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← Authors

Erkun Yang

18 papers · 2018–2026 · 6 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+8 more ↓ πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12)
πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (44) 🐝 Cross-Pollinator (12) 🀝 Dynamic Duo (10) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (85) πŸ’Ž Century Club (15)

Conferences

IJCAI (4) NIPS (4) AAAI (3) CVPR (3) ICCV (3) ICML (1)

Top co-authors

Cheng Deng (10) Tongliang Liu (7) Bo Han (4) Yanhua Yang (4) Jiexi Yan (4) Yingbin Bai (3) Dadong Wang (2) Heng Huang (2) Dacheng Tao (2) Wuyuqing Wang (2)

Keywords

noisy label (4) noisy label learning (4) contrastive learning (3) representation learning (3) unsupervised learning (3) metric learning (2) deep neural network (2) noisy correspondence (2) memorization effect (2) domain generalization (2) image classification (2) deep hashing (2) similarity learning (2) label noise (2) cross-modal hashing (2) similarity search (1) feature extraction (1) zero-shot learning (1) in-context learning (1) bayesian learning (1)

Papers

Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation AAAI 2026 Noisy Correspondence Learning with Modality Gap Direction Correction AAAI 2026 Meta-Guided Sample Reweighting for Robust Cross-Modal Hashing Retrieval with Noisy Labels AAAI 2026 Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025 In-context Learning Demonstration Generation with Text Distillation IJCAI 2025 Robust Noisy Correspondence Learning with Equivariant Similarity Consistency CVPR 2024 Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping NIPS 2023 Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning ICCV 2023 Mutual Quantization for Cross-Modal Search With Noisy Labels CVPR 2022 RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning NIPS 2022 MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning NIPS 2022 Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network ICML 2022 Understanding and Improving Early Stopping for Learning with Noisy Labels NIPS 2021 Graph Debiased Contrastive Learning with Joint Representation Clustering IJCAI 2021 Learning With Privileged Tasks ICCV 2021 DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019 Zero-shot Metric Learning IJCAI 2019 Semantic Structure-based Unsupervised Deep Hashing IJCAI 2018