Qiuling Xu is a Research Scientist at Netflix, focusing on Foundation Models and Large Language Models for personalization. With a PhD in Robust Machine Learning from Purdue University and a B. Sc. from Nanjing University, their background includes research internships at Google, Microsoft, and Adobe.
Qiuling won two Best Paper awards at the prestigious IEEE ICASSP 2023 conference for research on the robustness of machine learning models.
Qiuling Xu
Research Scientist at Netflix
Campbell, California, United States
Overview
Topics They Care About
Foundation Models
Their current role at Netflix involves the pre-training and post-training of Foundation Models, specifically for use in advanced recommendation systems.
Generative Recommenders
Recently shared work on post-training generative recommendation models, exploring methods to better align them without over-relying on noisy reward models.
AI Model Security
Their award-winning PhD research focused on robust machine learning, including methods to effectively eliminate injected backdoors from models.
Media Appearances
Qiuling has no verified media appearances
Work History
8-2023
Research Scientist at Netflix
5-2023 - 8-2023
Research Intern at Google
5-2022 - 8-2022
Research Intern at Netflix
5-2021 - 8-2021
Research Intern at Adobe
2-2018 - 6-2018
Research Intern at Microsoft
Education
Bachelor's degree from Nanjing University
Doctor of Philosophy - PhD from Purdue University
More Information
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Location : Campbell, California, United States
Job Level : N/A
Designation : Research Scientist at Netflix
