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Yuheng Jia

25 papers · 2021–2026 · 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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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (35) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸ† Grand Slam
πŸ”¬ Deep Specialist (10) πŸ—ƒοΈ Keyword Collector (113) ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze

Venues

AAAI (6) ICLR (4) ICML (4) IJCAI (4) ACL (2) CVPR (1) EMNLP (1) ICCV (1) JMLR (1) NeurIPS (1)

Top co-authors

Hui LIU (8) Junhui Hou (8) Jiawei Tang (4) Zhiqiang Kou (3) Fuchao Yang (3) Xin Geng (3) Junfeng Fang (2) Zhixin Li (2) Jing Wang (2) Yuhang Li (2)

Research topics

Machine Learning (23) Core Methods (18) Learning Types Β· Machine Learning (15) Deep Learning (7) Artificial Intelligence (6) Optimization & Theory (6) Core AI (5) Learning Types Β· Deep Learning (4) Application Areas (3) Architectures (3) Data Science & Analytics (2) Mathematics & Optimization (2) Applications (2) Learning Paradigms (2) Optimization (2)

Keywords

label distribution learning (4) partial label learning (4) deep clustering (3) candidate label (3) vision-language model (2) long-tailed distribution (2) hallucination mitigation (2) spectral clustering (2) generalization error bound (2) generalization error (2) label disambiguation (2) multi-label classification (2) knowledge distillation (2) large vision-language model (2) multi-label learning (2) label noise (2) convergence rate (2) representation learning (2) class imbalance (2) vision-language alignment (1)

Papers

CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters ACL 2026 DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning AAAI 2026 ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering AAAI 2026 FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning CVPR 2026 Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspective JMLR 2026 Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance AAAI 2026 A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning ICML 2025 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels ICCV 2025 Calibrated Disambiguation for Partial Multi-label Learning AAAI 2025 Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement ICLR 2025 Concentration Distribution Learning from Label Distributions ICML 2025 ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering ICLR 2025 Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence ACL 2025 Generalization Performance of Ensemble Clustering: From Theory to Algorithm ICML 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning IJCAI 2025 Learning from Sample Stability for Deep Clustering ICML 2025 Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning ICLR 2025 Partial Label Clustering IJCAI 2025 Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation EMNLP 2025 Towards Calibrated Deep Clustering Network ICLR 2025 Exploiting Multi-Label Correlation in Label Distribution Learning IJCAI 2024 Label Distribution Learning from Logical Label 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 NeurIPS 2023 Clustering Ensemble Meets Low-rank Tensor Approximation AAAI 2021