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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：22/0  |  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  
Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 9, 页码: 3283-3293
作者:  Pang, Junbiao;  Huang, Jing;  Du, Yong;  Yu, Haitao;  Huang, Qingming;  Yin, Baocai
收藏  |  浏览/下载：76/0  |  提交时间：2019/12/10
Bus arriving time prediction  recurrent neural network  heterogenous measurement  long-range dependencies  multi-step-ahead prediction  
Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2397-2409
作者:  Pang, Junbiao;  Tao, Fei;  Huang, Qingming;  Tian, Qi;  Yin, Baocai
收藏  |  浏览/下载：74/0  |  提交时间：2019/12/10
Multimodal description  Poisson deconvolution (PD)  topic coherent  topic description  topic detection on Web  
Increasing Interpretation of Web Topic Detection via Prototype Learning From Sparse Poisson Deconvolution 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 3, 页码: 1072-1083
作者:  Pang, Junbiao;  Hu, Anjing;  Huang, Qingming;  Tian, Qi;  Yin, Baocai
收藏  |  浏览/下载：76/0  |  提交时间：2019/04/03
Poisson deconvolution  prototype learning (PL)  sparsity  submodularity  topic interpretation  Web topic detection  
Discovering Fine-Grained Spatial Pattern From Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 10, 页码: 3208-3219
作者:  Pang, Junbiao;  Huang, Jing;  Yang, Xue;  Wang, Zuyun;  Yu, Haitao;  Huang, Qingming;  Yin, Baocai
收藏  |  浏览/下载：65/0  |  提交时间：2019/12/10
Spatio-temporal pattern  fine-grained pattern  low-rank regularity  matrix factorization  taxis trip  point process  
Joint Feature Selection and Classification for Multilabel Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 3, 页码: 876-889
作者:  Huang, Jun;  Li, Guorong;  Huang, Qingming;  Wu, Xindong
收藏  |  浏览/下载：53/0  |  提交时间：2019/12/10
Feature selection  label correlation  label-specific features  multilabel classification  shared features  
Bilevel Multiview Latent Space Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 卷号: 28, 期号: 2, 页码: 327-341
作者:  Xue, Zhe;  Li, Guorong;  Wang, Shuhui;  Zhang, Weigang;  Huang, Qingming
收藏  |  浏览/下载：72/0  |  提交时间：2019/12/10
Image and video classification  latent space  matrix factorization  multiview  
A two-step approach to describing web topics via probable keywords and prototype images from background-removed similarities 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 478-487
作者:  Pang, Junbiao;  Tao, Fei;  Li, Liang;  Huang, Qingming;  Yin, Baocai;  Tian, Qi
收藏  |  浏览/下载：70/0  |  提交时间：2019/12/10
Topic description  Poisson deconvolution  User-Generated Content  Topic detection  Background similarity  Multi-modal description  
Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 23, 页码: 25145-25157
作者:  Pang, Junbiao;  Huang, Jing;  Zhang, Weigang;  Huang, Qingming;  Yin, Baocai
收藏  |  浏览/下载：43/0  |  提交时间：2019/12/10
Unsupervised ranking  Poisson noise  Gaussian noise  Similarity Diffusion Process  Deconvolution