Talk, Argonne National Laboratory, Lemont, IL, USA
My work aims to improve the quality and performance of volume rendering and study their interplay by holistically considering multiple aspects of a volume rendering pipeline, such as data representations, visualization algorithms, and computing system support.
Conference proceedings talk, Holland Computing Center, Lincoln, NE, USA
Introduction to running deep-learning research projects on the HPC infrastructure of Holland Computing Center.
Talk, Daugherty Water for Food Global Institute (DWFI) Research Forum, Lincoln, NE, USA
We provide a new 3D hyperspectral data capturing feature deep into the soil, where each voxel represents a spectrum vector. For effective analysis of this type of new hyperspectral data, we develop a 3D visualization tool to not only directly visualize the individual spectrum of the soil volume but also provide a way to cluster such high-dimensional data, leveraging a deep learning-based method through autoencoder.