Xiongfei Wu

17 papers A* 4A 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
QSPE: Enumerating Skeletal Quantum Programs for Quantum Library Testing.
CoRR
Jiaming Ye, Fuyuan Zhang, Shangzhou Xia, Xiaoyu Guo, Xiongfei Wu, Jianjun Zhao, Yinxing Xue
2025 A* conf
Demystifying the Evolution of Neural Networks with BOM Analysis: Insights from a Large-Scale Study of 55,997 GitHub Repositories.
ASE
Xiaoning Ren, Yuhang Ye, Xiongfei Wu, Yueming Wu, Yinxing Xue
2025 J jnl
Demystifying the Evolution of Neural Networks with BOM Analysis: Insights from a Large-Scale Study of 55,997 GitHub Repositories.
CoRR
Xiaoning Ren, Yuhang Ye, Xiongfei Wu, Yueming Wu, Yinxing Xue
2025 J jnl
Foundation Models for Autonomous Driving System: An Initial Roadmap.
CoRR
Xiongfei Wu, Mingfei Cheng, Qiang Hu, Jianlang Chen, Yuheng Huang, Manabu Okada, Michio Hayashi, Tomoyuki Tsuchiya, Xiaofei Xie, Lei Ma
2025 J jnl
Improving Adversarial Training for Two-player Competitive Games via Episodic Reward Engineering.
Trans. Mach. Learn. Res.
Siyuan Chen, Fuyuan Zhang, Zhuo Li, Xiongfei Wu, Jianlang Chen, Pengzhan Zhao, Lei Ma, Jianjun Zhao
2025 A* conf
Is Measurement Enough? Rethinking Output Validation in Quantum Program Testing.
ASE
Jiaming Ye, Xiongfei Wu, Shangzhou Xia, Fuyuan Zhang, Jianjun Zhao
2025 J jnl
Is Measurement Enough? Rethinking Output Validation in Quantum Program Testing.
CoRR
Jiaming Ye, Xiongfei Wu, Shangzhou Xia, Fuyuan Zhang, Jianjun Zhao
2025 J jnl
The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models.
CoRR
Linghan Huang, Haolin Jin, Zhaoge Bi, Pengyue Yang, Peizhou Zhao, Taozhao Chen, Xiongfei Wu, Lei Ma, Huaming Chen
2024 A* conf
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques.
NeurIPS
Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma
2023 — conf
An Empirical Study of Bugs in Quantum Machine Learning Frameworks.
QSW
Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao
2023 J jnl
An Empirical Study of Bugs in Quantum Machine Learning Frameworks.
CoRR
Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao
2023 A* conf
Generative Model-Based Testing on Decision-Making Policies.
ASE
Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao
2023 — conf
QChecker: Detecting Bugs in Quantum Programs via Static Analysis.
Q-SE@ICSE
Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao
2023 J jnl
QChecker: Detecting Bugs in Quantum Programs via Static Analysis.
CoRR
Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao
2023 — conf
Widget Detection-based Testing for Industrial Mobile Games.
ICSE-SEIP
Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao
2022 J jnl
On the usage and development of deep learning compilers: an empirical study on TVM.
Empir. Softw. Eng.
Xiongfei Wu, Jinqiu Yang, Lei Ma, Yinxing Xue, Jianjun Zhao
2020 A conf
How are Deep Learning Models Similar?: An Empirical Study on Clone Analysis of Deep Learning Software.
ICPC
Xiongfei Wu, Liangyu Qin, Bing Yu, Xiaofei Xie, Lei Ma, Yinxing Xue, Yang Liu, Jianjun Zhao