Introduction |
The research direction of our team mainly focuses on artificial intelligence, aiming to solve the key problems in machine learning and pattern recognition by using the techniques of probability&statistics and optimization. Specific topics include but are not limited to supervised learning, semi-supervised learning, weakly-supervised learning, multi-instance and multi-label learning, generalization capability analysis, deep learning, adversarial examples and adversarial robustness, intelligent computing and evolutionary algorithms, and their applications in computer vision, image processing, big data analytic, etc. We have strong connections with the majors and teams of computer science and technology, information and computing science, applied statistics, electronics and information engineering, artificial intelligence, etc., and our researches have strong application orientation.
|