Wei Lu

Professor

University of Michigan

United States

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About

Professor Wei Lu is a faculty member at the University of Michigan. His research primarily focuses on advanced computing technologies, including memristor crossbar arrays and compute-in-memory accelerators. His recent publications explore applications in deep learning acceleration, neuromorphic computing, and innovative data processing techniques. Professor Lu is dedicated to advancing the field of in-memory computing and its practical applications.

Articles (20)

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Associate Professor

University of Modena and Reggio Emilia

ITALY

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Jason K. Eshraghian

Assistant Professor

University of California, Santa Cruz

UNITED STATES

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Wei Lu

Research Interests

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About

Articles (20)

A Non-Linear Partial Differential Equation Solver Based on Analog Memristor Crossbar Arrays

Perspective: Entropy-stabilized oxide memristors

Efficient data processing using tunable entropy-stabilized oxide memristors

Editorial: Focus issue on in-memory computing

Interspecies-chimera machine vision with polarimetry for real-time navigation and anti-glare pattern recognition

Safe, secure and trustworthy compute-in-memory accelerators

Compute-In-Memory Technologies for Deep Learning Acceleration

Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms

Exploiting deep learning accelerators for neuromorphic workloads

RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network

Research Challenges for Energy-Efficient Computing in Automated Vehicles

Side-Channel Attack Analysis on In-Memory Computing Architectures

Training Spiking Neural Networks Using Lessons From Deep Learning

Memristive technologies for data storage, computation, encryption, and radio-frequency communication

Columnar Learning Networks for Multisensory Spatiotemporal Learning

Device Variation Effects on Neural Network Inference Accuracy in Analog In‐Memory Computing Systems

Tuning Resistive Switching Behavior by Controlling Internal Ionic Dynamics for Biorealistic Implementation of Synaptic Plasticity

Dynamical memristors for higher-complexity neuromorphic computing

Dynamic resistive switching devices for neuromorphic computing

Investigating Selectorless Property within Niobium Devices for Storage Applications

Collaborators (11)

Max Ward

Hanjong Paik

Robert Dick

J. B. Roldán

Yimin A. Wu

Emmanouil Kioupakis

Sieun Chae

Huili Xing

Melika Payvand

Francesco Maria PUGLISI

Jason K. Eshraghian

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