Yong Zhuang

College of Computing. GVSU.

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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 15, 2026 I joined The IEEE International Conference on Big Data (IEEE BigData 2026) as a Program Committee Member.
Nov 12, 2025 Our paper “InfoST: An Information-Theoretic Framework for Evaluating Spatio-Temporal Prediction” was accepted for publication in Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications at IEEE International Conference on Data Mining (ICDM) 2025.
May 30, 2025 I joined The IEEE International Conference on Data Mining (ICDM 2025) as a Program Committee Member.
May 17, 2025 I joined the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025) as a Program Committee Member.
Mar 25, 2025 I joined The IEEE International Conference on Big Data (IEEE BigData 2025) as a Program Committee Member.