Yutian Tang

According to our database1, Yutian Tang authored at least 30 papers between 2012 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A Systematical Study on Application Performance Management Libraries for Apps.
IEEE Trans. Software Eng., 2022

Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation.
CoRR, 2022

Lie to Me: Abusing the Mobile Content Sharing Service for Fun and Profit.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
Object-Level Remote Sensing Image Augmentation Using U-Net-Based Generative Adversarial Networks.
Wirel. Commun. Mob. Comput., 2021

Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps.
IEEE Trans. Reliab., 2021

Feature selection and embedding based cross project framework for identifying crashing fault residence.
Inf. Softw. Technol., 2021

Towards Black-box Attacks on Deep Learning Apps.
CoRR, 2021

AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features.
Appl. Soft Comput., 2021

Just-in-time defect prediction for Android apps via imbalanced deep learning model.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

BRNN-GAN: Generative Adversarial Networks with Bi-directional Recurrent Neural Networks for Multivariate Time Series Imputation.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020
Feature Location Benchmark for Decomposing and Reusing Android Apps.
CoRR, 2020

Resource Race Attacks on Android.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

All your app links are belong to us: understanding the threats of instant apps based attacks.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Simplified Deep Forest Model based Just-In-Time Defect Prediction for Android Mobile Apps.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Demystifying Diehard Android Apps.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
LDFR: Learning deep feature representation for software defect prediction.
J. Syst. Softw., 2019

TSTSS: A two-stage training subset selection framework for cross version defect prediction.
J. Syst. Softw., 2019

Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning.
J. Comput. Sci. Technol., 2019

Software defect prediction based on kernel PCA and weighted extreme learning machine.
Inf. Softw. Technol., 2019

A Comparative Study of Android Repackaged Apps Detection Techniques.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

MVSE: Effort-Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Demystifying Application Performance Management Libraries for Android.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Identifying Crashing Fault Residence Based on Cross Project Model.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

2018
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning.
IEEE Access, 2018

Cross version defect prediction with representative data via sparse subset selection.
Proceedings of the 26th Conference on Program Comprehension, 2018

A Smart Context-Aware Program Assistant Based on Dynamic Programming Event Modeling.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

2017
StiCProb: A novel feature mining approach using conditional probability.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

Constructing feature model by identifying variability-aware modules.
Proceedings of the 25th International Conference on Program Comprehension, 2017

2015
Top-down Feature Mining Framework for Software Product Line.
Proceedings of the ICEIS 2015, 2015

2012
Link Prediction Based on Weighted Networks.
Proceedings of the AsiaSim 2012, 2012


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