Incorporating Contextual Information into a Mobile Advertisement Recommender System. - Ke Zhu 003; Yingyuan Xiao; Pengqiang Ai; Hongya Wang; Ching-Hsien Hsu (APWeb, 2015)

A Personalized News Recommendation System Based on Tag Dependency Graph. - Pengqiang Ai; Yingyuan Xiao; Ke Zhu 003; Hongya Wang; Ching-Hsien Hsu (WAIM, 2015)

A context-aware recommendation system based on latent factor model. - Zhenling Zhang; Yingyuan Xiao; Wenxin Zhu; Xu Jiao; Ke Zhu 003; Huafeng Deng; Yan Shen (ICNC-FSKD, 2017)

DFILAN: Domain-Based Feature Interactions Learning via Attention Networks for CTR Prediction. - Yongliang Han; Yingyuan Xiao; Hongya Wang; Wenguang Zheng; Ke Zhu 003 (DASFAA (2), 2021)

Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs. - Miao Li; Wenguang Zheng; Yingyuan Xiao; Ke Zhu 003; Wei Huang 033 (IEEE Access, 2021)

A Novel Context-Aware Mobile Application Recommendation Approach Based on Users Behavior Trajectories. - Ke Zhu 003; Yingyuan Xiao; Wenguang Zheng; Xu Jiao; Ching-Hsien Hsu (IEEE Access, 2021)

Incorporating contextual information into personalized mobile applications recommendation. - Ke Zhu 003; Yingyuan Xiao; Wenguang Zheng; Xu Jiao; Chenchen Sun; Ching-Hsien Hsu (Soft Comput., 2021)

Hybrid Variational Autoencoder for Collaborative Filtering. - Jinxin Liu; Yingyuan Xiao; Ke Zhu 003; Wenguang Zheng; Ching-Hsien Hsu (CSCWD, 2022)

DFIL: an Efficient Web Service Prediction Method based on Deep Feature Interactive Learning. - Ke Zhu 003; Zhixin Wang; Tao Jiang; Yingyuan Xiao; Wenguang Zheng; Ching-Hsien Hsu (CSCWD, 2022)

MAN: Main-auxiliary network with attentive interactions for review-based recommendation. - Peilin Yang; Yingyuan Xiao; Wenguang Zheng; Xu Jiao; Ke Zhu 003; Chenchen Sun; Li Liu (Appl. Intell., 2023)

A Design Method for an SVM-Based Humidity Sensor for Grain Storage. - Lining Liu; Chengbao Song; Ke Zhu 003; Pingzeng Liu (Sensors, 2024)