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ORCIDWei Lu 0003
Wei D. Lu
Person information
- affiliation: University of Michigan, Department of Electrical Engineering and Computer Science, MI, USA
- affiliation (2003 - 2005): Harvard University, Cambridge, MA, USA
- affiliation (PhD 2003): Rice University, Houston, TX, USA
- affiliation (PhD 2003): Tsinghua University, Beijing, China
Other persons with the same name
- Wei Lu — disambiguation page
- Wei Lu 0001
![[0000-0002-4068-1766]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4068-1766")
— Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China (and 2 more) - Wei Lu 0002 — Rupert Labs, Mountain View, CA, USA (and 1 more)
- Wei Lu 0004 — Oak Ridge Naional Laboratory, Computational Science and Engineering Division, Knoxville, TN, USA (and 1 more)
- Wei Lu 0005 — Dalian University of Technology, School of Control Science and Engineering, China
- Wei Lu 0006 — University of Electronic Science and Technology of China, School of Management and Economics, Chengdu, China (and 1 more)
- Wei Lu 0007 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Wei Lu 0008 — Wuhan University, School of Resource and Environmental Sciences, China
- Wei Lu 0009 — Hefei University of Technology, School of Electrical Engineering and Automation, China
- Wei Lu 0010 — Beijing Jiaotong University, School of Software Engineering, China (and 1 more)
- Wei Lu 0011 — Singapore University of Technology and Design, Singapore (and 1 more)
- Wei Lu 0012 — University of Paris-Saclay, France
- Wei Lu 0013 — Air Force Early Warning Academy, Wuhan, China
- Wei Lu 0014 — Tianjin University, School of Microelectronics, China
- Wei Lu 0015 — Renmin University of China, School of Information and DEKE, Beijing, China
- Wei Lu 0016 — Jiangxi Normal University, School of Software, Nanchang, China
- Wei Lu 0017 — University of New South Wales, Graduate School of Biomedical Engineering, Sydney, NSW, Australia
- Wei Lu 0018 — Keene State College, NH, USA (and 1 more)
- Wei Lu 0019 — Wuhan University, School of Information Management, China
- Wei Lu 0020 — University of Toronto, Toronto, ON, Canada
- Wei Lu 0021 — Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering, China
- Wei Lu 0022 — Southeast University, School of Mathematics, Nanjing, China
- Wei Lu 0023 — Huawei Technologies Canada Company Ltd., Edmonton, Canada
- Wei Lu 0024 — Iowa State University, Ames, IA, USA
- Wei Lu 0025 — Memorial Sloan Kettering Cancer Center, Department of Medical Physics, NY, USA (and 3 more)
- Wei Lu 0026 — Tianjin University, School of Electrical and Information Engineering, China
- Wei Lu 0027 — National Institute of Informatics, Japan (and 1 more)
- Wei Lu 0028 — Hewlett-Packard, IPG R&D Hub, Singapore (and 2 more)
- Wei Lu 0029 — Tsinghua University, Department of Engineering Physics, Beijing, China (and 1 more)
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2020 – today
- 2024
[j24]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): 1172-1183 (2024)- [j23]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): 109-121 (2024) - 2023
- [j22]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) - [j21]Robert P. Dick, Rob Aitken, Jace Mogill, John Paul Strachan, Kirk Bresniker, Wei Lu, Yorie Nakahira, Zhiyong Li, Matthew J. Marinella, William Severa, A. Alec Talin, Craig M. Vineyard, Suhas Kumar, Christian Mailhiot, Lennie Klebanoff:
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56(3): 47-58 (2023) - [j20]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): 1016-1054 (2023) - [i17]Sangmin Yoo, Eric Yeu-Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu:
RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network. CoRR abs/2303.10770 (2023) - [i16]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 abs/2304.11056 (2023) - [i15]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 abs/2305.14547 (2023) - [i14]Yuting Wu, Ziyu Wang, Wei D. Lu:
PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers. CoRR abs/2310.09385 (2023) - 2022
- [j19]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) - [j18]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) - [j17]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): 858-866 (2022) - [j16]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): 888-897 (2022) - [j15]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): 559-563 (2022) - [c24]Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. AICAS 2022: 352-355 - [c23]Yuting Wu, Sangmin Yoo, Fan-Hsuan Meng, Wei D. Lu:
Spatiotemporal Spike Pattern Detection with Second-order Memristive Synapses. ISCAS 2022: 625-628 - [c22]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: 1107-1111 - [c21]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: 264-265 - [i13]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 abs/2201.06703 (2022) - [i12]Jason Kamran Eshraghian, Wei D. Lu:
The fine line between dead neurons and sparsity in binarized spiking neural networks. CoRR abs/2201.11915 (2022) - [i11]Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. CoRR abs/2202.07221 (2022) - [i10]Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Wei D. Lu, Sung-Mo Kang:
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays. CoRR abs/2206.12992 (2022) - [i9]Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason Kamran Eshraghian, Wei D. Lu:
Side-channel attack analysis on in-memory computing architectures. CoRR abs/2209.02792 (2022) - [i8]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 abs/2211.10725 (2022) - 2021
- [j14]Yuting Wu, John Moon, Xiaojian Zhu, Wei D. Lu:
Neural Functional Connectivity Reconstruction with Second-Order Memristor Network. Adv. Intell. Syst. 3(8): 2000276 (2021) - [j13]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) - [j12]John Moon, Yuting Wu, Wei D. Lu:
Hierarchical architectures in reservoir computing systems. Neuromorph. Comput. Eng. 1(1): 14006 (2021) - [j11]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): 4837-4850 (2021) - [j10]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): 1650-1654 (2021) - [c20]Qiwen Wang, Yongmo Park, Wei D. Lu:
Device Non-Ideality Effects and Architecture-Aware Training in RRAM In-Memory Computing Modules. ISCAS 2021: 1-5 - [i7]Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi:
Memristive Stochastic Computing for Deep Learning Parameter Optimization. CoRR abs/2103.06506 (2021) - [i6]John Moon, Wei D. Lu:
Hierarchical Architectures in Reservoir Computing Systems. CoRR abs/2105.06923 (2021) - [i5]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 abs/2109.12894 (2021) - 2020
- [j9]Xinxin Wang, Mohammed Affan Zidan, Wei D. Lu:
A Crossbar-Based In-Memory Computing Architecture. IEEE Trans. Circuits Syst. 67-I(12): 4224-4232 (2020) - [j8]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): 1616-1625 (2020) - [c19]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: 79-83 - [c18]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: 131 - [c17]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: 141-144
2010 – 2019
- 2019
- [c16]Mohammed Affan Zidan, Wei D. Lu:
RRAM fabric for neuromorphic and reconfigurable compute-in-memory systems. CICC 2019: 1-8 - [c15]Wei D. Lu:
2D materials in resistive memory and neuromorphic computing system applications. DRC 2019: 59-60 - [p1]Patrick Sheridan, Wei Lu:
Memristors and Memristive Devices for Neuromorphic Computing. Handbook of Memristor Networks 2019: 369-389 - [i4]Fuxi Cai, Suhas Kumar, Thomas Van Vaerenbergh, Rui Liu, Can Li, Shimeng Yu, Qiangfei Xia, J. Joshua Yang, Raymond G. Beausoleil, Wei Lu, John Paul Strachan:
Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. CoRR abs/1903.11194 (2019) - 2018
- [j7]Wen Ma, Mohammed Affan Zidan, Wei D. Lu:
Neuromorphic computing with memristive devices. Sci. China Inf. Sci. 61(6): 060422:1-060422:9 (2018) - [j6]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): 698-710 (2018) - [c14]Mohammed Affan Zidan, Wei D. Lu:
RRAM fabric for neuromorphic and reconfigurable compute-in-memory systems. CICC 2018: 1-8 - [c13]Fuxi Cai, Wei D. Lu:
Feature extraction and analysis using memristor networks. ISCAS 2018: 1-4 - 2017
- [c12]Fuxi Cai, Wei D. Lu:
Epsilon-greedy strategy for online dictionary learning with realistic memristor array constraints. NANOARCH 2017: 19-20 - [c11]Mohammed Affan Zidan, YeonJoo Jeong, Wei D. Lu:
Hybrid neural network using binary RRAM devices. NANOARCH 2017: 81-82 - 2016
- [j5]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): 1650153:1-1650153:10 (2016) - [j4]Patrick Sheridan, Chao Du, Wei D. Lu:
Feature Extraction Using Memristor Networks. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2327-2336 (2016) - [i3]Mohammed Affan Zidan, YeonJoo Jeong, Jong Hoon Shin, Chao Du, Zhengya Zhang, Wei D. Lu:
Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. CoRR abs/1612.02913 (2016) - 2015
- [j3]Themis Prodromakis, Wei Lu, Jianhua Joshua Yang, Omid Kavehei:
Guest Editorial Solid-state Memristive Devices and Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 5(2): 121-122 (2015) - [j2]Amirali Ghofrani, Miguel Angel Lastras-Montaño, Siddharth Gaba, Melika Payvand, Wei Lu, Luke Theogarajan, Kwang-Ting Cheng:
A Low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory. ACM J. Emerg. Technol. Comput. Syst. 12(1): 3:1-3:18 (2015) - [j1]Mika Laiho, Jennifer O. Hasler, Jiantao Zhou, Chao Du, Wei Lu, Eero Lehtonen, Jussi H. Poikonen:
FPAA/Memristor Hybrid Computing Infrastructure. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(3): 906-915 (2015) - [c10]Sung Hyun Jo, Tanmay Kumar, Mehdi Asnaashari, Wei D. Lu, Hagop Nazarian:
3D ReRAM with Field Assisted Super-Linear Threshold (FASTTM) Selector technology for super-dense, low power, low latency data storage systems. ASP-DAC 2015: 575 - [c9]Dongwoo Suh, Lin Chen, Wei Lu:
Photoelectric characteristics of Schottky diode based on a Ge/Si core/shell nanowire. ICST 2015: 187-190 - [c8]Patrick Sheridan, Wei D. Lu:
Defect consideratons for robust sparse coding using memristor arrays. NANOARCH 2015: 137-138 - 2014
- [c7]Patrick Sheridan, Wen Ma, Wei D. Lu:
Pattern recognition with memristor networks. ISCAS 2014: 1078-1081 - [c6]Mika Laiho, Eero Lehtonen, Jennifer O. Hasler, Jiantao Zhou, Chao Du, Wei Lu, Jussi H. Poikonen:
Analog signal processing on a FPAA/memristor hybrid circuit. ISCAS 2014: 2265-2268 - [c5]Siddharth Gaba, Phil Knag, Zhengya Zhang, Wei Lu:
Memristive devices for stochastic computing. ISCAS 2014: 2592-2595 - [i2]Siddharth Gaba, Patrick Sheridan, Chao Du, Wei D. Lu:
3D Vertical Dual-Layer Oxide Memristive Devices for Neuromorphic Computing. CoRR abs/1404.1158 (2014) - 2013
- [i1]Siddharth Gaba, Patrick Sheridan, Jiantao Zhou, Shinhyun Choi, Wei D. Lu:
Stochastic Memristive Devices for Computing and Neuromorphic Applications. CoRR abs/1304.5993 (2013) - 2012
- [c4]Mika Laiho, Eero Lehtonen, Wei Lu:
Memristive analog arithmetic within cellular arrays. ISCAS 2012: 2665-2668 - 2011
- [c3]Wei Lu, Kuk-Hwan Kim, Ting Chang, Siddharth Gaba:
Two-terminal resistive switches (memristors) for memory and logic applications. ASP-DAC 2011: 217-223 - [c2]Eero Lehtonen, Jussi H. Poikonen, Mika Laiho, Wei Lu:
Time-dependency of the threshold voltage in memristive devices. ISCAS 2011: 2245-2248 - 2010
- [c1]Sung Hyun Jo, Kuk-Hwan Kim, Ting Chang, Siddharth Gaba, Wei Lu:
Si Memristive devices applied to memory and neuromorphic circuits. ISCAS 2010: 13-16
Coauthor Index
Jason Kamran Eshraghian
aka: Jason K. Eshraghian
aka: Jason K. Eshraghian
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