Lue Tao
11 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
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The Questioner
(2)
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Century Club Β· Bronze
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Keyword Collector
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Venues
Top co-authors
Research topics
Machine Learning
(11)
Learning Types Β· Machine Learning
(8)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Reasoning
(1)
Keywords
adversarial attack
(3)
adversarial training
(3)
adversarial example
(2)
adversarial robustness
(2)
model robustness
(1)
model security
(1)
representation learning
(1)
sampling strategy
(1)
semi-supervised learning
(1)
logical reasoning
(1)
symbolic reasoning
(1)
sequential decision making
(1)
noisy label learning
(1)
model evaluation
(1)
knowledge base
(1)
data poisoning
(1)
class imbalance
(1)
variance reduction
(1)
sequential decision
(1)
robust optimization
(1)
Papers
Avoiding Undesired Future with Sequential Decisions
IJCAI 2025
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition
ICML 2025
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
AAAI 2024
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
ICLR 2024
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
ICML 2022
With False Friends Like These, Who Can Notice Mistakes?
AAAI 2022
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
NeurIPS 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
AAAI 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
NeurIPS 2021
Accelerated Stochastic Gradient-free and Projection-free Methods
ICML 2020