Name
Papers
Collaborators
YUTIAN TANG
23
63
Citations 
PageRank 
Referers 
40
8.10
88
Referees 
References 
1147
545
Search Limit
2001147
Title
Citations
PageRank
Year
A Systematical Study on Application Performance Management Libraries for Apps10.342022
Lie to Me: Abusing the Mobile Content Sharing Service for Fun and Profit00.342022
Feature selection and embedding based cross project framework for identifying crashing fault residence00.342021
Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps20.362021
Just-in-time defect prediction for Android apps via imbalanced deep learning model00.342021
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features00.342021
All Your App Links are Belong to Us: Understanding the Threats of Instant Apps based Attacks10.352020
Simplified Deep Forest Model based Just-In-Time Defect Prediction for Android Mobile Apps00.342020
Resource Race Attacks on Android00.342020
Demystifying Diehard Android Apps20.382020
TSTSS: A two-stage training subset selection framework for cross version defect prediction40.362019
Demystifying Application Performance Management Libraries for Android.10.342019
Software defect prediction based on kernel PCA and weighted extreme learning machine.70.402019
Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning50.382019
MVSE: Effort-Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding00.342019
Identifying Crashing Fault Residence Based on Cross Project Model10.342019
A Comparative Study of Android Repackaged Apps Detection Techniques30.382019
LDFR: Learning deep feature representation for software defect prediction.70.382019
Cross version defect prediction with representative data via sparse subset selection.30.362018
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning.20.352018
A Smart Context-Aware Program Assistant Based on Dynamic Programming Event Modeling10.352018
Constructing feature model by identifying variability-aware modules.00.342017
Top-down Feature Mining Framework for Software Product Line.00.342015