Publication

Journal

[44] 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 [PDF]

[43] 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 [PDF]

[42] 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), 2024 [PDF]

[41] 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, CCF-A), 2024 [PDF]

[40] 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 [PDF]

[39] 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 [PDF]

[38] Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan. "Understanding the Implementation Issues When Using Deep Learning Frameworks". Information and Software Technology (IST, CCF-B), 2023 [PDF]

[37] Weifeng Sun, Meng Yan*, Zhongxin Liu, David Lo. "Robust Test Selection for Deep Neural Networks". IEEE Transactions on Software Engineering (TSE, CCF-A), 2023 [PDF]

[36] 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 [PDF]

[35] 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, CCF-A), 2023 [PDF]

[34] Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo. "Context-Aware Neural Fault Localization". IEEE Transactions on Software Engineering (TSE, CCF-A), 2023 [PDF]

[33] 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, CCF-B), 2023 [PDF]

[32] 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, CCF-B), 2023 [PDF]

[31] 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 [PDF]

[30] 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, CCF-A), 2022 [PDF]

[29] 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, CCF-B), 2022 [PDF]

[28] Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li. "Just-In-Time Obsolete Comment Detection and Update". IEEE Transactions on Software Engineering (TSE, CCF-A), 2022 [PDF]

[27] Xiao Liu, Zhou Xu, Dan Yang, Meng Yan, Weihan Zhang, Haohan Zhao, Lei Xue, Ming Fan. "An unsupervised cross project model for crashing fault residence identification". IET Software (IETS, CCF-B), 2022 [PDF]

[26] 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), 2022 [PDF]

[25] Ziliang Wang, Xiaohong Zhang, Meng Yan*, Ling Xu, Dan Yang. "HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction". IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF-A), 2021 [PDF]

[24] Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino.. "A Compositional Model for Effort-Aware Just-In-Time Defect Prediction on Android Apps". IET Software (CCF-B), 2021 [PDF]

[23] Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Dan Yang, 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 [PDF]

[22] Bin Tang, Meng Yan*, Neng Zhang, Ling Xu, Xiaohong Zhang, Haijun Ren. "Co-Attentive Representation Learning for Web Services Classification". Expert Systems With Applications (ESWA, JCR Q1), 2021 [PDF]

[21] Wenyan Zhang, Ling Xu, Meng Yan, Ziliang Wang, Chunlei Fu. "A Probability Distribution and Location-aware ResNet Approach for QoS Prediction". Journal of Web Engineering (CCF-C), 2021 [PDF]

[20] Zhou Xu, Kunsong Zhao, Tao Zhang, Chunlei Fu, Meng Yan, Zhiwen Xie, Xiaohong Zhang, 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), 2021 [PDF]

[19] 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), 2021 [PDF]

[18] 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), 2021 [PDF]

[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), 2020 [PDF]

[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), 2020 [PDF]

[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), 2020 [PDF]

[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), 2020 [PDF]

[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), 2020 [PDF]

[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), 2020 [PDF]

[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), 2020 [PDF]

[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), 2020 [PDF]

[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) [PDF]

[8] 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 [PDF]

[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:4.778), 2018 (Invited to ESEC/FSE 2018 as part of the Journal First Paper Track) [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

Conference

[50] 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 [PDF]

[49] Tao Yin, Zhibin Zhang, Shikang Hou, Huan Zhao, Lijiao Zheng, Yifei Zhou, Jin Xie, Meng Yan*. "MSAnomaly: Time Series Anomaly Detection with Multi-Scale Augmentation and Fusion". The 20th International Conference Advanced Data Mining and Applications (ADMA, CCF-C) , Full paper, 2024 [PDF]

[48] 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 (ACM SIGSOFT Distinguished Paper Award), 2024 [PDF]

[47] 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 [PDF]

[46] Zhonghao Jiang, Weifeng Sun, Xiaoyan Gu, Jiaxin Wu, Tao Wen, Haibo Hu, Meng Yan*. "DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection". The 15th Asia-Pacific Symposium on Internetware (CCF-C), Full paper, 2024 [PDF]

[45] 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 [PDF]

[44] 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 [PDF]

[43] Zhipeng Liu, Meng Yan*, Zhipeng Gao, Dong Li, Xiaohong Zhang, Dan Yang. "AW4C: A Commit-Aware C Dataset for Actionable Warning Identification". The International Conference on Mining Software Repositories (MSR, CCF-C), Data and Tools Showcase Track paper, 2024 [PDF]

[42] 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 [PDF]

[41] Zhenting Guo, Meng Yan*, Hongyan Li, Zhezhe Chen, and Weifeng Sun. "Just-In-Time Method Name Updating With Heuristics and Neural Model". The IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS, CCF-C), Full paper, 2023 [PDF]

[40] 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 [PDF]

[39] 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), Short paper, 2023 [PDF]

[38] 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 2022, CCF-B), Full paper, 2022 [PDF]

[37] 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 2022, CCF-A), Full paper, 2022 [PDF]

[36] 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 [PDF]

[35] 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 [PDF]

[34] 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 [PDF]

[33] 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 [PDF]

[32] 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 [PDF]

[31] 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 [PDF]

[30] 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 [PDF]

[29] 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 [PDF]

[28] 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 [PDF]

[27] 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 [PDF]

[26] 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 [PDF]

[25] 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 [PDF]

[24] 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 [PDF]

[23] 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 [PDF]

[22] 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 [PDF]

[21] 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 [PDF]

[20] Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, and Gemma Catolino.. "Just-in-Time Defect Prediction for Android Apps via Imbalanced Deep Learning Model". The 36th ACM/SIGAPP Symposium On Applied Computing (SAC, CORE-B) Full paper, 2020 [PDF]

[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), Tool Demonstrations Track paper, 2020 [PDF]

[18] 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 [PDF]

[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), Industry Full paper, 2020 [PDF]

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

[15] 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 [PDF]

[14] Kun Yin, Meng Yan*, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, 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 [PDF]

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

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

[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 [PDF]

[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) [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

[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) [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

[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 [PDF]

Papers in Chinese

[5] 张卓, 刘业鹏, 薛建新, 鄢萌, 陈嘉弛, 毛晓光. "基于数据流传播路径学习的智能合约时间戳漏洞检测". 软件学报, 已录用, 2023 [PDF]

[4] 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, 已录用, 2021 (通讯作者) [PDF]

[3] 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, 已录用, 2020 (通讯作者) [PDF]

[2] 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, 已录用, 2018 (通讯作者, Invited to NASAC 2018 as part of the 智能化软件新技术 Track) [PDF]

[1] 陈秋远, 李善平, 鄢萌*, 夏鑫. "代码克隆检测研究进展". 软件学报, 已录用, 2018 (通讯作者) [PDF]