Si Memristive devices applied to memory and neuromorphic circuits. - Sung Hyun Jo; Kuk-Hwan Kim; Ting Chang; Siddharth Gaba; Wei Lu 003 (ISCAS, 2010)

Two-terminal resistive switches (memristors) for memory and logic applications. - Wei Lu 003; Kuk-Hwan Kim; Ting Chang; Siddharth Gaba (ASP-DAC, 2011)

Time-dependency of the threshold voltage in memristive devices. - Eero Lehtonen; Jussi H. Poikonen; Mika Laiho; Wei Lu 003 (ISCAS, 2011)

Memristive analog arithmetic within cellular arrays. - Mika Laiho; Eero Lehtonen; Wei Lu 003 (ISCAS, 2012)

Stochastic Memristive Devices for Computing and Neuromorphic Applications - Siddharth Gaba; Patrick Sheridan; Jiantao Zhou 003; Shinhyun Choi; Wei D. Lu (CoRR, 2013)

Memristive devices for stochastic computing. - Siddharth Gaba; Phil Knag; Zhengya Zhang; Wei Lu 003 (ISCAS, 2014)

Analog signal processing on a FPAA/memristor hybrid circuit. - Mika Laiho; Eero Lehtonen; Jennifer O. Hasler; Jiantao Zhou 003; Chao Du; Wei Lu 003; Jussi H. Poikonen (ISCAS, 2014)

Pattern recognition with memristor networks. - Patrick Sheridan; Wen Ma; Wei D. Lu (ISCAS, 2014)

3D Vertical Dual-Layer Oxide Memristive Devices for Neuromorphic Computing. - Siddharth Gaba; Patrick Sheridan; Chao Du; Wei D. Lu (CoRR, 2014)

3D ReRAM with Field Assisted Super-Linear Threshold (FASTTM) Selector technology for super-dense, low power, low latency data storage systems. - Sung Hyun Jo; Tanmay Kumar; Mehdi Asnaashari; Wei D. Lu; Hagop Nazarian (ASP-DAC, 2015)

Photoelectric characteristics of Schottky diode based on a Ge/Si core/shell nanowire. - Dongwoo Suh; Lin Chen; Wei Lu 003 (ICST, 2015)

Defect consideratons for robust sparse coding using memristor arrays. - Patrick Sheridan; Wei D. Lu (NANOARCH, 2015)

Guest Editorial Solid-state Memristive Devices and Systems. - Themis Prodromakis; Wei Lu 003; Jianhua Joshua Yang; Omid Kavehei (IEEE J. Emerg. Sel. Topics Circuits Syst., 2015)

A Low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory. - Amirali Ghofrani; Miguel Angel Lastras-Montaño; Siddharth Gaba; Melika Payvand; Wei Lu 003; Luke Theogarajan; Kwang-Ting Cheng (ACM J. Emerg. Technol. Comput. Syst., 2015)

FPAA/Memristor Hybrid Computing Infrastructure. - Mika Laiho; Jennifer O. Hasler; Jiantao Zhou 003; Chao Du; Wei Lu 003; Eero Lehtonen; Jussi H. Poikonen (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Periodic Orbits Analysis in a Class of Planar Liénard Systems with State-Triggered Jumps. - Fangfang Jiang; Wei D. Lu; Jitao Sun (Int. J. Bifurc. Chaos, 2016)

Feature Extraction Using Memristor Networks. - Patrick Sheridan; Chao Du; Wei D. Lu (IEEE Trans. Neural Networks Learn. Syst., 2016)

Epsilon-greedy strategy for online dictionary learning with realistic memristor array constraints. - Fuxi Cai; Wei D. Lu (NANOARCH, 2017)

Hybrid neural network using binary RRAM devices. - Mohammed Affan Zidan; YeonJoo Jeong; Wei D. Lu (NANOARCH, 2017)

RRAM fabric for neuromorphic and reconfigurable compute-in-memory systems. - Mohammed Affan Zidan; Wei D. Lu (CICC, 2018)

Feature extraction and analysis using memristor networks. - Fuxi Cai; Wei D. Lu (ISCAS, 2018)

Neuromorphic computing with memristive devices. - Wen Ma; Mohammed Affan Zidan; Wei D. Lu (Sci. China Inf. Sci., 2018)

Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. - Mohammed Affan Zidan; YeonJoo Jeong; Jong Hoon Shin; Chao Du; Zhengya Zhang; Wei D. Lu (IEEE Trans. Multi Scale Comput. Syst., 2018)

Memristors and Memristive Devices for Neuromorphic Computing. - Patrick Sheridan; Wei Lu 003 (Handbook of Memristor Networks, 2019)

2D materials in resistive memory and neuromorphic computing system applications. - Wei D. Lu (DRC, 2019)

Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. - Fuxi Cai; Suhas Kumar; Thomas Van Vaerenbergh; Rui Liu 005; Can Li; Shimeng Yu; Qiangfei Xia; J. Joshua Yang; Raymond G. Beausoleil; Wei Lu 003; John Paul Strachan (CoRR, 2019)

A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network. - Seungbum Baek; Jason Kamran Eshraghian; Wesley Thio; Yulia Sandamirskaya; Herbert H. C. Iu; Wei D. Lu (AICAS, 2020)

Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator. - Seungbum Baek; Jason Kamran Eshraghian; Wesley Thio; Yulia Sandamirskaya; Herbert H. C. Iu; Wei D. Lu (AICAS, 2020)

Deep Neural Network Mapping and Performance Analysis on Tiled RRAM Architecture. - Xinxin Wang 002; Qiwen Wang; Fan-Hsuan Meng; Seung Hwan Lee; Wei D. Lu (AICAS, 2020)

A Crossbar-Based In-Memory Computing Architecture. - Xinxin Wang 002; Mohammed Affan Zidan; Wei D. Lu (IEEE Trans. Circuits Syst., 2020)

Stabilization of Mode-Dependent Impulsive Hybrid Systems Driven by DFA With Mixed-Mode Effects. - Junhui Zhang; Anni Li; Wei D. Lu; Jitao Sun (IEEE Trans. Neural Networks Learn. Syst., 2020)

Device Non-Ideality Effects and Architecture-Aware Training in RRAM In-Memory Computing Modules. - Qiwen Wang; Yongmo Park; Wei D. Lu (ISCAS, 2021)

Neural Functional Connectivity Reconstruction with Second-Order Memristor Network. - Yuting Wu; John Moon; Xiaojian Zhu; Wei D. Lu (Adv. Intell. Syst., 2021)

Neural connectivity inference with spike-timing dependent plasticity network. - John Moon; Yuting Wu; Xiaojian Zhu; Wei D. Lu (Sci. China Inf. Sci., 2021)

Hierarchical Architectures in Reservoir Computing Systems. - John Moon; Wei D. Lu (CoRR, 2021)

Hierarchical architectures in reservoir computing systems. - John Moon; Yuting Wu; Wei D. Lu (Neuromorph. Comput. Eng., 2021)

How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation. - Sung-Mo Steve Kang 001; Donguk Choi; Jason Kamran Eshraghian; Peng Zhou 017; Jieun Kim; Bai-Sun Kong; Xiaojian Zhu; Ahmet Samil Demirkol; Alon Ascoli; Ronald Tetzlaff; Wei D. Lu; Leon O. Chua (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Memristive Stochastic Computing for Deep Learning Parameter Optimization. - Corey Lammie; Jason Kamran Eshraghian; Wei D. Lu; Mostafa Rahimi Azghadi (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Navigating Local Minima in Quantized Spiking Neural Networks. - Jason Kamran Eshraghian; Corey Lammie; Mostafa Rahimi Azghadi; Wei D. Lu (AICAS, 2022)

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. - Corey Lammie; Jason Kamran Eshraghian; Chenqi Li; Amirali Amirsoleimani; Roman Genov; Wei D. Lu; Mostafa Rahimi Azghadi (ISCAS, 2022)

Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses. - Yuting Wu; Sangmin Yoo; Fan-Hsuan Meng; Wei D. Lu (ISCAS, 2022)

An 8-bit 20.7 TOPS/W Multi-Level Cell ReRAM-based Compute Engine. - Justin M. Correll; Lu Jie 001; Seungheun Song; Seungjong Lee; Junkang Zhu; Wei Tang 010; Luke Wormald; Jack Erhardt; Nicolas Breil; Roger Quon; Deepak Kamalanathan; Siddarth A. Krishnan; et al. (VLSI Technology and Circuits, 2022)

Device Variation Effects on Neural Network Inference Accuracy in Analog In-Memory Computing Systems. - Qiwen Wang; Yongmo Park; Wei D. Lu (Adv. Intell. Syst., 2022)

Columnar Learning Networks for Multisensory Spatiotemporal Learning. - Sangmin Yoo; Yongmo Park; Ziyu Wang; Yuting Wu; Saaketh Medepalli; Wesley Thio; Wei D. Lu (Adv. Intell. Syst., 2022)

The fine line between dead neurons and sparsity in binarized spiking neural networks. - Jason Kamran Eshraghian; Wei D. Lu (CoRR, 2022)

Intelligence Processing Units Accelerate Neuromorphic Learning. - Pao-Sheng Vincent Sun; Alexander Titterton; Anjlee Gopiani; Tim Santos; Arindam Basu; Wei D. Lu; Jason Kamran Eshraghian (CoRR, 2022)

Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks. - Fan-Hsuan Meng; Xinxin Wang 002; Ziyu Wang; Eric Yeu-Jer Lee; Wei D. Lu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays. - Peng Zhou 017; Dong-Uk Choi; Wei D. Lu; Sung-Mo Steve Kang 001; Jason Kamran Eshraghian (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

TAICHI: A Tiled Architecture for In-Memory Computing and Heterogeneous Integration. - Xinxin Wang 002; Reid Pinkham; Mohammed Affan Zidan; Fan-Hsuan Meng; Michael P. Flynn; Zhengya Zhang; Wei D. Lu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network. - Sangmin Yoo; Eric Yeu-Jer Lee; Ziyu Wang; Xinxin Wang 002; Wei D. Lu (CoRR, 2023)

Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training. - Yuting Wu; Qiwen Wang; Ziyu Wang; Xinxin Wang 002; Buvna Ayyagari; Siddarth A. Krishnan; Michael Chudzik; Wei D. Lu (CoRR, 2023)

PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers. - Yuting Wu; Ziyu Wang; Wei D. Lu (CoRR, 2023)

Research Challenges for Energy-Efficient Computing in Automated Vehicles. - Robert P. Dick; Rob Aitken; Jace Mogill; John Paul Strachan; Kirk Bresniker; Wei Lu 003; Yorie Nakahira; Zhiyong Li; Matthew J. Marinella; William Severa; A. Alec Talin; Craig M. Vineyard; et al. (Computer, 2023)

Training Spiking Neural Networks Using Lessons From Deep Learning. - Jason K. Eshraghian; Max Ward 001; Emre O. Neftci; Xinxin Wang 002; Gregor Lenz; Girish Dwivedi; Mohammed Bennamoun; Doo Seok Jeong; Wei D. Lu (Proc. IEEE, 2023)

PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. - Ziyu Wang; Yuting Wu; Yongmo Park; Sangmin Yoo; Xinxin Wang 002; Jason K. Eshraghian; Wei D. Lu (Adv. Intell. Syst., 2023)

Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms. - Yongmo Park; Subhankar Pal; Aporva Amarnath; Karthik Swaminathan; Wei D. Lu; Alper Buyuktosunoglu; Pradip Bose (IEEE Comput. Archit. Lett., 2024)

Editorial: Focus issue on in-memory computing. - Wei D. Lu; Melika Payvand; Yuchao Yang 001 (Neuromorph. Comput. Eng., 2024)

Side-Channel Attack Analysis on In-Memory Computing Architectures. - Ziyu Wang; Fan-Hsuan Meng; Yongmo Park; Jason K. Eshraghian; Wei D. Lu (IEEE Trans. Emerg. Top. Comput., 2024)

Exploiting deep learning accelerators for neuromorphic workloads. - Pao-Sheng Vincent Sun; Alexander Titterton; Anjlee Gopiani; Tim Santos; Arindam Basu; Wei D. Lu; Jason K. Eshraghian (Neuromorph. Comput. Eng., 2024)

TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems. - Fan-Hsuan Meng; Yuting Wu; Zhengya Zhang; Wei D. Lu (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network. - Sangmnin Yoo; Eric Yeu-Jer Lee; Ziyu Wang; Xinxin Wang 002; Wei D. Lu (Adv. Intell. Syst., 2024)

FHENDI: A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications. - Yongmo Park; Aporva Amarnath; Subhankar Pal; Karthik Swaminathan; Alper Buyuktosunoglu; Hayim Shaul; Ehud Aharoni; Nir Drucker; Wei D. Lu; Omri Soceanu; Pradip Bose (HPCA, 2025)

State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions. - Sen Lu; Xiaoyu Zhang; Mingtao Hu; Eric Yeu-Jer Lee; Soohyeon Kim; Wei D. Lu (CoRR, 2025)

An 8-bit 20.7 TOPS/W Multilevel Cell ReRAM Macro With ADC-Assisted Bit-Serial Processing. - Justin M. Correll; Lu Jie 001; Seungheun Song; Seungjong Lee; Junkang Zhu; Wei Tang 010; Luke Wormald; Jack Erhardt; Nicolas Breil; Roger Quon; Deepak Kamalanathan; Siddarth A. Krishnan; et al. (IEEE J. Solid State Circuits, 2025)