基本信息

职位：研究员

E-mail：mengy@cqu.edu.cn

研究方向：大数据智能、智能软件工程、智能运维、大数据分析与高级机器学习、自然语言处理

地址：重庆市沙坪坝区大学城南路55号大数据与软件学院楼304室

个人简介

鄢萌是重庆大学百人计划特聘研究员、博士生导师, 信息物理社会可信服务计算（CPS）教育部重点实验室大数据智能研究所所长，鹏城实验室双聘研究员，重庆市软件技术创新战略联盟专家委员会委员，IEEE/ACM/CCF/会员。于重庆大学大数据与软件学院获本/硕/博学位，浙江大学计算机学院博士后，澳大利亚蒙纳士大学(Monash University)访问学者。

鄢萌主要从事大数据智能、智能软件工程、智能运维等方面的研究。他的研究主要基于软件开发和维护过程中产生的软件工程大数据，利用人工智能、程序分析、自然语言处理等技术手段，挖掘隐含的知识和模式，进而针对不同的软件工程活动，提出不同的辅助技术与工具，以提升软件开发和维护的效率和质量。

近年来，鄢萌主持国家自然科学基金青年基金一项，中国博士后基金面上资助及特别资助各一项，作为项目骨干参与国家重点研发计划、浙江大学-阿里巴巴联合研究中心资助项目等多项，在软件工程著名期刊和会议发表论文30余篇，包括软件工程顶级期刊IEEE Transactions on Software Engineering(TSE)、顶级会议（ASE, FSE）以及EMSE, IST, JSS, TSC, ICSME, ESEM,中国科学，软件学报等著名刊物，与加拿大皇后大学、澳大利亚蒙纳士大学、新加坡管理大学、浙江大学等海内外著名高校建立了紧密的合作关系。此外，鄢萌还担任多个国际会议和期刊审稿人，包括NASAC,COMPSAC, PROMISE, EMSE, TR, JSS, SCIS等，担任SANER 2019会议(CCF-B)的Registration chair，担任NASAC 2019的组织委员会委员等。荣获全球软件工程顶级会议ASE 2020（CCF-A）杰出论文奖（ACM SIGSOFT Distinguished Paper Award）。

近期动态

[2020/11]，一篇针对基于深度学习的错误定位技术的实证研究被期刊 IST（CCF-B）录用

[2020/11]，一篇针对基于聚类的无监督软件缺陷预测模型的实证研究被期刊 JSS（CCF-B）录用

[2020/10]，一篇基于特征选择和嵌入的跨项目软件崩溃定位论文被期刊 IST（CCF-B）录用

[2020/09]，一项关于即时缺陷预测与定位的融合方法项目获国家自然科学基金青年基金资助

[2020/09]，一篇CCF-A类会议论文获全球顶级学术会议ASE 2020杰出论文奖（全球414篇投稿，录用93篇论文，评选7篇杰出论文）

[2020/08]，一篇即时缺陷预测与定位的工具论文被软件工程顶级会议ESEC/FSE 2020（CCF-A）Tool Demo Track录用

[2020/08]，一篇基于深度学习NMT的代码注释生成的工具论文被软件工程顶级会议ESEC/FSE 2020（CCF-A）Tool Demo Track录用

[2020/08]，一篇基于深度学习和协同过滤的编程问答标签推荐论文被期刊JSS(CCF-B)录用

[2020/08]，一篇基于深度学习的错误定位改进论文被期刊JSEP(CCF-B)录用

[2020/08]，一篇即时缺陷预测在阿里巴巴的应用论文被软件工程顶级会议ESEC/FSE 2020（CCF-A）全文录用

[2020/08]，一篇基于可解释深度学习的有效缺陷报告检测与解释的论文被ISSRE 2020（CCF-B）全文录用

[2020/08]，一篇基于深度学习LSTM的异常日志检测论文被ICSME 2020（CCF-B）会议NIER Track录用

[2020/07]，一篇基于深度学习Seq2seq的即时注释更新论文被软件工程顶级会议ASE（CCF-A）全文录用

[2020/07]，一篇基于不平衡度量学习的软件崩溃定位论文被期刊JSS(CCF-B)录用

[2020/06]，一篇基于深度学习的缺陷定位论文被期刊TSC(CCF-B)录用

[2020/06]，三项与阿里巴巴联合申请专利公布

[2020/03]，一篇关于即时的软件缺陷预测与定位论文被软件工程顶级期刊TSE(CCF A)录用

[2020/03]，一篇基于深度学习的代码搜索论文被ICPC 2020 (CCF B类会议)全文录用

[2020/03]，一篇基于CNN的重复缺陷报告检测论文被ICPC 2020 (CCF B类会议)全文录用

[2020/02]，一篇关于区块链隐私保护的论文被软件学报（CCF A中文）录用

[2020/02]，一篇EMSE期刊论文被邀请至ICSE 2020 (CCF A)会议Journal First Track做报告

工作经历

2019/10-至今，重庆大学，CPS教育部重点实验室大数据智能研究所，所长

2019/10-至今，重庆大学，大数据与软件学院，百人计划研究员，博导

2019/11-至今，深圳鹏城实验室，双聘研究员

2017/07-2019/09, 浙江大学，计算机学院，博士后 (合作导师：杨小虎教授，李善平教授)

2018/11-2019/06, 澳大利亚蒙纳士大学，访问学者 (合作导师：Xin Xia)

2018/05-2018/10, 阿里巴巴研发效能事业部，访问学者

发表SCI期刊论文

[17] Zhuo Zhang, Yan Lei, Xiaoguang Mao,Meng Yan,Ling Xu, Xiaohong Zhang. "A Study of Effectiveness of Deep Learning in Locating Real Faults". Information and Software Technology (IST, CCF-B), Accepted, 2020

[16] Zhou Xu, Li Li,Meng Yan*,Jin Liu*, Xiapu Luo, John Grundy, Yifeng Zhang, Xiaohong Zhang. "A Comprehensive Comparative Study of Clustering-based Unsupervised Defect Prediction Models".Journal of Systems and Software (JSS, CCF-B), Accepted, 2020

[15]Zhou Xu, Tao Zhang, Jacky Keung,Meng Yan∗, Xiapu Luo∗ , Xiaohong Zhang, Ling Xu, Yutian Tang."Feature Selection and Embedding Based Cross Project Framework for Identifying Crashing Fault Residence".Information and Software Technology(IST, CCF-B), Accepted, 2020

[14] Can Li, Ling Xu,Meng Yan, Yan Lei. "TagDC: A Tag Recommendation Method for Software Information Sites with a Combination of Deep Learning and Collaborative Filtering". Journal of Systems and Software (JSS, CCF-B), Accepted, 2020

[13] Zhuo Zhang, Yan Lei, Xiaoguang Mao,Meng Yan, Ling Xu, Junhao Wen. "Improving Deep-Learning-based Fault Localization with Resampling". Journal of Software: Evolution and Process (JSEP, CCF-B), Accepted, 2020

[12] Zhou Xu, Kunsong Zhao,Meng Yan*, Peipei Yuan, Ling Xu, Yan Lei, Xiaohong Zhang. "Imbalanced Metric Learning for Crashing Fault Residence Prediction". Journal of Systems and Software (JSS, CCF-B), Accepted, 2020

[11]Bei Wang, Ling Xu,Meng Yan, Chao Liu, Ling Liu. "Multi-Dimension Convolutional Neural Network for Bug Localization". IEEE Transactions on Services Computing (TSC, JCR Q1, CCF-B, IF: 5.707),Accepted,2020

[10]Meng Yan,Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li. "Just-In-Time Defect Identification and Localization: A Two-Phase Framework". IEEE Transactions on Software Engineering (TSE,JCR Q1,CCF-A,IF:6.112), Accepted, 2020

[9]Meng Yan,Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li. "Characterizing and Identifying Reverted Commits". Empirical  Software Engineering (EMSE, JCR Q1, CCF-B, IF:4.457), 2019(Invited to ICSE 2020 as part of the Journal First Paper Track)

[8]Meng Yan, Xin Xia, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang. "Automating Change-level Self-admitted Technical Debt Determination". IEEE Transactions on Software Engineering (TSE, JCR Q1,CCF-A, IF:6.112), 2018 (Invited to ESEC/FSE 2018 as part of the Journal First Paper Track)

[7] Chao Liu, Dan Yang, Xin Xia,Meng Yan, Xiaohong Zhang. "A Two-Phase Transfer Learning Model for Cross-Project Defect  Prediction". Information and Software Technology (IST, JCR Q1, CCF-B, IF:2.921), 2018

[6]Meng Yan,Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Shanping Li. "Software Quality Assessment Model: A Systematic Mapping Study". SCIENCE CHINA Information Sciences (SCIS, JCR Q2, CCF-B, IF:2.731), 2018

[5]Meng Yan,Xiaohong Zhang, Chao Liu, Ling Xu, Mengning Yang, Dan Yang. "Automated change-prone class prediction on unlabeled dataset using unsupervised method". Information and Software Technology (IST, JCR Q1, CCF-B, IF:2.921), 2017

[4]Meng Yan,Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer. "A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis". Information and Software Technology (IST, JCR Q1, CCF-B, IF:2.921), 2016

[3]Meng Yan,Ying Fu, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer. "Automatically Classifying Software Changes via Discriminative Topic Model: Supporting Multi-category and Cross-project". Journal of Systems and Software (JSS, JCR Q1, CCF-B, IF:2.559), 2016

[2] Ying Fu,Meng Yan,Xiaohong Zhang, Ling Xu, Dan Yang. "Automated Classification of Software Change Messages by Semi-supervised Latent Dirichlet Allocation". Information and Software Technology (IST, JCR Q1, CCF-B, IF:2.921), 2015

[1] Hailin Liu, Ling Xu, Mengling Yang,Meng Yan,Xiaohong Zhang. "Predicting Component Failures Using Latent Dirichlet Allocation". Mathematical Problems in Engineering (MPE, JCR Q3, IF:1.179), 2015

发表会议论文

[19] Fangcheng Qiu,Meng Yan*,Xin Xia, Xinyu Wang, Yuanrui Fan, Ahmed E. Hassan,David Lo."JITO: A Tool for Just-In-Time Defect Identification and Localization". The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE,CCF-A), Accepted as aTool Demonstrations Trackpaper, 2020 (源码与插件,演示视频）

[18] Boao Li,Meng Yan,Xin Xia, Xing Hu, Ge Li, David Lo. "DeepCommenter: A Deep Code Comment Generation Tool withHybrid Lexical and Syntactical Information”. The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE,CCF-A), Accepted as aTool Demonstrations Trackpaper, 2020(源码与插件,演示视频）

[17]Meng Yan,Xin Xia, Yuanrui Fan, David Lo, Ahmed E. Hassan, Xindong Zhang. "Effort-Aware Just-in-Time Defect Identification in Practice: A Case Study at Alibaba". The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE,CCF-A), Accepted as a Full paper, 2020

[16] Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu,Meng Yan,Yan Lei."Deep Learning Based Valid Bug Reports Determination andExplanation". The31st International Symposium on Software Reliability Engineering (ISSRE, CCF-B), Accepted as aFullPaper, 2020

[15]Kun Yin,Meng Yan*,Ling Xu, Zhou Xu, Zhao Li, Dan Yang and Xiaohong Zhang."Improving Log-Based Anomaly Detection with Component-Aware Analysis". The 36th International Conference on Software Maintenance and Evolution (ICSME, CCF-B), Accepted as a NIER Paper, 2020

[14] Zhongxin Liu, Xin Xia,Meng Yan,Shanping Li. "Automating Just-In-Time Comment Updating". 35th IEEE/ACM International Conference on Automated Software Engineering (ASE,CCF-A). Accepted as a Full Paper, 2020 （ACM SIGSOFT Distinguished Paper Award）

[13] Jianjun He, Ling Xu,Meng Yan,Xin Xia, Yan Lei. "Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks". 28th International Conference on Program Comprehension (ICPC, CCF-B). Accepted as a Full paper, 2020

[12] Jianhang Shuai, Ling Xu, Chao Liu,Meng Yan, Xin Xia, Yan Lei. "Improving Code Search with Co-Attentive Representation Learning". 28th International Conference on Program Comprehension (ICPC, CCF-B). Accepted as a Full paper, 2020

[11] Can Li, Ling Xu,Meng Yan,Jianjun He and Zuli Zhang. "TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM". The 12th International Conference on Knowledge Science, Engineering and Management (KSEM, CCF-C), Full paper, 2019

[10] Ling Xu, Bei Wang, Ling Liu, Mo Zhou, Shenping Liao,Meng Yan."Misclassification Cost-Sensitive Software Defect Prediction". The 19th IEEE International Conference on Information Reuse and Integration for Data Science (IRI), Full paper, 2018 (Best Paper Runner up)

[9] Chao Liu, Dan Yang, Xin Xia,Meng Yan,Xiaohong Zhang. "Cross-Project Change-Proneness Prediction". The 42nd IEEE International Conference on Computers, Software and Applications (COMPSAC, CCF-C), Full paper, 2018

[8]Meng Yan,Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang. "File-Level Defect Prediction: Unsupervised vs. Supervised Models". 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM, CCF-B), Full paper, 2017

[7]Meng Yan,Xin Xia, Xiaohong Zhang, Dan Yang, Ling Xu. "Automating Aggregation for Software Quality Modeling". 33nd International Conference on Software Maintenance and Evolution (ICSME, CCF-B), NIER paper, 2017

[6]Meng Yan,Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang. "A Systematic Mapping Study of Quality Assessment Models for Software Products". The Annual Conference on Software Analysis, Testing and Evolution (SATE), Full paper, 2017 (Invited to SCIENCE CHINA Information Sciences Journal)

[5]Meng Yan,Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia. "Learning to Aggregate: An Automated Aggregation Method for Software Quality Model". 39th International Conference on Software Engineering (ICSE,CCF-A), Poster Track, 2017

[4]Meng Yan,Xiaohong Zhang, Ling Xu, Haibo Hu, Song Sun, Xin Xia. "Revisiting the Correlation between Alerts and Software Defects-A Case Study on MyFaces, Camel, and CXF". The 41st IEEE International Conference on Computers, Software and Applications (COMPSAC, CCF-C), Short paper, 2017

[3]Meng Yan,Mengning Yang, Chao Liu, Xiaohong Zhang. "Self-learning Change-prone Class Prediction". 28th International Conference on Software Engineering & Knowledge Engineering (SEKE, CCF-C), Full paper, 2016

[2] Jie Zou, Ling Xu, Mengning Yang,Meng Yan,Dan Yang, Xiaohong Zhang. "Duplication Detection for Software Bug Reports based on Topic Model". 9th International Conference on Services Science (ICSS), Full paper, 2016

[1] Jie Zou, Ling Xu, Weikang Guo,Meng Yan,Dan Yang. "Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis". 12th Working Conference on Mining Software Repositories (MSR, CCF-C), Mining Challenge Track, 2015

发表中文期刊论文

[6] 蔡亮,端豪,鄢萌*,夏鑫."基于双层协同的联盟区块链隐私数据保护方法".软件学报, 2020. (已录用）(一级学报，CCF-A类中文期刊)(通讯作者)

[5] 蔡亮,范元瑞,鄢萌*,夏鑫."即时软件缺陷预测研究进展".软件学报,30(5):1288-1307,2019. (Invited to NASAC 2018 as part of the 智能化软件新技术 Track)(一级学报，CCF-A类中文期刊)(通讯作者)

[4] 陈秋远,李善平,鄢萌*,夏鑫."代码克隆检测研究进展".软件学报,30(4):962-980,2019.(一级学报，CCF-A类中文期刊)(通讯作者)

[3]鄢萌,夏鑫,杨小虎,李睿."能效：软件应用开发人员需要考虑的新问题"(特邀译文),中国计算机学会通讯,14(2): 82-87,2018

[2] 周末,徐玲,杨梦宁,廖胜平,鄢萌."基于深度自编码网络的软件缺陷预测方法"，计算机工程与科学，40(10):1796-1804，2018

[1] 廖胜平,徐玲,鄢萌.基于采样的半监督支持向量机软件缺陷预测方法, 计算机工程与应用, 14:161-166, 2016

授权/申请发明专利

[12] 徐玲; 帅鉴航;鄢萌;刘超; 雷晏; 徐洲; 何健军; 张文燕; 李灿; 王备. 一种基于共同注意力表征学习的代码搜索方法, CN111488137A, 发明型, 中国, 2020

[11] 徐玲; 聂彤羽;鄢萌;王子梁; 张文燕; 付春雷; 张小洪.一种基于聚类和高斯LDA的服务发现方法, CN111832289A, 发明型, 中国, 2020

[10]鄢萌;尹昆; 徐玲; 付春雷; 张小洪; 徐洲; 雷晏. 一种基于组件感知的日志异常检测方法, CN111949480A, 发明型, 中国, 2020

[9]徐玲; 李灿; 张文燕;鄢萌;雷晏; 徐洲; 张小洪; 王成良. 结合深度学习和协同过滤技术的复合标签推荐方法, CN111274494A, 发明型, 中国, 2020

[8]徐玲; 帅鉴航;鄢萌;刘超; 雷晏; 徐洲; 何健军; 张文燕; 李灿; 王备. 一种基于共同注意力表征学习的代码搜索方法 , CN111488137A, 发明型, 中国, 2020

[7]杨小虎; 曹靖; 刘力华; 张昕东;鄢萌;夏鑫.一种基于深度学习的软件代码行级缺陷检测方法, CN110825642A, 发明型, 中国, 2020

[6]蔡亮; 钟文枫; 刘力华; 张昕东;鄢萌;夏鑫; 李善平.一种工作量感知的多分支软件变更级缺陷预测方法, CN111045920A, 发明型, 中国, 2020

[5] 蔡亮; 张洋;鄢萌;刘忠鑫; 夏鑫; 李善平; 王新宇. 一种基于最近邻算法的代码变更日志自动生成方法, CN111090460A, 发明型, 中国, 2020

[4] 傅珉; 杨昕立;鄢萌;李元平; 章修琳; 吴芮; 杨小虎.代码克隆检测方法、装置以及电子设备, CN111124487A, 发明型, 中国, 2020

[3] 徐玲, 陆正发,鄢萌,杨梦宁, 葛永新, 洪明坚, 张小洪, 周末, 杨丹. 基于概率的无监督缺陷预测方法, CN106021115B, 发明型, 中国, 2016

[2] 徐玲, 杨梦宁, 葛永新, 洪明坚, 张小洪, 刘海林,鄢萌. 一种软件缺陷组件预测的方法, CN104699614B, 发明型, 中国, 2015

[1] 张小洪,鄢萌,傅颖, 徐玲, 杨梦宁, 洪明坚, 葛永新, 杨丹. 基于半监督概率潜在语义分析的软件变更日志分类方法, CN103984756B, 发明型, 中国, 2014