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Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 2, 页码: 957-974
作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Huang, Qingming
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Recommender system  collaborative filtering  confounding bias  debias  counterfactual learning  
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511
作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：4/0  |  提交时间：2024/05/20
Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning  
Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 22
作者:  Zhang, Weigang;  Qi, Zhaobo;  Wang, Shuhui;  Su, Chi;  Su, Li;  Huang, Qingming
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Event recognition  temporal concept receptive field  dynamic convolution  
Optimizing Two-Way Partial AUC With an End-to-End Framework 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 10228-10246
作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
AUC Optimization  machine learning  partial AUC  
General Greedy De-Bias Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9789-9805
作者:  Han, Xinzhe;  Wang, Shuhui;  Su, Chi;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Task analysis  Correlation  Training  Data models  Question answering (information retrieval)  Visualization  Image classification  Curriculum learning  dataset biases  greedy strategy  robust learning  
Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7668-7685
作者:  Xu, Qianqian;  Yang, Zhiyong;  Zhao, Yunrui;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Data models  Training data  Training  Deep learning  Predictive models  Testing  Optimization  Label flipping attack  machine learning  
Viewpoint-Adaptive Representation Disentanglement Network for Change Captioning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 2620-2635
作者:  Tu, Yunbin;  Li, Liang;  Su, Li;  Du, Junping;  Lu, Ke;  Huang, Qingming
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Task analysis  Image coding  Adaptation models  Encoding  Computer science  Transformers  Semantics  Change captioning  representation disentanglement  viewpoint-adaptive  position-embedded representation learning  
Neighborhood Contrastive Transformer for Change Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9518-9529
作者:  Tu, Yunbin;  Li, Liang;  Su, Li;  Lu, Ke;  Huang, Qingming
收藏  |  浏览/下载：1/0  |  提交时间：2024/05/20
Change captioning  neighborhood contrastive transformer  syntax dependencies  
Does Thermal Really Always Matter for RGB-T Salient Object Detection? 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6971-6982
作者:  Cong, Runmin;  Zhang, Kepu;  Zhang, Chen;  Zheng, Feng;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Task analysis  Decoding  Semantics  Object detection  Location awareness  Lighting  Feature extraction  RGB-T images  salient object detection  global illumination estimation  semantic constraint provider  localization and complementation  
Uncertainty Modeling for Robust Domain Adaptation Under Noisy Environments 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6157-6170
作者:  Zhuo, Junbao;  Wang, Shuhui;  Huang, Qingming
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Domain Adaptation  Uncertainty  Noisy Label  Transfer Learning  Deep Learning