Chuang Hu
8 papers · 2025–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
⭐
Rising Star
(8)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(6)
Application Areas · Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Learning Paradigms · Artificial Intelligence
(4)
Learning Paradigms · Machine Learning
(3)
Security & Privacy
(2)
Architectures
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Privacy
(2)
Computer Science
(1)
Application Areas · Deep Learning
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
machine unlearning
(3)
vertical federated learning
(3)
privacy preservation
(2)
zero-shot learning
(2)
contrastive learning
(1)
backdoor attack
(1)
neural network compression
(1)
right to be forgotten
(1)
representation learning
(1)
knowledge distillation
(1)
locality sensitive hashing
(1)
coreset construction
(1)
personalized model
(1)
deep neural network
(1)
surrogate model
(1)
few-shot learning
(1)
node classification
(1)
data efficiency
(1)
model quantization
(1)
differential privacy
(1)
Papers
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
AAAI 2026
Unleash All Cores: Asymmetry-Aware Scalable DNN Inference on Mobile CPUs
OSDI 2026
Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning
AAAI 2026
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
IJCAI 2025
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
AAAI 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning
IJCAI 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels
ICCV 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric
IJCAI 2025