Meng Yan - RankMe

127 papers A* 8A 25C 2Misc 2Journal 72Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation. AAAI Shen Li, Li Huang, Shaoxiong Zhan, Weifeng Sun, Tao Yin, Zhongxin Liu, Meng Yan
2026	J	`jnl`	Mutants Will Tell: Statistical Mutation-Based Multiple Fault Localization for Deep Learning Programs. IEEE Trans. Software Eng. Huan Xie, Zhengxiong Deng, Yan Lei, Maojin Li, Meng Yan, David Lo
2026	J	`jnl`	Steer Your Model: Secure Code Generation With Contrastive Decoding. IEEE Trans. Software Eng. Li Huang, Meng Yan, Tao Yin, Weifeng Sun, Zhongxin Liu, Hongyu Zhang, David Lo
2026	J	`jnl`	Subsequence heterogeneity contrastive learning for time series anomaly detection. Inf. Sci. Zhibin Zhang, Xiaohong Zhang, Qiang Li, Chun Huang, Tao Yin, Meng Yan
2025	J	`jnl`	A Region-Aware Dual Latent State Mining Framework for Service Recommendation in Large-Scale Service Networks. IEEE Trans. Knowl. Data Eng. Ziliang Wang, Xiaohong Zhang, Ze Shi Li, Meng Yan
2025	—	`conf`	CoSEFA: An LLM-Based Programming Assistant for Secure Code Generation via Supervised Co-Decoding. SIGSOFT FSE Companion Xuan He, Dong Li, Hao Wen, Yueheng Zhu, Chao Liu, Meng Yan, Hongyu Zhang
2025	J	`jnl`	CoSIL: Software Issue Localization via LLM-Driven Code Repository Graph Searching. CoRR Zhonghao Jiang, Xiaoxue Ren, Meng Yan, Wei Jiang, Yong Li, Zhongxin Liu
2025	J	`jnl`	DeepVec: State-Vector Aware Test Case Selection for Enhancing Recurrent Neural Network. IEEE Trans. Software Eng. Zhonghao Jiang, Meng Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo
2025	J	`jnl`	Exploring Automated Assertion Generation via Large Language Models. ACM Trans. Softw. Eng. Methodol. Quanjun Zhang, Weifeng Sun, Chunrong Fang, Bowen Yu, Hongyan Li, Meng Yan, Jianyi Zhou, Zhenyu Chen
2025	J	`jnl`	Feature Noise Resilient for QoS Prediction With Probabilistic Deep Supervision. IEEE Trans. Serv. Comput. Ziliang Wang, Xiaohong Zhang, Ze Shi Li, Sheng Huang, Meng Yan
2025	J	`jnl`	GNPSum: A code summarization enhancement framework based on Graph Node Position. Inf. Softw. Technol. Haogang Cheng, Ling Xu, Luwen Huangfu, Chao Liu, Meng Yan, Yan Lei
2025	J	`jnl`	Improving Co-Decoding Based Security Hardening of Code LLMs Leveraging Knowledge Distillation. IEEE Trans. Software Eng. Dong Li, Shanfu Shu, Meng Yan, Zhongxin Liu, Chao Liu, Xiaohong Zhang, David Lo
2025	J	`jnl`	Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation. CoRR Shen Li, Li Huang, Shaoxiong Zhan, Weifeng Sun, Tao Yin, Zhongxin Liu, Meng Yan
2025	A*	`conf`	Issue Localization via LLM-Driven Iterative Code Graph Searching. ASE Zhonghao Jiang, Xiaoxue Ren, Meng Yan, Wei Jiang, Yong Li, Zhongxin Liu
2025	A*	`conf`	Iterative Generation of Adversarial Example for Deep Code Models. ICSE Li Huang, Weifeng Sun, Meng Yan
2025	J	`jnl`	MetaMFL: Metamorphic Multiple Fault Localization Without Test Oracles. IEEE Trans. Reliab. Lingfeng Fu, Zhenyu Wu, Yan Lei, Meng Yan
2025	J	`jnl`	MoRA: On-the-fly Molecule-aware Low-Rank Adaptation Framework for LLM-based Multi-Modal Molecular Assistant. CoRR Tao Yin, Xiaohong Zhang, Jiacheng Zhang, Li Huang, Zhibin Zhang, Yuansong Zeng, Jin Xie, Meng Yan
2025	J	`jnl`	Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing. ACM Trans. Softw. Eng. Methodol. Li Huang, Weifeng Sun, Meng Yan, Zhongxin Liu, Yan Lei, David Lo
2025	J	`jnl`	QoSBERT: An Uncertainty-Aware Approach Based on Pretrained Language Models for Service Quality Prediction. IEEE Trans. Serv. Comput. Ziliang Wang, Xiaohong Zhang, Ze Shi Li, Meng Yan
2025	J	`jnl`	QoSBERT: An Uncertainty-Aware Approach based on Pre-trained Language Models for Service Quality Prediction. CoRR Ziliang Wang, Xiaohong Zhang, Ze Shi Li, Meng Yan
2025	J	`jnl`	Retrieval-Augmented Fine-Tuning for Improving Retrieve-and-Edit Based Assertion Generation. IEEE Trans. Software Eng. Hongyan Li, Weifeng Sun, Meng Yan, Ling Xu, Qiang Li, Xiaohong Zhang, Hongyu Zhang
2025	J	`jnl`	ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection. CoRR Tao Yin, Xiaohong Zhang, Shaochen Fu, Zhibin Zhang, Li Huang, Yiyuan Yang, Kaixiang Yang, Meng Yan
2025	J	`jnl`	Tab: template-aware bug report title generation via two-phase fine-tuned models. Autom. Softw. Eng. Xiao Liu, Yinkang Xu, Weifeng Sun, Naiqi Huang, Song Sun, Qiang Li, Dan Yang, Meng Yan
2024	—	`conf`	A study of data-driven fault diagnosis and early warning systems for power batteries in new energy vehicles. EITCE Qiang Li, Xinqiang Ma, Meng Yan
2024	A	`conf`	AW4C: A Commit-Aware C Dataset for Actionable Warning Identification. MSR Zhipeng Liu, Meng Yan, Zhipeng Gao, Dong Li, Xiaohong Zhang, Dan Yang
2024	—	`conf`	An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions. SIGSOFT FSE Companion Chao Liu, Xindong Zhang, Hongyu Zhang, Zhiyuan Wan, Zhan Huang, Meng Yan
2024	A	`conf`	CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. ISSTA Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo
2024	J	`jnl`	Code semantic enrichment for deep code search. J. Syst. Softw. Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan
2024	A*	`conf`	Combining Coverage and Expert Features with Semantic Representation for Coincidental Correctness Detection. ASE Huan Xie, Yan Lei, Maojin Li, Meng Yan, Sheng Zhang
2024	—	`conf`	DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection. Internetware Zhonghao Jiang, Weifeng Sun, Xiaoyan Gu, Jiaxin Wu, Tao Wen, Haibo Hu, Meng Yan
2024	J	`jnl`	DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection. CoRR Zhonghao Jiang, Weifeng Sun, Xiaoyan Gu, Jiaxin Wu, Tao Wen, Haibo Hu, Meng Yan
2024	J	`jnl`	DeepScaling: Autoscaling Microservices With Stable CPU Utilization for Large Scale Production Cloud Systems. IEEE/ACM Trans. Netw. Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Meng Yan, Xiaohong Zhang, Alex X. Liu
2024	J	`jnl`	End-to-end log statement generation at block-level. J. Syst. Softw. Ying Fu, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang
2024	J	`jnl`	Fixing Code Generation Errors for Large Language Models. CoRR Hao Wen, Yueheng Zhu, Chao Liu, Xiaoxue Ren, Weiwei Du, Meng Yan
2024	A	`conf`	Guiding ChatGPT for Better Code Generation: An Empirical Study. SANER Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan
2024	J	`jnl`	M2CVD: Multi-Model Collaboration for Code Vulnerability Detection. CoRR Ziliang Wang, Ge Li, Jia Li, Meng Yan, Yingfei Xiong, Zhi Jin
2024	—	`conf`	MSAnomaly: Time Series Anomaly Detection with Multi-scale Augmentation and Fusion. ADMA (4) Tao Yin, Zhibin Zhang, Shikang Hou, Huan Zhao, Lijiao Zheng, Yifei Zhou, Jin Xie, Meng Yan
2024	J	`jnl`	Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning. IEEE Trans. Software Eng. Weifeng Sun, Zhenting Guo, Meng Yan, Zhongxin Liu, Yan Lei, Hongyu Zhang
2024	J	`jnl`	Towards More Precise Coincidental Correctness Detection With Deep Semantic Learning. IEEE Trans. Software Eng. Huan Xie, Yan Lei, Meng Yan, Shanshan Li, Xiaoguang Mao, Yue Yu, David Lo
2024	J	`jnl`	Understanding the implementation issues when using deep learning frameworks. Inf. Softw. Technol. Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan
2023	J	`jnl`	A Dual Latent State Learning Approach: Exploiting Regional Network Similarities for QoS Prediction. CoRR Ziliang Wang, Xiaohong Zhang, Meng Yan
2023	A	`conf`	A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction. ICWS Tongxin Lu, Xiaohong Zhang, Ziliang Wang, Meng Yan
2023	J	`jnl`	A first look at bug report templates on GitHub. J. Syst. Softw. Hongyan Li, Meng Yan, Weifeng Sun, Xiao Liu, Yunsong Wu
2023	A	`conf`	An Adaptive Partition-Based Approach for Adaptive Random Testing on Real Programs. SANER Yisheng Xia, Weifeng Sun, Meng Yan, Lei Xu, Dan Yang
2023	J	`jnl`	An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang
2023	J	`jnl`	Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo
2023	J	`jnl`	Improving ChatGPT Prompt for Code Generation. CoRR Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan
2023	J	`jnl`	Influential Global and Local Contexts Guided Trace Representation for Fault Localization. ACM Trans. Softw. Eng. Methodol. Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu
2023	—	`conf`	Intelligent Deposit Product Recommendation for Flexible Employees of Housing Provident Fund Based on Random Forest. FAIML Xue Chen, Yuxing Hu, Xiaoxia Hong, Zhaohan Zhu, Yang Song, Juan Liu, Peng Song, Wei Xiong, Meng Yan
2023	C	`conf`	Just-In-Time Method Name Updating With Heuristics and Neural Model. QRS Zhenting Guo, Meng Yan, Hongyan Li, Zhezhe Chen, Weifeng Sun
2023	J	`jnl`	Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li
2023	J	`jnl`	MetaFL: Metamorphic fault localisation using weakly supervised deep learning. IET Softw. Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang
2023	J	`jnl`	Probabilistic Deep Supervision Network: A Noise-Resilient Approach for QoS Prediction. CoRR Ziliang Wang, Xiaohong Zhang, Sheng Huang, Wei Zhang, Dan Yang, Meng Yan
2023	A*	`conf`	Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. ASE Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang
2023	J	`jnl`	Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. CoRR Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang
2023	J	`jnl`	Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo
2023	J	`jnl`	Robust Test Selection for Deep Neural Networks. IEEE Trans. Software Eng. Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo
2023	J	`jnl`	The impact of class imbalance techniques on crashing fault residence prediction models. Empir. Softw. Eng. Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Lei Xue, Ming Fan, Jacky Keung
2022	A	`conf`	A Naming Pattern Based Approach for Method Name Recommendation. ISSRE Yanping Yang, Ling Xu, Meng Yan, Zhou Xu, Zhongyang Deng
2022	A*	`conf`	A Universal Data Augmentation Approach for Fault Localization. ICSE Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao
2022	J	`jnl`	A compositional model for effort-aware Just-In-Time defect prediction on android apps. IET Softw. Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino
2022	J	`jnl`	An unsupervised cross project model for crashing fault residence identification. IET Softw. Xiao Liu, Zhou Xu, Dan Yang, Meng Yan, Weihan Zhang, Haohan Zhao, Lei Xue, Ming Fan
2022	A	`conf`	BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization. SANER Yan Lei, Chunyan Liu, Huan Xie, Sheng Huang, Meng Yan, Zhou Xu
2022	—	`conf`	CodeMatcher: a tool for large-scale code search based on query semantics matching. ESEC/SIGSOFT FSE Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang
2022	A	`conf`	Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data. ICWS Yufu Chen, Meng Yan, Dan Yang, Xiaohong Zhang, Ziliang Wang
2022	—	`conf`	DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems. SoCC Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu
2022	J	`jnl`	Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. IEEE Trans. Reliab. Zhou Xu, Kunsong Zhao, Tao Zhang, Chunlei Fu, Meng Yan, Zhiwen Xie, Xiaohong Zhang, Gemma Catolino
2022	J	`jnl`	Feature-FL: Feature-Based Fault Localization. IEEE Trans. Reliab. Yan Lei, Huan Xie, Tao Zhang, Meng Yan, Zhou Xu, Chengnian Sun
2022	A	`conf`	Fine-grained Co-Attentive Representation Learning for Semantic Code Search. SANER Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei
2022	J	`jnl`	HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction. IEEE Trans. Parallel Distributed Syst. Ziliang Wang, Xiaohong Zhang, Meng Yan, Ling Xu, Dan Yang
2022	A	`conf`	Improving Fault Localization Using Model-domain Synthesized Failing Test Generation. ICSME Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia
2022	—	`conf`	Investigating and improving log parsing in practice. ESEC/SIGSOFT FSE Ying Fu, Meng Yan, Jian Xu, Jianguo Li, Zhongxin Liu, Xiaohong Zhang, Dan Yang
2022	J	`jnl`	Just-In-Time Defect Identification and Localization: A Two-Phase Framework. IEEE Trans. Software Eng. Meng Yan, Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li
2022	J	`jnl`	Multi-Dimension Convolutional Neural Network for Bug Localization. IEEE Trans. Serv. Comput. Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu
2022	A*	`conf`	Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. ASE Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao
2022	J	`jnl`	The Impact of Duplicate Changes on Just-in-Time Defect Prediction. IEEE Trans. Reliab. Ruifeng Duan, Haitao Xu, Yuanrui Fan, Meng Yan
2022	J	`jnl`	Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification. CoRR Kesu Wang, Meng Yan, He Zhang, Haibo Hu
2022	A	`conf`	Unified abstract syntax tree representation learning for cross-language program classification. ICPC Kesu Wang, Meng Yan, He Zhang, Haibo Hu
2021	J	`jnl`	A Probability Distribution and Location-aware ResNet Approach for QoS Prediction. J. Web Eng. Wenyan Zhang, Ling Xu, Meng Yan, Ziliang Wang, Chunlei Fu
2021	J	`jnl`	A comprehensive comparative study of clustering-based unsupervised defect prediction models. J. Syst. Softw. Zhou Xu, Li Li, Meng Yan, Jin Liu, Xiapu Luo, John Grundy, Yifeng Zhang, Xiaohong Zhang
2021	J	`jnl`	A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models. Inf. Softw. Technol. Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Dan Yang, Wei Li
2021	J	`jnl`	A study of effectiveness of deep learning in locating real faults. Inf. Softw. Technol. Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Xiaohong Zhang
2021	J	`jnl`	Co-attentive representation learning for web services classification. Expert Syst. Appl. Bin Tang, Meng Yan, Neng Zhang, Ling Xu, Xiaohong Zhang, Haijun Ren
2021	A	`conf`	Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention. ISSRE Zhaolin Luo, Ling Xu, Zhou Xu, Meng Yan, Yan Lei, Can Li
2021	J	`jnl`	Feature selection and embedding based cross project framework for identifying crashing fault residence. Inf. Softw. Technol. Zhou Xu, Tao Zhang, Jacky Keung, Meng Yan, Xiapu Luo, Xiaohong Zhang, Ling Xu, Yutian Tang
2021	A	`conf`	Improving Code Summarization Through Automated Quality Assurance. ISSRE Yuxing Hu, Meng Yan, Zhongxin Liu, Qiuyuan Chen, Bei Wang
2021	J	`jnl`	Improving deep-learning-based fault localization with resampling. J. Softw. Evol. Process. Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Junhao Wen
2021	A	`conf`	Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair. SANER Deheng Yang, Yan Lei, Xiaoguang Mao, David Lo, Huan Xie, Meng Yan
2021	Misc	`conf`	Just-in-time defect prediction for Android apps via imbalanced deep learning model. SAC Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, Gemma Catolino
2021	A	`conf`	Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. SANER Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
2021	J	`jnl`	Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. CoRR Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
2021	A	`conf`	Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. ICPC Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou
2021	J	`jnl`	Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. CoRR Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou
2021	A	`conf`	Quality Assurance for Automated Commit Message Generation. SANER Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang
2021	J	`jnl`	Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps. IEEE Trans. Reliab. Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang, Meng Yan
2021	A	`conf`	Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. SANER Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, Zhou Xu
2020	J	`jnl`	A Probability Distribution and Location-aware ResNet Approach for QoS Prediction. CoRR Wenyan Zhang, Ling Xu, Meng Yan, Ziliang Wang, Chunlei Fu
2020	A*	`conf`	Automating Just-In-Time Comment Updating. ASE Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li
2020	A	`conf`	Deep Learning Based Valid Bug Reports Determination and Explanation. ISSRE Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei
2020	—	`conf`	DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo
2020	A	`conf`	Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks. ICPC Jianjun He, Ling Xu, Meng Yan, Xin Xia, Yan Lei
2020	—	`conf`	Effort-aware just-in-time defect identification in practice: a case study at Alibaba. ESEC/SIGSOFT FSE Meng Yan, Xin Xia, Yuanrui Fan, David Lo, Ahmed E. Hassan, Xindong Zhang
2020	J	`jnl`	Imbalanced metric learning for crashing fault residence prediction. J. Syst. Softw. Zhou Xu, Kunsong Zhao, Meng Yan, Peipei Yuan, Ling Xu, Yan Lei, Xiaohong Zhang
2020	A	`conf`	Improving Code Search with Co-Attentive Representation Learning. ICPC Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei
2020	A	`conf`	Improving Log-Based Anomaly Detection with Component-Aware Analysis. ICSME Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, Xiaohong Zhang
2020	—	`conf`	JITO: a tool for just-in-time defect identification and localization. ESEC/SIGSOFT FSE Fangcheng Qiu, Meng Yan, Xin Xia, Xinyu Wang, Yuanrui Fan, Ahmed E. Hassan, David Lo
2020	J	`jnl`	TagDC: A tag recommendation method for software information sites with a combination of deep learning and collaborative filtering. J. Syst. Softw. Can Li, Ling Xu, Meng Yan, Yan Lei
2019	J	`jnl`	A two-phase transfer learning model for cross-project defect prediction. Inf. Softw. Technol. Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang
2019	J	`jnl`	Automating Change-Level Self-Admitted Technical Debt Determination. IEEE Trans. Software Eng. Meng Yan, Xin Xia, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang
2019	J	`jnl`	Characterizing and identifying reverted commits. Empir. Softw. Eng. Meng Yan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li
2019	J	`jnl`	Software quality assessment model: a systematic mapping study. Sci. China Inf. Sci. Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Shanping Li
2019	—	`conf`	TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM. KSEM (2) Can Li, Ling Xu, Meng Yan, Jianjun He, Zuli Zhang
2018	—	`conf`	Cross-Project Change-Proneness Prediction. COMPSAC (1) Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang
2018	Misc	`conf`	Misclassification Cost-Sensitive Software Defect Prediction. IRI Ling Xu, Bei Wang, Ling Liu, Mo Zhou, Shengping Liao, Meng Yan
2017	—	`conf`	A Systematic Mapping Study of Quality Assessment Models for Software Products. SATE Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang
2017	J	`jnl`	Automated change-prone class prediction on unlabeled dataset using unsupervised method. Inf. Softw. Technol. Meng Yan, Xiaohong Zhang, Chao Liu, Ling Xu, Mengning Yang, Dan Yang
2017	A	`conf`	Automating Aggregation for Software Quality Modeling. ICSME Meng Yan, Xin Xia, Xiaohong Zhang, Dan Yang, Ling Xu
2017	A	`conf`	File-Level Defect Prediction: Unsupervised vs. Supervised Models. ESEM Meng Yan, Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang
2017	—	`conf`	Learning to aggregate: an automated aggregation method for software quality model. ICSE (Companion Volume) Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia
2017	—	`conf`	Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF. COMPSAC (1) Meng Yan, Xiaohong Zhang, Ling Xu, Haibo Hu, Song Sun, Xin Xia
2016	J	`jnl`	A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis. Inf. Softw. Technol. Meng Yan, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer
2016	J	`jnl`	Automatically classifying software changes via discriminative topic model: Supporting multi-category and cross-project. J. Syst. Softw. Meng Yan, Ying Fu, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer
2016	—	`conf`	Duplication Detection for Software Bug Reports based on Topic Model. ICSS Jie Zou, Ling Xu, Mengning Yang, Meng Yan, Dan Yang, Xiaohong Zhang
2016	C	`conf`	Self-learning Change-prone Class Prediction. SEKE Meng Yan, Mengning Yang, Chao Liu, Xiaohong Zhang
2016	J	`jnl`	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). 计算机科学 Fei Li, Xiaohong Zhang, Chenqiu Zhao, Meng Yan
2015	J	`jnl`	Automated classification of software change messages by semi-supervised Latent Dirichlet Allocation. Inf. Softw. Technol. Ying Fu, Meng Yan, Xiaohong Zhang, Ling Xu, Dan Yang, Jeffrey D. Kymer
2015	A	`conf`	Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis. MSR Jie Zou, Ling Xu, Weikang Guo, Meng Yan, Dan Yang, Xiaohong Zhang