Research Interests
Machine Learning
Principles, theories, and technologies of machine learning based on statistics, information theory, linguistics, etc. to design intelligent learning agents. Theoretical understanding and algorithm design of deep learning and reinforcement learning.
Data Mining
Discovery of knowledge from big data using machine learning algorithms in a variety of applications such as video understanding, recommender systems, social networks, bioinformations, fintech, robotics, etc. Parallel and distributed data mining with multi-core/GPUs.
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