Requirements Traceability Technologies Selection for Industry. - Bangchao Wang (RE, 2016)

Challenges in Context-Aware Requirements Modeling: A Systematic Literature Review. - Yuanbang Li; Rong Peng; Bangchao Wang (APRES, 2017)

DRank: A semi-automated requirements prioritization method based on preferences and dependencies. - Fei Shao; Rong Peng; Han Lai; Bangchao Wang (J. Syst. Softw., 2017)

Requirements traceability technologies and technology transfer decision support: A systematic review. - Bangchao Wang; Rong Peng; Yuanbang Li; Han Lai; Zhuo Wang (J. Syst. Softw., 2018)

Combining VSM and BTM to Improve Requirements Trace Links Generation. - Bangchao Wang; Rong Peng; Zhuo Wang; Yaxin Zhao (SEKE, 2019)

Research on Multi Source Fusion Evolution Requirements Acquisition in Mobile Applications. - Yuanbang Li; Rong Peng; Bangchao Wang; Dong Sun (SEKE, 2020)

A Decoupled Hybrid Current Control for Improving the Performance of 60° DPWM-Based Three-Phase Grid-Connected Inverter. - Yuanbin He; Bangchao Wang; Xiaogao Xie; Lei Shen 004; Pingliang Zeng (IEEE Access, 2020)

Survey on Challenges and Achievements in Context-Aware Requirement Modeling. - Yuanbang Li; Rong Peng; Bangchao Wang (IEICE Trans. Inf. Syst., 2020)

An Automated Hybrid Approach for Generating Requirements Trace Links. - Bangchao Wang; Rong Peng; Zhuo Wang; Xiaomin Wang; Yuanbang Li (Int. J. Softw. Eng. Knowl. Eng., 2020)

VHINFGM: Virus-Host Interaction prediction via Network Fusion and Graph Mining. - Qiang Zhu; Qinghui Dai; Bangchao Wang; Jinxing Liang; Junping Liu; Li Li 048; Xinrong Hu (BIBM, 2021)

MDD4CER: Efficient Complex Event Recognition with Multiple-value Decision Diagram. - Ruiqi Luo; Bangchao Wang; Xian Zhong (QRS Companion, 2021)

A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners. - Bangchao Wang; Ziyang Weng; Yanping Wang (CoRR, 2021)

Joint Extraction of Biomedical Entities and Relations based on Decomposition and Recombination Strategy. - Qiang Zhu; Cheng Hong 003; Bangchao Wang; Xinrong Hu; Jie Yang 009; Junping Liu (BIBM, 2022)

A Novel Approach for Constructing Intangible Cultural Heritage Knowledge Graphs. - Xianteng Gu; Yong Xiao; Zhongyuan Hua; Huan Jin; Bangchao Wang (ISSSR, 2022)

Chinese Comments Classification and Hotspot Mining Algorithm based on Natural Language Processing. - Xingfu Li; Zhongyuan Hua; Huan Jin; Xinyi Lan; Bangchao Wang (ISSSR, 2022)

An Empirical Study on Source Code Feature Extraction in Preprocessing of IR-Based Requirements Traceability. - Bangchao Wang; Yang Deng; Ruiqi Luo; Huan Jin (QRS, 2022)

A Systematic Mapping Study of Information Retrieval Approaches Applied to Requirements Trace Recovery. - Bangchao Wang; Heng Wang; Ruiqi Luo; Sen Zhang; Qiang Zhu (SEKE, 2022)

Conceptual semantic enhanced representation learning for event recognition in still images. - Ruiqi Luo; Bangchao Wang; Yu Feng; Zaihui Deng; Xian Zhong (Connect. Sci., 2022)

Sentiment Analysis for Requirements Elicitation from App Reviews: A Systematic Mapping Study. - Hongyan Wan; Zhiquan An; Bangchao Wang; Teng Xiong (APSEC, 2023)

An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods. - Bangchao Wang; Zihan Wang; Hongyan Wan; Xingfu Li; Yang Deng (IJCNN, 2023)

Intelligent Question Answering System Based on Cognitive Graph: A Case Study of Textile Fabrics. - Xinyu He; Mengyao Cui; Yufan Chen; Longfei Liu; Bangchao Wang (QRS Companion, 2023)

Cognitive Graph Empowered Textile and Clothing Intelligent Service Platform. - Zhiyuan Zou; Zhipeng Wang; Longfei Liu; Changxi Feng; Bangchao Wang (QRS Companion, 2023)

Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study (S). - Xingfu Li; Bangchao Wang; Hongyan Wan; Yang Deng; Zihan Wang (SEKE, 2023)

DF4RT: Deep Forest for Requirements Traceability Recovery Between Use Cases and Source Code. - Bangchao Wang; Yang Deng; Hongyan Wan; Xingfu Li (SMC, 2023)

A Systematic Mapping Study of Machine Learning Techniques Applied to Software Traceability. - Bangchao Wang; Xingfu Li; Hongyan Wan; Yang Deng (SMC, 2023)

A systematic mapping study on machine learning methodologies for requirements management. - Chi Xu; Yuanbang Li; Bangchao Wang; Shi Dong 001 (IET Softw., 2023)

HSSAN: hair synthesis with style-guided spatially adaptive normalization on generative adversarial network. - Xinrong Hu; Qing Chang; Junjie Huang; Ruiqi Luo; Bangchao Wang; Chang Hu (Vis. Comput., 2023)

A Comprehensive Survey on Authentication and Attack Detection Schemes That Threaten It in Vehicular Ad-Hoc Networks. - Shi Dong 001; Huadong Su; Yuanjun Xia; Fei Zhu; Xinrong Hu; Bangchao Wang (IEEE Trans. Intell. Transp. Syst., 2023)

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 (APSEC, 2024)

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 (APSEC, 2024)

PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery. - Yang Deng; Bangchao Wang; Zhiyuan Zou; Luyao Ye (ESEM, 2024)

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 (IJCNN, 2024)

The Application of the Teaching Model of "Promoting Learning Through Competition, Promoting Teaching Through Competition" in the Course of Data Analysis and Mining. - Zhaojing Wang; Li Li 048; Bangchao Wang; Ruiqi Luo; Luyao Ye (QRS Companion, 2024)

Advancements in Bug Traceability: A Systematic Mapping Study. - Bangchao Wang; Shouya Hu; Luyao Ye; Hongyan Wan; Zhiyuan Zou; Xiaoxiao Li; Jiaxu Zhu (SMC, 2024)

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 (SMC, 2024)

SCAD: Subspace Clustering based Adversarial Detector. - Xinrong Hu; Wushuan Chen; Jie Yang 009; Yi Guo 001; Xun Yao; Bangchao Wang; Junping Liu; Ce Xu (WSDM, 2024)

An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery. - Bangchao Wang; Zhiyuan Zou; Hongyan Wan; Yuanbang Li; Yang Deng; Xingfu Li (J. King Saud Univ. Comput. Inf. Sci., 2024)

Enhancing requirements-to-code traceability with GA-XWCoDe: Integrating XGBoost, Node2Vec, and genetic algorithms for improving model performance and stability. - Zhiyuan Zou; Bangchao Wang; Xinrong Hu; Yang Deng; Hongyan Wan; Huan Jin (J. King Saud Univ. Comput. Inf. Sci., 2024)

RASNet: Recurrent aggregation neural network for safe and efficient drug recommendation. - Qiang Zhu; Feng Han; Huali Yang; Junping Liu; Xinrong Hu; Bangchao Wang (Knowl. Based Syst., 2024)

MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits. - Yang Deng; Bangchao Wang; Qiang Zhu; Junping Liu; Jiewen Kuang; Xingfu Li (J. King Saud Univ. Comput. Inf. Sci., 2024)

ANDE: Detect the Anonymity Web Traffic With Comprehensive Model. - Yunlong Deng; Tao Peng 006; Bangchao Wang; Gan Wu (IEEE Trans. Netw. Serv. Manag., 2024)

LGNet: Linear Graph Representation for Efficient Cold-Start Recommendations. - Zhenglong Li; Ruiqi Luo; Bangchao Wang; Lin Li; Xian Zhong (ICASSP, 2025)

A systematic mapping study of information retrieval-based requirements traceability methods. - Hongyan Wan; Xinyu He; Yang Deng; Bangchao Wang (Inf. Process. Manag., 2025)

MPLinker: Multi-template Prompt-tuning with adversarial training for Issue-commit Link recovery. - Bangchao Wang; Yang Deng; Ruiqi Luo; Peng Liang 001; Tingting Bi (J. Syst. Softw., 2025)

Factor Screening for Equivalence Ratio Measurement Modeling: A Hybrid Approach Integrating Random Forest Algorithm and Support Vector Regression. - Bangchao Wang; Zhengguo You; Yufeng Lai; Yunbai Wang; Lukai Zheng; Matthew Davies; Jon Raffe Willmott; Yang Zhang 098; Jiansheng Yang (IEEE Trans. Instrum. Meas., 2025)

HGNNLink: recovering requirements-code traceability links with text and dependency-aware heterogeneous graph neural networks. - Bangchao Wang; Zhiyuan Zou; Xuanxuan Liang; Huan Jin; Peng Liang 001 (Autom. Softw. Eng., 2025)