Yang Li

most citedA memristive deep belief neural network based on silicon synapses

66 citations · 91 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2022★ 13 cited

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices

Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo +8

The tunability of conductance states of various emerging non-volatile memristive devices emulates the plasticity of biological synapses, making it promising in the hardware realiza…

physics.app-ph2022★ 66 cited

A memristive deep belief neural network based on silicon synapses

Wei Wang, Loai Danial, Yang Li +6

Memristor-based neuromorphic computing could overcome the limitations of traditional von Neumann computing architectures -- in which data are shuffled between separate memory and p…

physics.app-ph2022★ 12 cited

Scalable $A l_{2} O_{3} - Ti O_{2}$ Conductive Oxide Interfaces as Defect Reservoirs for Resistive Switching Devices

Yang Li, Wei Wang, Di Zhang +5

Resistive switching devices herald a transformative technology for memory and computation, offering considerable advantages in performance and energy efficiency. Here we employ a s…

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices

A memristive deep belief neural network based on silicon synapses

Scalable Al2​O3​−TiO2​ Conductive Oxide Interfaces as Defect Reservoirs for Resistive Switching Devices

Scalable $A l_{2} O_{3} - Ti O_{2}$ Conductive Oxide Interfaces as Defect Reservoirs for Resistive Switching Devices