Rate My Professor Chang Xu

University of Sydney

Computer Science Engineering Artificial Intelligence Computer Vision Machine Learning Generative Artificial Intelligence

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5.010/28/2025

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About Chang

Chang Xu is an ARC Future Fellow and Associate Professor in Machine Learning and Computer Vision at the School of Computer Science, Faculty of Engineering, University of Sydney. He received his PhD degree from Peking University. His research focuses on machine learning algorithms and their applications in computer vision, with over 100 publications in top journals and conferences. Key contributions include advancements in efficient neural networks, vision transformers, multi-view learning, and generative models. Notable publications are GhostNet: More Features from Cheap Operations (CVPR 2020), Pre-trained Image Processing Transformer (2021), A Survey on Multi-view Learning (2013), CMT: Convolutional Neural Networks Meet Vision Transformers (2022), and Octo: An Open-source Generalist Robot Policy (2024). Xu collaborates on interdisciplinary projects connecting generative AI with climate science, neuroscience, and medical imaging.