鄢萌 职称：研究员，博导
研究方向：智能软件工程、大模型、人工智能
Email: mengy@cqu.edu.cn
鄢萌，重庆大学百人计划研究员、博士生导师, 国家重点研发计划青年科学家项目负责人，小米青年学者，重庆市巴渝青年学者。主要从事智能软件工程、大模型、智能运维等方面的研究。近年来，主持国家重点研发计划重点专项项目、国家自然科学基金面上及青年项目、重庆市技术创新与应用发展专项重大项目、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等项目。发表论文100余篇，其中在CCF推荐A类期刊和会议上发表论文20余篇，包括顶级期刊TSE, TOSEM, TPDS, TSC, TON, SCIS和顶级会议ICSE, ASE, FSE, ISSTA等，申请/获权专利20余项。此外，鄢萌还担任多个顶级会议和期刊审稿人，包括ICSE, ASE, ISSTA, TSE, TOSEM等，担任APSEC 2023&APSEC 2024程序委员会共同主席，担任NASAC 2019、CCF首届中国软件大会组织委员会委员等。三次荣获软件工程顶级会议杰出论文奖（ACM SIGSOFT Distinguished Paper Award，ASE 2020, ASE 2024, ICSE 2025）。指导的首位博士生入选首批中国科协青年人才托举工程博士生专项计划。
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咨询。
近期动态:
[2025/04]，一篇由本科生一作完成的面向深度学习模型的测试用例选择论文被期刊TSE (CCF A) 录用
[2025/04]，一篇关于基于代码大模型的测试断言生成论文被期刊TSE (CCF A) 录用
[2025/03]，荣获CCF A类会议ICSE 2025的杰出论文奖（ACM SIGSOFT Distinguished Paper Award）
[2025/01]，博士生孙伟峰成功入选首批中国科协青年人才托举工程博士生专项计划
[2024/12]，成功入选2024年度小米青年学者
[2024/11]，一篇关于代码大模型的对抗攻击论文被ICSE 2025(CCF-A)录用
[2024/11]，荣获CCF A类会议ASE 2024的杰出论文奖（ACM SIGSOFT Distinguished Paper Award）
[2024/10]，团队本科生蒋中豪、博士生孙伟峰获2024年度国家奖学金
[2024/10]，一篇基于深度语义学习的软件测试中偶然正确性检测论文被期刊TSE(CCF-A) 录用
[2024/09]，一篇基于大模型的单元测试断言生成论文被期刊TOSEM (CCF A) 录用
[2024/08]，一篇基于代码大模型的单元测试代码可追溯技术论文被期刊TSE (CCF A) 录用
[2024/08]，一篇关于软件测试中偶然正确性检测论文被ASE 2024 (CCF A) 录用
[2024/07]，一篇关于深度学习模型测试用例生成论文被期刊TOSEM (CCF A) 录用
[2024/07]，一篇关于代码大模型安全加固论文被ISSTA 2024 (CCF A) 录用
[2024/05]，一篇关于大规模微服务软件系统自动扩缩容技术论文被期刊TON (CCF-A) 录用
[2024/04]，一篇关于大模型智能编程助手实证研究会议长文被FSE 2024 (CCF-A) Industry Track录用
......
工作经历:
2019/10-至今，重庆大学，大数据与软件学院，研究员，博导
2019/11-2021/12，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)
部分科研项目：
[16] 重庆市技术创新与应用发展专项重大项目：药物分子端到端逆合成大模型研发及应用，2024.11--2027.11，项目负责人
[15] 企事业委托项目：XXX行业工业设备运维问答大模型及应用，2024.07--2025.01，课题负责人
[14] 重庆市技术创新与应用发展专项重大项目：卫星互联网全域智能服务平台研发与应用，2023.12--2026.11，课题负责人
[13] 国家自然科学基金面上项目，基于变更切片的过时单元测试代码即时更新方法，2024-2027，项目负责人
[12] 重庆市技术创新与应用发展专项重点项目，智能风控平台关键技术研究与应用，2022-2024，课题负责人
[11] 国家重点研发计划重点专项青年科学家项目，场景驱动的产品生态数据空间设计理论与方法，2021.11-2024.10，项目负责人
[10] 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
[9] 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
[8] 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
[7] 中国博士后科学基金特别资助，基于编程大数据的即时软件缺陷预测与定位研究, 2019-2021，已结题，项目负责人
[6] 中国博士后科学基金面上资助，软件缺陷预测中有监督与无监督模型的关键技术研究, 2017-2019，已结题，项目负责人
[5] 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，已结题，项目负责人
[4] 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，已结题，项目负责人
[3] 企事业单位委托科技项目（蚂蚁），大规模微服务动态扩缩容技术，2021.9-2022.8，已结题，项目骨干
[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，已结题，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，其中CCF-A类17篇，*通讯作者)：
[42] Zhonghao Jiang, Meng Yan*, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo. "DeepVec: State-Vector Aware Test Case Selection for Enhancing Recurrent Neural Network. IEEE Transactions on Software Engineering (TSE, CCF-A), 2025
[41] Hongyan Li, Weifeng Sun, Meng Yan*, Ling Xu, Qiang Li, Xiaohong Zhang, Hongyu Zhang. "Retrieval-Augmented Fine-Tuning for Improving Retrieve-and-Edit Based Assertion Generation. IEEE Transactions on Software Engineering (TSE, CCF-A), 2025
[40] Huan Xie, Yan Lei, Meng Yan, Shanshan Li, Xiaoguang Mao, Yue Yu, David Lo. Towards More Precise Coincidental Correctness Detection with Deep Semantic Learning. IEEE Transactions on Software Engineering (TSE, CCF-A), 2024
[39] Quanjun Zhang, Weifeng Sun, Chunrong Fang, Bowen Yu, Hongyan Li, Meng Yan, Jianyi Zhou, Zhenyu Chen. "Exploring Automated Assertion Generation via Large Language Models". ACM Transactions on Software Engineering and Methodology (TOSEM, CCF-A), 2024
[38] Weifeng Sun, Zhenting Guo, Meng Yan*, Zhongxin Liu, Yan Lei, Hongyu Zhang. "Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning". IEEE Transactions on Software Engineering (TSE, CCF-A, CCF-A), 2024
[37] Li Huang, Weifeng Sun, Meng Yan*, Zhongxin Liu, Yan Lei, David Lo. "Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing". ACM Transactions on Software Engineering and Methodology (TOSEM, JCR Q1, CCF-A), 2024
[36] Ying Fu, Meng Yan*, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang. "End-to-End Log Statement Generation at Block-Level". Journal of Systems and Software (JSS, CCF-B), 2024
[35] Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Meng Yan, Xiaohong Zhang, Alex X. Liu "DeepScaling: Autoscaling Microservices with Stable CPU Utilization for Large Scale Production Cloud Systems". IEEE/ACM Transactions on Networking (TON, CCF-A), 2024
[34] Weifeng Sun, Meng Yan*. Zhongxin Liu, David Lo. "Robust Test Selection for Deep Neural Networks". IEEE Transactions on Software Engineering (TSE, JCR Q1, CCF-A), 2023
[33] Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan. "Code Semantic Enrichment for Deep Code Search". Journal of Systems and Software (JSS, CCF-B), 2023
[32] Weifeng Sun, Meng Yan*, Zhongxin Liu, Xin Xia, Yan Lei, David Lo. "Revisiting the Identification of the Co-Evolution of Production and Test Code". ACM Transactions on Software Engineering and Methodology (TOSEM, JCR Q1, CCF-A), 2023
[31] Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo. "Context-Aware Neural Fault Localization". IEEE Transactions on Software Engineering (TSE, JCR Q1, CCF-A), 2023
[30] Hongyan Li, Meng Yan*, Weifeng Sun, Xiao Liu, Yunsong Wu. "A First Look at Bug Report Templates on GitHub". Journal of Systems and Software (JSS, JCR Q1, CCF-B), 2023
[29] Kunsong Zhao, Zhou Xu*, Meng Yan*, Tao Zhang, Lei Xue, Ming Fan, Jacky Keung. "The Impact of Class Imbalance Techniques on Crashing Fault Residence Prediction Models". Empirical Software Engineering (EMSE, JCR Q1, CCF-B), 2023
[28] Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang. "MetaFL: Metamorphic Fault Localization Using Weakly Supervised Deep Learning". IET Software (IETS, CCF-B), 2023
[27] Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu. "Influential Global and Local Contexts Guided Trace Representation for Fault Localization". ACM Transactions on Software Engineering and Methodology (TOSEM, JCR Q1, CCF-A), 2022
[26] Ying Fu, Meng Yan*, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang*. “An Empirical Study of the Impact of Log Parsers on the Performance of Log-based Anomaly Detection”. Empirical Software Engineering (EMSE, JCR Q1, CCF-B), 2022
[25] Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li. "Just-In-Time Obsolete Comment Detection and Update". IEEE Transactions on Software Engineering (TSE, JCR Q1, CCF-A, IF:6.226), 2022.
[24] Yan Lei, Huan Xie, Tao Zhang, Meng Yan, Zhou Xu, Chengnian Sun. "Feature-FL: Feature-based Fault Localization". IEEE Transactions on Reliability (TR, JCR Q1, IF: 4.424), 2022
[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), 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, IF:2.73), 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: 4.424), 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, IF: 4.424), 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, IF: 4.424), 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), 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, JCR Q1, 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), 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, JCR Q1, 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), 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, JCR Q1, CCF-B), 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-A, IF: 8.216), 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), 2020
[8] 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)
[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), 2018
[5] 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, CCF-A), 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), 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), 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), 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), 2015
发表会议论文(节选CCF A/B，其中：CCF A类会议ACM杰出论文奖3项)：
[37] Li Huang, Weifeng Sun, Meng Yan*. "Iterative Generation of Adversarial Example for Deep Code Models". The 47th IEEE/ACM International Conference on Software Engineering (ICSE, CCF-A), Full paper, 2025 （ACM SIGSOFT Distinguished Paper Award）
[36] Huan Xie, Yan Lei, Maojin Li, Meng Yan, Sheng Zhang. "Combining Coverage and Expert Features with Semantic Representation for Coincidental Correctness Detection". The IEEE/ACM International Conference on Automated Software Engineering (ASE, CCF-A), Full paper, 2024 （ACM SIGSOFT Distinguished Paper Award）
[35] Dong Li, Meng Yan*, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo. "CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-Decoding". The International Symposium on Software Testing and Analysis (ISSTA, CCF-A), Full paper, 2024
[34] Chao Liu, Xindong Zhang, Hongyu Zhang, Zhiyuan Wan, Zhan Huang, Meng Yan. "An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions", The ACM International Conference on the Foundations of Software Engineering (FSE, CCF-A), Industry Full paper, 2024
[33] Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan*. "Guiding ChatGPT for Better Code Generation: An Empirical Study". The IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B), Full paper, 2024
[32] Weifeng Sun, Hongyan Li, Meng Yan*, Yan Lei, Hongyu Zhang. "Revisiting and Improving Retrieval-Augmented Deep Assertion Generation". The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE, CCF-A), Full paper, 2023
[31] Tongxin Lu, Xiaohong Zhang, Ziliang Wang, Meng Yan. "A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction". The IEEE International Conference on Web Services (ICWS, CCF-B), Full paper, 2023
[30] Yisheng Xia, Weifeng Sun, Meng Yan*, Lei Xu, Dan Yang. “An Adaptive Partition-Based Approach for Adaptive Random Testing on Real Programs”. The 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B), ERA Track paper, 2023
[29] Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu. “DeepScaling: Microservices AutoScaling for Stable CPU Utilization in Large Scale Cloud Systems ”. The 13th ACM Symposium on Cloud Computing (SoCC, CCF-B), Full Paper, 2022
[28] Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao. “Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach”. The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE, CCF-A), Full Paper, 2022
[27] Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan*, David Lo, Ting Zhang. "CodeMatcher: A Tool for Large-Scale Code Search Based on Query Semantics Matching". The 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE, CCF-A), Tool Demo paper, 2022 (Demo)
[26] Ying Fu, Meng Yan*, Jian Xu, Jianguo Li*, Zhongxin Liu, Xiaohong Zhang, Dan Yang. "Investigating and Improving Log Parsing in Practice". The 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE, CCF-A), Industry Full paper, 2022
[25] Yanping Yang, Ling Xu, Meng Yan, Zhou Xu, Zhongyang Deng. "A Naming Pattern Based Approach for Method Name Recommendation". The 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE, CCF-B), Full paper, 2022
[24] Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, Xiaohong Zhang. "Improving Fault Localization Using Model-domain Synthesized Failing Test Generation". The 38th IEEE International Conference on Software Maintenance and Evolution (ICSME, CCF-B), Full paper, 2022
[23] Yufu Chen, Meng Yan*, Dan Yang*, Xiaohong Zhang, Ziliang Wang. "Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data”. The IEEE International Conference on Web Services (ICWS, CCF-B). Short Paper, 2022
[22] Kesu Wang, Meng Yan, He Zhang, Haibo Hu. "Unified Abstract Syntax Tree Representation Learning for Cross-language Program Classification”. The 30th ACM/IEEE International Conference on Program Comprehension (ICPC, CCF-B). Full Paper, 2022
[21] Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao. "A Universal Data Augmentation Approach for Fault Localization”. The 44th ACM/IEEE International Conference on Software Engineering (ICSE, CCF-A). Full Paper, 2022
[20] Yan Lei, Chunyan Liu, Huan Xie, Sheng Huang, Meng Yan, Zhou Xu. "BCL-FL: A data augmentation Approach with Between-Class Learning for Fault Localization". The 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B), Full Paper, 2022
[19] Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei. "Fine-grained Co-Attentive Representation Learning for Semantic Code Search". The 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER, CCF-B), Full Paper, 2022
[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), 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), 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), 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), 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), 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), 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), 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), Tool Demonstrations Track paper, 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 with Hybrid Lexical and Syntactical Information”. The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE, CCF-A), Tool 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), 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), 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), 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). 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). 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). 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 (其中CCF-A中文4篇)：
[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, CN112836054A, 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, CN113282336A, 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, CN112527769A, 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, CN112328912A, 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, CN111949480A, 发明型, 中国, 2020
标准:
[1] 团体标准：场景驱动的跨企业产品生态数据空间数据设计规范 （排名第2）
