🐰 About Me
I joined Huazhong University of Science and Technology in March 2024, and my collaborating supervisor is Prof. Haoyu Wang.
In 2019, I obtained my Bachelor’s degree from Beijing University of Posts and Telecommunications. Subsequently, I commenced my doctoral studies at Monash University, where I had the privilege of being supervised by Prof. Li Li and Prof. John Grundy. I completed my PhD at Monash University in September 2023.
My research interests include software engineering and software security. If you would like to reach me, please send an email to carolzhao233@gmail.com or yanjie_zhao@hust.edu.cn.
🎉 News
- 2024.08: Our paper titled “Large Language Models for Software Engineering: A Systematic Literature Review” has been accepted by TOSEM!
📝 Publications
(* Equal Contribution, # Corresponding Author)
2025
- Born with a Silver Spoon: On the (In)Security of Native Granted App Privileges in Custom Android ROMs
Chao Wang*, Yanjie Zhao*, Jiapeng Deng, Haoyu Wang#
The 46th IEEE Symposium on Security and Privacy (Oakland 2025) [Paper]
2024
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Large Language Models for Software Engineering: A Systematic Literature Review
Xinyi Hou*, Yanjie Zhao*, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang#
ACM Transactions on Software Engineering and Methodology (TOSEM), 2024 [Paper] -
WaDec: Decompiling WebAssembly Using Large Language Model
Xinyu She*, Yanjie Zhao*, Haoyu Wang#
ASE 2024 [Paper] -
Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
Jian Zhao*, Shenao Wang*, Yanjie Zhao#, Xinyi Hou, Kailong Wang, Peiming Gao, Yuanchao Zhang, Chen Wei#, Haoyu Wang
ASE 2024, Industry Track [Paper] -
Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps
Zikan Dong*, Yanjie Zhao*, Tianming Liu, Chao Wang, Guosheng Xu, Guoai Xu, Lin Zhang, Haoyu Wang#
ASE 2024, Industry Track [Paper] -
Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments
Xinyi Zheng*, Chen Wei*, Shenao Wang, Yanjie Zhao, Peiming Gao#, Yuanchao Zhang, Kailong Wang#, Haoyu Wang
ASE 2024, Industry Track [Paper] -
A First Look at LLM-powered Smartphones
Liangxuan Wu*, Yanjie Zhao*, Chao Wang, Tianming Liu, Haoyu Wang#
A-Mobile 2024, co-located with ASE 2024 [Paper] -
Towards Demystifying Android Adware: Dataset and Payload Location
Chao Wang*, Tianming Liu*, Yanjie Zhao, Lin Zhang, Xiaoning Du, Li Li, Haoyu Wang#
A-Mobile 2024, co-located with ASE 2024 [Paper] -
GPTZoo: A Large-scale Dataset of GPTs for the Research Community
Xinyi Hou, Yanjie Zhao, Shenao Wang, Haoyu Wang
ASE 2024, The New Ideas and Emerging Results (NIER) Track [Paper] -
LLM App Store Analysis: A Vision and Roadmap
Yanjie Zhao, Xinyi Hou, Shenao Wang, Haoyu Wang
2030 Software Engineering (SE2030) [Paper] -
Large Language Model Supply Chain: A Research Agenda
Shenao Wang, Yanjie Zhao, Xinyi Hou, Haoyu Wang
2030 Software Engineering (SE2030) [Paper] -
LLM for Mobile: An Initial Roadmap
Daihang Chen, Yonghui Liu, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Shuai Wang, Xiao Chen, Tegawendé F. Bissyandé, Jacques Klein, Li Li
2030 Software Engineering (SE2030) [Paper] -
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Xinyu She*, Yue Liu*, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang#
Preprint [Paper]
2023
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Potential Risks Arising from the Absence of Signature Verification in Miniapp Plugins
Yanjie Zhao, Yue Zhang, Haoyu Wang
The 2023 ACM Workshop on Secure and Trustworthy Superapps [Paper] -
On the Usage-scenario-based Data Minimization in Mini Programs
Shenao Wang, Yanjie Zhao, Kailong Wang, Haoyu Wang
The 2023 ACM Workshop on Secure and Trustworthy Superapps [Paper] -
Detecting Temporal Inconsistency in Biased Datasets for Android Malware Detection
Haonan Hu, Yue Liu, Yanjie Zhao, Yonghui Liu, Xiaoyu Sun, Chakkrit Tantithamthavorn, Li Li
A-Mobile 2023, co-located with ASE 2023 [Paper] -
CiD4HMOS: A Solution to HarmonyOS Compatibility Issues
Tianzhi Ma, Yanjie Zhao, Li Li, Liang Liu
ASE 2023, Industry Challenge Track [Paper]
Papers Published During PhD Studies
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Automatically Detecting Incompatible Android APIs
Pei Liu, Yanjie Zhao, Mattia Fazzini, Haipeng Cai, John Grundy, Li Li
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023 [Paper] -
Are Mobile Advertisements in Compliance with App’s Age Group?
Yanjie Zhao*, Tianming Liu*, Haoyu Wang, Yepang Liu, John Grundy, Li Li
WWW 2023 [Paper] -
Automatically Detecting API-induced Compatibility Issues in Android Apps: A Comparative Analysis (Replicability Study)
Pei Liu*, Yanjie Zhao*, Haipeng Cai, Mattia Fazzini, John Grundy, Li Li
ISSTA 2022 [Paper] -
APIMatchmaker: Matching the Right APIs for Supporting the Development of Android Apps
Yanjie Zhao, Li Li, Haoyu Wang, Qiang He, John Grundy
IEEE Transactions on Software Engineering (TSE), 2022 [Paper] -
Towards Automatically Repairing Compatibility Issues in Published Android Apps
Yanjie Zhao, Li Li, Kui Liu, John Grundy
ICSE 2022 [Paper] -
Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues
Xiaoyu Sun, Xiao Chen, Yanjie Zhao, Pei Liu, John Grundy, Li Li
ASE 2022 [Paper] -
A First Look at CI/CD Adoptions in Open-Source Android Apps
Pei Liu, Xiaoyu Sun, Yanjie Zhao, Yonghui Liu, John Grundy, Li Li
A-Mobile 2022, co-located with ASE 2022 [Paper] -
Code Implementation Recommendation for Android GUI Components
Yanjie Zhao, Li Li, Xiaoyu Sun, Pei Liu, John Grundy
ICSE 2022, Demonstrations Track [Paper] -
Anchor: Locating Android Framework-specific Crashing Faults
Pingfan Kong, Li Li, Jun Gao, Timothée Riom, Yanjie Zhao, Tegawendé F. Bissyandé, Jacques Klein
Automated Software Engineering Journal (JASE), 2021 [Paper] -
On the Impact of Sample Duplication in Machine Learning based Android Malware Detection
Yanjie Zhao, Li Li, Haoyu Wang, Haipeng Cai, Tegawendé F. Bissyandé, Jacques Klein, John Grundy
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021 [Paper] -
Icon2Code: Recommending Code Implementations for Android GUI Components
Yanjie Zhao, Li Li, Xiaoyu Sun, Pei Liu, John Grundy
Information and Software Technology (IST), 2021 [Paper] -
AndroZooOpen: Collecting Large-scale Open Source Android Apps for the Research Community
Pei Liu, Li Li, Yanjie Zhao, Xiaoyu Sun, John Grundy
MSR 2020, Data Track [Paper] -
Knowledge Graphing Git Repositories: A Preliminary Study
Yanjie Zhao, Haoyu Wang, Lei Ma, Yuxin Liu, Li Li, John Grundy
SANER 2019, ERA Track [Paper]
📖 Educations
- 2015.09 - 2019.06, B.Eng., Beijing University of Posts and Telecommunications, Beijing, China.
- 2019.07 - 2019.09, Visitor, University of Luxembourg, Luxembourg.
- 2019.09 - 2023.09, Ph.D., Monash University, Melbourne, Australia.
- Continuously pursue knowledge and never cease learning…
💼 Services
- PC Member – FSE 2025, ISSTA 2025, WWW 2025, ISSTA 2024, WWW 2024, APSEC 2024, ASE NIER 2024, CCS 2024 Artifact Evaluation, MOBILESoft 2024, MOBILESoft 2023
- Journal Reviewer – ACM Transactions on Software Engineering and Methodology (TOSEM), IEEE Transactions on Software Engineering (TSE), ACM Computing Surveys (CSUR), Empirical Software Engineering (EMSE), Journal of Systems and Software (JSS), IEEE Transactions on Reliability
- Publicity Chair – MOBILESoft 2023
🏆 Honors and Awards
- 2019 - Monash Graduate Scholarship (MGS).
- 2019 - Outstanding Graduate of Beijing City.
- 2019 - “Triple-A” Student of Beijing City.
- 2018 - Cyber Security Scholarship of China Internet Development Foundation (one of the 66 award-winning undergraduates nationwide).
- 2017 - China National Scholarship.
- 2017 - Meritorious Winner of MCM/ICM.
- 2017 - First Prize in Beijing Contest District in CUMCM.
- 2017 - Second Prize in China National Cryptography Competition.
- 2016 - China National Scholarship.
💻 Skills
- Reading, writing, and speaking competencies in Mandarin Chinese and English.
- Academic research, teaching, training, consultation, LATEX typesetting, and publishing.
- Leisure Interests:
- Adobe Photoshop
- Adobe Premiere
- Adobe After Effects
