基本信息
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职业迁徙
个人简介
Research Interests
Machine Learning
Machine learning is the study of computer algorithms that improve automatically through experience. It is one of the most exciting areas in computer science that have witnessed tremendous developments in the past few decades. Our work ranges from basic research on various machine learning paradigms to their applications.
Knowledge Discovery and Data Mining
This rapidly growing interdisciplinary field merges databases, statistics, machine learning and others in order to extract useful knowledge from data. We are interested in developing scalable methods to deal with different types of complexly structured data, typically temporal, sequential, textual, graphical, and network data. We do applying those methods in solving problems in biomedicine, analysing languages and the Internet.
Computational science
Computational science is science about using math and computing to do research in other sciences. We work on modelling, simulation and computation methods using high performance computers. Our current work includes a simulation-based data mining approach to study the water properties in biological systems and learning methods to study pathogenesis and therapy of liver diseases.
研究兴趣
论文共 293 篇作者统计合作学者相似作者
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semanticscholar(2018)
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