Yehong Zhang
11 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (29)
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Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(66)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(6)
Application Areas
(6)
Optimization & Theory
(5)
Deep Learning
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core AI
(3)
Learning Paradigms
(3)
Learning Types Β· Machine Learning
(3)
Security & Privacy
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Privacy
(2)
Mathematics & Optimization
(1)
Keywords
bayesian optimization
(2)
gaussian process regression
(2)
incentive mechanism
(2)
stochastic optimization
(1)
variational inference
(1)
bayesian inference
(1)
continual learning
(1)
model robustness
(1)
preference learning
(1)
preference optimization
(1)
privacy preservation
(1)
data valuation
(1)
variational bayesian
(1)
gaussian process
(1)
secure multi-party computation
(1)
secure computation
(1)
kernel selection
(1)
machine learning security
(1)
reinforcement learning
(1)
differential privacy
(1)
Papers
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
ACL 2025
COPR: Continual Human Preference Learning via Optimal Policy Regularization
ACL 2025
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
AAAI 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
IJCAI 2024
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
ACL 2024
Incentives in Private Collaborative Machine Learning
NeurIPS 2023
Practical privacy-preserving Gaussian process regression via secret sharing
UAI 2023
Collaborative Bayesian Optimization with Fair Regret
ICML 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
ICML 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
AAAI 2020
Bayesian Optimization with Binary Auxiliary Information
UAI 2019