Self-learning Change-prone Class Prediction. - Meng Yan 001; Mengning Yang; Chao Liu 014; Xiaohong Zhang 002 (SEKE, 2016)

Learning to aggregate: an automated aggregation method for software quality model. - Meng Yan 001; Xiaohong Zhang 002; Chao Liu 014; Jie Zou; Ling Xu; Xin Xia 001 (ICSE (Companion Volume), 2017)

Automated change-prone class prediction on unlabeled dataset using unsupervised method. - Meng Yan 001; Xiaohong Zhang 002; Chao Liu 014; Ling Xu; Mengning Yang; Dan Yang 001 (Inf. Softw. Technol., 2017)

Cross-Project Change-Proneness Prediction. - Chao Liu 014; Dan Yang 001; Xin Xia 001; Meng Yan 001; Xiaohong Zhang 002 (COMPSAC (1), 2018)

A recommender system for developer onboarding. - Chao Liu 014; Dan Yang 001; Xiaohong Zhang 002; Haibo Hu 002; Jed Barson; Baishakhi Ray (ICSE (Companion Volume), 2018)

Deep Metric Learning for Software Change-Proneness Prediction. - Yongxin Ge; Min Chen 016; Chao Liu 014; Feiyi Chen; Sheng Huang 001; Hongxing Wang 001 (IScIDE, 2018)

Recommending GitHub Projects for Developer Onboarding. - Chao Liu 014; Dan Yang 001; Xiaohong Zhang 002; Baishakhi Ray; Md. Masudur Rahman 001 (IEEE Access, 2018)

A two-phase transfer learning model for cross-project defect prediction. - Chao Liu 014; Dan Yang 001; Xin Xia 001; Meng Yan 001; Xiaohong Zhang 002 (Inf. Softw. Technol., 2019)

Improving Code Search with Co-Attentive Representation Learning. - Jianhang Shuai; Ling Xu; Chao Liu 014; Meng Yan 001; Xin Xia 001; Yan Lei (ICPC, 2020)

Simplifying Deep-Learning-Based Model for Code Search. - Chao Liu 014; Xin Xia 001; David Lo 001; Zhiwei Liu; Ahmed E. Hassan; Shanping Li (CoRR, 2020)

On the Replicability and Reproducibility of Deep Learning in Software Engineering. - Chao Liu 014; Cuiyun Gao 001; Xin Xia 001; David Lo 001; John C. Grundy; Xiaohu Yang 001 (CoRR, 2020)

Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. - Ling Xu; Huanhuan Yang; Chao Liu 014; Jianhang Shuai; Meng Yan 001; Yan Lei; Zhou Xu 003 (SANER, 2021)

ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. - Neng Zhang 001; Chao Liu 014; Xin Xia 001; Christoph Treude; Ying Zou 001; David Lo 001; Zibin Zheng (ICSE, 2022)

CodeMatcher: a tool for large-scale code search based on query semantics matching. - Chao Liu 014; Xuanlin Bao; Xin Xia 001; Meng Yan 001; David Lo 001; Ting Zhang 011 (ESEC/SIGSOFT FSE, 2022)

Fine-grained Co-Attentive Representation Learning for Semantic Code Search. - Zhongyang Deng; Ling Xu; Chao Liu 014; Meng Yan 001; Zhou Xu 003; Yan Lei (SANER, 2022)

Opportunities and Challenges in Code Search Tools. - Chao Liu 014; Xin Xia 001; David Lo 001; Cuiyun Gao 001; Xiaohu Yang 001; John C. Grundy (ACM Comput. Surv., 2022)

On the Reproducibility and Replicability of Deep Learning in Software Engineering. - Chao Liu 014; Cuiyun Gao 001; Xin Xia 001; David Lo 001; John C. Grundy; Xiaohu Yang 001 (ACM Trans. Softw. Eng. Methodol., 2022)

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. - Chao Liu 014; Xin Xia 001; David Lo 001; Zhiwei Liu; Ahmed E. Hassan; Shanping Li (ACM Trans. Softw. Eng. Methodol., 2022)

Multi-Dimension Convolutional Neural Network for Bug Localization. - Bei Wang; Ling Xu; Meng Yan 001; Chao Liu 014; Ling Liu 001 (IEEE Trans. Serv. Comput., 2022)

ShellFusion: An Answer Generator for Shell Programming Tasks via Knowledge Fusion. - Zhongqi Chen; Neng Zhang 001; Pengyue Si; Qinde Chen; Chao Liu 014; Zibin Zheng (ICSE Companion, 2023)

Improving ChatGPT Prompt for Code Generation. - Chao Liu 014; Xuanlin Bao; Hongyu Zhang 002; Neng Zhang 001; Haibo Hu 002; Xiaohong Zhang 002; Meng Yan 001 (CoRR, 2023)

VisRepo: A Visual Retrieval Tool for Large-Scale Open-Source Projects. - Xiaoqi Yue; Chao Liu 014; Neng Zhang 001; Haibo Hu 002; Xiaohong Zhang 002 (Internetware, 2024)

CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. - Dong Li 009; Meng Yan 001; Yaosheng Zhang; Zhongxin Liu 002; Chao Liu 014; Xiaohong Zhang 002; Ting Chen 002; David Lo 001 (ISSTA, 2024)

An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions. - Chao Liu 014; Xindong Zhang; Hongyu Zhang 002; Zhiyuan Wan; Zhan Huang; Meng Yan 001 (SIGSOFT FSE Companion, 2024)

Guiding ChatGPT for Better Code Generation: An Empirical Study. - Chao Liu 014; Xuanlin Bao; Hongyu Zhang 002; Neng Zhang 001; Haibo Hu 002; Xiaohong Zhang 002; Meng Yan 001 (SANER, 2024)

Fixing Code Generation Errors for Large Language Models. - Hao Wen; Yueheng Zhu; Chao Liu 014; Xiaoxue Ren; Weiwei Du; Meng Yan 001 (CoRR, 2024)

End-to-end log statement generation at block-level. - Ying Fu; Meng Yan 001; Pinjia He; Chao Liu 014; Xiaohong Zhang 002; Dan Yang 001 (J. Syst. Softw., 2024)

Code semantic enrichment for deep code search. - Zhongyang Deng; Ling Xu; Chao Liu 014; Luwen Huangfu; Meng Yan 001 (J. Syst. Softw., 2024)

Understanding the implementation issues when using deep learning frameworks. - Chao Liu 014; Runfeng Cai; Yiqun Zhou; Xin Chen; Haibo Hu 002; Meng Yan 001 (Inf. Softw. Technol., 2024)

Query-oriented two-stage attention-based model for code search. - Huanhuan Yang; Ling Xu; Chao Liu 014; Luwen Huangfu (J. Syst. Softw., 2024)

AirPollutionViz: visual analytics for understanding the spatio-temporal evolution of air pollution. - Xiaoqi Yue; Dan Feng; Desheng Sun; Chao Liu 014; Hongxing Qin; Haibo Hu 002 (J. Vis., 2024)

SFLVis: visual analysis of software fault localization. - Desheng Sun; Xiaoqi Yue; Chao Liu 014; Hongxing Qin; Haibo Hu 002 (J. Vis., 2024)

CoSEFA: An LLM-Based Programming Assistant for Secure Code Generation via Supervised Co-Decoding. - Xuan He; Dong Li 009; Hao Wen; Yueheng Zhu; Chao Liu 014; Meng Yan 001; Hongyu Zhang 002 (SIGSOFT FSE Companion, 2025)

An empirical study of ChatGPT-related projects and their issues on GitHub. - Zheng Lin; Neng Zhang 001; Chao Liu 014; Zibin Zheng (Expert Syst. Appl., 2025)

GNPSum: A code summarization enhancement framework based on Graph Node Position. - Haogang Cheng; Ling Xu; Luwen Huangfu; Chao Liu 014; Meng Yan 001; Yan Lei (Inf. Softw. Technol., 2025)

Zero-Shot Cross-Domain Code Search without Fine-Tuning. - Keyu Liang; Zhongxin Liu 002; Chao Liu 014; Zhiyuan Wan; David Lo 001; Xiaohu Yang 001 (Proc. ACM Softw. Eng., 2025)

AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation. - Yueheng Zhu; Chao Liu 014; Xuan He; Xiaoxue Ren; Zhongxin Liu 002; Ruwei Pan; Hongyu Zhang 002 (CoRR, 2025)

DeepVec: State-Vector Aware Test Case Selection for Enhancing Recurrent Neural Network. - Zhonghao Jiang; Meng Yan 001; Li Huang; Weifeng Sun; Chao Liu 014; Song Sun; David Lo 001 (IEEE Trans. Software Eng., 2025)