Xin Zhang

Xin Zhang

Research Scientist

AI and Applied Research, Meta Inc.

I’m currently a research scientist at AI and applied research in Meta, Inc. My work is about optimization and modeling for deep machine learning with application on recommendation system.

I got my Ph.D. degree from the Dept. of Statistics at Iowa State University advised by Dr. Zhengyuan Zhu and Dr. Jia Liu. Before that, I obtained my B.S in Mathematics from Fudan University, Shanghai, China.

Experience

 
 
 
 
 
Research Scientist
Meta, Inc.
January 2021 – Present Menlo Park, CA
 
 
 
 
 
Ph.D. Student in Statistics & Research Assistant
Iowa State University
August 2016 – May 2021 Ames, IA
 
 
 
 
 
Undergraduate Student in Mathematics
Fudan University
September 2012 – June 2016 Shanghai, China

Recent Publications

(2024). Robust Personalized Federated Learning with Sparse Penalization. Journal of the American Statistical Association (2024).

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(2024). Efficient Sparse Least Absolute Deviation Regression with Differential Privacy. IEEE Transactions on Information Forensics and Security (2024).

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(2023). PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. In ACM Mobihoc 2023.

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(2023). Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. In ICML 2023.

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Projects

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R Package: FlightScanner
Course project for STAT 585. Web scraping/crawling flight information from SkyScanner API (https://www.skyscanner.com/).

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