Changchun Li
13 papers · 2016–2026 · 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
Jump to papers ↓+5 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Half π£ Hot Topic Early Bird
π€
Dynamic Duo
(13)
π
Grand Slam
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(61)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Learning Types Β· Machine Learning
(9)
Core Methods
(7)
Deep Learning
(3)
Natural Language Processing
(3)
Application Areas
(2)
Applications
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Models
(1)
Optimization
(1)
Resources & Methods
(1)
Keywords
multi-label classification
(2)
data augmentation
(2)
misinformation detection
(2)
semi-supervised learning
(2)
positive and unlabeled learning
(2)
semi-supervised regression
(1)
multimodal learning
(1)
text classification
(1)
topic modeling
(1)
mutual information
(1)
bayesian inference
(1)
weakly supervised learning
(1)
pseudo labeling
(1)
text-to-image generation
(1)
partial label learning
(1)
semantic consistency
(1)
gaussian process
(1)
importance sampling
(1)
feature distribution
(1)
binary classification
(1)
Papers
Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
AAAI 2026
Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples
AAAI 2026
Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
ICML 2025
Robust Misinformation Detection by Visiting Potential Commonsense Conflict
IJCAI 2025
Positive and Unlabeled Learning with Controlled Probability Boundary Fence
ICML 2024
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
NeurIPS 2024
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
IJCAI 2024
Learning with Partial Labels from Semi-supervised Perspective
AAAI 2023
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization
IJCAI 2022
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
ICLR 2022
Semi-Supervised Text Classification with Balanced Deep Representation Distributions
ACL 2021
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
IJCAI 2018
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
COLING 2016