I am a second-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

Yajie Zhou, Nengneng Yu, Tuo Zhao, Zaoxing Liu, “Tackling Concept Drift in Provenance-based Advanced Persistent Threats Detection”, New Ideas in Networked Systems (NINeS), 2026

Wei Wang, Nengneng Yu, Sixian Xiong, Zaoxing Liu, “Reliable and Resilient Collective Communication Library for LLM Training and Serving”, Arxiv, 2025

Yuefan Wang, Lindsey Kathleen Olsen, …, Nengneng Yu (Primary Author),…,Bing Zhang, “A 15-Layer Multi-Omics Dissection of Gastric Cancer Ecotypes Reveals Therapeutic Opportunities”, Under Cell review

Nengneng Yu, Yuefan Wang, Lindsey Kathleen Olsen, Bing Zhang, Hui Zhang, Zaoxing Liu, “TabSyM: A Generative Pipeline for Small Multi-Cohort Omics Tabular Data”, bioRxiv, 2025

Yajie Zhou*, Nengneng Yu * , Zaoxing Liu, “ Towards Interactive Simulacra of Internet Investigation by Human Researchers”, Hot Topics in Networks (HotNets), 2023