Bingwei Liu

According to our database1, Bingwei Liu authored at least 14 papers between 2000 and 2018.

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



In proceedings 
PhD thesis 




A scalable purchase intention prediction system using extreme gradient boosting machines with browsing content entropy.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

A Container-Based Elastic Cloud Architecture for Pseudo Real-Time Exploitation of Wide Area Motion Imagery (WAMI) Stream.
J. Signal Process. Syst., 2017

Quorum Sensing in Populations of Spatially Extended Chaotic Oscillators Coupled Indirectly via a Heterogeneous Environment.
J. Nonlinear Sci., 2017

Quantitative workload analysis and prediction using Google cluster traces.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Auditing for Data Integrity and Reliability in Cloud Storage.
Proceedings of the Handbook on Data Centers, 2015

Pseudo-real-time Wide Area Motion Imagery (WAMI) processing for dynamic feature detection.
Proceedings of the 18th International Conference on Information Fusion, 2015

A cloud infrastructure for target detection and tracking using audio and video fusion.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Enabling Smart Personalized Healthcare: A Hybrid Mobile-Cloud Approach for ECG Telemonitoring.
IEEE J. Biomed. Health Informatics, 2014

Cloud security auditing based on behavioural modelling.
Int. J. Bus. Process. Integr. Manag., 2014

A container-based elastic cloud architecture for real-time full-motion video (FMV) target tracking.
Proceedings of the 2014 IEEE Applied Imagery Pattern Recognition Workshop, 2014

Cloud Security Auditing Based on Behavioral Modeling.
Proceedings of the IEEE Ninth World Congress on Services, 2013

Finding Needles in a Haystack: Reducing False Alarm Rate Using Telemedicine Mobile Cloud.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

FDU at TREC-9: CLIR, Filtering and QA Tasks.
Proceedings of The Ninth Text REtrieval Conference, 2000