Zekai Wang
8 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(7)
Application Areas
(3)
Deep Learning
(2)
Core Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Techniques
(1)
Keywords
adversarial training
(4)
robustness verification
(2)
multi-task learning
(2)
text classification
(2)
adversarial robustness
(1)
heterogeneous information network
(1)
distributional robustness
(1)
diffusion model
(1)
randomized smoothing
(1)
bandit algorithm
(1)
downstream task
(1)
robust accuracy
(1)
robustness evaluation
(1)
generated data
(1)
personalized recommendation
(1)
denoising diffusion probabilistic model
(1)
extreme value theory
(1)
end-to-end model
(1)
generalization loss
(1)
neural network
(1)
Papers
DRF: Improving Certified Robustness via Distributional Robustness Framework
AAAI 2024
Better Diffusion Models Further Improve Adversarial Training
ICML 2023
RVCL: Evaluating the Robustness of Contrastive Learning via Verification
JMLR 2023
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning
ACL 2022
On the Tradeoff Between Robustness and Fairness
NeurIPS 2022
Robustness Verification for Contrastive Learning
ICML 2022
BanditMTL: Bandit-based Multi-task Learning for Text Classification
ACL 2021
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation
IJCAI 2019