| 2025 | APSEC | HGTRTracer: Advancing Requirements-Code Traceability with LLM-Augmented Attribution Reasoning and Heterogeneous Graph Transformer. | Huan Jin, Yingkai Yuan, Bangchao Wang, Hongyan Wan, Zhiyuan Zou |
| 2025 | SEKE | How to enhance requirements-to-code traceability? From the perspective of project artifacts. | Huan Jin, Yingkai Yuan, Peng Ye, Hongyan Wan, Zhiyuan Zou, Bangchao Wang |
| 2024 | APSEC | FRELinker: A Novel Issue-Commit Link Recovery Model Based on Feature Refinement and Expansion with Multi-Classifier Fusion. | Bangchao Wang, Xinyu He, Hongyan Wan, Xiaoxiao Li, Jiaxu Zhu, Yukun Cao |
| 2024 | APSEC | HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery. | Zhiyuan Zou, Bangchao Wang, Hongyan Wan, Huan Jin, Xiaoxiao Li, Yukun Cao |
| 2024 | IJCNN | MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery. | Xingfu Li, Bangchao Wang, Hongyan Wan, Yuanbang Li, Han Jiang, Yang Deng, Zhiyuan Zou |
| 2024 | QRS | SIS: A Syntactic Information-based Span-level Model for Aspect Sentiment Triplets Extraction. | Hongyan Wan, Teng Xiong, Zhiquan An, Xinrong Hu |
| 2024 | SMC | Advancements in Bug Traceability: A Systematic Mapping Study. | Bangchao Wang, Shouya Hu, Luyao Ye, Hongyan Wan, Zhiyuan Zou, Xiaoxiao Li, Jiaxu Zhu |
| 2024 | SMC | XWCoDe: XGBoost with Weighted Code Dependency for Requirements-to-Code Traceability Link Recovery. | Zhiyuan Zou, Bangchao Wang, Yang Deng, Hongyan Wan, Zhiquan An, Yukun Cao |
| 2023 | APSEC | Sentiment Analysis for Requirements Elicitation from App Reviews: A Systematic Mapping Study. | Hongyan Wan, Zhiquan An, Bangchao Wang, Teng Xiong |
| 2023 | IJCNN | An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods. | Bangchao Wang, Zihan Wang, Hongyan Wan, Xingfu Li, Yang Deng |
| 2023 | QRS | A Novel Framework for High-category Coverage Clothing Recommendation System Based on Sentiment Analysis. | Hongyan Wan, Zan Wang, Zhiquan An, Guotao Jiao, Xinnan Zhang |
| 2023 | SMC | DF4RT: Deep Forest for Requirements Traceability Recovery Between Use Cases and Source Code. | Bangchao Wang, Yang Deng, Hongyan Wan, Xingfu Li |
| 2023 | SMC | A Systematic Mapping Study of Machine Learning Techniques Applied to Software Traceability. | Bangchao Wang, Xingfu Li, Hongyan Wan, Yang Deng |
| 2023 | SEKE | Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study (S). | Xingfu Li, Bangchao Wang, Hongyan Wan, Yang Deng, Zihan Wang |
| 2022 | QRS | An Empirical Study on Software Requirements Classification Method based on Mobile App User Comments. | Huan Jin, Hongyan Wan, Ziruo Li, Wenxuan Wang |
| 2022 | QRS | IRRT: An Automated Software Requirements Traceability Tool based on Information Retrieval Model. | Sen Zhang, Hongyan Wan, Yong Xiao, Ziruo Li |
| 2017 | SEKE | SnippetGen: Enhancing the Code Search via Intent Predicting. | Qing Huang, Xudong Wang, Yangrui Yang, Hongyan Wan, Rui Wang, Guoqing Wu |
| 2017 | SEKE | Model Construction and Data Management of Running Log in Supporting SaaS Software Performance Analysis. | Rui Wang, Shi Ying, Chengai Sun, Hongyan Wan, Huo-lin Zhang, Xiangyang Jia |
| 2017 | SEKE | Software Defect Prediction Using Dictionary Learning. | Hongyan Wan, Guoqing Wu, Ming Cheng, Qing Huang, Rui Wang, Mengting Yuan |
| 2016 | SEKE | Heterogeneous Defect Prediction via Exploiting Correlation Subspace. | Ming Cheng, Guoqing Wu, Min Jiang, Hongyan Wan, Guoan You, Mengting Yuan |