Wei D. Lu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Parameter Optimization

Computing Systems

Top Venues

Adv. Intell. Syst.

Publications

Wei D. Lu, Melika Payvand, Yuchao Yang
Editorial: Focus issue on in-memory computing. Neuromorph. Comput. Eng. 4 (3) (2024)
Fan-Hsuan Meng, Yuting Wu, Zhengya Zhang, Wei D. Lu
TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (3) (2024)
Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason K. Eshraghian, Wei D. Lu
Side-Channel Attack Analysis on In-Memory Computing Architectures. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu, Jason K. Eshraghian
Exploiting deep learning accelerators for neuromorphic workloads. Neuromorph. Comput. Eng. 4 (1) (2024)
Yongmo Park, Subhankar Pal, Aporva Amarnath, Karthik Swaminathan, Wei D. Lu, Alper Buyuktosunoglu, Pradip Bose
Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms. IEEE Comput. Archit. Lett. 23 (1) (2024)
Sangmin Yoo, Eric Yeu-Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu
RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network. CoRR (2023)
Yuting Wu, Ziyu Wang, Wei D. Lu
PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers. CoRR (2023)
Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE 111 (9) (2023)
Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. CoRR (2023)
Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. Adv. Intell. Syst. 5 (12) (2023)
Yuting Wu, Qiwen Wang, Ziyu Wang, Xinxin Wang, Buvna Ayyagari, Siddarth A. Krishnan, Michael Chudzik, Wei D. Lu
Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training. CoRR (2023)
Sangmin Yoo, Yongmo Park, Ziyu Wang, Yuting Wu, Saaketh Medepalli, Wesley Thio, Wei D. Lu
Columnar Learning Networks for Multisensory Spatiotemporal Learning. Adv. Intell. Syst. 4 (11) (2022)
Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
Navigating Local Minima in Quantized Spiking Neural Networks. AICAS (2022)
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. CoRR (2022)
Jason Kamran Eshraghian, Wei D. Lu
The fine line between dead neurons and sparsity in binarized spiking neural networks. CoRR (2022)
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
An 8-bit 20.7 TOPS/W Multi-Level Cell ReRAM-based Compute Engine. VLSI Technology and Circuits (2022)
Peng Zhou, Dong-Uk Choi, Wei D. Lu, Sung-Mo Steve Kang, Jason Kamran Eshraghian
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (4) (2022)
Xinxin Wang, Reid Pinkham, Mohammed Affan Zidan, Fan-Hsuan Meng, Michael P. Flynn, Zhengya Zhang, Wei D. Lu
TAICHI: A Tiled Architecture for In-Memory Computing and Heterogeneous Integration. IEEE Trans. Circuits Syst. II Express Briefs 69 (2) (2022)
Yuting Wu, Sangmin Yoo, Fan-Hsuan Meng, Wei D. Lu
Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses. ISCAS (2022)
Qiwen Wang, Yongmo Park, Wei D. Lu
Device Variation Effects on Neural Network Inference Accuracy in Analog In-Memory Computing Systems. Adv. Intell. Syst. 4 (8) (2022)
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. ISCAS (2022)
Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason Kamran Eshraghian, Wei D. Lu
Side-channel attack analysis on in-memory computing architectures. CoRR (2022)
Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Wei D. Lu, Sung-Mo Kang
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays. CoRR (2022)
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu, Jason Kamran Eshraghian
Intelligence Processing Units Accelerate Neuromorphic Learning. CoRR (2022)
Jason K. Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
Navigating Local Minima in Quantized Spiking Neural Networks. CoRR (2022)
Fan-Hsuan Meng, Xinxin Wang, Ziyu Wang, Eric Yeu-Jer Lee, Wei D. Lu
Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (4) (2022)
Qiwen Wang, Yongmo Park, Wei D. Lu
Device Non-Ideality Effects and Architecture-Aware Training in RRAM In-Memory Computing Modules. ISCAS (2021)
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
Memristive Stochastic Computing for Deep Learning Parameter Optimization. CoRR (2021)
John Moon, Yuting Wu, Wei D. Lu
Hierarchical architectures in reservoir computing systems. Neuromorph. Comput. Eng. 1 (1) (2021)
Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR (2021)
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
Memristive Stochastic Computing for Deep Learning Parameter Optimization. IEEE Trans. Circuits Syst. II Express Briefs 68 (5) (2021)
John Moon, Yuting Wu, Xiaojian Zhu, Wei D. Lu
Neural connectivity inference with spike-timing dependent plasticity network. Sci. China Inf. Sci. 64 (6) (2021)
John Moon, Wei D. Lu
Hierarchical Architectures in Reservoir Computing Systems. CoRR (2021)
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
How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (12) (2021)
Yuting Wu, John Moon, Xiaojian Zhu, Wei D. Lu
Neural Functional Connectivity Reconstruction with Second-Order Memristor Network. Adv. Intell. Syst. 3 (8) (2021)
Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu
Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator. AICAS (2020)
Xinxin Wang, Mohammed Affan Zidan, Wei D. Lu
A Crossbar-Based In-Memory Computing Architecture. IEEE Trans. Circuits Syst. (12) (2020)
Xinxin Wang, Qiwen Wang, Fan-Hsuan Meng, Seung Hwan Lee, Wei D. Lu
Deep Neural Network Mapping and Performance Analysis on Tiled RRAM Architecture. AICAS (2020)
Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu
A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network. AICAS (2020)
Junhui Zhang, Anni Li, Wei D. Lu, Jitao Sun
Stabilization of Mode-Dependent Impulsive Hybrid Systems Driven by DFA With Mixed-Mode Effects. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Mohammed Affan Zidan, Wei D. Lu
RRAM fabric for neuromorphic and reconfigurable compute-in-memory systems. CICC (2019)
Wei D. Lu
2D materials in resistive memory and neuromorphic computing system applications. DRC (2019)
Wen Ma, Mohammed Affan Zidan, Wei D. Lu
Neuromorphic computing with memristive devices. Sci. China Inf. Sci. 61 (6) (2018)
Mohammed Affan Zidan, YeonJoo Jeong, Jong Hoon Shin, Chao Du, Zhengya Zhang, Wei D. Lu
Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Mohammed Affan Zidan, Wei D. Lu
RRAM fabric for neuromorphic and reconfigurable compute-in-memory systems. CICC (2018)
Fuxi Cai, Wei D. Lu
Feature extraction and analysis using memristor networks. ISCAS (2018)
Mohammed Affan Zidan, YeonJoo Jeong, Wei D. Lu
Hybrid neural network using binary RRAM devices. NANOARCH (2017)
Fuxi Cai, Wei D. Lu
Epsilon-greedy strategy for online dictionary learning with realistic memristor array constraints. NANOARCH (2017)
Fangfang Jiang, Wei D. Lu, Jitao Sun
Periodic Orbits Analysis in a Class of Planar Liénard Systems with State-Triggered Jumps. Int. J. Bifurc. Chaos 26 (9) (2016)
Mohammed Affan Zidan, YeonJoo Jeong, Jong Hoon Shin, Chao Du, Zhengya Zhang, Wei D. Lu
Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. CoRR (2016)
Patrick Sheridan, Chao Du, Wei D. Lu
Feature Extraction Using Memristor Networks. IEEE Trans. Neural Networks Learn. Syst. 27 (11) (2016)
Sung Hyun Jo, Tanmay Kumar, Mehdi Asnaashari, Wei D. Lu, Hagop Nazarian
) Selector technology for super-dense, low power, low latency data storage systems. ASP-DAC (2015)
Patrick Sheridan, Wei D. Lu
Defect consideratons for robust sparse coding using memristor arrays. NANOARCH (2015)
Patrick Sheridan, Wen Ma, Wei D. Lu
Pattern recognition with memristor networks. ISCAS (2014)
Siddharth Gaba, Patrick Sheridan, Chao Du, Wei D. Lu
3D Vertical Dual-Layer Oxide Memristive Devices for Neuromorphic Computing. CoRR (2014)
Siddharth Gaba, Patrick Sheridan, Jiantao Zhou, Shinhyun Choi, Wei D. Lu
Stochastic Memristive Devices for Computing and Neuromorphic Applications CoRR (2013)