SUPT assigns prompt features at the subgraph level to enable universal prompt tuning for any GNN pre-training strategy and outperforms fine-tuning in 42 of 45 full-shot and 41 of 45 few-shot graph experiments with average gains of 2.5% and 6.6%.
JunnanLi, DongxuLi, CaimingXiong, andStevenHoi
3 Pith papers cite this work. Polarity classification is still indexing.
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ProtoCLIP improves zero-shot chest X-ray classification in CLIP models by 2-10 AUC points via curated data and prototype-aligned distillation, reaching 0.94 AUC for pneumothorax on VinDr-CXR.
XR-CareerAssist fuses XR and five AI modules into a Unity-based immersive platform for multilingual, personalized career guidance via 3D avatars and dynamic Sankey diagrams, reporting 78.3% user satisfaction in a 23-person pilot.
citing papers explorer
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Subgraph-level Universal Prompt Tuning
SUPT assigns prompt features at the subgraph level to enable universal prompt tuning for any GNN pre-training strategy and outperforms fine-tuning in 42 of 45 full-shot and 41 of 45 few-shot graph experiments with average gains of 2.5% and 6.6%.
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ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification
ProtoCLIP improves zero-shot chest X-ray classification in CLIP models by 2-10 AUC points via curated data and prototype-aligned distillation, reaching 0.94 AUC for pneumothorax on VinDr-CXR.
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XR-CareerAssist: An Immersive Platform for Personalised Career Guidance Leveraging Extended Reality and Multimodal AI
XR-CareerAssist fuses XR and five AI modules into a Unity-based immersive platform for multilingual, personalized career guidance via 3D avatars and dynamic Sankey diagrams, reporting 78.3% user satisfaction in a 23-person pilot.