← Authors

Yiyou Sun

23 papers · 2018–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (44) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (12) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (23) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ 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) NAACL (1)

Top co-authors

Yixuan Li (12) Wei Cheng (7) Haifeng Chen (7) Xuefeng Du (3) Xujiang Zhao (3) Yifei Ming (3) Yanchi Liu (3) Takao Osaki (2) Katsushi Matsuda (2) Xiaojin Zhu (2)

Keywords

out-of-distribution detection (7) nearest neighbor (2) diffusion model (2) large language model (2) feature representation (2) image generation (2) novel class discovery (2) black-box detection (2) surrogate model (2) anomaly detection (2) semi-supervised learning (2) graph theory (1) subspace learning (1) semi-supervised clustering (1) text classification (1) benchmark evaluation (1) face recognition (1) domain adaptation (1) adversarial learning (1) ai-generated content (1)

Papers

Uncertainty Propagation on LLM Agent ACL 2025
Chain-of-region: Visual Language Models Need Details for Diagram Analysis ICLR 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025
When and How Does In-Distribution Label Help Out-of-Distribution Detection? 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
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
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton ICML 2024
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR 2023
Dream the Impossible: Outlier Imagination with Diffusion Models NIPS 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
Delving into Out-of-Distribution Detection with Vision-Language Representations NIPS 2022
DICE: Leveraging Sparsification for Out-of-Distribution Detection ECCV 2022
Out-of-Distribution Detection with Deep Nearest Neighbors ICML 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NIPS 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