Welcome to Qiuyuan Chen’s Homepage

About Me

我（陈秋远）就职于腾讯公司并担任研究员。我是浙江大学计算机科学与技术学院2017级博士，于2022年获得博士学位。很荣幸我在科研道路上获得了李善平教授和夏鑫博士的指导。我的研究领域包括智能化软件工程与软件数据挖掘等，研究的主要对象是代码文档。在软件工程中，代码文档是帮助开发者理解程序的重要载体。他的研究致力于智能化的程序理解，达到自动化的文档生成，从而帮助提升软件统的开发效率与可维护性。陈秋远在攻读博士学位期间完成了多篇学术论文，并发表于国内外期刊和会议，包括软件工程顶级会议ICSE（International Conference on Software Engineering），顶级期刊 TOSEM（ACM Transactions on Software Engineering and Methodologys）、软件学报等。

I (Qiuyuan Chen) am currently employed as a researcher at Tencent, with a background in Computer Science and Technology from the School of Computer Science and Technology at Zhejiang University, where I enrolled in the doctoral program in 2017 and obtained my Ph.D. degree in 2022. I am very fortunate to work under the supervision of Prof. Shanping Li and Dr. Xin Xia.My research interests include intelligent software engineering and ming software data, etc. The research focus is code documentation, which is essential to help developers understand the program in software engineering. My research is dedicated to intelligent program comprehension and automatic document generation, thereby helping to improve the development efficiency and maintainability of the software system. During my PhD study, I finished several academic papers, which are published in Chinese and international journals and conferences, including the top conference ICSE (International Conference on Software Engineering), the top journal TOSEM (ACM Transactions on Software Engineering and Methodologys) and JOS (the Journal of Software), etc.

Google Scholar

此链接指向我的谷歌学术主页

Direct link to Google scholar page

Working Experience

2023年1月-至今，在腾讯公司TEG事业群Code中心，担任研究员。

2021年1月-2021年11月，在腾讯公司TEG事业群Code中心，担任实习生。

2017年4月-2018年12月，在恒天软件有限公司，担任实习生。

2016年2月-2016年8月，在华西证券公司，担任实习生。

Education Experience

2017年9月-2022年12月，直接攻博（直博）于浙江大学计算机科学与技术学院，获得博士学位

2013年9月-2017年6月，本科就读于电子科技大学信息于软件工程学院，获得学士学位

2010年9月-2013年6月，高中就读于四川省成都市第七中学

Research Interest

AI for Software Engineering, Program Comprehension, Documentation Generation for SE.

Publication

2022

[conference 8] Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li. “Code Reviewer Recommendation in Tencent: Practice, Challenge and Direction”. In The 44th ACM/IEEE International Conference on Software Engineering (ICSE-SEIP 2022). (CCF Rank A) Conference Accepted. [PDF] [SLIDES] [DOI]

[conference 7] Dezhen Kong, Qiuyuan Chen, Chenxing Sun, Xin Xia, Shanping Li. 2022. ‘Recommending Code Reviewers for Proprietary Software Projects: A Large Scale Study’[C]. in 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). (CCF Rank B) Conference Accepted. [PDF] [-DOI-]

[conference 6] Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann. 2022. “Practitioners’ Expectations on Automated Code Comment Generation”[C]. in 44th ACM/IEEE International Conference on Software Engineering (ICSE). (CCF Rank A) Conference Accepted. [PDF] [-DOI-]

[journal 4] Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann. 2022. ‘Correlating Automated and Human Evaluation of Code Documentation Generation Quality’[J]. ACM Transactions on Software Engineering and Methodology (TOSEM). ACM. (CCF Rank A) Journal Accepted. [PDF] [-DOI-]

2021

[journal 3] Qiuyuan Chen, Chunyang Chen, Safwat Hassan, Zhengchang Xing, Xin Xia, Ahmed E. Hassan. 2021. ‘How Should I Improve the UI of My App?: A Study of User Reviews of Popular Apps in the Google Play’[J]. ACM Transactions on Software Engineering and Methodology (TOSEM). vol. 30, no. 3. pp. 1–38. (CCF Rank A) Journal Accepted. [PDF] [DOI]

[conference 5] Yuxing Hu, Meng Yan, Zhongxin Liu, Qiuyuan Chen, Bei Wang. 2021. ‘Improving Code Summarization Through Automated Quality Assurance’[C]. in 32nd IEEE International Symposium on Software Reliability Engineering (ISSRE), pp. 486–497, IEEE. (CCF Rank B) Conference Accepted. [PDF] [-DOI-]

2020

[journal 2] Qiuyuan Chen, Xin Xia, Han Hu, David Lo, Shanping Li. 2021. ‘Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction’[J]. ACM Transactions on Software Engineering and Methodology (TOSEM). vol. 30, no. 2. pp. 1–29. ACM. (CCF Rank A) Journal Accepted. [PDF] [DOI]. Invited to present at ICSE 2022 as a journal first paper. [SLIDES]

2019

[conference 4] Qiuyuan Chen, Han Hu, Zhaoyi Liu. 2019. ‘Code Summarization with Abstract Syntax Tree’[C]. in 26th International Conference on Neural Information Processing (ICONIP), vol. 1143, pp. 652–660, Springer. (CCF Rank C) Accepted as a full paper. [PDF] [DOI]

[conference 3] Han Hu, Qiuyuan Chen, Zhaoyi Liu. 2019. ‘Code Generation from Supervised Code Embeddings’[C]. in 26th International Conference on Neural Information Processing (ICONIP), vol. 1142, pp. 388–396, Springer. (CCF Rank C) Accepted as a full paper. [PDF] [DOI]

[conference 2] Zhaoyi Liu, Qiuyuan Chen, Han Hu, Haoyu Tang, Y. X. Zou. 2019. ‘Teacher-Student Learning and Post-processing for Robust BiLSTM Mask-Based Acoustic Beamforming’[C]. in 26th International Conference on Neural Information Processing (ICONIP), vol. 11955, pp. 522–533, Springer. (CCF Rank C) Accepted as a full paper. [PDF] [DOI]

Paper in Chinese

[journal 1] 陈秋远, 李善平, 鄢萌, 夏鑫. 2019. ‘代码克隆检测研究进展’[J]. 软件学报. vol. 30, no. 04. pp. 962–980. (CCF 中文A类) (CCF Rank A in Chinese)。 Journal Accepted. [PDF] [DOI]

2018

[conference 1] Qiuyuan Chen, Lingfeng Bao, Li Li, Xin Xia, Liang Cai. Dec. 2018. ‘Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures’[C]. in 25th Asia-Pacific Software Engineering Conference (APSEC), pp. 345–354. (CCF Rank C) Accepted as a Full Paper. [PDF] [DOI]