Lue Tao
11 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Academic Marathon (5) π§ Keyword Pioneer π Conference Polyglot (5) π Renaissance Researcher (6)
πΊοΈ
Taxonomy Completionist
(23)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Grand Slam
π
Century Club
(11)
ποΈ
Keyword Collector
(58)
β
The Questioner
(2)
Conferences
AAAI (3)
ICML (3)
NIPS (3)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
adversarial example
(2)
adversarial attack
(2)
adversarial training
(2)
representation learning
(1)
adversarial robustness
(1)
model security
(1)
semi-supervised learning
(1)
symbolic reasoning
(1)
sampling strategy
(1)
logical reasoning
(1)
model robustness
(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
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition
ICML 2025
Avoiding Undesired Future with Sequential Decisions
IJCAI 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
With False Friends Like These, Who Can Notice Mistakes?
AAAI 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
ICML 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
NIPS 2022
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
AAAI 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
NIPS 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
NIPS 2021
Accelerated Stochastic Gradient-free and Projection-free Methods
ICML 2020