Name
Affiliation
Papers
YIPING WEN
Hunan Univ Sci & Technol, Xiangtan, Peoples R China
24
Collaborators
Citations 
PageRank 
48
25
8.59
Referers 
Referees 
References 
111
440
149
Search Limit
100440
Title
Citations
PageRank
Year
Heterogeneous Graph Attention Network-Enhanced Web Service Classification00.342021
A Hybrid Data-Driven Approach for Predicting Remaining Useful Life of Industrial Equipment.00.342020
Spatial-Temporal Data-driven Service Recommendation with Privacy-preservation70.452020
Improving the novelty of retail commodity recommendations using multiarmed bandit and gradient boosting decision tree00.342020
A Topic Attention Mechanism And Factorization Machines Based Mobile Application Recommendation Method00.342020
CPU usage prediction for cloud resource provisioning based on deep belief network and particle swarm optimization00.342020
Collaborative filtering and association rule mining‐based market basket recommendation on spark10.362020
An Extensible Toolkit for Resource Usage Prediction in Clouds00.342019
Web Services Classification with Topical Attention Based Bi-LSTM.30.432019
Learning Resource Recommendation Based on Generalized Matrix Factorization and Long Short-Term Memory Model00.342019
Prediction of Learners' Academic Performance Using Factorization Machine and Decision Tree00.342019
A Web Services Classification Method Based on GCN.00.342019
QoS-aware service recommendation based on relational topic model and factorization machines for IoT Mashup applications80.482019
Energy and cost aware scheduling with batch processing for instance-intensive IoT workflows in clouds40.392019
Service Recommendation Based on Attentional Factorization Machine00.342019
Personalized Commodity Recommendations of Retail Business Using User Feature Based Collaborative Filtering10.372018
A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering00.342018
Web Service Discovery Based on Information Gain Theory and BiLSTM with Attention Mechanism.00.342018
Integrating Collaborative Filtering and Association Rule Mining for Market Basket Recommendation.00.342018
A Resource Usage Prediction-Based Energy-Aware Scheduling Algorithm for Instance-Intensive Cloud Workflows.00.342018
Towards Energy-Efficient Scheduling with Batch Processing for Instance-Intensive Cloud Workflows00.342018
The Expert System of Locomotive Running Gear Based on Sematic Network00.342016
User: A Usage-Based Service Recommendation Approach10.382016
A Context-Aware Service Selection Approach Based on Historical Records.00.342015