Biography
I am now an Assistant Professor in Beihang University, working with Prof. Chunming Hu and Prof. Li Li. I have the privilege of being mentored by Prof Li Li, Prof John Grundy, Prof Chunyang Chen, and Dr Xiao Chen (in a sequence of the length of supervision) in PhD. I was a PhD student in Monash HumaniSE Lab and SMAT Lab. My current research interests are AI4SE, SE4AI, mobile software engineering, and AI Security. Prior to join Monash University, I work with Prof. Yipeng Liu and Prof. Ce Zhu in UESTC as a master student.
Interests
- AI4SE, SE4AI
- Mobile Software Engineering
- AI Security
Education
PhD, 2021 - 2024
Monash University, Australia
Master of Engineering
University of Electronic Science and Technology of China (UESTC)
Bachelor of Engineering
Wuhan University of Technology, China
News
🎉 Our paper of the first static analysis framework “ArkAnalyzer” has been released and open sourced, welcome to use and cite it!
🎉 Our paper “LLM for Mobile An Initial Roadmap” has been accepted by TOSEM!
Serving as a Junior PC member in MSR'25
🎉 One paper has been accepted by ASE'24!
🎉 Received the FIT PhD Supplementary Funding!
🎉 Received the Google Travel Grant (6000$)!
🎉 One paper has been accepted by the first cycle of ISSTA'24!
Slected Publications
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(2024).
ArkAnalyzer: The Static Analysis Framework for OpenHarmony Apps.
In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering 2025, SEIP Track [ICSE-SEIP'25].
(2024).
DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators.
In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, Research Track [ASE'24].
(2024).
LLM for Mobile: An Initial Roadmap.
In ACM Transactions on Software Engineering and Methodology TOSEM'24.
(2024).
Model-less Is The Best Model: Generating Pure Code Implementations to Replace On-device DL Models.
In Proceedings of the 33nd ACM SIGSOFT International Symposium on Software Testing and Analysis 2024, Technical Track [ISSTA'24].
(2024).
Investigating White-Box Attacks for On-Device Models.
In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering 2024, Research Track [ICSE'24].
(2024).
Concealing Sensitive Samples against Gradient Leakage in Federated Learning.
In The 38th Annual AAAI Conference on Artificial Intelligence 2024 [AAAI'24].
(2023).
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems.
In Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis 2023, Technical Track [ISSTA'23].
(2020).
DaST: Data-free Substitute Training for Adversarial Attacks.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020 [CVPR'20 Oral, Top 5%].
Professional Services
Program Committee:
- Annual AAAI Conference on Artificial Intelligence (AAAI'25)
- International Conference on Software Engineering (ICSE'25), Artifact Evaluation Track
- Mining Software Repositories (MSR'25)
Reviewer:
- ACM Computing Surveys
- IEEE Transaction on Software Engineering
- ACM Transaction on Software Engineering and Methodology
- IEEE Transaction on Image Processing
- Knowledge-Based Systems
- Conference on Computer Vision and Pattern Recognition (CVPR'22, 23, 24, 25)
- International Conference on Computer Vision (ICCV'23)
- European Conference on Computer Vision (ECCV'22, 24)
- Asian Conference on Computer Vision (ACCV'24)