Yilong Yin

34 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)

🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (8) 🏆 Grand Slam 🤝 Dynamic Duo (10) 🗃️ Keyword Collector (170) 🚀 Conference Pioneer 💎 Century Club (31) 🔥 Unstoppable (5) ⚡ Prolific Year (8)

Conferences

AAAI (14) CVPR (9) IJCAI (3) ACML (2) ICML (2) ECCV (1) ICCV (1) ICLR (1) NIPS (1)

Top co-authors

Zhongyi Han (10) Haoliang Sun (9) Xiushan Nie (9) Rundong He (8) Xingbo Liu (6) Fan Wang (5) Xiankai Lu (5) REN WANG (4) Yongshun Gong (4) Xiaoming Xi (3)

Keywords

semi-supervised learning (4) similarity preservation (3) source-free domain adaptation (3) reinforcement learning (3) class imbalance (3) few-shot learning (2) contrastive learning (2) label noise (2) metric learning (2) image classification (2) adversarial learning (2) multi-label classification (2) image retrieval (2) domain adaptation (2) representation learning (2) multi-label learning (2) multimodal learning (2) knowledge transfer (2) transfer learning (2) pseudo labeling (2)

Papers

PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution AAAI 2026 MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping AAAI 2026 Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation AAAI 2026 Improving Generalization in Meta-Learning via Meta-Gradient Augmentation IJCAI 2025 A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025 SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning CVPR 2025 Semi-Supervised Online Cross-Modal Hashing AAAI 2025 Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning AAAI 2025 Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model ICLR 2025 Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval AAAI 2025 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024 DiffAIL: Diffusion Adversarial Imitation Learning AAAI 2024 Unified 3D Segmenter As Prototypical Classifiers NIPS 2023 Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels AAAI 2023 Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023 Off-Policy Proximal Policy Optimization AAAI 2023 MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation CVPR 2023 MetaViewer: Towards a Unified Multi-View Representation CVPR 2023 Fine-Grained Classification With Noisy Labels CVPR 2023 Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023 Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch AAAI 2022 A Graph Matching Perspective With Transformers on Video Instance Segmentation CVPR 2022 Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization ECCV 2022 Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data CVPR 2022 SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation ACML 2022 Exploring Domain-Invariant Parameters for Source Free Domain Adaptation CVPR 2022 Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract) AAAI 2020 Learning to Learn Kernels with Variational Random Features ICML 2020 Towards Accurate and Robust Domain Adaptation under Noisy Environments IJCAI 2020 Supervised Short-Length Hashing IJCAI 2019 Jointly Multiple Hash Learning AAAI 2019 Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification ACML 2018 Learning Deep Match Kernels for Image-Set Classification CVPR 2017