I graduated from SHENYUAN Honors College of Beihang University(北京航空航天大学沈元荣誉学院)and am currently a second-year Ph.D. student in the School of Automation Science and Electrical Engineering, Beihang University (北京航空航天大学自动化科学与电气工程学院). My research focuses on software testing and deep learning, which is becoming increasingly urgent and necessary due to the wide application of deep learning software. If you have any ideas on this topic, please feel free to contact me.
My research interests include partition testing, metamorphic testing, and their application to reinforcement learning. I have published more than 3 papers 
To promote communication and collaboration among those working on reinforcement learning testing methods, I would like to found a community. If you are interested in joining us, please do not hesitate to contact me!
2021.09: 🎉🎉 An automatic health-reporting program for Beihang students has been created on Github, which supports the deployment of Tencent scf.- 2023.01: 🥳🥳 With the pandemic over, there is no longer a need for the automatic health-reporting program, but it is still available for research purposes.
KBS 2024TraceNet: Tracing and locating the key elements in sentiment analysis, Qinghua Zhao, Junfeng Liu, Zhongfeng Kang, Zenghui Zhou. Project
ESA 2023Is word order considered by foundation models? A comparative task-oriented analysis, Qinghua Zhao, Jiaang Li, Junfeng Liu, Zhongfeng Kang, Zenghui Zhou. Project
SQJ 2020Cross-project bug type prediction based on transfer learning, Xiaoting Du, Zenghui Zhou, Beibei Yin, Guanping Xiao.|Project
TR 2021DEEPSIM: Deep Semantic Information-Based Automatic Mandelbug Classification, Xiaoting Du , Zheng Zheng, Guanping Xiao, Zenghui Zhou, Kishor S. Trivedi.|Project
MET 2021Follow-up Test Cases are Better Than Source Test Cases in Metamorphic Testing: A Preliminary Study, Zenghui Zhou, Zheng Zheng, Tsong Yueh Chen, Jinyi Zhou,Kun Qiu.| Project