Hi I'm Giulio.

I'm a final year PhD Student in the Computer Science Department at Carnegie Mellon University advised by Dave Andersen. I work at the intersection of systems and machine learning.

In Summer 2020, I interned with Jacob Devlin on the Google NLP Team, working on developing efficient models for text retrieval.

In Summer 2019, I interned with Martin Maas on the Google Brain Systems team, working on using Transformers to learn storage policies from distributed traces for datacenter storage systems.

In undergrad, I worked on ML model serving with Joey Gonzalez and at Google as a software engineer.

Selected Publications

Giulio Zhou, Martin Maas. Learning on Distributed Traces for Data Center Storage Systems. Conference on Machine Learning and Systems (MLSys), 2021.

Giulio Zhou, Jacob Devlin. Multi-Vector Attention Models for Deep Re-ranking. Empirical Methods in Natural Language Processing (EMNLP), 2021.

Christopher Canel, Thomas Kim, Giulio Zhou, Conglong Li, Hyeontaek Lim, David G. Andersen, Michael Kaminsky, Subramanya R. Dulloor. Scaling Video Analytics on Constrained Edge Nodes. SysML, 2019.

Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica. Clipper: A Low-Latency Online Prediction Serving System. NSDI, 2017.