Weibin Liao

Orcid: 0000-0002-9682-9934

According to our database1, Weibin Liao authored at least 17 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining.
IEEE Trans. Artif. Intell., September, 2024

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees.
CoRR, 2024

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation.
CoRR, 2024

Is larger always better? Evaluating and prompting large language models for non-generative medical tasks.
CoRR, 2024

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.
CoRR, 2024

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data.
CoRR, 2024

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.
CoRR, 2024

2023
Deep learning based MRI reconstruction with transformer.
Comput. Methods Programs Biomed., May, 2023

CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation.
CoRR, 2023

A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

2006
A Study of Chinese Web Characteristics and Their Implications on Web Search.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006


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