Zhenhao Zhang
Orcid: 0000-0002-7533-5038
According to our database1,
Zhenhao Zhang
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems.
Inf. Process. Manag., January, 2024
2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction.
CoRR, 2023
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2023
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
A Wiener degradation process with drift-based approach of determining target reliability index of concrete structures.
Qual. Reliab. Eng. Int., 2022
Characterizing collaborative transcription regulation with a graph-based deep learning approach.
PLoS Comput. Biol., 2022
CoRR, 2022
Quantification and statistical analysis on the cranial vault morphology for Chinese children 3-10 years old.
Comput. Methods Programs Biomed., 2022
Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2020
RobNet: real-time road-object 3D point cloud segmentation based on SqueezeNet and cyclic CRF.
Soft Comput., 2020
Dynamic reliability analysis of nonlinear structures using a Duffing-system-based equivalent nonlinear system method.
Int. J. Approx. Reason., 2020
2019
Automatic Differentiation Based Resource Allocation Algorithm for Heterogeneous Networks.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019