Shilei Cao

Orcid: 0000-0002-4728-8051

Affiliations:

Tencent Inc., YouTu Lab, Shenzhen, China
Xi'an Jiaotong University, Xi'an, China (former)

According to our database¹, Shilei Cao authored at least 21 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Pairwise learning for medical image segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.

[BibT_eX]

[DOI]

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

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.

[BibT_eX]

[DOI]

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

Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Superpixel-Guided Label Softening for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Knowledge Guided Short-Text Classification for Healthcare Applications.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Low-Rank Sparse Feature Selection for Patient Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Shilei Cao

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