Chao Liu

Orcid: 0000-0002-8283-9146

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China
  • Chongqing University, School of Big Data & Software Engineering, MOE Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China


According to our database1, Chao Liu authored at least 24 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Query-oriented two-stage attention-based model for code search.
J. Syst. Softw., April, 2024

Understanding the implementation issues when using deep learning frameworks.
Inf. Softw. Technol., February, 2024

Code semantic enrichment for deep code search.
J. Syst. Softw., January, 2024

2023
Improving ChatGPT Prompt for Code Generation.
CoRR, 2023

ShellFusion: An Answer Generator for Shell Programming Tasks via Knowledge Fusion.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
Multi-Dimension Convolutional Neural Network for Bug Localization.
IEEE Trans. Serv. Comput., 2022

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words.
ACM Trans. Softw. Eng. Methodol., 2022

On the Reproducibility and Replicability of Deep Learning in Software Engineering.
ACM Trans. Softw. Eng. Methodol., 2022

Opportunities and Challenges in Code Search Tools.
ACM Comput. Surv., 2022

Fine-grained Co-Attentive Representation Learning for Semantic Code Search.
Proceedings of the IEEE International Conference on Software Analysis, 2022

CodeMatcher: a tool for large-scale code search based on query semantics matching.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Two-Stage Attention-Based Model for Code Search with Textual and Structural Features.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

2020
On the Replicability and Reproducibility of Deep Learning in Software Engineering.
CoRR, 2020

Simplifying Deep-Learning-Based Model for Code Search.
CoRR, 2020

Improving Code Search with Co-Attentive Representation Learning.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

2019
A two-phase transfer learning model for cross-project defect prediction.
Inf. Softw. Technol., 2019

2018
Recommending GitHub Projects for Developer Onboarding.
IEEE Access, 2018

Deep Metric Learning for Software Change-Proneness Prediction.
Proceedings of the Intelligence Science and Big Data Engineering, 2018

A recommender system for developer onboarding.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Cross-Project Change-Proneness Prediction.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Automated change-prone class prediction on unlabeled dataset using unsupervised method.
Inf. Softw. Technol., 2017

Learning to aggregate: an automated aggregation method for software quality model.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Self-learning Change-prone Class Prediction.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016


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