Image Yepang Liu (刘烨庞, CV)

Associate Professor (博导, 研究员)
Department of Computer Science and Engineering
Southern University of Science and Technology
Office: Room 609, CoE Building (South), SUSTech
Email: liuyp1 AT sustech DOT edu DOT cn
Tel: +86-0755-88015159

I am a tenured associate professor with the CSE Department of SUSTech. I lead the Software Quality Lab. I am also the director of the Trustworthy Software Research Center of the Research Insititute of Trustworthy Autonomous Systems. My research interests mainly include software testing and analysis, empirical software engineering, cyber-physical systems, software security, and trustworthy AI. I obtained my B.Sc. degree in Computer Science with honor from Nanjing University in 2010, and my Ph.D. degree in Computer Science and Engineering from HKUST in 2015. Prior to joining SUSTech, I worked at the CASTLE Lab and Cybersecurity Lab of HKUST as a postdoc, under the supervision of Prof. Shing-Chi Cheung and Prof. Charles Zhang.

Call for papers: Please consider submitting your work to ICSE 2025, ASE 2024, AIWare 2024, TASE 2024, COMPSAC 2024, FORGE 2024, JCST.

We are hiring research assistant professors, postdocs, and research assistants (job post). We are also looking for PhD students with strong programming skills and good English ability. Please send me an email with your CV if you are interested and have relevant background. For undergraduate students who are interested in joining our group, please send me a copy of your transcript.

Latest News (more)

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Selected Recent Publications (full list, Google Scholar)

  1. [S&P 2024, CORE-A*/CCF-A] Wuqi Zhang, Zhuo Zhang, Qingkai Shi, Lu Liu, Lili Wei, Yepang Liu, Xiangyu Zhang, and Shing-Chi Cheung. Nyx: Detecting Exploitable Front-Running Vulnerabilities in Smart Contracts. In the 45th IEEE Symposium on Security and Privacy, May 2024, San Francisco, California, USA. [pdf]

  2. [TSE 2023, CCF-A] Wuqi Zhang, Lili Wei, Shing-Chi Cheung, Yepang Liu, Shuqing Li, Lu Liu, and Michael R. Lyu. Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation. In IEEE Transactions on Software Engineering, to appear. [preprint]

  3. [OOPSLA 2023, CORE-A/CCF-A] Shangwen Wang, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Yan Lei, and Xiaoguang Mao. Two Birds with One Stone: Boosting Code Generation and Code Search via Generative Adversarial Network. In the 2023 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, October 2023, Cascais, Portugal, 30 pages. [pdf]

  4. [TOSEM 2023, CCF-A] Shangwen Wang, Ming Wen, Bo Lin, Yepang Liu, Tegawende Bissyande, and Xiaoguang Mao. Pre-Implementation Method Name Prediction for Object-Oriented Programming. In ACM Transactions on Software Engineering and Methodology, 2023, to appear.

  5. [ISSTA 2023, CCF-A] Jiajun Hu, Lili Wei, Yepang Liu, and Shing-Chi Cheung. wTest: WebView-Oriented Testing for Android Applications. In the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023, to appear.

  6. [ISSTA 2023, CCF-A] Linlin Li, Ruifeng Wang, Xian Zhan, Ying Wang, Cuiyun Gao, Sinan Wang, and Yepang Liu. What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications. In the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023, July 2023, pp. 538-550. [pdf]

  7. [ISSTA 2023, CCF-A] Huaxun Huang, Chi Xu, Ming Wen, Yepang Liu, and Shing-Chi Cheung. ConfFix: Repairing Configuration Compatibility Issues in Android Apps. In the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023, to appear.

  8. [WWW 2023, CCF-A] Yanjie Zhao, Tianming Liu, Haoyu Wang, Yepang Liu, John Grundy, and Li Li. Are Mobile Advertisements in Compliance with App’s Age Group? In the ACM Web Conference, 2023, to appear.

  9. [ICST 2023, CCF-C] Jiayuan Liang, Sinan Wang, Xiangbo Deng, and Yepang Liu. RIDA: Cross-App Record and Replay for Android. In the 16th IEEE International Conference on Software Testing, Verification and Validation, 2023, to appear. [preprint]

  10. [ICSE 2023, CCF-A] Hao Guan, Ying Xiao, Jiaying Li, Yepang Liu, and Guangdong Bai. A Comprehensive Study of Real-World Bugs in Machine Learning Model Optimization. In the 45th International Conference on Software Engineering, 2023, to appear.

  11. [ICSE 2023, CCF-A] Jiwei Yan, Miaomiao Wang, Yepang Liu, Jun Yan, and Long Zhang. Locating Framework-specific Crashing Faults with Compact and Explainable Candidate Set. In the 45th International Conference on Software Engineering, 2023, to appear. [pdf]

  12. [ICSE 2023, CCF-A] Kaifa Zhao, Xian Zhan, Lei Yu, Shiyao Zhou, Hao Zhou, Xiapu Luo, Haoyu Wang, and Yepang Liu. Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps. In the 45th International Conference on Software Engineering, 2023, to appear.

  13. [MICRO 2022, CCF-A] Xueliang Li, Zhuobin Shi, Junyang Chen, and Yepang Liu. Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures. In the 55th IEEE/ACM International Symposium on Microarchitecture, 2022, to appear.

  14. [CSUR 2022, JCR-Q1] Yue Liu, Chakkrit Tantithamthavorn, Li Li, and Yepang Liu. Deep Learning for Android Malware Defenses: a Systematic Literature Review. In ACM Computing Surveys, 2022, to appear.

  15. [TSE 2022, CCF-A] Ying Wang, Yibo Wang, Sinan Wang, Yepang Liu, Chang Xu, Shing-Chi Cheung, Hai Yu, and Zhiliang Zhu. Runtime Permission Issues in Android Apps: Taxonomy, Practices, and Ways Forward. In IEEE Transactions on Software Engineering, to appear.

  16. [ICSE 2022, CCF-A] Sinan Wang, Yibo Wang, Xian Zhan, Ying Wang, Yepang Liu, Xiapu Luo, and Shing-Chi Cheung. Aper: Evolution-Aware Runtime Permission Misuse Detection for Android Apps. In the 44th International Conference on Software Engineering, pp. 125-137, May 2022, to appear. [pdf][tool]


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