Yuxiao Liu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine.
IEEE J. Biomed. Health Informatics, January, 2025
2024
Event-Triggered Distributed Adaptive Leaderless Consensus of Uncertain Heterogenous Nonlinear Multi-Agent Systems.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2024
Overlapping object detection with adaptive Gaussian sample division and asymmetric weighted loss.
Knowl. Based Syst., 2024
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.
CoRR, 2024
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports.
CoRR, 2024
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis.
Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Cyberpsychology Behav. Soc. Netw., August, 2023
An intrusion detection method based on stacked sparse autoencoder and improved gaussian mixture model.
Comput. Secur., May, 2023
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023
Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Analytical Adequacy Evaluation for Power Consumers With UPS in Distribution Networks.
IEEE Trans. Smart Grid, 2022
2021
Evaluating the Dispatchable Capacity of Base Station Backup Batteries in Distribution Networks.
IEEE Trans. Smart Grid, 2021
Searching for Critical Power System Cascading Failures With Graph Convolutional Network.
IEEE Trans. Control. Netw. Syst., 2021
2020
A Data-Driven Approach to Linearize Power Flow Equations Considering Measurement Noise.
IEEE Trans. Smart Grid, 2020
CoRR, 2020
2019
IEEE Trans. Smart Grid, 2019
CoRR, 2019
Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019