Weiwei Li
17 papers · 2019–2026 · 7 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 (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(13)
π¬
Deep Specialist
(10)
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(13)
Artificial Intelligence
(8)
Deep Learning
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Models
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Analysis
(1)
Keywords
label distribution learning
(10)
multi-label learning
(4)
label enhancement
(4)
low-rank approximation
(2)
label distribution
(2)
multi-label classification
(2)
label correlation
(2)
variational inference
(2)
generative model
(2)
gaussian mixture
(2)
spectral clustering
(1)
emotion recognition
(1)
visual reasoning
(1)
visual grounding
(1)
nonparametric bayesian
(1)
reinforcement learning
(1)
feature selection
(1)
out-of-sample extension
(1)
dirichlet process
(1)
empirical risk minimization
(1)
Papers
Learning Label Distribution with Dirichlet Process Mixture Model
AAAI 2026
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
ACL 2026
Adaptive-Grained Label Distribution Learning
AAAI 2025
Approximately Correct Label Distribution Learning
ICML 2025
Divide and Conquer: Learning Label Distribution with Subtasks
ICML 2025
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
CVPR 2025
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
ICML 2025
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension
EMNLP 2024
Generative Calibration of Inaccurate Annotation for Label Distribution Learning
AAAI 2024
Generative Label Enhancement with Gaussian Mixture and Partial Ranking
AAAI 2023
Label Enhancement via Joint Implicit Representation Clustering
IJCAI 2023
Subspace Clustering through Sub-Clusters
JMLR 2021
Privileged label enhancement with multi-label learning
IJCAI 2020
Tensor-based multi-view label enhancement for multi-label learning
IJCAI 2020
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally
CVPR 2019
Label Distribution Learning with Label Correlations via Low-Rank Approximation
IJCAI 2019
Label distribution learning with label-specific features
IJCAI 2019