Xinyu Dong
Orcid: 0000-0001-7606-4826
According to our database1,
Xinyu Dong
authored at least 28 papers
between 2017 and 2023.
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Bibliography
2023
Secure Computation Offloading for Marine IoT: An Energy-Efficient Design via Cooperative Jamming.
IEEE Trans. Veh. Technol., May, 2023
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction.
Artif. Intell. Medicine, January, 2023
An integrated framework for accelerating reactive flow simulation using GPU and machine learning models.
CoRR, 2023
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction.
CoRR, 2023
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023
Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Energy Minimization with Secrecy Provisioning in Federated Learning-Assisted Marine Digital Twin Networks.
Proceedings of the IEEE International Conference on Communications, 2023
2022
A Feature Fusion Airport Detection Method Based on the Whole Scene Multispectral Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
An Impervious Surface Spectral Index on Multispectral Imagery Using Visible and Near-Infrared Bands.
Remote. Sens., 2022
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.
CoRR, 2022
Stand density estimation based on fractional vegetation coverage from Sentinel-2 satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.
Proceedings of the AMIA 2022, 2022
2021
An Improved K -Means Clustering Intrusion Detection Algorithm for Wireless Networks Based on Federated Learning.
Wirel. Commun. Mob. Comput., 2021
Exploitation of Time Series Sentinel-2 Data and Different Machine Learning Algorithms for Detailed Tree Species Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning.
J. Biomed. Informatics, 2021
Identifying risk of opioid use disorder for patients taking opioid medications with deep learning.
J. Am. Medical Informatics Assoc., 2021
Comput. Informatics, 2021
An Enhanced Hemostatic Ultrasonic Scalpel Based on the Longitudinal-Torsional Vibration Mode.
IEEE Access, 2021
2020
Extraction of Information about Individual Trees from High-Spatial-Resolution UAV-Acquired Images of an Orchard.
Remote. Sens., 2020
2019
Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study.
Remote. Sens., 2019
Proceedings of the AMIA 2019, 2019
2018
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
2017
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017