Yutian Tang
Yutian Tang
Other namesYutian "Chris" Tang
University of Glasgow, United Kingdom
Verified email at - Homepage
Cited by
Cited by
Software defect prediction based on kernel PCA and weighted extreme learning machine
Z Xu, J Liu, X Luo, Z Yang, Y Zhang, P Yuan, Y Tang, T Zhang
Information and Software Technology 106, 182-200, 2019
Cross project defect prediction via balanced distribution adaptation based transfer learning
Z Xu, S Pang, T Zhang, XP Luo, J Liu, YT Tang, X Yu, L Xue
Journal of Computer Science and Technology 34, 1039-1062, 2019
LDFR: Learning deep feature representation for software defect prediction
Z Xu, S Li, J Xu, J Liu, X Luo, Y Zhang, T Zhang, J Keung, Y Tang
Journal of Systems and Software 158, 110402, 2019
Cross version defect prediction with representative data via sparse subset selection
Z Xu, S Li, Y Tang, X Luo, T Zhang, J Liu, J Xu
Proceedings of the 26th Conference on program comprehension, 132-143, 2018
TSTSS: A two-stage training subset selection framework for cross version defect prediction
Z Xu, S Li, X Luo, J Liu, T Zhang, Y Tang, J Xu, P Yuan, J Keung
Journal of Systems and Software 154, 59-78, 2019
HDA: Cross-project defect prediction via heterogeneous domain adaptation with dictionary learning
Z Xu, P Yuan, T Zhang, Y Tang, S Li, Z Xia
IEEE access 6, 57597-57613, 2018
Simplified Deep Forest Model based Just-In-Time Defect Prediction for Android Mobile Apps
K Zhao, Z Xu, T Zhang, Y Tang
IEEE Transactions on Reliability, 2021
No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
Z Liu, Y Tang, X Luo, Y Zhou, LF Zhang
IEEE Transactions on Software Engineering, 2024
ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation
Y Tang, Z Liu, Z Zhou, X Luo
IEEE Transactions on Software Engineering, 2023
All Your App Links are Belong to Us: Understanding the Threats of Instant Apps based Attacks
Y Tang, Y Sui, H Wang, X Luo, H Zhou, Z Xu
ACM Joint European Software Engineering Conference and Symposium on the …, 2020
Just-in-Time Defect Prediction for Android Apps via Imbalanced Deep Learning Model
K Zhao, Z Xu, M Yan, Y Tang, M Fan, G Catolino
The 36th ACM/SIGAPP Symposium On Applied Computing, 2021
Feature selection and embedding based cross project framework for identifying crashing fault residence
Z Xu, T Zhang, J Keung, M Yan, X Luo, X Zhang, L Xu, Y Tang
Information and Software Technology 131, 106452, 2021
Demystifying Diehard Android Apps
H Zhou, H Wang, Y Zhou, L Xiapu, Y Tang, X Lei, T Wang
ASE--35th IEEE/ACM International Conference on Automated Software Engineering, 2020
A comparative study of android repackaged apps detection techniques
X Zhan, T Zhang, Y Tang
2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features
Z Yang, J Keung, MA Kabir, X Yu, Y Tang, M Zhang, S Feng
Applied Soft Computing 111, 107649, 2021
XDebloat: Towards Automated Feature-Oriented App Debloating
Y Tang, H Zhou, X Luo, T Chen, H Wang, Z Xu, Y Cai
IEEE Transactions on Software Engineering (TSE), 1-19, 2021
MVSE: Effort- Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding
Z Xu, S Ye, T Zhang, Z Xia, S Pang, Y Wang, YT Tang
19th International Conference on Software Quality, Reliability, and Security, 2019
BRNN-GAN: Generative Adversarial Networks with Bi-directional Recurrent Neural Networks for Multivariate Time Series Imputation
Z Wu, C Ma, X Shi, L Wu, D Zhang, Y Tang
IEEE International Conference on Parallel and Distributed Systems, 2021
Demystifying Application Performance Management Libraries for Android
Y Tang, X Zhan, H Zhou, X Luo, Z Xu, Y Zhou, Q Yan
ASE-The 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
Link prediction based on weighted networks
Z Yang, D Fu, Y Tang, Y Zhang, Y Hao, C Gui, X Ji, X Yue
AsiaSim 2012: Asia Simulation Conference 2012, Shanghai, China, October 27 …, 2012
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