Yunfan Li
17 papers · 2019–2026 · 10 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 (33) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(89)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(8)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(6)
Optimization & Theory
(5)
Reinforcement Learning
(4)
Methods
(4)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Keywords
function approximation
(3)
representation learning
(3)
contrastive learning
(3)
online clustering
(2)
image clustering
(2)
multimodal learning
(2)
cluster assignment
(2)
regret bound
(2)
data augmentation
(2)
test-time adaptation
(2)
sample efficiency
(1)
cluster analysis
(1)
model misspecification
(1)
policy gradient
(1)
reinforcement learning
(1)
active learning
(1)
feature extraction
(1)
domain adaptation
(1)
attention mechanism
(1)
optimal transport
(1)
Papers
Hierarchical Semantic Alignment for Image Clustering
AAAI 2026
Dynamic Multimodal Prototype Learning in Vision-Language Models
ICCV 2025
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning
ICML 2025
Probabilistic Multimodal Learning with von Mises-Fisher Distributions
IJCAI 2025
Image Clustering with External Guidance
ICML 2024
Interactive Deep Clustering via Value Mining
NeurIPS 2024
On the Model-Misspecification in Reinforcement Learning
AISTATS 2024
Test-time Adaptation against Multi-modal Reliability Bias
ICLR 2024
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning
NeurIPS 2024
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
CVPR 2023
Hydra: Serialization-Free Network Ordering for Strongly Consistent Distributed Applications
NSDI 2023
Incomplete Multi-view Clustering via Prototype-based Imputation
IJCAI 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