Xianghua Ye
13 papers · 2023–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(5)
π€
Dynamic Duo
(13)
π₯
Mega-Team
(25)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(13)
Conferences
MICCAI (7)
ICCV (3)
CVPR (1)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
medical imaging
(3)
knowledge distillation
(2)
contrastive learning
(2)
zero-shot learning
(1)
semantic segmentation
(1)
image segmentation
(1)
object detection
(1)
multi-modal learning
(1)
neural architecture search
(1)
medical image segmentation
(1)
vision-language model
(1)
image understanding
(1)
zero-shot classification
(1)
radiology report
(1)
computed tomography
(1)
report generation
(1)
cancer detection
(1)
anatomical modeling
(1)
chest ct
(1)
chest ct imaging
(1)
Papers
Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
MICCAI 2025
Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
MICCAI 2025
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training
ICCV 2025
Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
MICCAI 2025
Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
MICCAI 2025
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
ICLR 2025
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
MICCAI 2024
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
ECCV 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
CVPR 2024
Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
MICCAI 2024
Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
MICCAI 2024
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
ICCV 2023
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
ICCV 2023