Renhong Huang
6 papers · 2022–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
π
Cross-Pollinator
(5)
β
The Questioner
Conferences
NIPS (3)
AAAI (2)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(5)
transfer learning
(1)
knowledge distillation
(1)
adaptive sampling
(1)
data selection
(1)
node classification
(1)
downstream task
(1)
temporal graph
(1)
molecule generation
(1)
graph property inference
(1)
model approximation
(1)
shadow model
(1)
training data privacy
(1)
risk assessment
(1)
edit distance
(1)
privacy leakage
(1)
privacy risk
(1)
model acceleration
(1)
molecular property prediction
(1)
predictive uncertainty
(1)
Papers
Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs
AAAI 2026
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NIPS 2024
Extracting Training Data from Molecular Pre-trained Models
NIPS 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
NIPS 2023
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
IJCAI 2022