I am a Ph.D. Student from SSCT-Lab, Nanjing University. My research interest includes Data Cleaning for DNNs or LLMs, Quality Assurance Techniques for Complex AI Systems. If you have any questions about me and my research, please feel free to drop me an e-mail.

Now, I am supervised by Prof. Feng (Research Supervisior) from Department of Computer Science and Technology, Nanjing University and Prof. Liu from Software Institute, Nanjing University. Before that, I obtained my B.S. degree from the School of Artificial Intelligence and Computer Science, JiangNan University, under the guidance of Prof. Lu.

Publications

• Seeing the invisible: test prioritization for object detection system.
  Shihao Weng, *Yang Feng, Yining Yin, Yuxuan Dai, Jia Liu, Zhihong Zhao.
  Empirical Software Engineering (EMSE) (CCF-B, SCI-Q1).

• Datactive: Data Fault Localization for Object Detection Systems.
  Yining Yin, *Yang Feng, Shihao Weng, Yuan Yao, Jia Liu, Zhihong Zhao.
  Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2024) (CCF-A).

• Dynamic Data Fault Localization for Deep Neural Networks.
  Yining Yin, *Yang Feng, Shihao Weng, Zixi Liu, Yuan Yao, Yichi Zhang, Zhihong Zhao, Zhenyu Chen.
  Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023) (CCF-A).

• Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems.
  Shihao Weng, *Yang Feng, Yining Yin, Jia Liu.
  Proceedings of the 14th Asia-Pacific Symposium on Internetware (Internetware 2023) (Distinguished Paper Award) (CCF-C).

Awards

• 🏅 Outstanding Graduate Students of Nanjing University.

• 🏅 National Scholarships for Graduate Students 2023.

• 🏅 CCF Outstanding Undergraduate Student of the Year 2022.

• 🏅 National Scholarship for Undergraduate Students 2021.

• 🏅 National Scholarship for Undergraduate Students 2020.