Yuheng Jia

Samples Are Not Equal: A Sample Selection Approach for Deep Clustering

Mini-cluster Guided Long-tailed Deep Clustering

FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation

CLUE: Fine-Grained Self-Supervised Learning with Multi-Level Regularization

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels

Generalization Performance of Ensemble Clustering: From Theory to Algorithm

You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Robust Label Proportions Learning

Learning from Sample Stability for Deep Clustering

Towards Calibrated Deep Clustering Network

ViT-UWA: Vision Transformer Underwater-Adapter for Dense Predictions Beneath the Water Surface

Concentration Distribution Learning from Label Distributions

A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning

ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning

Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations