Publications

2024

  • An Empirical Study of Cross-Project Pull Request Recommendation in GitHub.
    Wenyu Xu, Yao Lu, Xunhui Zhang, Tanghaoran Zhang, Xinjun Mao and Bo Lin
    31st Asia-Pacific Software Engineering Conference (APSEC 2024), Chongqing, China. 2024. Full paper. CCF-C.
    preprint

  • Think Before Acting: The Necessity of Endowing Robot Terminals With the Ability to Fine-Tune Reinforcement Learning Policies.
    Wenyu Xu, Yao Lu, Xunhui Zhang, Tanghaoran Zhang, Xinjun Mao and Bo Lin
    The 22nd IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2024), Kaifeng, China. 2024. Full paper. CCF-C.
    preprint

2022

  • Teegraph: A Blockchain consensus algorithm based on TEE and DAG for data sharing in IoT.
    Xiang Fu, Huaimin Wang, Peichang Shi, Xunhui Zhang
    Journal of Systems Architecture (JSA), 2022. Impact factor: 4.5. CCF-B.
    pdf

  • 代码克隆相关研究综述.
    张迅晖, 王涛, 余跃, 钟岩, 张晏芝, 王怀民
    软件学报 (JOS), 2022. Impact factor: 1.642. CCF-A (中文).
    preprint

  • Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github’s Sponsor Mechanism.
    Xunhui Zhang, Tao Wang, Yue Yu, Qiubing Zeng, Zhixing Li, Huaimin Wang
    2022 ACM CHI Conference on Human Factors in Computing Systems (CHI 2022), New Orleans, The United States. 2022. Full paper. CCF-A.
    pdf

  • Pull Request Decisions Explained: An Empirical Overview.
    Xunhui Zhang, Yue Yu, Georgios Gousios, Ayushi Rastogi
    IEEE Transactions on Software Engineering, 2022. Impact factor: 6.226. CCF-A.
    pdf

  • Pull Request Latency Explained: An Empirical Overview.
    Xunhui Zhang, Yue Yu, Tao Wang, Ayushi Rastogi, Huaimin Wang
    Empirical Software Engineering, 2022. Impact factor: 3.126. JCR-I.
    pdf

  • Teegraph: trusted execution environment and directed acyclic graph-based consensus algorithm for IoT blockchains.
    Xiang Fu, Huaimin Wang, Peichang Shi, Xingkong Ma, Xunhui Zhang
    Science China Information Sciences, 2022. Impact factor: 4.380.
    pdf

2021

2020

  • On the shoulders of giants: A new dataset for pull-based development research.
    Xunhui Zhang, Ayushi Rastogi, Yue Yu
    The 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, South Korea. 2020. Data Showcase.
    pdf

2019

  • LS4BUCC: A Low Overhead Storage Architecture for Blockchain Based Unmanned Collaborative Cognition System.
    Xunhui Zhang, Huaimin Wang, Peichang Shi, Xiang Fu
    The 10th IEEE International Workshop on Joint Cloud Computing (JCC 2019), San Francisco. 2019. Full paper.
    pdf

  • BBCPS: A Blockchain Based Open Source Contribution Protection System.
    Qiubing Zeng, Xunhui Zhang, Tao Wang, Peichang Shi, Xiang Fu, Chenhui Feng
    2019 International Conference on Blockchain and Trustworthy Systems (BlockSys 2019), Guangzhou, China. 2019. Full paper.
    pdf

  • A Neural-Network based Code Summarization Approach by Using Source Code and its Call Dependencies.
    Bohong Liu, Tao Wang, Xunhui Zhang, Qiang Fan, Gang Yin, Jinsheng Deng
    The 11th Asia-Pacific Symposium on Internetware (Internetware 2019), Fukuoka, Japan. 2019. Full paper.
    pdf

  • RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories.
    Cheng Yang, Qiang Fan, Tao Wang, Gang Yin, Xunhui Zhang, Yue Yu, Huaimin Wang
    Frontiers of Information Technology & Electronic Engineering, 2019. Impact factor: 2.161.
    pdf

2018

  • RevRec: A Two-layer Reviewer Recommendation Algorithm in Pull-based Development Model.
    Cheng Yang, Xunhui Zhang, Lingbin Zeng, Qiang Fan, Tao Wang, Yue Yu, Gang Yin, Huaimin Wang
    Journal of Central South University, 2018. Impact factor: 2.4423.
    pdf

  • Cross-Project Issue Classification based on Ensemble Modeling in a Social Coding World.
    Yarong Zeng, Yue Yu, Qiang Fan, Xunhui Zhang, Huaimin Wang
    The 25th International Conference on Neural Information Processing (ICONIP 2018), Cambodia. 2018. Full paper. CCF-C.
    pdf

  • Software Ranker: A New Comprehensive Software Ranking Approach.
    Yarong Zeng, Yue Yu, Xunhui Zhang, Yaozong Li, Tao Wang, Gang Yin, Huaimin Wang
    The 8th IEEE International Conference on Software Engineering and Service Science (ICSESS 2018), Beijing, China. 2018. Full paper.
    pdf

  • Improving Code Summarization by Combining Deep Learning and Empirical Knowledge.
    Lingbin Zeng, Xunhui Zhang, Tao Wang, Gang Yin, Huaimin Wang
    The 30th International Conference on Software Engineering & Knowledge Engineering (SEKE 2018), California, USA. 2018. Short paper. CCF-C.
    pdf

  • Evaluating Students’ Learning Situations Using “Four-quadrant Law”.
    Jinze Liu, Dongyang Hu, Xunhui Zhang, Tao Wang, Yue Yu, Gang Yin
    The 14th China-Europe International Symposium on Software Engineering Education (CEISEE 2018), Shenzhen, China. 2018. Full paper.
    pdf

  • Analyzing Student Behavior in Online Programming Courses.
    Xinyu You, Bohong Liu, Menghua Cao, Xunhui Zhang, Tao Wang, Yue Yu, Gang Yin
    The 14th China-Europe International Symposium on Software Engineering Education (CEISEE 2018), Shenzhen, China. 2018. Full paper.
    pdf

2017

  • Who Will be Interested in? A Contributor Recommendation Approach for Open Source Projects.
    Xunhui Zhang, Tao Wang, Gang Yin, Cheng Yang, Huaimin Wang
    The 29th International Conference on Software Engineering & Knowledge Engineering (SEKE 2017), Pittsburgh, USA. 2017. Full paper. CCF-C.
    pdf

  • DevRec: A developer recommendation system for open source repositories.
    Xunhui Zhang, Tao Wang, Gang Yin, Cheng Yang, Yue Yu, Huaimin Wang
    The 16th International Conference on Software Reuse (ICSR 2017), Salvador, Brazil. 2017. Short paper. CCF-C.
    pdf

  • An empirical study of reviewer recommendation in pull-based development model.
    Cheng Yang, Xunhui Zhang, Lingbin Zeng, Qiang Fan, Gang Yin, Huaimin Wang
    The 9th Asia-Pacific Symposium on Internetware (Internetware 2017), Shanghai, China. 2017. Full paper.
    pdf

2016

  • A General Conceptual Model of Recommendation Based on Multi-Agent Approach.
    Xunhui Zhang, Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang
    The 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016), Beijing, China. 2016. Full paper.
    pdf

  • A Novel Open Source Software Ecosystem: From a Graphic Point of View and Its Application.
    Chenxi Song, Tao Wang, Gang Yin, Xunhui Zhang, Cheng Yang
    The 28th International Conference on Software Engineering & Knowledge Engineering (SEKE 2016), California, USA. 2016. Short Paper.
    pdf