Publications

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.

Giulio Zhou, Subramanya Dulloor, David G. Andersen, Michael Kaminsky. EDF: Ensemble, Distill, and Fuse for Easy Video Labeling. arXiv preprint arXiv:1812.03626

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

Teaching

TA for CS 189: Introduction to Machine Learning, Fall 2016
TA for CS 61BL: Data Structures and Programming Methodology, Summer 2016
TA for CS 61B: Data Structures and Algorithms, Spring 2016
Reader for CS 170: Efficient Algorithms and Intractable Problems, Fall 2015
Tutor for CS 61B: Data Structures and Algorithms, Spring 2015

Coursework

(Graduate)
10-705: Intermediate Statistics
10-703: Deep Reinforcement Learning
10-702: Statistical Machine Learning
15-712: Advanced and Distributed Operating Systems
15-740: Computer Architecture

(Undergraduate)
CS 280: Computer Vision
CS 194-26: Image Manipulation and Computational Photography
CS 189: Introduction to Machine Learning
CS 188: Introduction to Artificial Intelligence
CS 186: Introduction to Database Systems
CS 170: Efficient Algorithms and Intractable Problems
CS 168: Computer Networking
CS 162: Operating Systems and Systems Programming
CS 70: Discrete Math and Probability Theory
CS 61C: Machine Structures
CS 61BL: Data Structures and Programming Methodology
CS 61A: Structure and Interpretation of Programs
EE 126: Probability and Random Processes