most citedCOSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2023

BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication

Jingyao Zhang, Mohsen Imani, Elaheh Sadredini

Number Theoretic Transform (NTT) is an essential mathematical tool for computing polynomial multiplication in promising lattice-based cryptography. However, costly division operati…

cs.CR2023

Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection

Junyao Wang, Hanning Chen, Mariam Issa +2

Cybersecurity has emerged as a critical challenge for the industry. With the large complexity of the security landscape, sophisticated and costly deep learning models often fail to…

cs.LG2023

DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification

Junyao Wang, Sitao Huang, Mohsen Imani

Brain-inspired hyperdimensional computing (HDC) has been recently considered a promising learning approach for resource-constrained devices. However, existing approaches use static…

cs.LG20221 cited

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing

Sina Shahhosseini, Yang Ni, Hamidreza Alikhani +4

Health monitoring applications increasingly rely on machine learning techniques to learn end-user physiological and behavioral patterns in everyday settings. Considering the signif…

cs.AR20224 cited

COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search

Che-Kai Liu, Haobang Chen, Mohsen Imani +8

In a number of machine learning models, an input query is searched across the trained class vectors to find the closest feature class vector in cosine similarity metric. However, p…