Jingliang Hu
9 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
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Conference Pioneer
Venues
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Research topics
Keywords
semi-supervised learning
(2)
medical imaging
(2)
semantic segmentation
(1)
anomaly detection
(1)
change detection
(1)
knowledge distillation
(1)
multispectral imaging
(1)
spatio-temporal learning
(1)
satellite imagery
(1)
student-teacher learning
(1)
reverse distillation
(1)
semantic change segmentation
(1)
multi-spectral satellite
(1)
land use land cover
(1)
land use classification
(1)
land use
(1)
time series analysis
(1)
ultrasound image segmentation
(1)
contrastive learning
(1)
Papers
ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
AAAI 2026
High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
MICCAI 2025
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
ICLR 2025
CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention
MICCAI 2024
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
MICCAI 2024
Rethinking Cell Counting Methods: Decoupling Counting and Localization
MICCAI 2024
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
MICCAI 2024
Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
MICCAI 2024
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
CVPR 2022