Wei Wang

Orcid: 0000-0002-7206-8659

Affiliations:
  • Peng Cheng Laboratory, Shenzhen, China
  • Technion - Israel Institute of Technology, Viterbi Faculty of Electrical Engineering, Haifa, Israel (2020 - 2021)
  • Polytechnic University of Milan, Italy (2017 - 2020)
  • Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China (PhD 2016)


According to our database1, Wei Wang authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy.
Adv. Intell. Syst., January, 2024

2023
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy.
CoRR, 2023

2022
Memristive deep belief neural network by silicon synapses.
CoRR, 2022

Physical based compact model of Y-Flash memristor for neuromorphic computation.
CoRR, 2022

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices.
Adv. Intell. Syst., 2022

Enhancing Security of Memristor Computing System Through Secure Weight Mapping.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

2021
Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories.
Adv. Intell. Syst., 2021

Memristive Crossbar Arrays for Storage and Computing Applications.
Adv. Intell. Syst., 2021

2020
Adaptive Extreme Edge Computing for Wearable Devices.
CoRR, 2020

Recent Progress in Synaptic Devices Based on 2D Materials.
Adv. Intell. Syst., 2020

2019
A physical model for dual gate a-InGaZnO thin film transistors based on multiple trapping and release mechanism.
Microelectron. J., 2019

A Volatile RRAM Synapse for Neuromorphic Computing.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

In-memory solution of linear systems with crosspoint arrays without iterations.
Proceedings of the Device Research Conference, 2019


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