Short Biography Jiayu Zhou is an associate 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.
To Prospective Students: ILLIDAN Lab is always looking for motivated Ph.D. students and post-doctoral researchers on machine learning research [both Fall and Spring]. Check our whitepaper for details of research, life at ILLIDAN lab. Interested candidates please email your CV and transcripts. Note: I may not be able to reply and confirm every application email, but you will be notified for an interview if you are shortlisted.
Jiayu has a broad research interest in large-scale machine learning and data mining, and biomedical informatics. Please visit ILLIDAN Lab for projects, publication and research activities.
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
Build machine learning models that understand disease progression and identify signaling biomarkers, from multiple data sources, including medical imaging, genotypes, and other clinical information.More Info
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.
For recent preprints please check out the publication list of ILLIDAN Lab. For the full publication list see Jiayu's Google Scholar.
Jiayu serves as an Associate Editor for Neurocomputing and Journal of Alzheimer's Disease, and 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:
|2022||KDD (SPC), ICML|
|2021||KDD, ICLR, ICML, WSDM (SPC), SDM, IJCAI (SPC), CHASE (PC Co-chair)|
|2020||ICLR, IJCAI, AAAI, SDM, ICDM|
|2019||NIPS, ICML, KDD, SDM, IJCAI, AAAI, ICBC, IEEE Blockchain|
|2018||NIPS, ICML, KDD, IJCAI, AAAI, SDM, ICHI (Workshop Chair)|
|2017||NIPS, ICML KDD, SDM, ICDM, CIKM, AISTATS, AAAI, MICCAI|
|2016||ICML, KDD, SDM, ICDM, IJCAI, AAAI, ASONAM|
|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)|
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.