Qingzhou Wan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 5

Top Topics

Spiking Neural Networks

Hebbian Learning

Biologically Plausible

Hybrid Intelligent Systems

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Adv. Intell. Syst.

Publications

Marco Rasetto, Qingzhou Wan, Himanshu Akolkar, Feng Xiong, Bertram E. Shi, Ryad Benosman
Building Time-Surfaces by Exploiting the Complex Volatility of an ECRAM Memristor. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Marco Rasetto, Qingzhou Wan, Himanshu Akolkar, Bertram E. Shi, Feng Xiong, Ryad Benosman
The Challenges Ahead for Bio-inspired Neuromorphic Event Processors: How Memristors Dynamic Properties Could Revolutionize Machine Learning. CoRR (2022)
Qingzhou Wan, Marco Rasetto, Mohammad T. Sharbati, John R. Erickson, Sridhar Reddy Velagala, Matthew T. Reilly, Yiyang Li, Ryad Benosman, Feng Xiong
Low-Voltage Electrochemical Li x WO 3 Synapses with Temporal Dynamics for Spiking Neural Networks. Adv. Intell. Syst. 3 (9) (2021)
Qingzhou Wan, Peng Zhang, Qiming Shao, Mohammad T. Sharbati, John R. Erickson, Kang L. Wang, Feng Xiong
Dynamic $(\mathrm{Bi}_{\mathrm{x}}\mathrm{Sb}_{1-\mathrm{x}})_{2}\mathrm{Te}_{\mathrm{3}}$ Synaptic Devices with Programmable Spatio-Temporal Responses. DRC (2019)
Mohammad T. Sharbati, Se Youn Cho, Golnaz Najaf Tomaraei, Qingzhou Wan, Joshua Schlea, Mostafa Bedewy, Feng Xiong
Sheet-rich Silk-base RRAM with Low Switching Voltages and Improved Reliabilities. DRC (2019)