NeurIPS 2024 Datasets and Benchmarks Track PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques. Derui Zhu*, Dingfan Chen*, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma. The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track. Accepted (Spotlight). * Equal contribution
ASE 2023 Generative Model-based Testing on Decision-Making Policies. Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Chen, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao. In the Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023).
QSW 2023 An Empirical Study of Bugs in Quantum Machine Learning Frameworks. Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao. IEEE International Conference on Quantum Software. 🏆Best Student Paper.
Q-SE 2023 QChecker: Detecting Bugs in Quantum Programs via Static Analysis. Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao. In the Proceedings of the 4th International Workshop on Quantum Software Engineering (Q-SE 2023), co-located with ICSE 2023.
ICSE-SEIP 2023 Widget Detection-based Testing for Industrial Mobile Games. Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao. In the Proceedings of the 45th International Conference on Software Engineering: Software Engineering in Practice.
EMSE 2022 On the Usage and Development of Deep Learning Compilers: An Empirical Study on TVM. Xiongfei Wu, Jinqiu Yang, Lei Ma, Yinxing Xue, and Jianjun Zhao. In Empirical Software Engineering
ICPC 2020 How are Deep Learning Models Similar? An Empirical Study on Clone Analysis of Deep Learning Software Xiongfei Wu, Liangyu Qin, Bing Yu, Xiaofei Xie, Lei Ma, Yinxing Xue, Yang Liu, Jianjun Zhao. In the Proceedings of the 28th International Conference on Program Comprehension