Zhenhao Zhang
Orcid: 0009-0001-9242-9618
According to our database1,
Zhenhao Zhang
authored at least 32 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
FusFormer: global and detail feature fusion transformer for semantic segmentation of small objects.
Multim. Tools Appl., December, 2024
Vis. Comput., November, 2024
GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems.
Inf. Process. Manag., January, 2024
Anger Speaks Louder? Exploring the Effects of AI Nonverbal Emotional Cues on Human Decision Certainty in Moral Dilemmas.
CoRR, 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.
CoRR, 2024
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis.
Briefings Bioinform., 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Proceedings of the Computer Security - ESORICS 2024, 2024
Creating an authoring tool for K-12 teachers to design ML-supported scientific inquiry learning.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 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
Proceedings of the Artificial Neural Networks and Machine Learning, 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