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Xiruo Jiang, Yazhou Yao*, Sheng Liu, Fumin Shen, Liqiang Nie, and Xiansheng Hua, "Dual Dynamic Threshold Adjustment Strategy", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024.
Xinhao Cai, Qiuxia LAI, Yuwei Wang, Wenguan Wang*, Zeren Sun, Yazhou Yao*, "Poly Kernel Inception Network for Remote Sensing Detection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao*, "VideoMAC: Video Masked Autoencoders Meet ConvNets", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao*, Xian-Sheng Hua, and Heng-Tao Shen, "Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection", IEEE Transactions on Multimedia (TMM), 2024.
Tao Chen, Yazhou Yao*, Xingguo Huang, Zechao Li, Liqiang Nie and Jinhui Tang, "Spatial Structure Constraints for Weakly Supervised Semantic Segmentation", IEEE Transactions on Image Processing (TIP), 2024.
Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao*, "Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning", AAAI Conference on Artificial Intelligence (AAAI), 2024.
Gensheng Pei, Fumin Shen, Yazhou Yao*, Tao Chen, Xian-Sheng Hua, and Heng-Tao Shen, "Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation", IEEE Transactions on Image Processing (TIP), 2023.
Yin Tang, Tao Chen, Xiruo Jiang, Yazhou Yao*, Guo-Sen Xie, and Heng-Tao Shen, "Holistic Prototype Attention Network for Few-shot Video Object Segmentation", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
Tao Chen, Yazhou Yao*, and Jinhui Tang, "Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation", IEEE Transactions on Image Processing (TIP), 2023.
Yazhou Yao, Tao Chen, Hanbo Bi, Xinhao Cai, Gensheng Pei, Guoye Yang, Zhiyuan Yan, Xian Sun, Xing Xu, and Hai Zhang, "Automated Object Recognition in High-resolution Optical Remote Sensing Imagery", National Science Review (NSR), 2023 (IF：23.178)
Gensheng Pei, Yazhou Yao, Fumin Shen, Dan Huang, Xingguo Huang, and Heng-Tao Shen, "Hierarchical Co-attention Propagation Network for Zero-Shot Video Object Segmentation", IEEE Transactions on Image Processing (TIP), 2023.
Junzhu Mao, Yazhou Yao, Zeren Sun, Xingguo Huang, Fumin Shen and Heng-Tao Shen, "Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device", IEEE Transactions on Multimedia (TMM), 2023.
Haonan Luo, Guosheng Lin, Fumin Shen, Xingguo Huang, Yazhou Yao, and Hengtao Shen, "Robust-EQA: Robust Learning for Embodied Question Answering with Noisy Labels", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin Hancock, "Information Bottleneck and Selective Noise Supervision for Zero‑shot Learning", Machine Learning (ML), 2023.
Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao*, and Xian-Sheng Hua, "FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network", IEEE Transactions on Multimedia (TMM), 2023.
Lei Ma, Yuhui Zheng, Zhao Zhang, Yazhou Yao, Xijian Fan, Qiaolin Ye, "Motion Stimulation for Compositional Action Recognition", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
Xiruo Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guosen Xie, and Ling Shao, "Deep Metric Learning based on Meta-Mining Strategy with Semi-Global Information", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, and Zhenmin Tang, "Guided by Meta-set: A Data-driven Method for Fine-Grained Visual Recognition", IEEE Transactions on Multimedia (TMM), 2022.
Gensheng Pei, Yazhou Yao*, Guo-Sen Xie, Fumin Shen, Zhenmin Tang, Jinhui Tang, "Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation", European Conference on Computer Vision (ECCV), 2022.
Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao*, and Jinhui Tang, “PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Zeren Sun, Yazhou Yao*, Xiu-Shen Wei, Fumin Shen, Jian Zhang, and Xian-Sheng Hua, “Boosting Robust Learning via Leveraging Reusable Samples in Noisy Web Data”, IEEE Transactions on Multimedia (TMM), 2022.
Tao Chen, Qiong Wang, Lei Zhang, Yazhou Yao*, Guosen Xie, and Fumin Shen, “Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation”, IEEE Transactions on Multimedia (TMM), 2022.
Haonan Luo, Guosheng Lin, Yazhou Yao, Zichuan Liu, Fayao Liu, and Zhenmin Tang, “Depth and Video Segmentation Based Visual Attention for Embodied Question Answering”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
Zhenhuang Cai, Guo-Sen Xie, Xingguo Huang, Dan Huang, Yazhou Yao, Zhenmin Tan, “Robust learning from noisy web data for fine-Grained recognition”, Pattern Recognition (PR), 2022.
丁静，舒祥波，黄捧，宋砚，姚亚洲，“基于多模态多粒度图卷积网络的老年人日常行为识别”，软件学报，2021.
Zhenbo Song, Jianfeng Lu, Yazhou Yao, and Jian Zhang, “Self-Supervised Depth Completion from Direct Visual-LiDAR Odometry in Autonomous Driving”, IEEE Transactions on Intelligent Transportation Systems (TITS), 2021.
Zeren Sun, Yazhou Yao*, Xiu-Shen Wei*, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, and Heng Tao Shen, “Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach”, IEEE International Conference on Computer Vision (ICCV), 2021.
Guo-Sen Xie, Jie Liu, Huan Xiong, Yazhou Yao, and Ling Shao, “Few-Shot Semantic Segmentation with Cyclic Memory Network”, IEEE International Conference on Computer Vision (ICCV), 2021.
Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, and Xiansheng Hua, “Dense Semantics-Assisted Networks For Video Action Recognition”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
Jian Dong, Wankou Yang, Yazhou Yao, and Fatih Porikli, “Knowledge Memorization and Generation for Action Recognition in Single Image”, Pattern Recognition (PR), 2021.
Chuanyi Zhang, Yazhou Yao*, Xing Xu, Jie Shao, Jingkuan Song, Zechao Li, Zhenmin Tang, “Extracting Useful Knowledge form Noisy Web Images via Data Purification for Fine-Grained Recognition”, ACM International Conference on Multimedia (ACM MM), 2021.
Ji Zhang, Jingkuan Song, Yazhou Yao, Lianli Gao, “Curriculum-Based Meta-learning”, ACM International Conference on Multimedia (ACM MM), 2021.
Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu, “Video Representation Learning with Graph Contrastive Augmentation”, ACM International Conference on Multimedia (ACM MM), 2021.
Yifan Ren, Xing Xu, Fumin Shen, Yazhou Yao, Huimin Lu, “CAA: Candidate-Aware Aggregation for Temporal Action Detection”, ACM International Conference on Multimedia (ACM MM), 2021.
Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang, “Jo-SRC: A Contrastive Approach for Combating Noisy Labels”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Yazhou Yao, Tao Chen, Guosen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang, “Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Tao Chen, Guosen Xie, Yazhou Yao*, Qiong Wang, Fumin Shen, Zhenmin Tang, and Jian Zhang, “Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation”, IEEE Transactions on Multimedia (TMM), 2021.
Huafeng Liu, Chuanyi Zhang, Yazhou Yao*, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, and Jian Zhang, “Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples”, IEEE Transactions on Multimedia (TMM), 2021.
Lu Zhang, Jialie Shen, Jian Zhang, Jingsong Xu, Zhibin Li, Yazhou Yao, Litao Yu, “Multimodal Marketing Intent Analysis for Effective Targeted Advertising”, IEEE Transactions on Multimedia (TMM), 2021.
Haofeng Zhang, Yifan Gu, Yazhou Yao, Zheng Zhang, Li Liu, Jian Zhang, Ling Shao, “Deep Unsupervised Self-evolutionary Hashing for Image Retrieval”, IEEE Transactions on Multimedia (TMM), 2021.
Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, and Ling Shao, “VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning”, IEEE Transactions on Image Processing (TIP), 2021.
Zeren Sun, Yazhou Yao*, Jimin Xiao, Lei Zhang, Zhenmin Tang, and Jian Zhang, “Exploiting Textual Queries for Dynamically Visual Disambiguation”, Pattern Recognition (PR), 2021.
Chuanyi Zhang, Yazhou Yao*, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu, “Data-driven Meta-set Based Fine-Grained Visual Recognition”, ACM International Conference on Multimedia (ACM MM), 2020.
Zeren Sun, Xian-sheng Hua, Yazhou Yao*, Xiu-shen Wei, Guosheng Hu, Jian Zhang, “CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning”, ACM International Conference on Multimedia (ACM MM), 2020.
Benyi Hu, Renjie Song, Xiu-Shen Wei, Yazhou Yao, Xiansheng Hua, and Yuehu Liu, “PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks”, ACM International Conference on Multimedia (ACM MM), 2020.
Yazhou Yao, Xian-sheng Hua, Guanyu Gao, Zeren Sun, Zhibin Li, Jian Zhang, “Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch”, ACM International Conference on Multimedia (ACM MM), 2020.
Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, and Heng-Tao Shen, “Towards Automatic Construction of Diverse, High-quality Image Datasets”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Yazhou Yao, Fumin Shen, Guosen Xie, Li Liu, Fan Zhu, Jian Zhang, Heng-Tao Shen, “Exploiting Web Images for Multi-output Classification: From Category to Subcategories”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, and Xin Gao, “Approximate Kernel Selection via Matrix Approximation”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu, “Field-wise Learning for Multi-field Categorical Data”, Neural Information Processing Systems (NIPS), 2020.
Chuanyi Zhang, Yazhou Yao*, Guosen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang, “Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification”, AAAI Conference on Artificial Intelligence (AAAI), 2020.
Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao, “Motion-Attentive Transition for Zero-Shot Video Object Segmentation”, AAAI Conference on Artificial Intelligence (AAAI), 2020.
Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu, “Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing”, International Joint Conference on Artificial Intelligence (IJCAI), 2020.
Guosen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao, “Region Graph Embedding Network for Zero-Shot Learning”, European Conference on Computer Vision (ECCV), 2020.
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