Yilong Yin

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 308

Top Venues

Publications

Jin Huang, Yongshun Gong, Yang Shi, Xinxin Zhang, Jian Zhang, Yilong Yin
Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE Trans. Multim. 26 (2024)
Xuemei Zhang, Peng Zhao, Jinsheng Ji, Xiankai Lu, Yilong Yin
Video Corpus Moment Retrieval via Deformable Multigranularity Feature Fusion and Adversarial Training. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Peng Zhao, Qiangchang Wang, Yilong Yin
DSPformer: discovering semantic parts with token growth and clustering for zero-shot learning. Int. J. Multim. Inf. Retr. 13 (3) (2024)
Qi WeiLei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
Correction: Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113 (7) (2024)
Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. AAAI (2024)
Fan Wang, Zhongyi Han, Yilong Yin
BIAS: Bridging Inactive and Active Samples for active source free domain adaptation. Knowl. Based Syst. 284 (2024)
Inam Ullah, Sumaira Hussain, Kashif Shaheed, Wajid Ali, Shahid Ali Khan, Yilong Yin, Yuling Ma
CMGNet: Context-aware middle-layer guidance network for salient object detection. J. King Saud Univ. Comput. Inf. Sci. 36 (1) (2024)
Jie Guo, Rui Gong, Yuling Ma, Meng Liu, Xiaoming Xi, Xiushan Nie, Yilong Yin
A survey of micro-video analysis. Multim. Tools Appl. 83 (11) (2024)
Xingbo Liu, Jiamin Li, Xiushan Nie, Xuening Zhang, Shaohua Wang, Yilong Yin
Scalable Unsupervised Hashing via Exploiting Robust Cross-Modal Consistency. IEEE Trans. Big Data 10 (4) (2024)
Tong Zhang, Xiankai Lu, Hao Zhang, Xiushan Nie, Yilong Yin, Jianbing Shen
Relational Network via Cascade CRF for Video Language Grounding. IEEE Trans. Multim. 26 (2024)
Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR (2024)
Jin Huang, Yongshun Gong, Lu Zhang, Jian Zhang, Liqiang Nie, Yilong Yin
Modeling Multiple Aesthetic Views for Series Photo Selection. IEEE Trans. Multim. 26 (2024)
Ruifeng Wang, Guang Zhang, Xiaoming Xi, Longsheng Xu, Xiushan Nie, Jianhua Nie, Xianjing Meng, Yanwei Zhang, Xinjian Chen, Yilong Yin
Discriminative atoms embedding relation dual network for classification of choroidal neovascularization in OCT images. Pattern Recognit. 156 (2024)
Xiyu Pang, Yilong Yin, Xin Tian
Global relational attention with a maximum suppression constraint for vehicle re-identification. Int. J. Mach. Learn. Cybern. 15 (5) (2024)
Peng Zhao, Xian Song, Xiaoming Xi, Xiushan Nie, Xianjing Meng, Yi Qu, Yilong Yin
Biomarkers-Aware Asymmetric Bibranch GAN With Adaptive Memory Batch Normalization for Prediction of Anti-VEGF Treatment Response in Neovascular Age-Related Macular Degeneration. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Xiyu Pang, Yanli Zheng, Xiushan Nie, Yilong Yin, Xi Li
Multi-axis interactive multidimensional attention network for vehicle re-identification. Image Vis. Comput. 144 (2024)
Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin
CLIP-driven Outliers Synthesis for few-shot OOD detection. CoRR (2024)
Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD (2024)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Tong Zhang, Hao Fang, Hao Zhang, Jialin Gao, Xiankai Lu, Xiushan Nie, Yilong Yin
Learning Feature Semantic Matching for Spatio-Temporal Video Grounding. IEEE Trans. Multim. 26 (2024)
Xiushan Nie, Yang Shi, Ziyu Meng, Jin Huang, Weili Guan, Yilong Yin
Complex Scenario Image Retrieval via Deep Similarity-aware Hashing. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113 (8) (2024)
Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. 328 (2024)
Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR (2024)
Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, Xi Li, Houren Zhou, Yilong Yin
Heterogeneous context interaction network for vehicle re-identification. Neural Networks 169 (2024)
Yuxiang Zheng, Zhongyi Han, Yilong Yin, Xin Gao, Tongliang Liu
Can We Treat Noisy Labels as Accurate? CoRR (2024)
Xiao Kang, Xingbo Liu, Wen Xue, Xuening Zhang, Xiushan Nie, Yilong Yin
Discrete online cross-modal hashing with consistency preservation. Pattern Recognit. 155 (2024)
Zheyun Qin, Xiaoming Xi, Yilong Yin
Distribution-Aware Contrastive Learning for Robust Medical Image Segmentation. ICASSP (2024)
Wenjia Meng, Qian Zheng, Long Yang, Yilong Yin, Gang Pan
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline. CoRR (2024)
Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin
DiffAIL: Diffusion Adversarial Imitation Learning. AAAI (2024)
Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin
Video Instance Segmentation Using Graph Matching Transformer. ICDM (Workshops) (2023)
Zheyun Qin, Xiankai Lu, Dongfang Liu, Xiushan Nie, Yilong Yin, Jianbing Shen, Alexander C. Loui
Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. IEEE Trans. Image Process. 32 (2023)
Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
Private-Library-Oriented Code Generation with Large Language Models. CoRR (2023)
Qiangchang Wang, Yilong Yin
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work. CoRR (2023)
Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin
MetaViewer: Towards A Unified Multi-View Representation. CVPR (2023)
Yang Yang, Ran Bao, Weili Guo, De-Chuan Zhan, Yilong Yin, Jian Yang
Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection. Sci. China Inf. Sci. 66 (12) (2023)
Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li
Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Kuikui Wang, Gongping Yang, Lu Yang, Yuwen Huang, Yilong Yin
ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding. Mach. Intell. Res. 20 (5) (2023)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Dongfang Liu, Yilong Yin, Wenguan Wang
Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. IEEE CAA J. Autom. Sinica 10 (5) (2023)
Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation. CVPR (2023)
Ren Wang, Haoliang Sun, Xiushan Nie, Yuxiu Lin, Xiaoming Xi, Yilong Yin
Multi-View Representation Learning via View-Aware Modulation. ACM Multimedia (2023)
Yang Shi, Xiushan Nie, Xingbo Liu, Lu Yang, Yilong Yin
Zero-Shot Hashing via Asymmetric Ratio Similarity Matrix. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Guoqiang Wu, Chongxuan Li, Yilong Yin
Towards Understanding Generalization of Macro-AUC in Multi-label Learning. CoRR (2023)
Xiushan Nie, Xingbo Liu, Jie Guo, Letian Wang, Yilong Yin
Supervised Discrete Multiple-Length Hashing for Image Retrieval. IEEE Trans. Big Data 9 (1) (2023)
Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. AAAI (2023)
Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin
DiffAIL: Diffusion Adversarial Imitation Learning. CoRR (2023)
Muwei Jian, Ruihong Wang, Hong Xu, Hui Yu, Junyu Dong, Gongfa Li, Yilong Yin, Kin-Man Lam
Robust seed selection of foreground and background priors based on directional blocks for saliency-detection system. Multim. Tools Appl. 82 (1) (2023)
Mengyi Wang, Xinxin Zhang, Yongshun Gong, Yilong Yin
Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement. ACM Multimedia (2023)
Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142 (2023)
Xiyu Pang, Xin Tian, Xiushan Nie, Yilong Yin, Gangwu Jiang
Vehicle re-identification based on grouping aggregation attention and cross-part interaction. J. Vis. Commun. Image Represent. 97 (2023)
Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. ACM Multimedia (2023)
Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS (2023)
Wan Su, Zhongyi Han, Rundong He, Benzheng Wei, Xueying He, Yilong Yin
Neighborhood-based credibility anchor learning for universal domain adaptation. Pattern Recognit. 142 (2023)
Xiyu Pang, Yilong Yin, Yanli Zheng
Multi-Receptive Field Soft Attention Part Learning for Vehicle Re-Identification. Entropy 25 (4) (2023)
Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM (2023)
Xiao Yang, Xiaoming Xi, Kesong Wang, Liangyun Sun, Lingzhao Meng, Xiushan Nie, Lishan Qiao, Yilong Yin
Triple-attention interaction network for breast tumor classification based on multi-modality images. Pattern Recognit. 139 (2023)
Ziruo Sun, Xiushan Nie, Xiaopeng Bi, Shaohua Wang, Yilong Yin
Detail enhancement-based vehicle re-identification with orientation-guided re-ranking. Pattern Recognit. 137 (2023)
Peng Zhao, Qiangchang Wang, Yilong Yin
M3R: Masked Token Mixup and Cross-Modal Reconstruction for Zero-Shot Learning. ACM Multimedia (2023)
Ren Wang, Haoliang Sun, Qi Wei, Xiushan Nie, Yuling Ma, Yilong Yin
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. CoRR (2023)
Wenjia Meng, Qian Zheng, Gang Pan, Yilong Yin
Off-Policy Proximal Policy Optimization. AAAI (2023)
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin
Fine-Grained Classification with Noisy Labels. CoRR (2023)
Xinxin Zhang, Kaixin Xing, Qifang Liu, Da Chen, Yilong Yin
Single Image Reflection Removal Based on Dark Channel Sparsity Prior. IEEE Trans. Circuits Syst. Video Technol. 33 (11) (2023)
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin
Fine-Grained Classification with Noisy Labels. CVPR (2023)
Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin
MetaViewer: Towards A Unified Multi-View Representation. CoRR (2023)
Peng Wu, Xiankai Lu, Jianbing Shen, Yilong Yin
Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos. ACM Multimedia (2023)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. AAAI (2023)
Lu Yang, Xing Liu, Gongping Yang, Jun Wang, Yilong Yin
Small-Area Finger Vein Recognition. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Guoqiang Wu, Chongxuan Li, Yilong Yin
Towards Understanding Generalization of Macro-AUC in Multi-label Learning. ICML (2023)
Letian Wang, Quan Zhou, Yuling Ma, Jie Guo, Xiushan Nie, Yilong Yin
Deep regional detail-aware hashing. Multim. Syst. 29 (1) (2023)
Zifei Jiang, Wei Li, Yan Huang, Yilong Yin, C.-C. Jay Kuo, Jingliang Peng
PESTA: An Elastic Motion Capture Data Retrieval Method. J. Comput. Sci. Technol. 38 (4) (2023)
Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR (2023)
Zhongyi Han, Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Benzheng Wei, Wei Wang, Yilong Yin
Abductive subconcept learning. Sci. China Inf. Sci. 66 (2) (2023)
Sumaira Hussain, Xiaoming Xi, Inam Ullah, Syeda Wajiha Naim, Kashif Shaheed, Cuihuan Tian, Yilong Yin
Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors. Sci. China Inf. Sci. 66 (2) (2023)
Yue Yuan, Rundong He, Zhongyi Han, Yilong Yin
LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection. ACM Multimedia (2023)
Rundong He, Zhongyi Han, Yang Yang, Yilong Yin
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch. AAAI (2022)
Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. CoRR (2022)
Ziqi Zhou, Li Lian, Yilong Yin, Ze Wang
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning. CoRR (2022)
Zhongyi Han, Wan Su, Rundong He, Yilong Yin
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. ACML (2022)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement for Neural Networks. ICME (2022)
Fan Wang, Zhongyi Han, Zhiyan Zhang, Yilong Yin
Active Source Free Domain Adaptation. CoRR (2022)
Yuling Ma, Peng Han, Huiyan Qiao, Chaoran Cui, Yilong Yin, Dehu Yu
SPAKT: A Self-Supervised Pre-TrAining Method for Knowledge Tracing. IEEE Access 10 (2022)
Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin
Series Photo Selection via Multi-view Graph Learning. CoRR (2022)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. ACM Multimedia (2022)
Rundong He, Rongxue Li, Zhongyi Han, Yilong Yin
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. CoRR (2022)
Chaoran Cui, Zhen Shen, Jin Huang, Meng Chen, Mingliang Xu, Meng Wang, Yilong Yin
Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 32 (4) (2022)
Wan Su, Fan Wang, Zhongyi Han, Yilong Yin
Transferable Discriminative Learning for Medical Open-Set Domain Adaptation: Application to Pneumonia Classification. BIBM (2022)
Lianxin Song, Xiaohui Han, Guangqi Liu, Wentong Wang, Chaoran Cui, Yilong Yin
Sequential Multi-task Learning with Task Dependency for Appeal Judgment Prediction. CoRR (2022)
Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. ECCV (30) (2022)
Xiao Yang, Xiaoming Xi, Lu Yang, Chuanzhen Xu, Zuoyong Song, Xiushan Nie, Lishan Qiao, Chenglong Li, Qinglei Shi, Yilong Yin
Multi-modality relation attention network for breast tumor classification. Comput. Biol. Medicine 150 (2022)
Ren Wang, Haoliang Sun, Xiushan Nie, Yilong Yin
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning. Knowl. Based Syst. 247 (2022)
Zhongyi Han, Haoliang Sun, Yilong Yin
Learning Transferable Parameters for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31 (2022)
Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. CVPR (2022)
Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin
Enabling the interpretability of pretrained venue representations using semantic categories. Knowl. Based Syst. 235 (2022)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement For Neural Networks. CoRR (2022)
Daoheng Li, Xiushan Nie, Xiaofeng Li, Yu Zhang, Yilong Yin
Context-related video anomaly detection via generative adversarial network. Pattern Recognit. Lett. 156 (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yilong Yin