Jiayu Zhou

Assistant Professor
Computer Science and Engineering
Michigan State University
Email: [Turn on javascirpt to check the link]
Office: Engineering Building 2134
Mail: 428 S Shaw Ln Rm 3115, East Lansing, MI 48824

Short Biography Jiayu Zhou is an assistant professor at Department of Computer Science and Engineering, Michigan State University. Before joining MSU, Jiayu was a staff research scientist at Samsung Research America. Jiayu received his Ph.D. degree in computer science at Arizona State University in 2014. Jiayu has a broad research interest in large-scale machine learning and data mining, and biomedical informatics.

Research Highlights

Jiayu has a broad research interest in large-scale machine learning and data mining, and biomedical informatics.

Learning from Multiple Tasks

Design learning formulations and optimization algorithms to learn multiple related machine learning tasks, performing inductive knowledge transfer among the tasks and improving generalization performance.

MALSAR Software Tutorial
Progression of Alzheimer's Disease

Build machine learning models that understand disease progression and identify signaling biomarkers, from multiple data sources, including medical imaging, genotypes, and other clinical information.

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Biomedical Informatics

Develop efficient and effective machine learning techniques to build predictive models and perform computation phenotyping from large-scale electronic medical records.

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Jiayu would like to thank support from National Science Foundation and Office of Naval Research, through the following research projects:

Jiayu would also like to thank Didi Chuxing and VeChain Foundation for research gifts, and NVIDIA Corporation for the donation of GPU cards. Jiayu is supported by Michigan Alzheimer's Disease Center, Unversity of Michigan as a trainee under NIH/NIA center grant P30AG053760, where Jiayu received Isadore & Margaret Mezey Junior Investigator Travel Award in 2017.


Jiayu is developing new curriculums at both undergraduate and graduate levels, that incorporate the state-of-the-art machine learning research into classroom. Check out the website for my courses Machine Learning @ MSU.

Jiayu would like to thank the teaching resource and support from GitHub Education, Google Cloud Platform Education Grant, and Amazon AWS Educate program. Besides classroom teaching, Jiayu delivered tutorials on his research topics at conferences. The slides can be found below:

Selected Publications

For recent preprints please check out the publication list of ILLIDAN Lab. For the full publication list see Jiayu's Google Scholar. The * symbol indicates that the paper is done when the first author was an intern mentored by Jiayu.


Jiayu serves as an Associate Editor for Neurocomputing, a Guest Editor for EURASIP Journal on Bioinformatics and Systems Biology and EURASIP Journal on Advances in Signal Processing. Besides, Jiayu regularly reviews manuscripts for the following journals: Journal of Machine Learning Research (JMLR), IEEE Transactions on Knowledge and Data Engineering Data (TKDE), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Neural Network Learning Systems (TNNLS), Data Mining and Knowledge Discovery (DMKD), Computational Statistics and Data Analysis (CSDA), Knowledge and Information Systems (KAIS), ACM Transactions on Knowledge Discovery from Data (TKDD), Annals of Applied Statistics (AOAS), BMC Bioinformatics, Pattern Recognition Letters (PRL), International Journal on Artificial Intelligence Tools (IJAIT). Jiayu also served as TPC or organizing committee in the following major conferences:

Year Conferences
2018 NIPS, ICML, KDD, IJCAI, AAAI, SDM, ICHI (Workshop Chair)
2015 NIPS, KDD, IJCAI (Senior PC), SDM, WSDM, PAKDD, ACML, BigData, DSAA, BIBM (Indus. and Gov. Co-Chair)
2014 NIPS, ICDM, SDM, PAKDD, ACML, DSAA, BigData, BigDataScience (Program Vice-Chair)
2013 ACML
Jiayu organized the following workshops:
Some words keep me moving forward

A job well done is its own reward. You take pride in the things you do, not for others to see, not for the respect, or glory, or any other rewards it might bring. You take pride in what you do, because you're doing your best. If you believe in something, you stick with it. When things get difficult, you try harder.

Last updated on May 2019