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ORCIDKe Zhu 0003
Person information
- affiliation: Tianjin University of Technology, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, China
Other persons with the same name
- Ke Zhu — disambiguation page
- Ke Zhu 0001 — University of New South Wales, Sydney, Australia
- Ke Zhu 0002 — Technical University Munich, Germany
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Journal Articles
- 2024
[j5]Lining Liu, Chengbao Song, Ke Zhu, Pingzeng Liu:
A Design Method for an SVM-Based Humidity Sensor for Grain Storage. Sensors 24(9): 2854 (2024)- 2023
- [j4]Peilin Yang, Yingyuan Xiao
, Wenguang Zheng, Xu Jiao, Ke Zhu, Chenchen Sun, Li Liu:
MAN: Main-auxiliary network with attentive interactions for review-based recommendation. Appl. Intell. 53(10): 12955-12970 (2023) - 2021
- [j3]Ke Zhu, Yingyuan Xiao, Wenguang Zheng, Xu Jiao, Ching-Hsien Hsu:
A Novel Context-Aware Mobile Application Recommendation Approach Based on Users Behavior Trajectories. IEEE Access 9: 1362-1375 (2021) - [j2]Miao Li, Wenguang Zheng, Yingyuan Xiao, Ke Zhu, Wei Huang:
Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs. IEEE Access 9: 35997-36007 (2021) - [j1]Ke Zhu, Yingyuan Xiao, Wenguang Zheng, Xu Jiao, Chenchen Sun, Ching-Hsien Hsu:
Incorporating contextual information into personalized mobile applications recommendation. Soft Comput. 25(16): 10629-10645 (2021)
Conference and Workshop Papers
- 2022
- [c6]Ke Zhu, Zhixin Wang, Tao Jiang, Yingyuan Xiao, Wenguang Zheng, Ching-Hsien Hsu:
DFIL: an Efficient Web Service Prediction Method based on Deep Feature Interactive Learning. CSCWD 2022: 164-169 - [c5]Jinxin Liu, Yingyuan Xiao, Ke Zhu, Wenguang Zheng, Ching-Hsien Hsu:
Hybrid Variational Autoencoder for Collaborative Filtering. CSCWD 2022: 251-256 - 2021
- [c4]Yongliang Han, Yingyuan Xiao, Hongya Wang, Wenguang Zheng, Ke Zhu:
DFILAN: Domain-Based Feature Interactions Learning via Attention Networks for CTR Prediction. DASFAA (2) 2021: 500-515 - 2017
- [c3]Zhenling Zhang, Yingyuan Xiao, Wenxin Zhu, Xu Jiao, Ke Zhu, Huafeng Deng, Yan Shen:
A context-aware recommendation system based on latent factor model. ICNC-FSKD 2017: 1-6 - 2015
- [c2]Ke Zhu, Yingyuan Xiao, Pengqiang Ai, Hongya Wang, Ching-Hsien Hsu:
Incorporating Contextual Information into a Mobile Advertisement Recommender System. APWeb 2015: 879-882 - [c1]Pengqiang Ai, Yingyuan Xiao, Ke Zhu, Hongya Wang, Ching-Hsien Hsu:
A Personalized News Recommendation System Based on Tag Dependency Graph. WAIM 2015: 584-586
Coauthor Index
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