10 citations · 24 across the 10 of their papers we have counts for
4 papers · 1 filter
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing
Dongning Ma, Pengfei Zhao, Xun Jiao
Neural Architecture Search (NAS) is an automated architecture engineering method for deep learning design automation, which serves as an alternative to the manual and error-prone p…
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process
Dongning Ma, Xun Jiao
Hyperdimensional Computing (HDC) has obtained abundant attention as an emerging non von Neumann computing paradigm. Inspired by the way human brain functions, HDC leverages high di…
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing
Ruixuan Wang, Dongning Ma, Xun Jiao
Ensemble learning is a classical learning method utilizing a group of weak learners to form a strong learner, which aims to increase the accuracy of the model. Recently, brain-insp…
Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing
Jinghao Wen, Dongning Ma, Sizhe Zhang +2
Hyperdimensional Computing (HDC) is a promising bio-inspired learning paradigm for its advantage of balancing performance and efficiency and has been increasingly applied to the bi…