Ke Zhu

11 papers C 3Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Design Method for an SVM-Based Humidity Sensor for Grain Storage.
Sensors
Lining Liu, Chengbao Song, Ke Zhu, Pingzeng Liu
2023 J jnl
MAN: Main-auxiliary network with attentive interactions for review-based recommendation.
Appl. Intell.
Peilin Yang, Yingyuan Xiao, Wenguang Zheng, Xu Jiao, Ke Zhu, Chenchen Sun, Li Liu
2022 C conf
DFIL: an Efficient Web Service Prediction Method based on Deep Feature Interactive Learning.
CSCWD
Ke Zhu, Zhixin Wang, Tao Jiang, Yingyuan Xiao, Wenguang Zheng, Ching-Hsien Hsu
2022 C conf
Hybrid Variational Autoencoder for Collaborative Filtering.
CSCWD
Jinxin Liu, Yingyuan Xiao, Ke Zhu, Wenguang Zheng, Ching-Hsien Hsu
2021 J jnl
A Novel Context-Aware Mobile Application Recommendation Approach Based on Users Behavior Trajectories.
IEEE Access
Ke Zhu, Yingyuan Xiao, Wenguang Zheng, Xu Jiao, Ching-Hsien Hsu
2021 — conf
DFILAN: Domain-Based Feature Interactions Learning via Attention Networks for CTR Prediction.
DASFAA (2)
Yongliang Han, Yingyuan Xiao, Hongya Wang, Wenguang Zheng, Ke Zhu
2021 J jnl
Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs.
IEEE Access
Miao Li, Wenguang Zheng, Yingyuan Xiao, Ke Zhu, Wei Huang
2021 J jnl
Incorporating contextual information into personalized mobile applications recommendation.
Soft Comput.
Ke Zhu, Yingyuan Xiao, Wenguang Zheng, Xu Jiao, Chenchen Sun, Ching-Hsien Hsu
2017 — conf
A context-aware recommendation system based on latent factor model.
ICNC-FSKD
Zhenling Zhang, Yingyuan Xiao, Wenxin Zhu, Xu Jiao, Ke Zhu, Huafeng Deng, Yan Shen
2015 — conf
A Personalized News Recommendation System Based on Tag Dependency Graph.
WAIM
Pengqiang Ai, Yingyuan Xiao, Ke Zhu, Hongya Wang, Ching-Hsien Hsu
2015 C conf
Incorporating Contextual Information into a Mobile Advertisement Recommender System.
APWeb
Ke Zhu, Yingyuan Xiao, Pengqiang Ai, Hongya Wang, Ching-Hsien Hsu