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Deep Learning in Science and Engineering

Shuiwang Ji, Department of Computer Science & Engineering
Deep Learning: Methods and Applications


The Data Integration, Visualization, and Exploration (DIVE) Lab has been working on developing new deep learning methods and applying these methods in solving real-world problems in biology, neuroscience, and medicine. In this talk, I will describe our deep learning methods for pixel-wise predictive and generative modeling, model compression, graph representation learning, etc. I will also describe how these methods can be used to solve problems.