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Yunfan Li

17 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (5)
🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (31) πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam πŸ‘‘ Triple Crown ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (75) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (16)

Conferences

ICML (3) AAAI (2) CVPR (2) IJCAI (2) JMLR (2) NIPS (2) AISTATS (1) ICCV (1) ICLR (1) NSDI (1)

Top co-authors

Xi Peng (9) Peng Hu (8) Mouxing Yang (4) Dezhong Peng (4) Lin Yang (3) Jiancheng Lv (3) Xingyu Zhu (2) Yiran Wang (2) Hanwang Zhang (2) Junfeng Fang (2)

Keywords

representation learning (3) contrastive learning (3) data augmentation (2) online clustering (2) cluster assignment (2) function approximation (2) regret bound (2) sample efficiency (1) reinforcement learning (1) active learning (1) cluster analysis (1) model misspecification (1) policy gradient (1) multimodal learning (1) feature extraction (1) attention mechanism (1) policy optimization (1) optimal transport (1) prototype learning (1) probabilistic modeling (1)

Papers

Hierarchical Semantic Alignment for Image Clustering AAAI 2026 Probabilistic Multimodal Learning with von Mises-Fisher Distributions IJCAI 2025 Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning ICML 2025 Dynamic Multimodal Prototype Learning in Vision-Language Models ICCV 2025 Interactive Deep Clustering via Value Mining NIPS 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning NIPS 2024 On the Model-Misspecification in Reinforcement Learning AISTATS 2024 Test-time Adaptation against Multi-modal Reliability Bias ICLR 2024 Image Clustering with External Guidance ICML 2024 Hydra: Serialization-Free Network Ordering for Strongly Consistent Distributed Applications NSDI 2023 Incomplete Multi-view Clustering via Prototype-based Imputation IJCAI 2023 Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric CVPR 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023 XAI Beyond Classification: Interpretable Neural Clustering JMLR 2022 Contrastive Clustering AAAI 2021 Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss CVPR 2021 Prediction Risk for the Horseshoe Regression JMLR 2019