Wei D. Lu

63 papers A* 1C 5Journal 45Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
ADEPT: Adaptive Dynamic Early-Exit Process for Transformers.
CoRR
Sangmin Yoo, Srikanth Malla, Chiho Choi, Wei D. Lu, Joon Hee Choi
2026 J jnl
Noise-Tolerant CIM-DNNs Explained.
IEEE Trans. Neural Networks Learn. Syst.
Fan-Hsuan Meng, Eric Yeu-Jer Lee, Yuting Wu, Ziyu Wang, Wei D. Lu
2025 J jnl
An 8-bit 20.7 TOPS/W Multilevel Cell ReRAM Macro With ADC-Assisted Bit-Serial Processing.
IEEE J. Solid State Circuits
Justin M. Correll, Lu Jie, Seungheun Song, Seungjong Lee, Junkang Zhu, Wei Tang, Luke Wormald, Jack Erhardt, Nicolas Breil, Roger Quon, Deepak Kamalanathan, Siddarth A. Krishnan, Michael Chudzik, Wei D. Lu, Zhengya Zhang, Michael P. Flynn
2025 J jnl
Compute-in-Memory Implementation of State Space Models for Event Sequence Processing.
CoRR
Xiaoyu Zhang, Mingtao Hu, Sen Lu, Soohyeon Kim, Eric Yeu-Jer Lee, Yuyang Liu, Wei D. Lu
2025 A* conf
FHENDI: A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications.
HPCA
Yongmo Park, Aporva Amarnath, Subhankar Pal, Karthik Swaminathan, Alper Buyuktosunoglu, Hayim Shaul, Ehud Aharoni, Nir Drucker, Wei D. Lu, Omri Soceanu, Pradip Bose
2025 J jnl
State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions.
CoRR
Sen Lu, Xiaoyu Zhang, Mingtao Hu, Eric Yeu-Jer Lee, Soohyeon Kim, Wei D. Lu
2024 J jnl
Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms.
IEEE Comput. Archit. Lett.
Yongmo Park, Subhankar Pal, Aporva Amarnath, Karthik Swaminathan, Wei D. Lu, Alper Buyuktosunoglu, Pradip Bose
2024 J jnl
Editorial: Focus issue on in-memory computing.
Neuromorph. Comput. Eng.
Wei D. Lu, Melika Payvand, Yuchao Yang
2024 J jnl
Exploiting deep learning accelerators for neuromorphic workloads.
Neuromorph. Comput. Eng.
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu, Jason K. Eshraghian
2024 J jnl
RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network.
Adv. Intell. Syst.
Sangmin Yoo, Eric Yeu-Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu
2024 J jnl
Side-Channel Attack Analysis on In-Memory Computing Architectures.
IEEE Trans. Emerg. Top. Comput.
Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason K. Eshraghian, Wei D. Lu
2024 J jnl
TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems.
IEEE Trans. Circuits Syst. I Regul. Pap.
Fan-Hsuan Meng, Yuting Wu, Zhengya Zhang, Wei D. Lu
2023 J jnl
Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training.
CoRR
Yuting Wu, Qiwen Wang, Ziyu Wang, Xinxin Wang, Buvna Ayyagari, Siddarth A. Krishnan, Michael Chudzik, Wei D. Lu
2023 J jnl
PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers.
CoRR
Yuting Wu, Ziyu Wang, Wei D. Lu
2023 J jnl
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators.
Adv. Intell. Syst.
Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu
2023 J jnl
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators.
CoRR
Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu
2023 J jnl
RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network.
CoRR
Sangmin Yoo, Eric Yeu-Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu
2023 J jnl
Training Spiking Neural Networks Using Lessons From Deep Learning.
Proc. IEEE
Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
2022 — conf
An 8-bit 20.7 TOPS/W Multi-Level Cell ReRAM-based Compute Engine.
VLSI Technology and Circuits
Justin M. Correll, Lu Jie, Seungheun Song, Seungjong Lee, Junkang Zhu, Wei Tang, Luke Wormald, Jack Erhardt, Nicolas Breil, Roger Quon, Deepak Kamalanathan, Siddarth A. Krishnan, Michael Chudzik, Zhengya Zhang, Wei D. Lu, Michael P. Flynn
2022 J jnl
Columnar Learning Networks for Multisensory Spatiotemporal Learning.
Adv. Intell. Syst.
Sangmin Yoo, Yongmo Park, Ziyu Wang, Yuting Wu, Saaketh Medepalli, Wesley Thio, Wei D. Lu
2022 C conf
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures.
ISCAS
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
2022 J jnl
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures.
CoRR
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
2022 J jnl
Device Variation Effects on Neural Network Inference Accuracy in Analog In-Memory Computing Systems.
Adv. Intell. Syst.
Qiwen Wang, Yongmo Park, Wei D. Lu
2022 J jnl
Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Fan-Hsuan Meng, Xinxin Wang, Ziyu Wang, Eric Yeu-Jer Lee, Wei D. Lu
2022 J jnl
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Peng Zhou, Dong-Uk Choi, Wei D. Lu, Sung-Mo Steve Kang, Jason Kamran Eshraghian
2022 J jnl
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays.
CoRR
Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Wei D. Lu, Sung-Mo Kang
2022 J jnl
Intelligence Processing Units Accelerate Neuromorphic Learning.
CoRR
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu, Jason Kamran Eshraghian
2022 — conf
Navigating Local Minima in Quantized Spiking Neural Networks.
AICAS
Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
2022 J jnl
Navigating Local Minima in Quantized Spiking Neural Networks.
CoRR
Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
2022 J jnl
Side-channel attack analysis on in-memory computing architectures.
CoRR
Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason Kamran Eshraghian, Wei D. Lu
2022 C conf
Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses.
ISCAS
Yuting Wu, Sangmin Yoo, Fan-Hsuan Meng, Wei D. Lu
2022 J jnl
TAICHI: A Tiled Architecture for In-Memory Computing and Heterogeneous Integration.
IEEE Trans. Circuits Syst. II Express Briefs
Xinxin Wang, Reid Pinkham, Mohammed Affan Zidan, Fan-Hsuan Meng, Michael P. Flynn, Zhengya Zhang, Wei D. Lu
2022 J jnl
The fine line between dead neurons and sparsity in binarized spiking neural networks.
CoRR
Jason Kamran Eshraghian, Wei D. Lu
2021 C conf
Device Non-Ideality Effects and Architecture-Aware Training in RRAM In-Memory Computing Modules.
ISCAS
Qiwen Wang, Yongmo Park, Wei D. Lu
2021 J jnl
Hierarchical Architectures in Reservoir Computing Systems.
CoRR
John Moon, Wei D. Lu
2021 J jnl
Hierarchical architectures in reservoir computing systems.
Neuromorph. Comput. Eng.
John Moon, Yuting Wu, Wei D. Lu
2021 J jnl
How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation.
IEEE Trans. Circuits Syst. I Regul. Pap.
Sung-Mo Steve Kang, Donguk Choi, Jason Kamran Eshraghian, Peng Zhou, Jieun Kim, Bai-Sun Kong, Xiaojian Zhu, Ahmet Samil Demirkol, Alon Ascoli, Ronald Tetzlaff, Wei D. Lu, Leon O. Chua
2021 J jnl
Memristive Stochastic Computing for Deep Learning Parameter Optimization.
CoRR
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
2021 J jnl
Memristive Stochastic Computing for Deep Learning Parameter Optimization.
IEEE Trans. Circuits Syst. II Express Briefs
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
2021 J jnl
Neural Functional Connectivity Reconstruction with Second-Order Memristor Network.
Adv. Intell. Syst.
Yuting Wu, John Moon, Xiaojian Zhu, Wei D. Lu
2021 J jnl
Neural connectivity inference with spike-timing dependent plasticity network.
Sci. China Inf. Sci.
John Moon, Yuting Wu, Xiaojian Zhu, Wei D. Lu
2021 J jnl
Training Spiking Neural Networks Using Lessons From Deep Learning.
CoRR
Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
2020 J jnl
A Crossbar-Based In-Memory Computing Architecture.
IEEE Trans. Circuits Syst.
Xinxin Wang, Mohammed Affan Zidan, Wei D. Lu
2020 — conf
A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network.
AICAS
Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu
2020 — conf
Deep Neural Network Mapping and Performance Analysis on Tiled RRAM Architecture.
AICAS
Xinxin Wang, Qiwen Wang, Fan-Hsuan Meng, Seung Hwan Lee, Wei D. Lu
2020 — conf
Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator.
AICAS
Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu
2020 J jnl
Stabilization of Mode-Dependent Impulsive Hybrid Systems Driven by DFA With Mixed-Mode Effects.
IEEE Trans. Neural Networks Learn. Syst.
Junhui Zhang, Anni Li, Wei D. Lu, Jitao Sun
2019 — conf
2D materials in resistive memory and neuromorphic computing system applications.
DRC
Wei D. Lu
2019 — conf
RRAM fabric for neuromorphic and reconfigurable compute-in-memory systems.
CICC
Mohammed Affan Zidan, Wei D. Lu
2018 C conf
Feature extraction and analysis using memristor networks.
ISCAS
Fuxi Cai, Wei D. Lu
2018 J jnl
Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing.
IEEE Trans. Multi Scale Comput. Syst.
Mohammed Affan Zidan, Yeonjoo Jeong, Jong Hoon Shin, Chao Du, Zhengya Zhang, Wei D. Lu
2018 J jnl
Neuromorphic computing with memristive devices.
Sci. China Inf. Sci.
Wen Ma, Mohammed Affan Zidan, Wei D. Lu
2018 — conf
RRAM fabric for neuromorphic and reconfigurable compute-in-memory systems.
CICC
Mohammed Affan Zidan, Wei D. Lu
2017 — conf
Epsilon-greedy strategy for online dictionary learning with realistic memristor array constraints.
NANOARCH
Fuxi Cai, Wei D. Lu
2017 — conf
Hybrid neural network using binary RRAM devices.
NANOARCH
Mohammed Affan Zidan, Yeonjoo Jeong, Wei D. Lu
2016 J jnl
Feature Extraction Using Memristor Networks.
IEEE Trans. Neural Networks Learn. Syst.
Patrick Sheridan, Chao Du, Wei D. Lu
2016 J jnl
Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing.
CoRR
Mohammed Affan Zidan, Yeonjoo Jeong, Jong Hoon Shin, Chao Du, Zhengya Zhang, Wei D. Lu
2016 J jnl
Periodic Orbits Analysis in a Class of Planar Liénard Systems with State-Triggered Jumps.
Int. J. Bifurc. Chaos
Fangfang Jiang, Wei D. Lu, Jitao Sun
2015 — conf
3D ReRAM with Field Assisted Super-Linear Threshold (FAST
ASP-DAC
Sung Hyun Jo, Tanmay Kumar, Mehdi Asnaashari, Wei D. Lu, Hagop Nazarian
2015 — conf
Defect consideratons for robust sparse coding using memristor arrays.
NANOARCH
Patrick Sheridan, Wei D. Lu
2014 J jnl
3D Vertical Dual-Layer Oxide Memristive Devices for Neuromorphic Computing.
CoRR
Siddharth Gaba, Patrick Sheridan, Chao Du, Wei D. Lu
2014 C conf
Pattern recognition with memristor networks.
ISCAS
Patrick Sheridan, Wen Ma, Wei D. Lu
2013 J jnl
Stochastic Memristive Devices for Computing and Neuromorphic Applications
CoRR
Siddharth Gaba, Patrick Sheridan, Jiantao Zhou, Shinhyun Choi, Wei D. Lu