Ke Ji

According to our database1, Ke Ji authored at least 19 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Stream-based live public opinion monitoring approach with adaptive probabilistic topic model.
Soft Comput., 2019

Toward an aspect-oriented cache autoloading framework with annotation.
IJWGS, 2019

Abnormal telephone identification via an ensemble-based classification framework.
Proceedings of the ACM Turing Celebration Conference - China, 2019

Context-aware recommendations via a tree-based ensemble framework.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
GIST: A generative model with individual and subgroup-based topics for group recommendation.
Expert Syst. Appl., 2018

POMon: From Simple Keyword Matching to Stream-Based Live Probabilistic Topic Matching.
Proceedings of the 2018 IEEE SmartWorld, 2018

Deep and Broad Learning Based Detection of Android Malware via Network Traffic.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm.
Proceedings of the Intelligent Systems Design and Applications, 2018

2017
Android Malware Clustering Analysis on Network-Level Behavior.
Proceedings of the Intelligent Computing Theories and Application, 2017

Stream-Based Live Probabilistic Topic Computing and Matching.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

Finding Android Malware Trace from Highly Imbalanced Network Traffic.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Improving matrix approximation for recommendation via a clustering-based reconstructive method.
Neurocomputing, 2016

Jointly modeling content, social network and ratings for explainable and cold-start recommendation.
Neurocomputing, 2016

2015
Next-song recommendation with temporal dynamics.
Knowl.-Based Syst., 2015

Addressing cold-start: Scalable recommendation with tags and keywords.
Knowl.-Based Syst., 2015

Making recommendations from top-N user-item subgroups.
Neurocomputing, 2015

2014
Two-Phase Layered Learning Recommendation via Category Structure.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Using Category and Keyword for Personalized Recommendation: A Scalable Collaborative Filtering Algorithm.
Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

2013
Development of a Portable Taste Sensor with a Lipid/Polymer Membrane.
Sensors, 2013


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