54 results on '"Junyu LUO"'
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2. Recent Advances in Predictive Modeling with Electronic Health Records.
3. Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
4. A Survey of Data-Efficient Graph Learning.
5. Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.
6. CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning.
7. Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.
8. Clinical Trial Retrieval via Multi-grained Similarity Learning.
9. GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.
10. Hierarchical Pretraining on Multimodal Electronic Health Records.
11. pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.
12. ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons.
13. DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.
14. SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
15. GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation.
16. Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
17. CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning.
18. Towards Graph Contrastive Learning: A Survey and Beyond.
19. A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability.
20. Recent Advances in Predictive Modeling with Electronic Health Records.
21. A Survey of Data-Efficient Graph Learning.
22. Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation.
23. 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection.
24. MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.
25. MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.
26. Zero-Resource Hallucination Prevention for Large Language Models.
27. Hierarchical Pretraining on Multimodal Electronic Health Records.
28. Quantifying stiffness and forces of tumor colonies and embryos using a magnetic microrobot.
29. MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.
30. TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding.
31. Fusion: Towards Automated ICD Coding via Feature Compression.
32. MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.
33. FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update.
34. ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework.
35. HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records.
36. Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection.
37. LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction.
38. Accelerating CNN Training by Pruning Activation Gradients.
39. SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training.
40. 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection.
41. Cross-modal Image-Text Retrieval with Multitask Learning.
42. MosaicBase: A Knowledgebase of Postzygotic Mosaic Variants in Noncancer Disease-related and Healthy Human Individuals.
43. Advances in Mining Heterogeneous Healthcare Data.
44. MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.
45. FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update.
46. TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding.
47. An efficient automatic multiple objectives optimization feature selection strategy for internet text classification.
48. Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets.
49. SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training.
50. A Benchmark Dataset for Understandable Medical Language Translation.
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