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Chao Liu
Chao Liu
Associate Professor, Chongqing University, China
Verified email at cqu.edu.cn
Title
Cited by
Cited by
Year
A two-phase transfer learning model for cross-project defect prediction
C Liu, D Yang, X Xia, M Yan, X Zhang
Information and Software Technology 107, 125-136, 2019
1252019
Improving code search with co-attentive representation learning
J Shuai, L Xu, C Liu, M Yan, X Xia, Y Lei
Proceedings of the 28th International Conference on Program Comprehension …, 2020
1022020
Opportunities and challenges in code search tools
C Liu, X Xia, D Lo, C Gao, X Yang, J Grundy
ACM Computing Surveys (CSUR) 54 (9), 1-40, 2021
672021
Two-stage attention-based model for code search with textual and structural features
L Xu, H Yang, C Liu, J Shuai, M Yan, Y Lei, Z Xu
2021 IEEE International Conference on Software Analysis, Evolution and …, 2021
482021
Recommending github projects for developer onboarding
C Liu, D Yang, X Zhang, B Ray, MM Rahman
IEEE Access 6, 52082-52094, 2018
402018
Improving chatgpt prompt for code generation
C Liu, X Bao, H Zhang, N Zhang, H Hu, X Zhang, M Yan
arXiv preprint arXiv:2305.08360, 2023
382023
Automated change-prone class prediction on unlabeled dataset using unsupervised method
M Yan, X Zhang, C Liu, L Xu, M Yang, D Yang
Information and Software Technology 92, 1-16, 2017
222017
Codematcher: Searching code based on sequential semantics of important query words
C Liu, X Xia, D Lo, Z Liu, AE Hassan, S Li
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-37, 2021
212021
Multi-dimension convolutional neural network for bug localization
B Wang, L Xu, M Yan, C Liu, L Liu
IEEE Transactions on Services Computing 15 (3), 1649-1663, 2020
212020
Cross-project change-proneness prediction
C Liu, D Yang, X Xia, M Yan, X Zhang
2018 IEEE 42nd annual computer software and applications conference (COMPSAC …, 2018
202018
Simplifying deep-learning-based model for code search
C Liu, X Xia, D Lo, Z Liu, AE Hassan, S Li
arXiv preprint arXiv:2005.14373, 2020
132020
Deep metric learning for software change-proneness prediction
Y Ge, M Chen, C Liu, F Chen, S Huang, H Wang
Intelligence Science and Big Data Engineering: 8th International Conference …, 2018
92018
Fine-grained co-attentive representation learning for semantic code search
Z Deng, L Xu, C Liu, M Yan, Z Xu, Y Lei
2022 IEEE International Conference on Software Analysis, Evolution and …, 2022
72022
A recommender system for developer onboarding
C Liu, D Yang, X Zhang, H Hu, J Barson, B Ray
Proceedings of the 40th International Conference on Software Engineering …, 2018
72018
Self-learning Change-prone Class Prediction.
M Yan, M Yang, C Liu, X Zhang
SEKE, 134-140, 2016
62016
Shellfusion: Answer generation for shell programming tasks via knowledge fusion
N Zhang, C Liu, X Xia, C Treude, Y Zou, D Lo, Z Zheng
Proceedings of the 44th International Conference on Software Engineering …, 2022
52022
Learning to aggregate: an automated aggregation method for software quality model
M Yan, X Zhang, C Liu, J Zou, L Xu, X Xia
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
52017
Non-gaussian lagrangian stochastic model for wind field simulation in the surface layer
C Liu, L Fu, D Yang, DR Miller, J Wang
Advances in Atmospheric Sciences 37, 90-104, 2020
22020
Code semantic enrichment for deep code search
Z Deng, L Xu, C Liu, L Huangfu, M Yan
Journal of Systems and Software 207, 111856, 2024
12024
Understanding the implementation issues when using deep learning frameworks
C Liu, R Cai, Y Zhou, X Chen, H Hu, M Yan
Information and Software Technology 166, 107367, 2024
2024
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