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Exploiting user comments for early detection of fake news prior to users' commenting 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2025, 卷号: 19, 期号: 10, 页码: 13
作者:  Nan, Qiong;  Sheng, Qiang;  Cao, Juan;  Zhu, Yongchun;  Wang, Danding;  Yang, Guang;  Li, Jintao
收藏  |  浏览/下载：4/0  |  提交时间：2025/06/25
fake news detection  knowledge distillation  early detection  
Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 4, 页码: 2460-2474
作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Ma, Zhanyu;  Huang, Qingming
收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25
Estimation  Imputation  Training data  IP networks  Accuracy  Supervised learning  Recommender systems  Noise  Data models  Computer science  Recommender system  collaborative filtering  debias  noise-robust learning  pairwise ranking loss  
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 12, 页码: 9004-9022
作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：1/0  |  提交时间：2025/06/25
Collaborative metric learning (CML)  machine learning  partial AUC optimization  recommendation system  
A prompt-based approach to adversarial example generation and robustness enhancement 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 4, 页码: 12
作者:  Yang, Yuting;  Huang, Pei;  Cao, Juan;  Li, Jintao;  Lin, Yun;  Ma, Feifei
收藏  |  浏览/下载：32/0  |  提交时间：2024/05/20
robustness  adversarial example  prompt learning  pre-trained language model  
Recent advances in 3D Gaussian splatting 期刊论文
COMPUTATIONAL VISUAL MEDIA, 2024, 页码: 30
作者:  Wu, Tong;  Yuan, Yu-Jie;  Zhang, Ling-Xiao;  Yang, Jie;  Cao, Yan-Pei;  Yan, Ling-Qi;  Gao, Lin
收藏  |  浏览/下载：13/0  |  提交时间：2024/12/06
3D Gaussian splatting (3DGS)  radiance field  novel view synthesis  3D editing  scene generation  
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：26/0  |  提交时间：2024/05/20
Recommender system  collaborative filtering  confounding bias  debias  counterfactual learning  
Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations 期刊论文
TRANSLATIONAL PSYCHIATRY, 2024, 卷号: 14, 期号: 1, 页码: 8
作者:  Song, Yuxiang;  Zhang, Di;  Wang, Qian;  Liu, Yuqing;  Chen, Kunsha;  Sun, Jingjia;  Shi, Likai;  Li, Baowei;  Yang, Xiaodong;  Mi, Weidong;  Cao, Jiangbei
收藏  |  浏览/下载：25/0  |  提交时间：2024/05/20
Positive-Unlabeled Learning With Label Distribution Alignment 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15345-15363
作者:  Jiang, Yangbangyan;  Xu, Qianqian;  Zhao, Yunrui;  Yang, Zhiyong;  Wen, Peisong;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：28/0  |  提交时间：2024/05/20
Estimation  Stochastic processes  Optimization  Computer science  Predictive models  Information processing  Fasteners  Positive-unlabeled learning  weakly supervised learning  binary classification  
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：25/0  |  提交时间：2024/05/20
AUC-oriented Learning  domain adaptation  machine 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：32/0  |  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