Junbin Gao

Junbin Gao is Professor at the University of Sydney Business School (BUS). His research interests include Knowledge representation and reasoning, Optimisation, Deep learning, Semi- and unsupervised learning, Image processing, Numerical analysis, Signal processing, and Neural networks. He is affiliated with The University of Sydney and has a profile page at https://profiles.sydney.edu.au/junbin.gao. His work involves new machine learning algorithms for big data in business, and he has received research grants from the Australian Research Council (ARC).

Professor Junbin Gao is a researcher in the Discipline of Business Analytics at the University of Sydney, specializing in Statistical Machine Learning, Big Data Analytics, Learning on Manifolds, Computer Vision, and Image Analysis. His work focuses on developing advanced machine learning techniques for data-driven applications, including traffic prediction, image segmentation, and person re-identification. He has contributed to the development of models such as graph convolution networks, deep attention-based networks, and diffusion models for time-series analysis. His research emphasizes the integration of statistical methods with machine learning to address complex problems in computer vision and data science.