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2020 – today
- 2022
[j3]Yanhui Li
, Weijun Shen, Tengchao Wu, Lin Chen, Di Wu, Yuming Zhou, Baowen Xu:
How higher order mutant testing performs for deep learning models: A fine-grained evaluation of test effectiveness and efficiency improved from second-order mutant-classification tuples. Inf. Softw. Technol. 150: 106954 (2022)- 2021
- [j2]Weijun Shen, Yanhui Li, Yuanlei Han, Lin Chen, Di Wu, Yuming Zhou, Baowen Xu:
Boundary sampling to boost mutation testing for deep learning models. Inf. Softw. Technol. 130: 106413 (2021) - 2020
- [c3]Weijun Shen, Yanhui Li, Lin Chen, Yuanlei Han, Yuming Zhou, Baowen Xu:
Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining. ASE 2020: 410-422
2010 – 2019
- 2019
- [c2]Xie Wang, Huaijin Wang, Zhendong Su, Enyi Tang, Xin Chen, Weijun Shen, Zhenyu Chen, Linzhang Wang, Xianpei Zhang, Xuandong Li:
Global optimization of numerical programs via prioritized stochastic algebraic transformations. ICSE 2019: 1131-1141 - 2018
- [j1]Zuowu Ding, Weijun Shen, Huachang Xue, Min Qu, Tengfei Hao, Tianyi Huang:
Designing on a high power electric vehicle controller semiconductor cooling and water cooling system. J. Comput. Methods Sci. Eng. 18(4): 887-896 (2018) - [c1]Weijun Shen, Jun Wan, Zhenyu Chen:
MuNN: Mutation Analysis of Neural Networks. QRS Companion 2018: 108-115
Coauthor Index
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