Yue Zhao (Preferred)
Yue Zhao
University of Southern California
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@cmu.edu
, ****@gmail.com
, ****@usc.edu
Personal Links
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Education & Career History
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Assistant Professor
University of Southern California (usc.edu)
2023 – Present
PhD student
Carnegie Mellon University (cmu.edu)
2019 – 2023
Visiting Student Researcher
Stanford University (stanford.edu)
2021 – 2021
Senior Data Scientist
PwC Canada (pwc.com)
2017 – 2019
MS student
University of Toronto (cs.toronto.edu)
2015 – 2017
Undergrad student
University of Cincinnati (uc.edu)
2010 – 2015
Advisors, Relations & Conflicts
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Coauthor
Philip Yu
****@uic.edu
2021 – Present
PhD Advisor
George Chen
****@cmu.edu
2021 – 2023
PhD Advisor
Zhihao Jia
****@cmu.edu
2020 – 2023
PhD Advisor
Leman Akoglu
****@andrew.cmu.edu
2019 – 2023
Coauthor
Jure Leskovec
****@cs.stanford.edu
2020 – 2022
Coauthor
Xia Hu
****@rice.edu
2020 – 2021
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Graph Neural Networks
2021 – Present
healthcare machine learning
2020 – Present
automated machine learning
2019 – Present
machine learning systems
2019 – Present
ensemble learning
2018 – Present
anomaly detection
2017 – Present
outlier detection
2017 – Present