Yin, Yilong

38 publications

ICCV 2025 A Conditional Probability Framework for Compositional Zero-Shot Learning Peng Wu, Qiuxia Lai, Hao Fang, Guo-Sen Xie, Yilong Yin, Xiankai Lu, Wenguan Wang

NeurIPS 2025 From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models Hao Sun, Zhongyi Han, Hao Chen, Jindong Wang, Xin Gao, Yilong Yin

AAAI 2025 Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval Xingbo Liu, Xuening Zhang, Xiushan Nie, Yang Shi, Yilong Yin

IJCAI 2025 Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin

ICLR 2025 Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model Rundong He, Yicong Dong, Lan-Zhe Guo, Yilong Yin, Tailin Wu

AAAI 2025 Semi-Supervised Online Cross-Modal Hashing Xiao Kang, Xingbo Liu, Xuening Zhang, Wen Xue, Xiushan Nie, Yilong Yin

CVPR 2025 SeqMvRL: A Sequential Fusion Framework for Multi-View Representation Learning Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, Wenjia Meng

AAAI 2025 Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin

NeurIPS 2025 VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning Wenhao Li, Qiangchang Wang, Xianjing Meng, Zhibin Wu, Yilong Yin

MLJ 2024 Correction: Learning Sample-Aware Threshold for Semi-Supervised Learning Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

AAAI 2024 DiffAIL: Diffusion Adversarial Imitation Learning Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin

CVPR 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection Yue Yuan, Rundong He, Yicong Dong, Zhongyi Han, Yilong Yin

AAAI 2024 Exploring Channel-Aware Typical Features for Out-of-Distribution Detection Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong

ICLRW 2024 How Well Does GPT-4V(ision) Adapt to Distribution Shifts? a Preliminary Investigation Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman Khan, Lina Yao, Tongliang Liu, Kun Zhang

MLJ 2024 Learning Sample-Aware Threshold for Semi-Supervised Learning Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

AAAI 2023 Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin

AAAI 2023 Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen

CVPR 2023 Fine-Grained Classification with Noisy Labels Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin

CVPR 2023 MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin

CVPR 2023 MetaViewer: Towards a Unified Multi-View Representation Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin

AAAI 2023 Off-Policy Proximal Policy Optimization Wenjia Meng, Qian Zheng, Gang Pan, Yilong Yin

ICML 2023 Towards Understanding Generalization of Macro-AUC in Multi-Label Learning Guoqiang Wu, Chongxuan Li, Yilong Yin

NeurIPS 2023 Unified 3D Segmenter as Prototypical Classifiers Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Lu Xiankai

CVPR 2022 A Graph Matching Perspective with Transformers on Video Instance Segmentation Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen

CVPR 2022 Exploring Domain-Invariant Parameters for Source Free Domain Adaptation Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin

AAAI 2022 Not All Parameters Should Be Treated Equally: Deep Safe Semi-Supervised Learning Under Class Distribution Mismatch Rundong He, Zhongyi Han, Yang Yang, Yilong Yin

ACML 2022 SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation Zhongyi Han, Wan Su, Rundong He, Yilong Yin

CVPR 2022 Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin

ECCV 2022 Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin

CVPRW 2021 DUN: Dual-Path Temporal Matching Network for Natural Language-Based Vehicle Retrieval Ziruo Sun, Xinfang Liu, Xiaopeng Bi, Xiushan Nie, Yilong Yin

ICCVW 2021 Time Lab's Approach to the Challenge on Computer Vision for Remote Physiological Measurement Yuhang Dong, Gongping Yang, Yilong Yin

AAAI 2020 Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract) Quan Zhou, Xiushan Nie, Yang Shi, Xingbo Liu, Yilong Yin

ICML 2020 Learning to Learn Kernels with Variational Random Features Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

IJCAI 2020 Towards Accurate and Robust Domain Adaptation Under Noisy Environments Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin

AAAI 2019 Jointly Multiple Hash Learning Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin

IJCAI 2019 Supervised Short-Length Hashing Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Lei Zhu, Yilong Yin

ACML 2018 Deep Correlation Structure Preserved Label Space Embedding for Multi-Label Classification Kaixiang Wang, Ming Yang, Wanqi Yang, YiLong Yin

CVPR 2017 Learning Deep Match Kernels for Image-Set Classification Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li