Shuning Xing

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 11

Top Topics

Matrix Factorization

Attention Mechanism

Social Network Data

Compound Critiques

Top Venues

IEEE Trans. Serv. Comput.

Comput. Math. Methods Medicine

Publications

Ding Ding, Kyuho Jeong, Shuning Xing, Mauro Conti, Renato Figueiredo, Fangai Liu
SEnD: A Social Network Friendship Enhanced Decentralized System to Circumvent Censorships. IEEE Trans. Serv. Comput. 15 (1) (2022)
Qianqian Wang, Fangai Liu, Pu Huang, Shuning Xing, Xiaohui Zhao
A Hierarchical Attention Model for CTR Prediction Based on User Interest. IEEE Syst. J. 14 (3) (2020)
Qiaoqiao Tan, Fangai Liu, Shuning Xing
Implicit Recommendation with Interest Change and User Influence. ICSCA (2019)
Qianqian Wang, Fang'ai Liu, Shuning Xing, Xiaohui Zhao, Tianlai Li
Research on CTR Prediction Based on Deep Learning. IEEE Access 7 (2019)
Qianqian Wang, Fang'ai Liu, Shuning Xing, Xiaohui Zhao
Research on CTR prediction based on stacked autoencoder. Appl. Intell. 49 (8) (2019)
Shuning Xing, Fang'ai Liu, Qianqian Wang, Xiaohui Zhao, Tianlai Li
Content-aware point-of-interest recommendation based on convolutional neural network. Appl. Intell. 49 (3) (2019)
Shuning Xing, Fang'ai Liu, Qianqian Wang, Xiaohui Zhao, Tianlai Li
A hierarchical attention model for rating prediction by leveraging user and product reviews. Neurocomputing 332 (2019)
Xiaohui Zhao, Fang'ai Liu, Shuning Xing, Qianqian Wang
Identifying Influential Spreaders in Social Networks Via Normalized Local Structure Attributes. IEEE Access 6 (2018)
Shuning Xing, Fangai Liu, Xiaohui Zhao, Tianlai Li
Points-of-interest recommendation based on convolution matrix factorization. Appl. Intell. 48 (8) (2018)
Qianqian Wang, Fang'ai Liu, Shuning Xing, Xiaohui Zhao
A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism. Comput. Math. Methods Medicine 2018 (2018)
Yan Leng, Chengli Sun, Xinyan Xu, Qi Yuan, Shuning Xing, Honglin Wan, Jingjing Wang, Dengwang Li
Employing unlabeled data to improve the classification performance of SVM, and its application in audio event classification. Knowl. Based Syst. 98 (2016)