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Yiyou Sun

24 papers · 2018–2026 · 11 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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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (51) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (5) πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (103)

Venues

NeurIPS (7) ICML (4) ICLR (3) CVPR (2) ECCV (2) AAAI (1) ACL (1) ICCV (1) MICCAI (1) MIDL (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) Winnie Chiu Wing Chu (2) Qi Dou (2) Katsushi Matsuda (2)

Research topics

Machine Learning (18) Learning Types Β· Machine Learning (11) Artificial Intelligence (10) Deep Learning (10) Core AI (9) Core Methods (9) Learning Types Β· Deep Learning (6) Optimization & Theory (6) Application Areas (5) Computer Vision (3) Analysis (3) Natural Language Processing (2) Architectures (2) Models (2) Computer Science (1)

Keywords

out-of-distribution detection (9) contrastive learning (3) large language model (3) feature representation (2) anomaly detection (2) image generation (2) error bound (2) diffusion model (2) metric learning (2) black-box detection (2) nearest neighbor (2) surrogate model (2) semi-supervised learning (2) spectral decomposition (2) novel class discovery (2) subspace learning (1) text classification (1) domain adaptation (1) adversarial learning (1) zero-shot 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 SFS: Smarter Code Space Search improves LLM Inference Scaling 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 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton ICML 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 Revisiting Score Propagation in Graph Out-of-Distribution Detection NeurIPS 2024 Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration MICCAI 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning NeurIPS 2023 Dream the Impossible: Outlier Imagination with Diffusion Models NeurIPS 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 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 NeurIPS 2022 DICE: Leveraging Sparsification for Out-of-Distribution Detection ECCV 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 Out-of-Distribution Detection with Deep Nearest Neighbors ICML 2022 ReAct: Out-of-distribution Detection With Rectified Activations NeurIPS 2021 Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks ICCV 2019 Interpretable Basis Decomposition for Visual Explanation ECCV 2018