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A hierarchical contextual attention-based network for sequential recommendation 期刊论文
NEUROCOMPUTING, 2019, 卷号: 358, 页码: 141-149
作者:  Cui, Qiang;  Wu, Shu;  Huang, Yan;  Wang, Liang
浏览  |  Adobe PDF(545Kb)  |  收藏  |  浏览/下载：266/28  |  提交时间：2019/05/09
Sequential recommendation  Recurrent neural network  Short-term interest  Context  Attention mechanism  
Hierarchical Graph Convolutional Network For Skeleton-Based Action Recognition 会议论文
, Beijing, China, 2019-8-23
作者:  Huang, Linjiang;  Huang, Yan;  Ouyang, Wanli;  Wang, Liang
浏览  |  Adobe PDF(524Kb)  |  收藏  |  浏览/下载：295/75  |  提交时间：2020/06/10
Part-aligned pose-guided recurrent network for action recognition 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 92, 期号: 1, 页码: 165-176
作者:  Huang, Linjiang;  Huang, Yan;  Ouyang, Wanli;  Wang, Liang
浏览  |  Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：484/114  |  提交时间：2019/07/11
Action recognition  Part alignment  Auto-transformer attention  
Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2665-2679
作者:  Wang, Yunbo;  Liang, Jian;  Cao, Dong;  Sun, Zhenan
浏览  |  Adobe PDF(1445Kb)  |  收藏  |  浏览/下载：458/102  |  提交时间：2019/04/23
Image retrieval  deep hashing  similarity-preserving  local structures  Hamming-isometric  
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks 会议论文
, San Francisco, CA, USA, 2019-5-12
作者:  Zeyu Cui;  Zekun Li;  Shu Wu;  Xiaoyu Zhang;  Liang Wang
Adobe PDF(3699Kb)  |  收藏  |  浏览/下载：142/25  |  提交时间：2021/06/01
Graph neural networks  Compatibility learning  multi-modal  
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:  Ma, Zhanyu;  Lai, Yuping;  Kleijn, W. Bastiaan;  Song, Yi-Zhe;  Wang, Liang;  Guo, Jun
收藏  |  浏览/下载：269/0  |  提交时间：2019/07/12
Bayesian estimation  computer vision  Dirichlet process (DP) mixture  inverted Dirichlet distribution  variational learning