Xuefeng Du
18 papers · 2020–2026 · 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 (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(13)
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Grand Slam
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The Questioner
(3)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Research topics
Machine Learning
(18)
Application Areas
(11)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(7)
Deep Learning
(6)
Core AI
(6)
Computer Vision
(4)
Analysis
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Models
(2)
Natural Language Processing
(1)
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Architectures
(1)
Keywords
out-of-distribution detection
(9)
anomaly detection
(3)
object detection
(3)
latent space
(2)
semi-supervised learning
(2)
decision boundary
(2)
distribution shift
(2)
hallucination detection
(2)
semantic shift
(2)
few-shot learning
(1)
uncertainty quantification
(1)
text classification
(1)
adversarial robustness
(1)
optimal transport
(1)
image classification
(1)
neural architecture search
(1)
domain generalization
(1)
feature embedding
(1)
margin-based learning
(1)
network architecture
(1)
Papers
Teach AI What It Doesnβt Know
AAAI 2026
Position: Challenges and Future Directions of Data-Centric AI Alignment
ICML 2025
Steer LLM Latents for Hallucination Detection
ICML 2025
Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
ICML 2025
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
NeurIPS 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
ICLR 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
ICML 2024
Dream the Impossible: Outlier Imagination with Diffusion Models
NeurIPS 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
ICML 2023
Non-parametric Outlier Synthesis
ICLR 2023
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
NeurIPS 2022
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search
CVPR 2022
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
NeurIPS 2022
Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild
CVPR 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
ICLR 2022
How to Save your Annotation Cost for Panoptic Segmentation?
AAAI 2021
Learning Diverse-Structured Networks for Adversarial Robustness
ICML 2021
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
NeurIPS 2020