CSpace

浏览/检索结果: 共8条,第1-8条 帮助

已选(0)清除 条数/页:   排序方式:
GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 186, 页码: 11
作者:  Zhu, Xiaofei;  Zhu, Ling;  Guo, Jiafeng;  Liang, Shangsong;  Dietze, Stefan
收藏  |  浏览/下载:58/0  |  提交时间:2021/12/01
Graph convolutional networks  Aspect-based sentiment classification  Attention mechanism  Sentiment analysis  
Exploring user historical semantic and sentiment preference for microblog sentiment classification 期刊论文
NEUROCOMPUTING, 2021, 卷号: 464, 页码: 141-150
作者:  Zhu, Xiaofei;  Wua, Jie;  Zhu, Ling;  Guo, Jiafeng;  Yu, Ran;  Boland, Katarina;  Dietze, Stefan
收藏  |  浏览/下载:45/0  |  提交时间:2021/12/01
Microblog analysis  Sentiment classification  User historical preference  
A Deep Look into neural ranking models for information retrieval 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2020, 卷号: 57, 期号: 6, 页码: 20
作者:  Guo, Jiafeng;  Fan, Yixing;  Pang, Liang;  Yang, Liu;  Ai, Qingyao;  Zamani, Hamed;  Wu, Chen;  Croft, W. Bruce;  Cheng, Xueqi
收藏  |  浏览/下载:46/0  |  提交时间:2021/12/01
Neural ranking model  Information retrieval  Survey  
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering 期刊论文
NEURAL PROCESSING LETTERS, 2020, 页码: 16
作者:  Zhu, Xiaofei;  Do, Khoi Duy;  Guo, Jiafeng;  Xu, Jun;  Dietze, Stefan
收藏  |  浏览/下载:59/0  |  提交时间:2020/12/10
Deep neural networks  Stacked autoencoder  Manifold constraint  Clustering  
Multi -view image clustering based on sparse coding and manifold consensus 期刊论文
NEUROCOMPUTING, 2020, 卷号: 403, 页码: 53-62
作者:  Zhu, Xiaofei;  Guo, Jiafeng;  Nejdl, Wolfgang;  Liao, Xiangwen;  Dietze, Stefan
收藏  |  浏览/下载:53/0  |  提交时间:2020/12/10
Dual-factor Generation Model for Conversation 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020, 卷号: 38, 期号: 3, 页码: 31
作者:  Zhang, Ruqing;  Guo, Jiafeng;  Fan, Yixing;  Lan, Yanyan;  Cheng, Xueqi
收藏  |  浏览/下载:34/0  |  提交时间:2021/12/01
Conversation  dual-factor generation  responder state modeling  
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: 31, 期号: 6, 页码: 1181-1193
作者:  Xu, Jun;  Zeng, Wei;  Lan, Yanyan;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载:89/0  |  提交时间:2019/08/16
Learning to rank  ranking SVM  parameter interactions  low-rank approximation  
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 156848-156859
作者:  Cui, Guoxin;  Guo, Jiafeng;  Fan, Yixing;  Lan, Yanyan;  Cheng, Xueqi
收藏  |  浏览/下载:42/0  |  提交时间:2020/12/10
Training  Market research  Acceleration  Convergence  Servers  Stochastic processes  Machine learning  Parameter trend  asynchronous SGD  accelerate training