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ORCIDYuxi Liu 0003
Person information
- affiliation: University of Florida, Gainesville, FL, USA
Other persons with the same name
- Yuxi Liu — disambiguation page
- Yuxi Liu 0001
![[0000-0003-1212-9920]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1212-9920")
— Beijing Normal University, Beijing, China - Yuxi Liu 0002 — Tsinghua University, Beijing, China
- Yuxi Liu 0004 — Tianjin University of Technology and Education, Tianjin, China
- Yuxi Liu 0005 — Peking University, Shenzhen, China
- Yuxi Liu 0006 — China Education and Research Network, Beijing, China
- Yuxi Liu 0007 — Beijing China-Power Information Technology Co, Ltd, Beijing, China
- Yuxi Liu 0008 — Delft University of Technology, The Netherlands
- Yuxi Liu 0009 — University of California, Berkeley, CA, USA
- Yuxi Liu 0010 — Western University, London, Ontario, Canada
- Yuxi Liu 0011 — Xi'an Research Institute of High Technology, Xi'an, China
- Yuxi Liu 0012 — Northwestern Polytechnical University, Xi'an, Shaanxi, China
- Yuxi Liu 0013 — Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Yuxi Liu 0014 — University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Yuxi Liu 0015 — Duke University, Durham, NC, USA
- Yuxi Liu 0016 — Harbin Engineering University, Harbin, Heilongjiang, China
- Yuxi Liu 0017 — Peng Cheng Laboratory, Shenzhen, China
- Yuxi Liu 0018 — Southwest Jiaotong University, Chengdu, China
- Yuxi Liu 0019 — Hunan University, Changsha, China
- Yuxi Liu 0020 — Beijing Jiaotong University, Beijing, China
- Yuxi Liu 0021 — South China Normal University, Guangzhou, China
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2020 – today
- 2025
[j5]Yuxi Liu, Zhenhao Zhang, Jiacong Mi, Shirui Pan, Tianlong Chen, Yi Guo, Xing He, Jiang Bian:
GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation. J. Biomed. Informatics 168: 104851 (2025)- [j4]Hao Dai, Yu Huang, Yuxi Liu, Xing He, Jingchuan Guo, Mattia Prosperi, Jiang Bian:
Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data. J. Biomed. Informatics 169: 104880 (2025) - [j3]Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian:
A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. 327: 114102 (2025) - 2024
- [j2]Zhenhao Zhang, Yuxi Liu, Meichen Xiao, Kun Wang, Yu Huang, Jiang Bian, Ruolin Yang, Fuyi Li:
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis. Briefings Bioinform. 25(6) (2024) - [c16]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian:
An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. ADMA (4) 2024: 33-47 - [c15]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Jiang Bian, Antonio Jimeno-Yepes:
Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks. ICHI 2024: 1-10 - [c14]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen, Jiang Bian:
Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction. ICHI 2024: 123-128 - [c13]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jiang Bian:
Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series. ICHI 2024: 135-140 - [c12]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim:
A Multi-Graph Fusion Framework for Patient Representation Learning. ICHI 2024: 222-227 - [c11]Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim:
Boosting Patient Representation Learning via Graph Contrastive Learning. ECML/PKDD (9) 2024: 335-350 - 2023
- [c10]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. IJCNN 2023: 1-8 - [c9]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. IJCNN 2023: 1-9 - [c8]Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes:
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. IJCNN 2023: 1-8 - [c7]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. ECML/PKDD (6) 2023: 428-443 - [i5]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs. CoRR abs/2308.09896 (2023) - [i4]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen:
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. CoRR abs/2308.12575 (2023) - 2022
- [c6]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction. BCB 2022: 16:1-16:10 - [c5]Yuxi Liu, Shaowen Qin, Zhenhao Zhang, Wei Shao:
Compound Density Networks for Risk Prediction using Electronic Health Records. BIBM 2022: 1078-1085 - [c4]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. BIBM 2022: 1658-1663 - [c3]Yuxi Liu, Shaowen Qin:
Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework. IEA/AIE 2022: 89-100 - [c2]Yuxi Liu, Shaowen Qin, Zhenhao Zhang:
Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network. IEA/AIE 2022: 147-159 - [i3]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction. CoRR abs/2207.06414 (2022) - [i2]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Compound Density Networks for Risk Prediction using Electronic Health Records. CoRR abs/2208.01320 (2022) - [i1]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. CoRR abs/2211.06045 (2022) - 2021
- [c1]Yuxi Liu, Shaowen Qin:
An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and Readmission. ADMA 2021: 73-85
2010 – 2019
- 2019
- [j1]Yuxi Liu, Jun Xiong:
Brain Image Recognition Algorithm and High Performance Computing of Internet of Medical Things Based on Convolutional Neural Network. IEEE Access 7: 108633-108646 (2019)
Coauthor Index
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