Ziyue Yang is a researcher in Networking Research Group, Microsoft Research Asia.

He received MS degree in Computer Science from Peking University in 2020. His MS advisor was Professor Yao Guo. Previously, he got his BS degree from Peking University in 2017.

His research interest currently includes cloud storage, especially disaggregation and QoS techniques, and AI infrastructure, especially communication stack in large-scale distributed training. During his MS, he also worked on mobile systems, mobile app analysis, etc.

His publication list is as the following:

  • Fan, J., Yang, Z., Shu, R., Cheng, P., & Xiong, Y. Towards user-defined SLA in cloud flash storage. (ApSys’21)

  • Li, Y., Zhang, Z., Liu, B., Yang, Z., & Liu, Y. ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection. (ISSTA’21)

  • Li, Y.*, Yang, Z.*, Guo, Y., Chen, X. Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing. (ASE’19, Demo Track) (*: Co-primary authors)

  • Li, Y., Yang, Z., Guo, Y., Chen, X., Agarwal Y., & Hong J.I. Automated Extraction of Personal Knowledge from Smartphone Push Notifications. (IEEE BigData’18) PDF

  • Guo, Y., Li, Y., Yang, Z., & Chen, X. What’s inside your app?: Understanding Feature Redundancy in Mobile Apps. (IEEE ICPC’18) PDF

  • Yang, Z., Li, Y., Guo, Y., & Chen, X. UBAC: UI-Based Fine-Grained Access Control on Android. (SOSP’17, Poster Track) PDF

  • Li, Y., Yang, Z., Guo, Y., & Chen, X. DroidBot: A Lightweight UI-Guided Test Input Generator for Android. (ICSE’17, Demo Track) PDF