37 citations · 103 across the 8 of their papers we have counts for
8 papers
S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
Huaicheng Zhang, Ruoxin Wang, Chenlian Zhou +7
As one of the most effective methods for cardiovascular disease (CVD) diagnosis, multi-lead Electrocardiogram (ECG) signals present a characteristic multi-sensor information fusion…
A Novel Field-Free SOT Magnetic Tunnel Junction With Local VCMA-Induced Switching
Rui Zhou, Haiyang Zhang, Hao Wang +3
By integrating the local voltage-controlled magnetic anisotropy (VCMA) effect, Dzyaloshinskii-Moriya interaction (DMI) effect, and spin-orbit torque (SOT) effect, we propose a nove…
A Novel Interface Database of Graphene Nanoribbon from Density Functional Theory
Ao Wu, Jiangxue Huang, Qijun Huang +3
Interfaces play a crucial role in determining the overall performance and functionality of electronic devices and systems. Driven by the data science, machine learning (ML) reveals…
First-principles Prediction of Potential Candidate Materials MCuX (M = V, Nb, Ta; X = S, Se, Te) for Neuromorphic Computing
Baoxing Zhai, Ruiqing Cheng, Tianxing Wang +6
Inspired by the neuro-synaptic frameworks in the human brain, neuromorphic computing is expected to overcome the bottleneck of traditional von-Neumann architecture and be used in a…
A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors
Zhiri Tang, Ruohua Zhu, Ruihan Hu +6
With the development of research on novel memristor model and device, neural networks by integrating various memristor models have become a hot research topic recently. However, st…
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
Ruihan Hu, Qijun Huang, Sheng Chang +2
Machine learning algorithms have been effectively applied into various real world tasks. However, it is difficult to provide high-quality machine learning solutions to accommodate…
Fully Memristive Spiking-Neuron Learning Framework and its Applications on Pattern Recognition and Edge Detection
Zhiri Tang, Yanhua Chen, Shizhuo Ye +5
Fully memristive spiking-neuron learning framework, which uses drift and diffusion memristor models as axon and dendrite respectively, becomes a hot topic recently with the develop…
A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing Mechanism
Zhiri Tang, Ruohua Zhu, Peng Lin +5
Memristive neural networks (MNNs), which use memristors as neurons or synapses, have become a hot research topic recently. However, most memristors are not compatible with mainstre…