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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  
AUC-Oriented Domain Adaptation: From Theory to Algorithm 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14161-14174
作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  Wen, Peisong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
AUC-oriented Learning  domain adaptation  machine learning  
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  
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  
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 1017-1035
作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Recommendation system  collaborative metric learning  negative sampling  machine learning  
Learning With Multiclass AUC: Theory and Algorithms 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 11, 页码: 7747-7763
作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
AUC optimization  machine learning  
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 6, 页码: 3154-3169
作者:  Xu, Qianqian;  Yang, Zhiyong;  Jiang, Yangbangyan;  Cao, Xiaochun;  Yao, Yuan;  Huang, Qingming
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
Noise measurement  Annotations  Task analysis  Predictive models  Robustness  Visualization  Training  Subjective visual property (SVP)  robustness  outlier detection  probabilistic model  
Neural Collaborative Preference Learning With Pairwise Comparisons 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1977-1989
作者:  Li, Zhaopeng;  Xu, Qianqian;  Jiang, Yangbangyan;  Ma, Ke;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21
Recommender system  collaborative ranking  neural networks  preference ranking  
From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 4, 页码: 844-856
作者:  Xu, Qianqian;  Xiong, Jiechao;  Cao, Xiaochun;  Huang, Qingming;  Yao, Yuan
收藏  |  浏览/下载：84/0  |  提交时间：2019/08/16
Preference aggregation  HodgeRank  mixed-effects models  linearized bregman iterations  personalized ranking  position bias