Yuheng Jia
23 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (25) π Conference Polyglot (8)
π
Cross-Pollinator
(14)
π
Grand Slam
ποΈ
Keyword Collector
(66)
π
Century Club
(19)
β‘
Prolific Year
(14)
Conferences
AAAI (6)
ICLR (4)
ICML (4)
IJCAI (4)
ACL (2)
EMNLP (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
label distribution learning
(4)
partial label learning
(3)
multi-label classification
(2)
vision-language model
(2)
hallucination mitigation
(2)
multi-label learning
(2)
large vision-language model
(2)
candidate label
(2)
label disambiguation
(2)
knowledge distillation
(1)
convex optimization
(1)
vision-language alignment
(1)
semi-supervised learning
(1)
attention mechanism
(1)
noisy label learning
(1)
ensemble learning
(1)
label noise
(1)
model calibration
(1)
low-rank recovery
(1)
class imbalance
(1)
Papers
CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters
ACL 2026
ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
AAAI 2026
Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
AAAI 2026
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
AAAI 2026
Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
ICCV 2025
Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement
ICLR 2025
Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
ICLR 2025
Towards Calibrated Deep Clustering Network
ICLR 2025
ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
ICLR 2025
Learning from Sample Stability for Deep Clustering
ICML 2025
Concentration Distribution Learning from Label Distributions
ICML 2025
Generalization Performance of Ensemble Clustering: From Theory to Algorithm
ICML 2025
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
ICML 2025
Calibrated Disambiguation for Partial Multi-label Learning
AAAI 2025
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
ACL 2025
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
EMNLP 2025
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
IJCAI 2025
Partial Label Clustering
IJCAI 2025
Label Distribution Learning from Logical Label
IJCAI 2024
Exploiting Multi-Label Correlation in Label Distribution Learning
IJCAI 2024
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
AAAI 2024
Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage
NIPS 2023
Clustering Ensemble Meets Low-rank Tensor Approximation
AAAI 2021