Wei D. Lu

Wei D. Lu

University of Michigan

H-index: 90

North America-United States

About Wei D. Lu

Wei D. Lu, With an exceptional h-index of 90 and a recent h-index of 64 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of nanoelectronics, memory, memristor, neuromorphic, AI chip.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Training spiking neural networks using lessons from deep learning

TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems

Recent advances and future prospects for memristive materials, devices, and systems

Side-channel attack analysis on in-memory computing architectures

PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators

Wei D. Lu Information

University

Position

Wei D. Lu EECS Professor IEEE Fellow

Citations(all)

39964

Citations(since 2020)

18529

Cited By

29296

hIndex(all)

90

hIndex(since 2020)

64

i10Index(all)

179

i10Index(since 2020)

151

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Wei D. Lu Skills & Research Interests

nanoelectronics

memory

memristor

neuromorphic

AI chip

Top articles of Wei D. Lu

Title

Journal

Author(s)

Publication Date

Compute-In-Memory Technologies for Deep Learning Acceleration

Fan-husan Meng

Wei D Lu

2024/2/5

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

IEEE Computer Architecture Letters

Yongmo Park

Subhankar Pal

Aporva Amarnath

Karthik Swaminathan

Wei D Lu

...

2024/3/27

Exploiting deep learning accelerators for neuromorphic workloads

Neuromorphic Computing and Engineering

Pao-Sheng Vincent Sun

Alexander Titterton

Anjlee Gopiani

Tim Santos

Arindam Basu

...

2024/2/23

Training spiking neural networks using lessons from deep learning

Proceedings of the IEEE

Jason K Eshraghian

Max Ward

Emre O Neftci

Xinxin Wang

Gregor Lenz

...

2023/9/6

TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems

IEEE Transactions on Circuits and Systems I: Regular Papers

Fan-Hsuan Meng

Yuting Wu

Zhengya Zhang

Wei D Lu

2023/12/29

Recent advances and future prospects for memristive materials, devices, and systems

Min-Kyu Song

Ji-Hoon Kang

Xinyuan Zhang

Wonjae Ji

Alon Ascoli

...

2023/6/29

Side-channel attack analysis on in-memory computing architectures

IEEE Transactions on Emerging Topics in Computing

Ziyu Wang

Fan-hsuan Meng

Yongmo Park

Jason K Eshraghian

Wei D Lu

2023/3/20

PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators

Advanced Intelligent Systems

Ziyu Wang

Yuting Wu

Yongmo Park

Sangmin Yoo

Xinxin Wang

...

2023/9/22

RetinaNet: Reservoir-Enabled Time Integrated Attention Network for Event-based Video Processing

arXiv preprint arXiv:2303.10770

Sangmin Yoo

Eric Yeu-Jer Lee

Ziyu Wang

Xinxin Wang

Wei D Lu

2023/3/19

Bulk‐Switching Memristor‐Based Compute‐In‐Memory Module for Deep Neural Network Training

Advanced Materials

Yuting Wu

Qiwen Wang

Ziyu Wang

Xinxin Wang

Buvna Ayyagari

...

2023/11

PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers

arXiv preprint arXiv:2310.09385

Yuting Wu

Ziyu Wang

Wei D Lu

2023/10/13

The fine line between dead neurons and sparsity in binarized spiking neural networks

arXiv preprint arXiv:2201.11915

Jason K Eshraghian

Wei D Lu

2022/1/28

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

Mario Lanza

Abu Sebastian

Wei D Lu

Manuel Le Gallo

Meng-Fan Chang

...

2022/6/3

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

Advanced Electronic Materials

Sangmin Yoo

Yuting Wu

Yongmo Park

Wei D Lu

2022/8

Demonstration of a Multi-Level μA-Range Bulk Switching ReRAM and its Application for Keyword Spotting

Y. Wu

F. Cai

L. Thomas

T. Liu

A. Nourbakhsh

...

2022

Memristor-based binarized spiking neural networks: Challenges and applications

Jason K Eshraghian

Xinxin Wang

Wei D Lu

2022/1/26

Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses

Yuting Wu

Sangmin Yoo

Fan-Hsuan Meng

Wei D Lu

2022/5/27

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

Advanced Intelligent Systems

Qiwen Wang

Yongmo Park

Wei D Lu

2022/8

Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Peng Zhou

Dong-Uk Choi

Wei D Lu

Sung-Mo Kang

Jason K Eshraghian

2022/11/23

Investigating Selectorless Property within Niobium Devices for Storage Applications

ACS Applied Materials & Interfaces

Po-Hsun Chen

Chih-Yang Lin

Ting-Chang Chang

Jason K Eshraghian

Yu-Ting Chao

...

2022/1/3

See List of Professors in Wei D. Lu University(University of Michigan)

Co-Authors

H-index: 52
Yue Wu

Yue Wu

Iowa State University

H-index: 49
Yuchao Yang

Yuchao Yang

Peking University

H-index: 25
Alex Rimberg

Alex Rimberg

Dartmouth College

H-index: 20
Jason K. Eshraghian

Jason K. Eshraghian

University of Michigan

H-index: 19
Shinhyun Choi

Shinhyun Choi

KAIST

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