Lie Ju
11 papers · 2023–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer
π
Conference Polyglot
(7)
π€
Dynamic Duo
(10)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(11)
Conferences
MICCAI (4)
AAAI (2)
ACL (1)
COLING (1)
CVPR (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
attention mechanism
(2)
semantic segmentation
(2)
text embedding
(2)
medical image segmentation
(2)
class imbalance
(2)
object detection
(1)
hierarchical classification
(1)
semi-supervised learning
(1)
multi-modal learning
(1)
multi-label classification
(1)
unsupervised domain adaptation
(1)
pseudo labeling
(1)
entropy minimization
(1)
semantic alignment
(1)
visual recognition
(1)
medical image classification
(1)
deep learning
(1)
graph representation learning
(1)
probabilistic model
(1)
domain adaptation
(1)
Papers
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
COLING 2025
GlassWizard: Harvesting Diffusion Priors for Glass Surface Detection
ICCV 2025
Towards Realistic Semi-supervised Medical Image Classification
AAAI 2025
Delving into Out-of-Distribution Detection with Medical Vision-Language Models
MICCAI 2025
Diversified and Personalized Multi-rater Medical Image Segmentation
CVPR 2024
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition
ACL 2024
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
MICCAI 2024
Universal Semi-Supervised Learning for Medical Image Classification
MICCAI 2024
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
MICCAI 2024
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
NIPS 2023
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment
AAAI 2023