Yan Zuo

Yan completed his PhD titled “Advances in Decision Forests and Ferns with Applications in Deep Representation Learning for Computer Vision” in 2019 under the supervision of Chief Investigator Professor Tom Drummond. During his PhD, his research focused on a family of learning algorithms categorised as ensemble learning methods. His work involved investigating methods for incorporating decision forests and decision ferns within deep learning frameworks and applying them to computer vision. These applications include a range of tasks including image classification, image segmentation, image synthesis and video prediction. He then joined the Centre as a Research Fellow in June 2019 and his current research is focused on solving problems in machine perceptron using learning approaches such as Generative Adversarial Networks and Reinforcement Learning for navigation and mapping within the Learning project of the Centre.

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