Yirui Wang

Orcid: 0000-0002-9804-8736

Affiliations:
  • Alibaba Group, DAMO Academy, New York, NA, USA
  • PAII Inc., Bethesda, USA (2018 - 2022)
  • Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA (until 2018)


According to our database1, Yirui Wang authored at least 22 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT.
CoRR, March, 2025

From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans.
CoRR, March, 2025

2024
Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT.
CoRR, 2024

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer.
Proceedings of the Computer Vision - ECCV 2024, 2024

2022
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation.
CoRR, 2022

Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures.
IEEE Trans. Medical Imaging, 2021

Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis.
CoRR, 2021

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays.
Proceedings of the Information Processing in Medical Imaging, 2021

Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Objective extraction via fuzzy clustering in evolutionary many-objective optimization.
Inf. Sci., 2020

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays.
CoRR, 2020

A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
CoRR, 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images.
CoRR, 2020

Learning to Segment Anatomical Structures Accurately from One Exemplar.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Weakly Supervised Universal Fracture Detection in Pelvic X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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