Rate My Professor Hong Zhang

Zhang's research specializations and academic interests include machine learning and biomedical applications, algebraic graph theory, computer networks, and computer and systems architecture. He has produced 19 research outputs, including 15 conference articles, one book, one book chapter, and one article. Key publications include the textbook Computer Graphics Using Java 2D and 3D (Pearson Education, 2007), co-authored with Y. Daniel Liang, which offers an accessible and in-depth presentation of Java 2D and 3D graphics programming fundamentals. Other notable works are "An Experimental Evaluation of a Function in Extremal Combinatorics" (2021, with Kai Wang), "A Novel Naive Bayesian Approach to Inference with Applications to the MNIST Handwritten Digit Classification" (2020, with Kai Wang), "Online Updating for Gaussian Process Learning" (2018, with Hongjun Su), "Hybrid Clustering Based on a Graph Model" (2016, with Hongjun Su), and "Distances and Kernels Based on Cumulative Distribution Functions" (2015, with Hongjun Su). His scholarly contributions align with United Nations Sustainable Development Goals 4 (Quality Education) and 9 (Industry, Innovation, and Infrastructure).