Deep ensemble learning with atrous spatial pyramid networks for protein secondary structure prediction

Y Guo, J Wu, H Ma, S Wang, J Huang - Biomolecules, 2022 - mdpi.com
The secondary structure of proteins is significant for studying the three-dimensional structure
and functions of proteins. Several models from image understanding and natural language …

Gradient-norm based attentive loss for molecular property prediction

H Ma, Y Rong, B Liu, Y Guo, C Yan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Molecular property prediction is one fundamental yet challenging task for drug discovery.
Many studies have addressed this problem by designing deep learning algorithms, eg …

Deep Learning for Molecular Property Prediction

H Ma - 2023 - search.proquest.com
Drug discovery has always been a crucial task for society, and molecular property prediction
is one of the fundamental problem. It is responsible for identifying the target properties or …

DEEP LEARNING FOR PROTEIN PROPERTY AND STRUCTURE PREDICTION

Y Guo - 2022 - mavmatrix.uta.edu
I present my work towards solving the fundamental, challenging, and valuable problem for
protein property and structure prediction. Specifically, I focus on solving the problem from …