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*I am interested in Machine Learning and Multi-label Learning.
*Specifically, now my first work is to exploit label correlations on multi-label learning, i.e. On Multi-label Text Classification (MLTC), text features can be regarded as detailed description of documents and label sets can be a summarization of documents. Hybrid Topics from text features and label sets by LDA (a method of topic model) can effectively represent the whole label correlations.
<span style="font-size:larger;"><span style="color:#3498db;">'''Resources'''</span></span>
