Efficient Mining Algorithm of Frequent Itemsets for Uncertain Data Streams. - Qianqian Wang 007; Fang-Ai Liu (ISCID (2), 2016)

Identifying Influential Spreaders in Social Networks Via Normalized Local Structure Attributes. - Xiaohui Zhao 002; Fang'ai Liu; Shuning Xing; Qianqian Wang 007 (IEEE Access, 2018)

A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism. - Qianqian Wang 007; Fang'ai Liu; Shuning Xing; Xiaohui Zhao 002 (Comput. Math. Methods Medicine, 2018)

Research on CTR Prediction Based on Deep Learning. - Qianqian Wang 007; Fang'ai Liu; Shuning Xing; Xiaohui Zhao 002; Tianlai Li (IEEE Access, 2019)

Capsule Network With Identifying Transferable Knowledge for Cross-Domain Sentiment Classification. - Hongxia Yin; Peiyu Liu 001; Zhenfang Zhu; Wenkuan Li; Qianqian Wang 007 (IEEE Access, 2019)

R-Transformer Network Based on Position and Self-Attention Mechanism for Aspect-Level Sentiment Classification. - Ziyu Zhou; Fang'ai Liu; Qianqian Wang 007 (IEEE Access, 2019)

Research on CTR prediction based on stacked autoencoder. - Qianqian Wang 007; Fang'ai Liu; Shuning Xing; Xiaohui Zhao 002 (Appl. Intell., 2019)

Content-aware point-of-interest recommendation based on convolutional neural network. - Shuning Xing; Fang'ai Liu; Qianqian Wang 007; Xiaohui Zhao 002; Tianlai Li (Appl. Intell., 2019)

Improved algorithm for parallel mining collaborative frequent itemsets in multiple data streams. - Fang'ai Liu; Qianqian Wang 007; Xin Wang (Clust. Comput., 2019)

A hierarchical attention model for rating prediction by leveraging user and product reviews. - Shuning Xing; Fang'ai Liu; Qianqian Wang 007; Xiaohui Zhao 002; Tianlai Li (Neurocomputing, 2019)

A Hierarchical Attention Model for CTR Prediction Based on User Interest. - Qianqian Wang 007; Fangai Liu; Pu Huang; Shuning Xing; Xiaohui Zhao 002 (IEEE Syst. J., 2020)