A Map of Threats to Validity of Systematic Literature Reviews in Software Engineering. - Xin Zhou 016; Yuqin Jin; He Zhang 001; Shanshan Li 002; Xin Huang 019 (APSEC, 2016)

Synthesizing qualitative research in software engineering: a critical review. - Xin Huang 019; He Zhang 001; Xin Zhou 016; Muhammad Ali Babar 001; Song Yang 001 (ICSE, 2018)

A Review of Meta-ethnographies in Software Engineering. - Changlan Fu; He Zhang 001; Xin Huang 019; Xin Zhou 016; Zhi Li 017 (EASE, 2019)

Ethnographic research in software engineering: a critical review and checklist. - He Zhang 001; Xin Huang 019; Xin Zhou 016; Huang Huang; Muhammad Ali Babar 001 (ESEC/SIGSOFT FSE, 2019)

An evidence-based inquiry into the use of grey literature in software engineering. - He Zhang 001; Xin Zhou 016; Xin Huang 019; Huang Huang; Muhammad Ali Babar 001 (ICSE, 2020)

How to Treat the Use of Grey Literature in Software Engineering. - Xin Zhou 016 (ICSSP, 2020)

Survey on Pains and Best Practices of Code Review. - Liming Dong 001; He Zhang 001; Lanxin Yang; Zhiluo Weng; Xin Yang; Xin Zhou 016; Zifan Pan (APSEC, 2021)

A Research Landscape of Software Engineering Education. - Xin Huang 019; He Zhang 001; Xin Zhou 016; Dong Shao; Letizia Jaccheri (APSEC, 2021)

Quality Assessment in Systematic Literature Reviews: A Software Engineering Perspective. - Lanxin Yang; He Zhang 001; Haifeng Shen; Xin Huang 019; Xin Zhou 016; Guoping Rong; Dong Shao (Inf. Softw. Technol., 2021)

Processes, challenges and recommendations of Gray Literature Review: An experience report. - He Zhang 001; Runfeng Mao; Huang Huang; Qiming Dai; Xin Zhou 016; Haifeng Shen; Guoping Rong (Inf. Softw. Technol., 2021)

A Vulnerability Detection Framework for Hyperledger Fabric Smart Contracts Based on Dynamic and Static Analysis. - Peiru Li; Shanshan Li 002; Mengjie Ding; Jiapeng Yu; He Zhang 001; Xin Zhou 016; Jingyue Li (EASE, 2022)

Performance Modeling of Hyperledger Fabric 2.0. - Ou Wu; Shanshan Li 002; Liwen Liu; He Zhang 001; Xin Zhou 016; Qinghua Lu 001 (EASE, 2022)

A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues. - Xin Zhou 016; Huang Huang; He Zhang 001; Xin Huang 019; Dong Shao; Chenxing Zhong (ICSE (SEIP), 2022)

Revisiting the practices and pains of microservice architecture in reality: An industrial inquiry. - Xin Zhou 016; Shanshan Li 002; Lingli Cao; He Zhang 001; Zijia Jia; Chenxing Zhong; Zhihao Shan; Muhammad Ali Babar 001 (J. Syst. Softw., 2023)

Revisit security in the era of DevOps: An evidence-based inquiry into DevSecOps industry. - Xin Zhou 016; Runfeng Mao; He Zhang 001; Qiming Dai; Huang Huang; Haifeng Shen; Jingyue Li; Guoping Rong (IET Softw., 2023)

DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection. - Yanjing Yang; Xin Zhou 016; Runfeng Mao; Jinwei Xu; Lanxin Yang; Yu Zhangm; Haifeng Shen; He Zhang 001 (CoRR, 2024)

Investigating Efficacy of Perplexity in Detecting LLM-Generated Code. - Jinwei Xu; He Zhang 001; Yanjin Yang; Zeru Cheng; Jun Lyu; Bohan Liu; Xin Zhou 016; Lanxin Yang; Alberto Bacchelli; Yin Kia Chiam; Thiam Kian Chiew (CoRR, 2024)

A blockchain-based and microservices-architected software composition analysis system. - Xin Zhou 016; Jinwei Xu; Xiaokang Li; Lingli Cao; Lingjie Li; Yanze Wang; Shanshan Li 002; Hui Liu (J. Softw. Evol. Process., 2024)

A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2024)

DLAP: A Deep Learning Augmented Large Language Model Prompting framework for software vulnerability detection. - Yanjing Yang; Xin Zhou 016; Runfeng Mao; Jinwei Xu; Lanxin Yang; Yu Zhang; Haifeng Shen; He Zhang 001 (J. Syst. Softw., 2025)

Enhancing the Accuracy and Comprehensibility in Architectural Tactics Detection via Small Model-Augmented Prompt Engineering. - Lingli Cao; He Zhang 001; Shanshan Li 002; Danyang Li; Yanjing Yang; Chenxing Zhong; Xin Zhou 016; Yue Xie (CoRR, 2025)

Decision Support for Selecting Blockchain-Based Application Design Patterns With Layered Taxonomy and Quality Attributes. - Yanze Wang; Yiling Huang; Jingyue Li; Shanshan Li 002; He Zhang 001; Jun Lyu; Chenxing Zhong; Xiaodong Liu; Bohan Liu; Yue Liu 010; Qinghua Lu 001; Xin Zhou 016 (IEEE Trans. Software Eng., 2025)

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2025)

Automated detection of affected libraries from vulnerability reports. - Jinwei Xu; He Zhang 001; Xin Zhou 016; Yanjing Yang; Runfeng Mao; Xiaokang Li; Lanxin Yang; Haifeng Shen (Autom. Softw. Eng., 2025)