Dynamically Visual Disambiguation of Keyword-based Image Search. - Yazhou Yao; Zeren Sun; Fumin Shen; Li Liu 004; Limin Wang 002; Fan Zhu 001; Lizhong Ding 001; Gangshan Wu; Ling Shao 001 (IJCAI, 2019)

Road Segmentation with Image-LiDAR Data Fusion. - Huafeng Liu 004; Yazhou Yao; Zeren Sun; Xiangrui Li; Ke Jia; Zhenmin Tang (CoRR, 2019)

CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning. - Zeren Sun; Xian-Sheng Hua 001; Yazhou Yao; Xiu-Shen Wei; Guosheng Hu; Jian Zhang 002 (ACM Multimedia, 2020)

Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch. - Yazhou Yao; Xiansheng Hua 001; Guanyu Gao; Zeren Sun; Zhibin Li 002; Jian Zhang 002 (ACM Multimedia, 2020)

Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification. - Pengzhen Du; Zeren Sun; Yazhou Yao; Zhenmin Tang (IEEE Access, 2020)

Salvage Reusable Samples from Noisy Data for Robust Learning. - Zeren Sun; Xian-Sheng Hua 001; Yazhou Yao; Xiu-Shen Wei; Guosheng Hu; Jian Zhang 002 (CoRR, 2020)

Road segmentation with image-LiDAR data fusion in deep neural network. - Huafeng Liu 004; Yazhou Yao; Zeren Sun; Xiangrui Li; Ke Jia; Zhenming Tang (Multim. Tools Appl., 2020)

Jo-SRC: A Contrastive Approach for Combating Noisy Labels. - Yazhou Yao; Zeren Sun; Chuanyi Zhang; Fumin Shen; Qi Wu 001; Jian Zhang 002; Zhenmin Tang (CVPR, 2021)

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. - Zeren Sun; Yazhou Yao; Xiu-Shen Wei; Yongshun Zhang; Fumin Shen; Jianxin Wu 001; Jian Zhang 002; Heng Tao Shen (ICCV, 2021)

Exploiting textual queries for dynamically visual disambiguation. - Zeren Sun; Yazhou Yao; Jimin Xiao; Lei Zhang 054; Jian Zhang 002; Zhenmin Tang (Pattern Recognit., 2021)

PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction. - Zeren Sun; Fumin Shen; Dan Huang; Qiong Wang 003; Xiangbo Shu; Yazhou Yao; Jinhui Tang 001 (CVPR, 2022)

Unsupervised Pre-training for 3D Object Detection with Transformer. - Maosheng Sun; Xiaoshui Huang; Zeren Sun; Qiong Wang 003; Yazhou Yao (PRCV (3), 2022)

Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise. - Zeren Sun; Huafeng Liu 004; Qiong Wang 003; Tianfei Zhou; Qi Wu 001; Zhenmin Tang (IEEE Trans. Multim., 2022)

Attention Map Guided Transformer Pruning for Edge Device. - Junzhu Mao; Yazhou Yao; Zeren Sun; Xingguo Huang; Fumin Shen; Heng Tao Shen (CoRR, 2023)

Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device. - Junzhu Mao; Yazhou Yao; Zeren Sun; Xingguo Huang; Fumin Shen; Heng Tao Shen (IEEE Trans. Multim., 2023)

Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data. - Zeren Sun; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Jian Zhang 002; Xian-Sheng Hua 001 (IEEE Trans. Multim., 2023)

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. - Mengmeng Sheng; Zeren Sun; Zhenhuang Cai; Tao Chen 012; Yichao Zhou; Yazhou Yao (AAAI, 2024)

Poly Kernel Inception Network for Remote Sensing Detection. - Xinhao Cai; Qiuxia Lai; Yuwei Wang; Wenguan Wang; Zeren Sun; Yazhou Yao (CVPR, 2024)

VideoMAC: Video Masked Autoencoders Meet ConvNets. - Gensheng Pei; Tao Chen 012; Xiruo Jiang; Huafeng Liu 004; Zeren Sun; Yazhou Yao (CVPR, 2024)

Knowledge Transfer with Simulated Inter-image Erasing for Weakly Supervised Semantic Segmentation. - Tao Chen 012; Xiruo Jiang; Gensheng Pei; Zeren Sun; Yucheng Wang; Yazhou Yao (ECCV (42), 2024)

Foster Adaptivity and Balance in Learning with Noisy Labels. - Mengmeng Sheng; Zeren Sun; Tao Chen 012; Shuchao Pang; Yucheng Wang; Yazhou Yao (ECCV (27), 2024)

Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection. - Yuhao Gao; Gensheng Pei; Mengmeng Sheng; Zeren Sun; Tao Chen 012; Yazhou Yao (ICME, 2024)

Progressively Robust Loss for Deep Learning with Noisy Labels. - Zhenhuang Cai; Shuai Yan; Yuanbo Chen; Chuanyi Zhang; Zeren Sun; Yazhou Yao (IJCNN, 2024)

Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach. - Mengmeng Sheng; Zeren Sun; Gensheng Pei; Tao Chen 012; Haonan Luo; Yazhou Yao (ACM Multimedia, 2024)

Delving Deeper Into Clean Samples for Combating Noisy Labels. - Yiyou Gao; Zeren Sun; Yazhou Yao; Xiruo Jiang; Zhenmin Tang (PRCV (9), 2024)

Relating CNN-Transformer Fusion Network for Change Detection. - Yuhao Gao; Gensheng Pei; Mengmeng Sheng; Zeren Sun; Tao Chen 012; Yazhou Yao (CoRR, 2024)

Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. - Huafeng Liu 004; Mengmeng Sheng; Zeren Sun; Yazhou Yao; Xian-Sheng Hua 001; Heng Tao Shen (IEEE Trans. Multim., 2024)