2024. Chao Liu, Xindong Zhang, Hongyu Zhang, Zhiyuan Wan, Zhan Huang, Meng Yan. An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions. FSE (CCF-A).
2024. Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo. CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-Decoding. ISSTA (CCF-A).
2024. Xiaoqi Yue, Chao Liu, Neng Zhang, Haibo Hu, Xiaohong Zhang. VisRepo: A Visual Retrieval Tool for Large-Scale Open-Source Projects. InternetWare (CCF-C).
2024. Ying Fu, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang. End-to-end log statement generation at block-level. JSS (CCF-B).
2024. Desheng Sun, Xiaoqi Yue, Chao Liu, Hongxing Qin, Haibo Hu. SFLVis: visual analysis of software fault localization. Journal of Visualization.
2024. Huanhuan Yang, Ling Xu, Chao Liu, Luwen Huangfu. Query-oriented two-stage attention-based model for code search. JSS (CCF-B).
2024. Xiaoqi Yue, Dan Feng, Desheng Sun, Chao Liu, Hongxing Qin, Haibo Hu. AirPollutionViz: visual analytics for understanding the spatio-temporal evolution of air pollution. Journal of Visualization.
2024. Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan. Guiding ChatGPT for Better Code Generation: An Empirical Study. IST (CCF-B) .
2024. Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan. Understanding the implementation issues when using deep learning frameworks. IST (CCF-B).
2024. Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan. Code semantic enrichment for deep code search. JSS (CCF-B).
2023. Zhongqi Chen, Neng Zhang, Pengyue Si, Qinde Chen, Chao Liu, Zibin Zheng. ShellFusion: An Answer Generator for Shell Programming Tasks via Knowledge Fusion. ICSE (CCF-A). Tool Demo.
2022. Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang. CodeMatcher: A Tool for Large-Scale Code Search Based on Query Semantics Matching. FSE (CCF-A). Tool Demo.
2022. Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng. ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. ICSE (CCF-A).
2022. Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei. Fine-Grained Co-Attentive Representation Learning for Semantic Code Search. SANER (CCF-B).
2021. Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John Grundy. Opportunities and Challenges in Code Search Tools. CSUR (SCI-1).
2021. Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E Hassan, Shanping Li. CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. TOSEM (CCF-A). Invited to ICSE'2022 (CCF-A).
2021. Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, Xiaohu Yang. On the Reproducibility and Replicability of Deep Learning in Software Engineering. TOSEM (CCF-A).
2021. Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei and Zhou Xu. Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. SANER (CCF-B).
2020. Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei. Improving Code Search with Co-Attentive Representation Learning. ICPC (CCF-B).
2020. Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu. Multi-Dimension Convolutional Neural Network for Bug Localization. TSC (CCF-B).
2020. Chao Liu, Li Fu, Dan Yang, David R Miller, Junming Wang. Non-Gaussian Lagrangian Stochastic Model for Wind Field Simulation in the Surface Layer. AAS (SCI-2).
2019. Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang. A Two-Phase Transfer Learning Model for Cross-Project Defect Prediction. IST (CCF-B).
2018. Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang. Cross-Project Change-Proneness Prediction. COMPSAC (CCF-C).
2018. Yongxin Ge, Min Chen, Chao Liu*, Feiyi Chen, Sheng Huang, Hongxing Wang. Deep Metric Learning for software Change-Proneness Prediction. IScIDE (EI).
2018. Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray. A Recommender System for Developer Onboarding. ICSE (CCF-A), Poster Track.
2018. Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, Md Masudur Rahman. Recommending GitHub Projects for Developer Onboarding. Access (SCI-2).
2017. Meng Yan, Xiaohong Zhang, Chao Liu, Ling Xu, Mengning Yang, Dan Yang. Automated Change-Prone Class Prediction on Unlabeled Dataset Using Unsupervised Method. IST (CCF-B).
2017. Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia. Learning to Aggregate: An Automated Aggregation Method for Software Quality Model. ICSE (CCF-A). Poster Track.
2016. Meng Yan, Mengning Yang, Chao Liu, Xiaohong Zhang. Self-Learning Change-Prone Class Prediction. SEKE (CCF-C).