鄢萌 职称：研究员，博导 职务：CPS教育部重点实验室大数据智能研究所，所长
研究方向：大数据智能、智能软件工程、智能运维、自然语言处理
Email:mengy@cqu.edu.cn
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
鄢萌是重庆大学"****"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****。
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、重庆市自然科学基金面上项目、中国博士后基金面上资助及特别资助、中央高校基金等项目，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CCF推荐A/B类国内外期刊和会议发表论文40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IEEE TPDS, IEEETSC, IEEE TR，EMSE，IST, JSS, SANER, ISSRE, ICSME, ESEM, 中国科学，软件学报等著名刊物，申请/获权专利20余项，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、CCF首届中国软件大会组织委员会委员等。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）。
更多信息参见:https://yanmeng.github.io/
鄢萌所在的大数据智能研究所常年招收博士后、博士生、硕士生和本科实习生，鼓励高年级本科生提前参与科研，优秀者可留实验室或推荐出国深造。欢迎感兴趣的同学发邮件或者来办公室（虎溪校区大数据与软件学院304室）咨询。
近期动态:
[2021/09]，一篇基于隐含状态感知网络的服务质量预测论文被IEEE TPDS期刊 (CCF-A)录用
[2021/08]，两篇分别关于代码摘要质量保证、编程知识关联分析的论文被ISSRE 2021 (CCF-B)会议全文录用
[2021/07]，一篇基于集成学习的即时移动应用缺陷预测论文被期刊 IET Software (CCF-B)录用
[2021/06]，受邀担任 第一届浙大-华为软件工程前沿论坛特邀报告人
[2021/06]，一篇关于软件崩溃定位中的特征工程论文被期刊IST（CCF-B）录用
[2021/05]，一篇关于代码自然性综述被软件学报（CCF-A中文期刊）期刊录用
[2021/04]，一篇关于Web服务分类论文被ESWA（JCR 1区）期刊录用
......
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，****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**** (合作导师：Xin Xia)
2018/05-2018/10,阿里巴巴研发效能事业部，访问****
部分科研项目：
[7]国家自然科学基金青年基金，面向软件变更的即时缺陷预测与定位的融合方法，2021.1-2023.12，项目负责人
[6]重庆市自然科学基金（面上），基于编程大数据的即时代码行级缺陷预测方法，2021-2023，项目负责人
[5]重庆市博士后出站来渝资助，数据驱动的智能运维技术，2021-2024，项目负责人
[4] 中央高校基本科研业务与前沿交叉专项，大数据驱动的软件缺陷即时一体化解析技术，2020.1-2021.12，项目负责人
[3]中央高校基本科研业务自科专项，面向复杂生态系统的制造大数据价值理论与方法，2020.9-2021.10，项目负责人
[2] 国家重点研发计划，基于编程现场大数据的软件智能开发方法和环境，2018.5-2021.4，项目骨干
[1]企事业单位委托科技项目（阿里），即时的软件缺陷预测与定位技术，2018.5-2019.5，已结题，项目骨干
发表SCI期刊论文(节选，CCF A/B或JCR 1区)：
[23] Ziliang Wang, Xiaohong Zhang*, Meng Yan*, Ling Xu, and Dan Yang. "HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction". IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF-A), Accepted, 2021.
[22] Kunsong Zhao, Zhou Xu*, Meng Yan*, Lei Xue, Wei Li, and Gemma Catolino. "A Compositional Model for Effort-Aware Just-In-Time Defect Prediction on Android Apps". IET Software (IET Software, CCF-B), 2021.
[21] Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Dan Yang, and Wei Li. "A Comprehensive Investigation of the Impact of Feature Selection Techniques on Crashing Fault Residence Prediction Models". Information and Software Technology (IST, CCF-B), 2021.
[20] Bin Tang, Meng Yan*, Neng Zhang, Ling Xu, Xiaohong Zhang, and Haijun Ren. "Co-Attentive Representation Learning for Web Services Classification". Expert Systems With Applications (ESWA，JCR Q1, IF: 6.95), 2021
[19] Zhou Xu, Kunsong Zhao, Tao Zhang, Chunlei Fu*, Meng Yan*, Zhiwen Xie, Xiaohong Zhang, and Gemma Catolino. "Effort-Aware Just-in-Time Bug Prediction for Mobile Apps via Cross-triplet Deep Feature Embedding". IEEE Transactions on Reliability (TR，JCR Q1, IF: 4.42), 2021
[18] Ruifeng Duan, Haitao Xu*, Yuanrui Fan, Meng Yan*."The Impact of Duplicate Changes on Just-in-Time Defect Prediction".IEEE Transactions on Reliability(TR, JCR Q1), Accepted, 2021
[17] Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang, Meng Yan. "Simplified Deep Forest Model based Just-in-Time Defect Prediction for Android Mobile Apps". IEEE Transactions on Reliability (TR, JCR Q1), Accepted, 2021
[16] 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
[15] 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
[14] 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
[13] 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
[12] 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
[11] 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
[10] 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: 8.216), Accepted, 2020
[9] 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:6.226), Accepted, 2020
[8] Meng Yan,Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li. "Characterizing and Identifying Reverted Commits".Empirical SoftwareEngineering (EMSE, JCR Q1, CCF-B, IF:4.457), 2019 (Invited to ICSE 2020 as part of the Journal First Paper Track)

[7] 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:6.226), 2018(Invited to ESEC/FSE 2018 as part of the Journal First Paper Track)
[6] 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
[5]Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Shanping Li. "Software Quality Assessment Model: A SystematicMappingStudy".SCIENCE CHINA Information Sciences (SCIS, JCR Q2, CCF-B, IF:2.731), 2018
[4]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
[3] 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
[2] 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
[1] 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
发表会议论文(节选，CCF A/B)：
[18]Yuxing Hu, Meng Yan*, Zhongxin Liu, Qiuyuan Chen, Bei Wang. "Improving Code Summarization Through Automated Quality Assurance". The 32nd International Symposium on Software Reliability Engineering (ISSRE, CCF-B), Accepted as a Full Paper, 2021
[17]Zhaolin Luo, Ling Xu, Zhou Xu, Meng Yan, Yan Lei, Can Li."Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention". The 32nd International Symposium on Software Reliability Engineering (ISSRE, CCF-B), Accepted as a Full Paper, 2021
[16] Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou. "Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set". The 29th IEEE International Conference on Program Comprehension (ICPC, CCF-B), Accepted as a Full Paper, 2021
[15] Bei Wang, Meng Yan*, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang*. "Quality Assurance for Automated Commit Message Generation". The 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B), Accepted as a Full Paper, 2021
[14] Zeyu Wang, Sheng Huang*, Zhongxin Liu, Meng Yan*, Xin Xia, Bei Wang, Dan Yang. "Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network". The 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B), Accepted as a Full Paper, 2021
[13] Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan*, Yan Lei, Zhou Xu. Two-Stage Attention-Based Model for Code Search with Textual and Structural Features". The 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B), Accepted as a Full Paper, 2021
[12] Deheng Yang, Yan Lei, Xiaoguang Mao, David Lo, Huan Xie, Meng Yan. "Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair". The 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B),Accepted as a Full Paper, 2021
[11] 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 a Tool Demonstrations Trackpaper, 2020 (源码与插件, 演示视频）
[10] 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 Track paper, 2020(源码与插件, 演示视频）
[9] 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 an Industry Full paper, 2020
[8] Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei. "Deep Learning Based Valid Bug Reports Determination and Explanation". The 31st International Symposium on Software Reliability Engineering (ISSRE, CCF-B), Accepted as a Full Paper, 2020
[7] 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
[6]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）
[5] 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
[4] 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
[3] 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
[2] 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
[1] 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
发表中文期刊论文：
[7] 陈浙哲,鄢萌*,夏鑫,刘忠鑫,徐洲,雷晏."代码自然性及其应用研究进展". 软件学报, 2021. (已录用）(一级学报，CCF-A类中文期刊)(通讯作者)
[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 (节选):
[5] 鄢萌;?唐斌;?吴云松;?张小洪;?徐玲;?任海军;?杨丹.一种基于共生注意力表示学习的服务分类方法, CNA, 发明型, 中国, 2021
[4] 鄢萌;?胡予星;?毕霁超;?刘忠鑫;?陈秋远;?王备;?雷晏;?徐玲.一种基于质量保证框架的代码摘要集成方法,CNA, 发明型, 中国, 2021
[3] 鄢萌;?王备;?刘忠鑫;?徐玲;?夏鑫;?张小洪;?付春雷.一种针对软件变更日志生成方法的自动化质量保证框架, CNA, 发明型, 中国, 2021
[2] 鄢萌;?张文燕;?徐玲;?罗兆林;?阳欢欢;?王子梁;?付春雷;?张小洪. 一种利用地点感知的QoS预测方法, CNA, 发明型, 中国, 2021
[1]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, CNA, 发明型, 中国, 2020










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