Yong Zhuang

College of Computing. GVSU.

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MAK C-2-100

1 Campus Drive

Allendale, MI 49401

I am an Assistant Professor in the School of Computing at Grand Valley State University, specializing in machine learning and data mining.

My research focuses on applied machine learning, with an emphasis on spatio-temporal analysis, time series forecasting, and causal analysis for feature selection. I develop methods to enhance predictive modeling and improve data-driven decision-making across various domains.

I earned my Ph.D. in Computer Science from the University of Massachusetts Boston. Before transitioning to academia, I worked in the tech industry, where I focused on web application design and machine learning system development, integrating practical applications with research advancements.

news

Jan 10, 2025 I serve as the Student Travel Award Co-Chair for The IEEE International Conference on Data Mining (ICDM 2025).
Dec 09, 2024 Our paper, “Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems,” has been accepted for publication in the ACM Transactions on Intelligent Systems and Technology (TIST).
Nov 15, 2024 Our paper “Deep Learning Models for Diabetic Retinopathy Detection: A Comparative Study” was accepted for publication in Workshop on Big Data and AI for Healthcare at IEEE Big Data 2024 Conference.
Mar 31, 2024 I joined the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) as a Program Committee Member.
Mar 19, 2024 I serve as the PC Chair for the Big Data and AI for Healthcare workshop at The IEEE International Conference on Big Data (IEEE BigData 2024).