I am a third-year Ph.D. student in the Department of Computer Science at the University of Maryland College Park, advised by Prof. Zaoxing Liu. Before joining UMD, I received my B.S. in Computer Engineering from Boston University.

My research primarily centers on two directions: (1) ML systems, from ML-for-systems to systems-for-ML, with a current focus on telemetry and observability for LLM platforms. (2) Data-driven machine learning, where I develop algorithms for learning from complex, real-world data.

Education

• Ph.D in Computer Science, University of Maryland College Park, 2028 (expected)
• B.S. in Computer Engineering, Boston University, 2023
  • Magna Cum Laude

Publications

[NINeS] Tackling Concept Drift in Provenance-based Advanced Persistent Threats Detection
Yajie Zhou, Nengneng Yu, Tuo Zhao, Zaoxing Liu
to appear in NINeS ‘26

[Arxiv] Reliable and Resilient Collective Communication Library for LLM Training and Serving
Wei Wang, Nengneng Yu, Sixian Xiong, Zaoxing Liu
preprint in Arxiv ‘25

[Cell Reports Medicine] A 15-Layer Multi-Omics Dissection of Gastric Cancer Ecotypes Reveals Therapeutic Opportunities
Yuefan Wang*, Lindsey Kathleen Olsen*, …, Nengneng Yu (Primary Author),…,Bing Zhang
to appear in Cell Reports Medicine

[bioRxiv] TabSyM: A Generative Pipeline for Small Multi-Cohort Omics Tabular Data
Nengneng Yu, Yuefan Wang, Lindsey Kathleen Olsen, Bing Zhang, Hui Zhang, Zaoxing Liu
preprint in bioRxiv ‘25

[HotNets] Towards Interactive Simulacra of Internet Investigation by Human Researchers
Yajie Zhou*, Nengneng Yu*, Zaoxing Liu
to appear in Hot Topics in Networks (HotNets) ‘23