| Research Interests of Qiangfu Zhao |
The "KERNEL" of our research activities is machine learning, which is
an important branch in artificial intelligence (AI). The learning
models we are using include neural networks (NNs), decision trees
(DTs), and some hybrid models. So far we have studied learning of
distance-based neural networks (DBNNs), induction of neural network
trees (NNTrees), and induction of nearest neighbor classification
trees (NNC-Trees), and got many interesting results. Currently, we are
especially interested in applications of machine learning to face
pattern recognition, document classification and analysis, development
of user friendly systems, authentication of card holders, and so
on. So far, we have published many refereed papers in journals and
international conferences. We have also filed several patents related
to our researches. We welcome students who are interested in AI and
its applications to join us. We also hope to have more chance to
collaborate with industries.
References
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