Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis. - Jie Zou; Ling Xu; Weikang Guo; Meng Yan 001; Dan Yang 001; Xiaohong Zhang 002 (MSR, 2015)

Automated classification of software change messages by semi-supervised Latent Dirichlet Allocation. - Ying Fu; Meng Yan 001; Xiaohong Zhang 002; Ling Xu; Dan Yang 001; Jeffrey D. Kymer (Inf. Softw. Technol., 2015)

Self-learning Change-prone Class Prediction. - Meng Yan 001; Mengning Yang; Chao Liu 014; Xiaohong Zhang 002 (SEKE, 2016)

Duplication Detection for Software Bug Reports based on Topic Model. - Jie Zou; Ling Xu; Mengning Yang; Meng Yan 001; Dan Yang 001; Xiaohong Zhang 002 (ICSS, 2016)

A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis. - Meng Yan 001; Xiaohong Zhang 002; Dan Yang 001; Ling Xu; Jeffrey D. Kymer (Inf. Softw. Technol., 2016)

自适应的SILTP算法在运动车辆检测中的研究 (Vehicle Detection Research Based on Adaptive SILTP Algorithm). - Fei Li; Xiaohong Zhang 002; Chenqiu Zhao; Meng Yan 001 (计算机科学, 2016)

Automatically classifying software changes via discriminative topic model: Supporting multi-category and cross-project. - Meng Yan 001; Ying Fu; Xiaohong Zhang 002; Dan Yang 001; Ling Xu; Jeffrey D. Kymer (J. Syst. Softw., 2016)

Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF. - Meng Yan 001; Xiaohong Zhang 002; Ling Xu; Haibo Hu 002; Song Sun; Xin Xia 001 (COMPSAC (1), 2017)

File-Level Defect Prediction: Unsupervised vs. Supervised Models. - Meng Yan 001; Yicheng Fang; David Lo 001; Xin Xia 001; Xiaohong Zhang 002 (ESEM, 2017)

Learning to aggregate: an automated aggregation method for software quality model. - Meng Yan 001; Xiaohong Zhang 002; Chao Liu 014; Jie Zou; Ling Xu; Xin Xia 001 (ICSE (Companion Volume), 2017)

Automating Aggregation for Software Quality Modeling. - Meng Yan 001; Xin Xia 001; Xiaohong Zhang 002; Dan Yang 001; Ling Xu (ICSME, 2017)

A Systematic Mapping Study of Quality Assessment Models for Software Products. - Meng Yan 001; Xin Xia 001; Xiaohong Zhang 002; Ling Xu; Dan Yang 001 (SATE, 2017)

Automated change-prone class prediction on unlabeled dataset using unsupervised method. - Meng Yan 001; Xiaohong Zhang 002; Chao Liu 014; Ling Xu; Mengning Yang; Dan Yang 001 (Inf. Softw. Technol., 2017)

Cross-Project Change-Proneness Prediction. - Chao Liu 014; Dan Yang 001; Xin Xia 001; Meng Yan 001; Xiaohong Zhang 002 (COMPSAC (1), 2018)

Misclassification Cost-Sensitive Software Defect Prediction. - Ling Xu; Bei Wang; Ling Liu 001; Mo Zhou; Shengping Liao; Meng Yan 001 (IRI, 2018)

TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM. - Can Li; Ling Xu; Meng Yan 001; Jianjun He; Zuli Zhang (KSEM (2), 2019)

Software quality assessment model: a systematic mapping study. - Meng Yan 001; Xin Xia 001; Xiaohong Zhang 002; Ling Xu; Dan Yang 001; Shanping Li (Sci. China Inf. Sci., 2019)

Characterizing and identifying reverted commits. - Meng Yan 001; Xin Xia 001; David Lo 001; Ahmed E. Hassan; Shanping Li (Empir. Softw. Eng., 2019)

A two-phase transfer learning model for cross-project defect prediction. - Chao Liu 014; Dan Yang 001; Xin Xia 001; Meng Yan 001; Xiaohong Zhang 002 (Inf. Softw. Technol., 2019)

Automating Change-Level Self-Admitted Technical Debt Determination. - Meng Yan 001; Xin Xia 001; Emad Shihab; David Lo 001; Jianwei Yin; Xiaohu Yang 001 (IEEE Trans. Software Eng., 2019)

Improving Log-Based Anomaly Detection with Component-Aware Analysis. - Kun Yin; Meng Yan 001; Ling Xu; Zhou Xu 003; Zhao Li; Dan Yang 001; Xiaohong Zhang 002 (ICSME, 2020)

Deep Learning Based Valid Bug Reports Determination and Explanation. - Jianjun He; Ling Xu; Yuanrui Fan; Zhou Xu 003; Meng Yan 001; Yan Lei (ISSRE, 2020)

Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks. - Jianjun He; Ling Xu; Meng Yan 001; Xin Xia 001; Yan Lei (ICPC, 2020)

Improving Code Search with Co-Attentive Representation Learning. - Jianhang Shuai; Ling Xu; Chao Liu 014; Meng Yan 001; Xin Xia 001; Yan Lei (ICPC, 2020)

Automating Just-In-Time Comment Updating. - Zhongxin Liu 002; Xin Xia 001; Meng Yan 001; Shanping Li (ASE, 2020)

DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. - Boao Li; Meng Yan 001; Xin Xia 001; Xing Hu 008; Ge Li 001; David Lo 001 (ESEC/SIGSOFT FSE, 2020)

JITO: a tool for just-in-time defect identification and localization. - Fangcheng Qiu; Meng Yan 001; Xin Xia 001; Xinyu Wang 001; Yuanrui Fan; Ahmed E. Hassan; David Lo 001 (ESEC/SIGSOFT FSE, 2020)

Effort-aware just-in-time defect identification in practice: a case study at Alibaba. - Meng Yan 001; Xin Xia 001; Yuanrui Fan; David Lo 001; Ahmed E. Hassan; Xindong Zhang (ESEC/SIGSOFT FSE, 2020)

Imbalanced metric learning for crashing fault residence prediction. - Zhou Xu 003; Kunsong Zhao; Meng Yan 001; Peipei Yuan; Ling Xu; Yan Lei; Xiaohong Zhang 002 (J. Syst. Softw., 2020)

TagDC: A tag recommendation method for software information sites with a combination of deep learning and collaborative filtering. - Can Li; Ling Xu; Meng Yan 001; Yan Lei (J. Syst. Softw., 2020)

Improving Code Summarization Through Automated Quality Assurance. - Yuxing Hu; Meng Yan 001; Zhongxin Liu 002; Qiuyuan Chen; Bei Wang (ISSRE, 2021)

Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention. - Zhaolin Luo; Ling Xu; Zhou Xu 003; Meng Yan 001; Yan Lei; Can Li (ISSRE, 2021)

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. - Kunsong Zhao; Jin Liu 016; Zhou Xu 003; Li Li 029; Meng Yan 001; Jiaojiao Yu 001; Yuxuan Zhou (ICPC, 2021)

Just-in-time defect prediction for Android apps via imbalanced deep learning model. - Kunsong Zhao; Zhou Xu 003; Meng Yan 001; Yutian Tang; Ming Fan 002; Gemma Catolino (SAC, 2021)

Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. - Zeyu Wang 001; Sheng Huang 001; Zhongxin Liu 002; Meng Yan 001; Xin Xia 001; Bei Wang; Dan Yang 001 (SANER, 2021)

Quality Assurance for Automated Commit Message Generation. - Bei Wang; Meng Yan 001; Zhongxin Liu 002; Ling Xu; Xin Xia 001; Xiaohong Zhang 002; Dan Yang 001 (SANER, 2021)

Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. - Ling Xu; Huanhuan Yang; Chao Liu 014; Jianhang Shuai; Meng Yan 001; Yan Lei; Zhou Xu 003 (SANER, 2021)

Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair. - Deheng Yang; Yan Lei; Xiaoguang Mao; David Lo 001; Huan Xie; Meng Yan 001 (SANER, 2021)

Co-attentive representation learning for web services classification. - Bin Tang; Meng Yan 001; Neng Zhang 001; Ling Xu; Xiaohong Zhang 002; Haijun Ren (Expert Syst. Appl., 2021)

Feature selection and embedding based cross project framework for identifying crashing fault residence. - Zhou Xu 003; Tao Zhang 001; Jacky Keung; Meng Yan 001; Xiapu Luo; Xiaohong Zhang 002; Ling Xu; Yutian Tang (Inf. Softw. Technol., 2021)

A study of effectiveness of deep learning in locating real faults. - Zhuo Zhang 007; Yan Lei; Xiaoguang Mao; Meng Yan 001; Ling Xu; Xiaohong Zhang 002 (Inf. Softw. Technol., 2021)

A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models. - Kunsong Zhao; Zhou Xu 003; Meng Yan 001; Tao Zhang 001; Dan Yang 001; Wei Li 121 (Inf. Softw. Technol., 2021)

A comprehensive comparative study of clustering-based unsupervised defect prediction models. - Zhou Xu 003; Li Li 029; Meng Yan 001; Jin Liu 016; Xiapu Luo; John Grundy 001; Yifeng Zhang; Xiaohong Zhang 002 (J. Syst. Softw., 2021)

A Probability Distribution and Location-aware ResNet Approach for QoS Prediction. - Wenyan Zhang; Ling Xu; Meng Yan 001; Ziliang Wang; Chunlei Fu (J. Web Eng., 2021)

Improving deep-learning-based fault localization with resampling. - Zhuo Zhang 007; Yan Lei; Xiaoguang Mao; Meng Yan 001; Ling Xu; Junhao Wen 001 (J. Softw. Evol. Process., 2021)

Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps. - Kunsong Zhao; Zhou Xu 003; Tao Zhang 001; Yutian Tang; Meng Yan 001 (IEEE Trans. Reliab., 2021)

DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems. - Ziliang Wang; Shiyi Zhu; Jianguo Li; Wei Jiang; K. K. Ramakrishnan; Yangfei Zheng; Meng Yan 001; Xiaohong Zhang 002; Alex X. Liu (SoCC, 2022)

A Universal Data Augmentation Approach for Fault Localization. - Huan Xie; Yan Lei; Meng Yan 001; Yue Yu 001; Xin Xia 001; Xiaoguang Mao (ICSE, 2022)

Improving Fault Localization Using Model-domain Synthesized Failing Test Generation. - Zhuo Zhang 007; Yan Lei; Xiaoguang Mao; Meng Yan 001; Xin Xia 001 (ICSME, 2022)

Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data. - Yufu Chen; Meng Yan 001; Dan Yang 001; Xiaohong Zhang 002; Ziliang Wang (ICWS, 2022)

A Naming Pattern Based Approach for Method Name Recommendation. - Yanping Yang; Ling Xu; Meng Yan 001; Zhou Xu 003; Zhongyang Deng (ISSRE, 2022)

Unified abstract syntax tree representation learning for cross-language program classification. - Kesu Wang; Meng Yan 001; He Zhang; Haibo Hu 002 (ICPC, 2022)

Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. - Zhuo Zhang 007; Yan Lei; Meng Yan 001; Yue Yu 001; Jiachi Chen; Shangwen Wang; Xiaoguang Mao (ASE, 2022)

Investigating and improving log parsing in practice. - Ying Fu; Meng Yan 001; Jian Xu; Jianguo Li; Zhongxin Liu 002; Xiaohong Zhang 002; Dan Yang 001 (ESEC/SIGSOFT FSE, 2022)

CodeMatcher: a tool for large-scale code search based on query semantics matching. - Chao Liu 014; Xuanlin Bao; Xin Xia 001; Meng Yan 001; David Lo 001; Ting Zhang 011 (ESEC/SIGSOFT FSE, 2022)

Fine-grained Co-Attentive Representation Learning for Semantic Code Search. - Zhongyang Deng; Ling Xu; Chao Liu 014; Meng Yan 001; Zhou Xu 003; Yan Lei (SANER, 2022)

BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization. - Yan Lei; Chunyan Liu; Huan Xie; Sheng Huang 001; Meng Yan 001; Zhou Xu 003 (SANER, 2022)

A compositional model for effort-aware Just-In-Time defect prediction on android apps. - Kunsong Zhao; Zhou Xu 003; Meng Yan 001; Lei Xue 001; Wei Li 121; Gemma Catolino (IET Softw., 2022)

HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction. - Ziliang Wang; Xiaohong Zhang 002; Meng Yan 001; Ling Xu; Dan Yang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

The Impact of Duplicate Changes on Just-in-Time Defect Prediction. - Ruifeng Duan 002; Haitao Xu 001; Yuanrui Fan; Meng Yan 001 (IEEE Trans. Reliab., 2022)

Feature-FL: Feature-Based Fault Localization. - Yan Lei; Huan Xie; Tao Zhang 001; Meng Yan 001; Zhou Xu 003; Chengnian Sun (IEEE Trans. Reliab., 2022)

Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. - Zhou Xu 003; Kunsong Zhao; Tao Zhang 001; Chunlei Fu; Meng Yan 001; Zhiwen Xie; Xiaohong Zhang 002; Gemma Catolino (IEEE Trans. Reliab., 2022)

Multi-Dimension Convolutional Neural Network for Bug Localization. - Bei Wang; Ling Xu; Meng Yan 001; Chao Liu 014; Ling Liu 001 (IEEE Trans. Serv. Comput., 2022)

Just-In-Time Defect Identification and Localization: A Two-Phase Framework. - Meng Yan 001; Xin Xia 001; Yuanrui Fan; Ahmed E. Hassan; David Lo 001; Shanping Li (IEEE Trans. Software Eng., 2022)

An unsupervised cross project model for crashing fault residence identification. - Xiao Liu 004; Zhou Xu 003; Dan Yang 001; Meng Yan 001; Weihan Zhang; Haohan Zhao; Lei Xue 001; Ming Fan 002 (IET Softw., 2022)

Intelligent Deposit Product Recommendation for Flexible Employees of Housing Provident Fund Based on Random Forest. - Xue Chen; Yuxing Hu; Xiaoxia Hong; Zhaohan Zhu; Yang Song; Juan Liu; Peng Song; Wei Xiong; Meng Yan 001 (FAIML, 2023)

A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction. - Tongxin Lu; Xiaohong Zhang 002; Ziliang Wang; Meng Yan 001 (ICWS, 2023)

Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. - Weifeng Sun; Hongyan Li; Meng Yan 001; Yan Lei; Hongyu Zhang 002 (ASE, 2023)

Just-In-Time Method Name Updating With Heuristics and Neural Model. - Zhenting Guo; Meng Yan 001; Hongyan Li; Zhezhe Chen; Weifeng Sun (QRS, 2023)

An Adaptive Partition-Based Approach for Adaptive Random Testing on Real Programs. - Yisheng Xia; Weifeng Sun; Meng Yan 001; Lei Xu; Dan Yang 001 (SANER, 2023)

Improving ChatGPT Prompt for Code Generation. - Chao Liu 014; Xuanlin Bao; Hongyu Zhang 002; Neng Zhang 001; Haibo Hu 002; Xiaohong Zhang 002; Meng Yan 001 (CoRR, 2023)

Probabilistic Deep Supervision Network: A Noise-Resilient Approach for QoS Prediction. - Ziliang Wang; Xiaohong Zhang 002; Sheng Huang 001; Wei Zhang; Dan Yang 001; Meng Yan 001 (CoRR, 2023)

A Dual Latent State Learning Approach: Exploiting Regional Network Similarities for QoS Prediction. - Ziliang Wang; Xiaohong Zhang 002; Meng Yan 001 (CoRR, 2023)

An empirical study of the impact of log parsers on the performance of log-based anomaly detection. - Ying Fu; Meng Yan 001; Zhou Xu 003; Xin Xia 001; Xiaohong Zhang 002; Dan Yang 001 (Empir. Softw. Eng., 2023)

Just-In-Time Obsolete Comment Detection and Update. - Zhongxin Liu 002; Xin Xia 001; David Lo 001; Meng Yan 001; Shanping Li (IEEE Trans. Software Eng., 2023)

The impact of class imbalance techniques on crashing fault residence prediction models. - Kunsong Zhao; Zhou Xu 003; Meng Yan 001; Tao Zhang 001; Lei Xue 001; Ming Fan 002; Jacky Keung (Empir. Softw. Eng., 2023)

MetaFL: Metamorphic fault localisation using weakly supervised deep learning. - Lingfeng Fu; Yan Lei; Meng Yan 001; Ling Xu; Zhou Xu 003; Xiaohong Zhang 002 (IET Softw., 2023)

Influential Global and Local Contexts Guided Trace Representation for Fault Localization. - Zhuo Zhang 007; Yan Lei; Ting Su 001; Meng Yan 001; Xiaoguang Mao; Yue Yu 001 (ACM Trans. Softw. Eng. Methodol., 2023)

Context-Aware Neural Fault Localization. - Zhuo Zhang 007; Yan Lei; Xiaoguang Mao; Meng Yan 001; Xin Xia 001; David Lo 001 (IEEE Trans. Software Eng., 2023)

A first look at bug report templates on GitHub. - Hongyan Li; Meng Yan 001; Weifeng Sun; Xiao Liu 004; Yunsong Wu (J. Syst. Softw., 2023)

Revisiting the Identification of the Co-evolution of Production and Test Code. - Weifeng Sun; Meng Yan 001; Zhongxin Liu 002; Xin Xia 001; Yan Lei; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2023)

Robust Test Selection for Deep Neural Networks. - Weifeng Sun; Meng Yan 001; Zhongxin Liu 002; David Lo 001 (IEEE Trans. Software Eng., 2023)

MSAnomaly: Time Series Anomaly Detection with Multi-scale Augmentation and Fusion. - Tao Yin; Zhibin Zhang; Shikang Hou; Huan Zhao; Lijiao Zheng; Yifei Zhou; Jin Xie; Meng Yan 001 (ADMA (4), 2024)

A study of data-driven fault diagnosis and early warning systems for power batteries in new energy vehicles. - Qiang Li; Xinqiang Ma; Meng Yan 001 (EITCE, 2024)

DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection. - Zhonghao Jiang; Weifeng Sun; Xiaoyan Gu; Jiaxin Wu; Tao Wen; Haibo Hu 002; Meng Yan 001 (Internetware, 2024)

CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. - Dong Li 009; Meng Yan 001; Yaosheng Zhang; Zhongxin Liu 002; Chao Liu 014; Xiaohong Zhang 002; Ting Chen 002; David Lo 001 (ISSTA, 2024)

Combining Coverage and Expert Features with Semantic Representation for Coincidental Correctness Detection. - Huan Xie; Yan Lei; Maojin Li; Meng Yan 001; Sheng Zhang (ASE, 2024)

AW4C: A Commit-Aware C Dataset for Actionable Warning Identification. - Zhipeng Liu; Meng Yan 001; Zhipeng Gao 002; Dong Li 009; Xiaohong Zhang 002; Dan Yang 001 (MSR, 2024)

An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions. - Chao Liu 014; Xindong Zhang; Hongyu Zhang 002; Zhiyuan Wan; Zhan Huang; Meng Yan 001 (SIGSOFT FSE Companion, 2024)

Guiding ChatGPT for Better Code Generation: An Empirical Study. - Chao Liu 014; Xuanlin Bao; Hongyu Zhang 002; Neng Zhang 001; Haibo Hu 002; Xiaohong Zhang 002; Meng Yan 001 (SANER, 2024)

M2CVD: Multi-Model Collaboration for Code Vulnerability Detection. - Ziliang Wang; Ge Li 001; Jia Li 012; Meng Yan 001; Yingfei Xiong 001; Zhi Jin (CoRR, 2024)

Fixing Code Generation Errors for Large Language Models. - Hao Wen; Yueheng Zhu; Chao Liu 014; Xiaoxue Ren; Weiwei Du; Meng Yan 001 (CoRR, 2024)

End-to-end log statement generation at block-level. - Ying Fu; Meng Yan 001; Pinjia He; Chao Liu 014; Xiaohong Zhang 002; Dan Yang 001 (J. Syst. Softw., 2024)

Code semantic enrichment for deep code search. - Zhongyang Deng; Ling Xu; Chao Liu 014; Luwen Huangfu; Meng Yan 001 (J. Syst. Softw., 2024)

Understanding the implementation issues when using deep learning frameworks. - Chao Liu 014; Runfeng Cai; Yiqun Zhou; Xin Chen; Haibo Hu 002; Meng Yan 001 (Inf. Softw. Technol., 2024)

DeepScaling: Autoscaling Microservices With Stable CPU Utilization for Large Scale Production Cloud Systems. - Ziliang Wang; Shiyi Zhu; Jianguo Li; Wei Jiang; K. K. Ramakrishnan; Meng Yan 001; Xiaohong Zhang 002; Alex X. Liu (IEEE/ACM Trans. Netw., 2024)

Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning. - Weifeng Sun; Zhenting Guo; Meng Yan 001; Zhongxin Liu 002; Yan Lei; Hongyu Zhang 002 (IEEE Trans. Software Eng., 2024)

Towards More Precise Coincidental Correctness Detection With Deep Semantic Learning. - Huan Xie; Yan Lei; Meng Yan 001; Shanshan Li 001; Xiaoguang Mao; Yue Yu 001; David Lo 001 (IEEE Trans. Software Eng., 2024)

Iterative Generation of Adversarial Example for Deep Code Models. - Li Huang; Weifeng Sun; Meng Yan 001 (ICSE, 2025)

CoSEFA: An LLM-Based Programming Assistant for Secure Code Generation via Supervised Co-Decoding. - Xuan He; Dong Li 009; Hao Wen; Yueheng Zhu; Chao Liu 014; Meng Yan 001; Hongyu Zhang 002 (SIGSOFT FSE Companion, 2025)

GNPSum: A code summarization enhancement framework based on Graph Node Position. - Haogang Cheng; Ling Xu; Luwen Huangfu; Chao Liu 014; Meng Yan 001; Yan Lei (Inf. Softw. Technol., 2025)

Feature Noise Resilient for QoS Prediction With Probabilistic Deep Supervision. - Ziliang Wang; Xiaohong Zhang 002; Ze Shi Li; Sheng Huang 001; Meng Yan 001 (IEEE Trans. Serv. Comput., 2025)

Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing. - Li Huang; Weifeng Sun; Meng Yan 001; Zhongxin Liu 002; Yan Lei; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

CoSIL: Software Issue Localization via LLM-Driven Code Repository Graph Searching. - Zhonghao Jiang; Xiaoxue Ren; Meng Yan 001; Wei Jiang; Yong Li; Zhongxin Liu 002 (CoRR, 2025)

Exploring Automated Assertion Generation via Large Language Models. - Quanjun Zhang; Weifeng Sun; Chunrong Fang; Bowen Yu; Hongyan Li; Meng Yan 001; Jianyi Zhou; Zhenyu Chen 001 (ACM Trans. Softw. Eng. Methodol., 2025)

QoSBERT: An Uncertainty-Aware Approach based on Pre-trained Language Models for Service Quality Prediction. - Ziliang Wang; Xiaohong Zhang 002; Ze Shi Li; Meng Yan 001 (CoRR, 2025)

Retrieval-Augmented Fine-Tuning for Improving Retrieve-and-Edit Based Assertion Generation. - Hongyan Li; Weifeng Sun; Meng Yan 001; Ling Xu; Qiang Li; Xiaohong Zhang 002; Hongyu Zhang 002 (IEEE Trans. Software Eng., 2025)

DeepVec: State-Vector Aware Test Case Selection for Enhancing Recurrent Neural Network. - Zhonghao Jiang; Meng Yan 001; Li Huang; Weifeng Sun; Chao Liu 014; Song Sun; David Lo 001 (IEEE Trans. Software Eng., 2025)

Tab: template-aware bug report title generation via two-phase fine-tuned models. - Xiao Liu 004; Yinkang Xu; Weifeng Sun; Naiqi Huang; Song Sun; Qiang Li; Dan Yang 001; Meng Yan 001 (Autom. Softw. Eng., 2025)