Qianqian Zhu

According to our database1, Qianqian Zhu authored at least 17 papers between 2010 and 2018.

Collaborative distances :



In proceedings 
PhD thesis 


On csauthors.net:


Mutation Testing for Physical Computing.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

An Investigation of Compression Techniques to Speed up Mutation Testing.
Proceedings of the 11th IEEE International Conference on Software Testing, 2018

Vehicle collision risk estimation based on RGB-D camera for urban road.
Multimedia Syst., 2017

Speeding-Up Mutation Testing via Data Compression and State Infection.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Speeding-up mutation testing via data compression and state infection.
PeerJ PrePrints, 2016

A systematic literature review of how mutation testing supports test activities.
PeerJ PrePrints, 2016

Camera location for real-time traffic state estimation in urban road network using big GPS data.
Neurocomputing, 2015

Estimation for mixed exponential distributions under type-II progressively hybrid censored samples.
Computational Statistics & Data Analysis, 2015

Systematic assessment of imputation performance using the 1000 Genomes reference panels.
Briefings in Bioinformatics, 2015

Weakly Supervised Random Forest for Multi-Label Image Clustering and Segmentation.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution.
Communications in Statistics - Simulation and Computation, 2014

Fusing heterogeneous traffic data by Kalman filters and Gaussian mixture models.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Feasibility study of urban road traffic state estimation based on taxi GPS data.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Mining related information of traffic flows on lanes by k-medoids.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Leveraging Prior Information to Detect Causal Variants via Multi-Variant Regression.
PLoS Computational Biology, 2013

A wholly defined Agilent microarray spike-in dataset.
Bioinformatics, 2011

Preferred analysis methods for Affymetrix GeneChips. II. An expanded, balanced, wholly-defined spike-in dataset.
BMC Bioinformatics, 2010