Ruixin Guo's Homepage

Welcome to my homepage! I am currently a PhD candidate at Kent State University and expect to graduate in 2027.

My research interests are in the statistical and analytical aspects of machine learning, especially statistical learning theory. I am passionate about developing simple theories that help explain and solve complex real-world problems across diverse fields, including deep learning, recommender systems and differential privacy. I am also interested in accelerating large-scale machine learning tasks through high-performance computing and algorithm optimization.

Curriculum Vitae

Selected Publications

Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss
Ruixin Guo*, Xinyu Li*, Hao Zhou, Yang Zhou, Ruoming Jin
International Conference on Learning Representations (ICLR), 2026.
[paper] [code] [slides]

PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
Ruixin Guo, Ruoming Jin, Xinyu Li, Yang Zhou
Neural Information Processing Systems (NeurIPS), 2025.
[paper] [code] [slides]

BaPa: A novel approach of improving load balance in parallel matrix factorization for recommender systems
Ruixin Guo, Feng Zhang, Lizhe Wang, Wusheng Zhang, Xinya Lei, Rajiv Ranjan, Albert Y. Zomaya
IEEE Transactions on Computers, 2020.
[paper] [code]

Full Publications

Google Scholar

Software

I developed an ImageJ plugin for biomedical image processing, which serves as the primary tool in my co-authored papers [JMR] [CP].