liu, Rong-Xia Hao, Rong Luo, Cun-Quan Zhang
2025 A* conf
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot.
WWW
Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao
2025 J jnl
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot.
CoRR
Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao
2025 J jnl
Optimizing Deep Learning Models for Climate-Related Natural Disaster Detection from UAV Images and Remote Sensing Data.
J. Imaging
Kim VanExel, Samendra Sherchan, Siyan Liu
2024 J jnl
A Parking Detection Algorithm Based on Multitransitory Finite-State Machine Using Magnetic Wireless Sensor Network.
IEEE Internet Things J.
Ying Zhang, Chang Wu, Siyan Liu, Zejie Lv, Xiaoman Huang, Peng Wu
2024 — conf
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics.
SC Workshops
Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang
2024 J jnl
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics.
CoRR
Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang
2024 J jnl
Blockchain-Based Interpretable Electric Vehicle Battery Life Prediction in IoV.
IEEE Internet Things J.
Siyan Liu, Chang Wu, Jiaxin Huang, Ying Zhang, Ming Ye, Yuhang Huang
2024 B conf
CogSimulator: A Model for Simulating User Cognition & Behavior with Minimal Data for Tailored Cognitive Enhancement.
CogSci
Weizhen Bian, Yubo Zhou, Yuanhang Luo, Ming Mo, Siyan Liu, Yikai Gong, Ziyuan Luo, Aobo Wang, Renjie Wan
2024 J jnl
CogSimulator: A Model for Simulating User Cognition & Behavior with Minimal Data for Tailored Cognitive Enhancement.
CoRR
Weizhen Bian, Yubo Zhou, Yuanhang Luo, Ming Mo, Siyan Liu, Yikai Gong, Renjie Wan, Ziyuan Luo, Aobo Wang
2024 — conf
IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model.
KSEM (5)
Weizhen Bian, Siyan Liu, Yubo Zhou, Dezhi Chen, Yijie Liao, Zhenzhen Fan, Aobo Wang
2024 J jnl
IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model.
CoRR
Weizhen Bian, Siyan Liu, Yubo Zhou, Dezhi Chen, Yijie Liao, Zhenzhen Fan, Aobo Wang
2024 A conf
ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability.
SC
Xiao Wang, Siyan Liu, Aristeidis Tsaris, Jong-Youl Choi, Ashwin M. Aji, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash
2024 J jnl
ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability.
CoRR
Xiao Wang, Aristeidis Tsaris, Siyan Liu, Jong-Youl Choi, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash
2024 J jnl
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier.
CoRR
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
2024 J jnl
The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data.
IEEE Access
Ji Luo, Wuyang Zhuo, Siyan Liu, Bingfei Xu
2023 J jnl
5-Cycle Double Covers, 4-Flows, and Catlin Reduction.
SIAM J. Discret. Math.
Siyan Liu, Rong-Xia Hao, Rong Luo, Cun-Quan Zhang
2023 J jnl
A coin selection strategy based on the greedy and genetic algorithm.
Complex Intell. Syst.
Xuelin Wei, Chang Wu, Haoran Yu, Siyan Liu, Yihong Yuan
2023 J jnl
A federated learning algorithm using parallel-ensemble method on non-IID datasets.
Complex Intell. Syst.
Haoran Yu, Chang Wu, Haixin Yu, Xuelin Wei, Siyan Liu, Ying Zhang
2023 J jnl
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR
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 W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023 — conf
Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates.
SC Workshops
Wesley Brewer, Daniel Martínez, Muralikrishnan Gopalakrishnan Meena, Aditya Kashi, Katarzyna Borowiec, Siyan Liu, Christopher Pilmaier, Greg W. Burgreen, Shanti Bhushan
2023 J jnl
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification.
Environ. Model. Softw.
Ming Fan, Siyan Liu, Dan Lu, Sudershan Gangrade, Shih-Chieh Kao
2023 C conf
Graph Computing Applications In Unit Commitment Historical Data Management.
iSPEC
Yishen Wang, Fei Zhou, Hong Zhu, Siyan Liu, Zhuang Tang, He Yang
2022 — conf
Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods.
ICDM (Workshops)
Ming Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu
2022 — conf
Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning.
ICDM (Workshops)
Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker
2022 A* conf
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks.
ICLR
Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
2021 J jnl
Berge-Fulkerson coloring for C ( 12 ) -linked permutation graphs.
J. Graph Theory
Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang, Zhang Zhang
2021 J jnl
Berge-Fulkerson coloring for some families of superposition snarks.
Eur. J. Comb.
Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang
2021 — conf
KuiLeiXi: a Chinese Open-Ended Text Adventure Game.
ACL (demo)
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
2021 J jnl
PI3NN: Prediction intervals from three independently trained neural networks.
CoRR
Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
2021 J jnl
Rotation snark, Berge-Fulkerson conjecture and Catlin's 4-flow reduction.
Appl. Math. Comput.
Siyan Liu, Rong-Xia Hao, Cun-Quan Zhang
2019 — conf
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science.
ICDM Workshops
Dan Lu, Siyan Liu, Daniel M. Ricciuto
2018 J jnl
A Dynamic Stochastic Optimization for Recharging Plug-In Electric Vehicles.
IEEE Trans. Smart Grid
Siyan Liu, Amir H. Etemadi
2017 J jnl
A Novel Histogram Region Merging Based Multithreshold Segmentation Algorithm for MR Brain Images.
Int. J. Biomed. Imaging
Siyan Liu, Xuanjing Shen, Yuncong Feng, Haipeng Chen
2014 — conf
A simplified prediction model for urban traffic network.
SOLI
Yiyao Luo, Yugeng Xi, Dewei Li, Siyan Liu
2014 — conf
Cell-Link Model for state forecasting of urban road traffic network.
SOLI
Siyan Liu, Yugeng Xi, Dewei Li, Yiyao Luo