Wei-Shinn Ku
5 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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Trend Setter
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Research topics
Machine Learning
(5)
Deep Learning
(4)
Optimization & Theory
(4)
Architectures
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Core AI
(1)
Core Methods
(1)
Mathematics
(1)
Keywords
federated learning
(1)
lottery ticket hypothesis
(1)
contrastive learning
(1)
transfer learning
(1)
pose estimation
(1)
object recognition
(1)
network pruning
(1)
constrained optimization
(1)
hessian approximation
(1)
graph sparsification
(1)
knowledge graph
(1)
trust region
(1)
3d rendering
(1)
model sparsity
(1)
hyperbolic embedding
(1)
contrastive loss
(1)
entity alignment
(1)
budget constraint
(1)
two-stage optimization
(1)
entity matching
(1)
Papers
Effective Federated Graph Matching
ICML 2024
Constrained Market Share Maximization by Signal-Guided Optimization
AAAI 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
ICLR 2023
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space
EMNLP 2022
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
CVPR 2019