Yu Yao
25 papers · 2020–2026 · 10 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 (52) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Grand Slam
π§¬
Topic Evolution
ποΈ
Keyword Collector
(116)
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(8)
π
Trend Setter
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(12)
Core AI
(11)
Learning Types Β· Machine Learning
(10)
Core Methods
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Computer Vision
(2)
Interdisciplinary
(2)
Knowledge & Reasoning
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Keywords
label noise
(7)
causal inference
(4)
data augmentation
(2)
test statistic
(2)
conditional independence
(2)
contrastive learning
(2)
asymptotic distribution
(2)
semi-supervised learning
(2)
discretization
(2)
domain generalization
(2)
keyphrase generation
(2)
noisy label learning
(2)
visual saliency
(1)
variational inference
(1)
binary classification
(1)
ordinal regression
(1)
image classification
(1)
medical imaging
(1)
temporal modeling
(1)
sequence modeling
(1)
Papers
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
JMLR 2026
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
AAAI 2026
A Conditional Independence Test in the Presence of Discretization
ICLR 2025
A Lens into Interpretable Transformer Mistakes via Semantic Dependency
ICML 2025
A Robust Method to Discover Causal or Anticausal Relation
ICLR 2025
A Sample Efficient Conditional Independence Test in the Presence of Discretization
ICML 2025
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
ICLR 2025
FeelNet: A Lightweight Fast Fourier Transform EEG-based Emotion Recognition Network
ACML 2025
Flow: Modularized Agentic Workflow Automation
ICLR 2025
Ranked from Within: Ranking Large Multimodal Models Without Labels
ICML 2025
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
ICML 2025
Seeking Rational Demonstrations for Large Language Models: A Domain Generalization Approach to Unsupervised Cross-Domain Keyphrase Generation
ACL 2025
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees
CVPR 2025
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
ICLR 2024
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
NeurIPS 2024
Improving Non-Transferable Representation Learning by Harnessing Content and Style
ICLR 2024
Learning the Latent Causal Structure for Modeling Label Noise
NeurIPS 2024
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
AAAI 2024
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation
NeurIPS 2023
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
ICML 2023
Keyphrase Generation via Soft and Hard Semantic Corrections
EMNLP 2022
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning
ICLR 2022
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
IJCAI 2021
Instance-dependent Label-noise Learning under a Structural Causal Model
NeurIPS 2021
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
NeurIPS 2020