10 citations · 24 across the 10 of their papers we have counts for
11 papers
Understanding LLM Hallucinations Caused by Soft Errors
Jinghao Wen, Dongning Ma, Ruixuan Wang +2
While hallucinations in Large Language Models (LLMs) have been extensively studied from a software perspective, limited attention has been paid to hardware-level factors. In this p…
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
Dongning Ma, Xun Jiao, Fred Lin +5
Deep recommendation systems (DRS) heavily depend on specialized HPC hardware and accelerators to optimize energy, efficiency, and recommendation quality. Despite the growing number…
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…
MoleHD: Ultra-Low-Cost Drug Discovery using Hyperdimensional Computing
Dongning Ma, Rahul Thapa, Xun Jiao
Modern drug discovery is often time-consuming, complex and cost-ineffective due to the large volume of molecular data and complicated molecular properties. Recently, machine learni…
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
Rahul Thapa, Dongning Ma, Xun Jiao
Inspired by the way human brain works, the emerging hyperdimensional computing (HDC) is getting more and more attention. HDC is an emerging computing scheme based on the working me…
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
Dongning Ma, Jianmin Guo, Yu Jiang +1
Brain-inspired hyperdimensional computing (HDC) is an emerging computational paradigm that mimics brain cognition and leverages hyperdimensional vectors with fully distributed holo…
Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS
Dongning Ma, Meltem Izzetoglu, Roee Holtzer +1
Decline in gait features is common in older adults and an indicator of increased risk of disability, morbidity, and mortality. Under dual task walking (DTW) conditions, further deg…
MiabNET: Message-in-a-bottle Protocol for MANET
Dongning Ma
In this short paper, we propose MiabNET, a reactive protocol for Mobile Ad-hoc Networks (MANET). This protocol leverages the concept of "message-in-a-bottle" to spread the routing…