Yuxi Liu - RankMe

26 papers B 3C 3Journal 10Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian
2025	J	`jnl`	GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation. J. Biomed. Informatics Yuxi Liu, Zhenhao Zhang, Jiacong Mi, Shirui Pan, Tianlong Chen, Yi Guo, Xing He, Jiang Bian
2025	J	`jnl`	Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data. J. Biomed. Informatics Hao Dai, Yu Huang, Yuxi Liu, Xing He, Jingchuan Guo, Mattia Prosperi, Jiang Bian
2024	—	`conf`	A Multi-Graph Fusion Framework for Patient Representation Learning. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim
2024	—	`conf`	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) Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian
2024	—	`conf`	Boosting Patient Representation Learning via Graph Contrastive Learning. ECML/PKDD (9) Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim
2024	—	`conf`	Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Jiang Bian, Antonio Jimeno-Yepes
2024	J	`jnl`	Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis. Briefings Bioinform. Zhenhao Zhang, Yuxi Liu, Meichen Xiao, Kun Wang, Yu Huang, Jiang Bian, Ruolin Yang, Fuyi Li
2024	—	`conf`	Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen, Jiang Bian
2024	—	`conf`	Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jiang Bian
2023	—	`conf`	Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. ECML/PKDD (6) Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes
2023	J	`jnl`	Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs. CoRR Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes
2023	B	`conf`	Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. IJCNN Yuxi Liu, Zhenhao Zhang, Shaowen Qin
2023	J	`jnl`	Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. CoRR Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen
2023	B	`conf`	NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. IJCNN Yuxi Liu, Zhenhao Zhang, Shaowen Qin
2023	B	`conf`	Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. IJCNN Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes
2022	—	`conf`	Compound Density Networks for Risk Prediction using Electronic Health Records. BIBM Yuxi Liu, Shaowen Qin, Zhenhao Zhang, Wei Shao
2022	J	`jnl`	Compound Density Networks for Risk Prediction using Electronic Health Records. CoRR Yuxi Liu, Zhenhao Zhang, Shaowen Qin
2022	C	`conf`	Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network. IEA/AIE Yuxi Liu, Shaowen Qin, Zhenhao Zhang
2022	C	`conf`	Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework. IEA/AIE Yuxi Liu, Shaowen Qin
2022	—	`conf`	Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. BIBM Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim
2022	J	`jnl`	Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. CoRR Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim
2022	J	`jnl`	Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction. CoRR Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim
2022	—	`conf`	Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction. BCB Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim
2021	C	`conf`	An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and Readmission. ADMA Yuxi Liu, Shaowen Qin
2019	J	`jnl`	Brain Image Recognition Algorithm and High Performance Computing of Internet of Medical Things Based on Convolutional Neural Network. IEEE Access Yuxi Liu, Jun Xiong