Yuan Hong
11 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (23) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Century Club
(11)
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Conference Pioneer
Conferences
MICCAI (3)
AAAI (2)
EMNLP (2)
CVPR (1)
ECCV (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
representation learning
(2)
differential privacy
(2)
instance encoding
(2)
attribute inference
(2)
reconstruction attack
(2)
natural language processing
(1)
text classification
(1)
knowledge distillation
(1)
privacy preservation
(1)
model interpretability
(1)
mutual information
(1)
privacy preserving
(1)
saliency mapping
(1)
text embedding
(1)
private learning
(1)
privacy guarantee
(1)
federated graph learning
(1)
explanation faithfulness
(1)
model ownership verification
(1)
faithfulness evaluation
(1)
Papers
Learning Robust and Privacy-Preserving Representations via Information Theory
AAAI 2025
MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
MICCAI 2025
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings
EMNLP 2025
MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis
MICCAI 2025
VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models
MICCAI 2024
On the Faithfulness of Vision Transformer Explanations
CVPR 2024
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
AAAI 2024
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
NIPS 2024
Differentially Private Instance Encoding against Privacy Attacks
NAACL 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
ECCV 2022
Reconstruction Attack on Instance Encoding for Language Understanding
EMNLP 2021