Yiyou Sun
24 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (10) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (10)
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Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(10)
🏆
Grand Slam
👑
Triple Crown
🤝
Dynamic Duo
(12)
🔥
Unstoppable
(5)
💎
Century Club
(23)
🚀
Conference Pioneer
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(78)
❓
The Questioner
(5)
Conferences
NIPS (7)
ICML (4)
ICLR (3)
CVPR (2)
ECCV (2)
AAAI (1)
ACL (1)
ICCV (1)
MICCAI (1)
MIDL (1)
NAACL (1)
Top co-authors
Keywords
out-of-distribution detection
(7)
image generation
(2)
nearest neighbor
(2)
novel class discovery
(2)
feature representation
(2)
contrastive learning
(2)
black-box detection
(2)
diffusion model
(2)
large language model
(2)
anomaly detection
(2)
semi-supervised learning
(2)
surrogate model
(2)
semi-supervised clustering
(1)
graph theory
(1)
subspace learning
(1)
text classification
(1)
benchmark evaluation
(1)
face recognition
(1)
domain adaptation
(1)
adversarial learning
(1)
Papers
A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation
MIDL 2026
Chain-of-region: Visual Language Models Need Details for Diagram Analysis
ICLR 2025
Uncertainty Propagation on LLM Agent
ACL 2025
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
CVPR 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
Uncertainty Quantification for In-Context Learning of Large Language Models
NAACL 2024
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
MICCAI 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
ICML 2024
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
ICML 2024
Revisiting Score Propagation in Graph Out-of-Distribution Detection
NIPS 2024
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NIPS 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
AAAI 2024
Dream the Impossible: Outlier Imagination with Diffusion Models
NIPS 2023
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
ICLR 2023
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment
CVPR 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
NIPS 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
ICML 2023
DICE: Leveraging Sparsification for Out-of-Distribution Detection
ECCV 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
NIPS 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations
NIPS 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
ICML 2022
ReAct: Out-of-distribution Detection With Rectified Activations
NIPS 2021
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks
ICCV 2019
Interpretable Basis Decomposition for Visual Explanation
ECCV 2018