| Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction Y Liu, Z Zhang, AJ Yepes, FD Salim Proceedings of the 13th ACM international conference on bioinformatics …, 2022 | 11 | 2022 |
| Compound density networks for risk prediction using electronic health records Y Liu, S Qin, Z Zhang, W Shao 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 10 | 2022 |
| Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs Y Liu, Z Zhang, S Qin, FD Salim, AJ Yepes Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 6 | 2023 |
| The short-term seasonal analyses between atmospheric environment and covid-19 in epidemic areas of cities in Australia, South Korea, and Italy Y Liu, X Lin, S Qin arXiv preprint arXiv:2005.12264, 2020 | 6 | 2020 |
| Integrated convolutional and recurrent neural networks for health risk prediction using patient journey data with many missing values Y Liu, S Qin, AJ Yepes, W Shao, Z Zhang, FD Salim 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 4 | 2022 |
| An interpretable machine learning approach for predicting hospital length of stay and readmission Y Liu, S Qin International Conference on Advanced Data Mining and Applications, 73-85, 2022 | 4 | 2022 |
| Graph Contrastive Learning as a Versatile Foundation for Advanced scRNA-seq Data Analysis Z Zhang, Y Liu, M Xiao, K Wang, Y Huang, J Bian, R Yang, F Li bioRxiv, 2024.04. 23.590693, 2024 | 3 | 2024 |
| A knowledge transfer model for Covid-19 predicting and non-pharmaceutical intervention simulation J Wang, X Lin, Y Liu, K Feng, H Lin arXiv preprint arXiv:2004.12433, 2020 | 3 | 2020 |
| Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records Y Liu, Z Zhang, S Qin 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 2 | 2023 |
| Global dynamics of a SUIR model with predicting COVID-19 J Wang, X Lin, Y Liu, H Lin, M Wu | 2 | 2020 |
| NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records Y Liu, Z Zhang, S Qin 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
| Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network Y Liu, S Qin, Z Zhang International Conference on Industrial, Engineering and Other Applications …, 2022 | 1 | 2022 |
| Boosting Patient Representation Learning via Graph Contrastive Learning Z Zhang, Y Liu, J Bian, AJ Yepes, J Shen, F Li, G Long, FD Salim Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks Y Liu, Z Zhang, S Qin, FD Salim, J Bian, AJ Yepes 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI), 1-10, 2024 | | 2024 |
| Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series Y Liu, Z Zhang, S Qin, J Bian 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI …, 2024 | | 2024 |
| Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction Y Liu, Z Zhang, S Qin, FD Salim, AJ Yepes, J Shen, J Bianll 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI …, 2024 | | 2024 |
| A Multi-Graph Fusion Framework for Patient Representation Learning Y Liu, Z Zhang, S Qin, FD Salim 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI …, 2024 | | 2024 |
| Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction Y Liu, Z Zhang, C Thompson, R Leibbrandt, S Qin, AJ Yepes 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
| Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework Y Liu, S Qin International Conference on Industrial, Engineering and Other Applications …, 2022 | | 2022 |
| An analyses of the impact of climatic and environmental conditions on COVID-19 prevalence in epidemic areas in Australia, South Korea, and Italy Y Liu, Z Zhang, S Qin, J Shen, J Bian | | |
Zhenhao ZhangUniversity of Adelaide在 adelaide.edu.au 的电子邮件经过验证
