陈秋远 博士

腾讯高级研究员 | 智能化软件工程方向
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About Me

当前，我（陈秋远）就职于腾讯公司并担任高级研究员。2023年，我加入腾讯“技术大咖”人才计划（今“青云计划”），负责大模型在代码补全场景的端到端应用及线上效果提升。包括但不限于研制高质量数据，对代码大模型进行后训练，以及对上线产品调优。

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。在攻博期间，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学术论文10余篇，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。

Google Scholar

此链接指向我的谷歌学术主页

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Working Experience

2023年1月-至今，在腾讯公司TEG事业群Code智能化中心，担任高级研究员。

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.

My [CV]. last updated: 2025.07.20

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]