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

IRASim: Learning Interactive Real-Robot Action Simulators.
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

A Cross Domain Authentication Scheme Based on Blockchain.
Proceedings of the International Wireless Communications and Mobile Computing, 2024

TexVocab: Texture Vocabulary-Conditioned Human Avatars.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Cyberchondria and Chinese Adolescent Mental Health in the Age of COVID-19 Pandemic.
Cyberpsychology Behav. Soc. Netw., August, 2023

An intrusion detection method based on stacked sparse autoencoder and improved gaussian mixture model.
Comput. Secur., May, 2023

CLIP in Medical Imaging: A Comprehensive Survey.
CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task.
CoRR, 2023

3D Face Arbitrary Style Transfer.
CoRR, 2023

PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling.
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

Topology and Admittance Estimation: Precision Limits and Algorithms.
CoRR, 2021

2020
A Data-Driven Approach to Linearize Power Flow Equations Considering Measurement Noise.
IEEE Trans. Smart Grid, 2020

Guiding Cascading Failure Search with Interpretable Graph Convolutional Network.
CoRR, 2020

2019
Data-Driven Power Flow Linearization: A Regression Approach.
IEEE Trans. Smart Grid, 2019

Fast Power System Cascading Failure Path Searching with High Wind Power Penetration.
CoRR, 2019

Bounding Data-driven Model Errors in Power Grid Analysis.
CoRR, 2019

Research on Digital Animation Performance of Guanzhong Architectural Stone Carving.
Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019


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