Li Xiao

Orcid: 0000-0002-3063-0869

Affiliations:

Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Beijing, China
Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Medical Imaging, Robotics, Analytic Computing Laboratory & Engineering (MIRACLE), Beijing, China

According to our database¹, Li Xiao authored at least 29 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Noise Optimization in Artificial Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2025

Diffusion-based diverse audio captioning with retrieval-guided Langevin dynamics.

[BibT_eX]

[DOI]

Yonggang Zhu

Aidong Men

Li Xiao

Inf. Fusion, 2025

2023

Radiology report generation with a learned knowledge base and multi-modal alignment.

[BibT_eX]

[DOI]

Medical Image Anal., May, 2023

2022

Knowledge matters: Chest radiology report generation with general and specific knowledge.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

A New Likelihood Ratio Method for Training Artificial Neural Networks.

[BibT_eX]

[DOI]

INFORMS J. Comput., 2022

Learning Incrementally to Segment Multiple Organs in a CT Image.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Noise Optimization in Artificial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Label-Free Segmentation of COVID-19 Lesions in Lung CT.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Marginal loss and exclusion loss for partially supervised multi-organ segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment.

[BibT_eX]

[DOI]

CoRR, 2021

Knowledge Matters: Radiology Report Generation with General and Specific Knowledge.

[BibT_eX]

[DOI]

CoRR, 2021

Pathological Image Segmentation with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets.

[BibT_eX]

[DOI]

Pengbo Liu

Li Xiao

S. Kevin Zhou

CoRR, 2021

Noise Optimization for Artificial Neural Networks.

[BibT_eX]

[DOI]

Li Xiao

Zeliang Zhang

Yijie Peng

CoRR, 2021

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2021

An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

You only Learn Once: Universal Anatomical Landmark Detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

One-Shot Medical Landmark Detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DEEPACC: Automate Chromosome Classification Based On Metaphase Images Using Deep Learning Framework Fused With Priori Knowledge.

[BibT_eX]

[DOI]

Li Xiao

Chunlong Luo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction.

[BibT_eX]

[DOI]

Hao Chen

Fuzhen Zhuang

Li Xiao