Rui Xin

I am a PhD student at University of Washington, where I am fortunate to be advised by Pang Wei Koh and Sewoong Oh. I am interested in privacy-preserving machine learning.

Previously, I graduated with a BS in Mathematics and Computer Science from Duke University, where I was very lucky to be advised by Cynthia Rudin and Margo Seltzer.

Email  /  Google Scholar  /  GitHub

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Optimal Sparse Survival Trees

Rui Zhang, Rui Xin, Margo Seltzer, and Cynthia Rudin

Optimal Sparse Regression Trees

Rui Zhang*, Rui Xin*, Margo Seltzer, and Cynthia Rudin
AAAI, 2023
paper / code

Exploring the Whole Rashomon Set of Sparse Decision Trees

Rui Xin*, Chudi Zhong*, Zhi Chen*, Takuya Takagi, Margo Seltzer, Cynthia Rudin
NeurIPS, 2022 (Oral)
paper / code

TimberTrek: Exploring and Curating Trustworthy Decision Trees with Interactive Visualization

Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin
IEEE Visualization Conference (VIS), 2022
paper / code

InviCloak: An End-to-End Approach to Privacy and Performance in Web Content

Shihan Lin, Rui Xin, Aayush Goel, and Xiaowei Yang
ACM CCS, 2022
paper / code

Multitask learning for citation purpose classification

Alex Oesterling*, Angikar Ghosal*, Haoyang Yu*, Rui Xin*, Yasa Baig*, Lesia Semenova, and Cynthia Rudin
Second Workshop on Scholarly Document Processing, NAACL, 2021

Design and source code from Jon Barron's website and Leonid Keselman's fork