معرفی
Yizong Cheng is Associate Professor in the Department of Computer Science at the University of Cincinnati's College of Engineering and Applied Science. His research develops self-organizing algorithms and machine learning methods for computational biology and pattern recognition.
He holds a PhD from Purdue University (1986). Research interests include self-organizing algorithms, similarity and uncertainty representations, computational biology, machine learning, digital libraries, computer networks, and compilers.
His foundational work includes contributions to mean shift clustering and Kohonen's self-organizing maps. Recent applied research focuses on wireless sensor networks and gene network analysis.
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