Chao Liu

According to our database, Chao Liu authored at least 31 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SFLVis: visual analysis of software fault localization.

Desheng Sun, Xiaoqi Yue, Chao Liu, Hongxing Qin, Haibo Hu

J. Vis., August, 2024

AirPollutionViz: visual analytics for understanding the spatio-temporal evolution of air pollution.

Xiaoqi Yue, Dan Feng, Desheng Sun, Chao Liu, Hongxing Qin, Haibo Hu

J. Vis., April, 2024

Query-oriented two-stage attention-based model for code search.

Huanhuan Yang, Ling Xu, Chao Liu, Luwen Huangfu

J. Syst. Softw., April, 2024

Understanding the implementation issues when using deep learning frameworks.

Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan

Inf. Softw. Technol., February, 2024

Code semantic enrichment for deep code search.

Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan

J. Syst. Softw., January, 2024

End-to-end log statement generation at block-level.

Ying Fu, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang

J. Syst. Softw., 2024

Guiding ChatGPT for Better Code Generation: An Empirical Study.

Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan

Proceedings of the IEEE International Conference on Software Analysis, 2024

An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions.

Chao Liu, Xindong Zhang, Hongyu Zhang, Zhiyuan Wan, Zhan Huang, Meng Yan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding.

Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

VisRepo: A Visual Retrieval Tool for Large-Scale Open-Source Projects.

Xiaoqi Yue, Chao Liu, Neng Zhang, Haibo Hu, Xiaohong Zhang

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

2023

Improving ChatGPT Prompt for Code Generation.

Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan

CoRR, 2023

ShellFusion: An Answer Generator for Shell Programming Tasks via Knowledge Fusion.

Zhongqi Chen, Neng Zhang, Pengyue Si, Qinde Chen, Chao Liu, Zibin Zheng

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.

Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu

IEEE Trans. Serv. Comput., 2022

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words.

Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li

ACM Trans. Softw. Eng. Methodol., 2022

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

Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang

ACM Trans. Softw. Eng. Methodol., 2022

Opportunities and Challenges in Code Search Tools.

Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy

ACM Comput. Surv., 2022

Fine-grained Co-Attentive Representation Learning for Semantic Code Search.

Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei

Proceedings of the IEEE International Conference on Software Analysis, 2022

CodeMatcher: a tool for large-scale code search based on query semantics matching.

Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang

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.

Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng

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.

Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, Zhou Xu

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

2020

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

Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang

CoRR, 2020

Simplifying Deep-Learning-Based Model for Code Search.

Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li

CoRR, 2020

Improving Code Search with Co-Attentive Representation Learning.

Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

2019

A two-phase transfer learning model for cross-project defect prediction.

Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang

Inf. Softw. Technol., 2019

2018

Recommending GitHub Projects for Developer Onboarding.

Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, Md. Masudur Rahman

IEEE Access, 2018

Deep Metric Learning for Software Change-Proneness Prediction.

Yongxin Ge, Min Chen, Chao Liu, Feiyi Chen, Sheng Huang, Hongxing Wang

Proceedings of the Intelligence Science and Big Data Engineering, 2018

A recommender system for developer onboarding.

Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Cross-Project Change-Proneness Prediction.

Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang

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.

Meng Yan, Xiaohong Zhang, Chao Liu, Ling Xu, Mengning Yang, Dan Yang

Inf. Softw. Technol., 2017

Learning to aggregate: an automated aggregation method for software quality model.

Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

Self-learning Change-prone Class Prediction.

Meng Yan, Mengning Yang, Chao Liu, Xiaohong Zhang

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016