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Qiuwen Lou
Qiuwen Lou
Verified email at nd.edu
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Cited by
Cited by
Year
Design flow of accelerating hybrid extremely low bit-width neural network in embedded FPGA
J Wang, Q Lou, X Zhang, C Zhu, Y Lin, D Chen
2018 28th international conference on field programmable logic and …, 2018
1312018
Device-circuit-architecture co-exploration for computing-in-memory neural accelerators
W Jiang, Q Lou, Z Yan, L Yang, J Hu, XS Hu, Y Shi
IEEE Transactions on Computers 70 (4), 595-605, 2020
872020
A mixed signal architecture for convolutional neural networks
Q Lou, C Pan, J McGuinness, A Horvath, A Naeemi, M Niemier, XS Hu
ACM Journal on Emerging Technologies in Computing Systems (JETC) 15 (2), 1-26, 2019
312019
Cellular neural network friendly convolutional neural networks—CNNs with CNNs
A Horváth, M Hillmer, Q Lou, XS Hu, M Niemier
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
312017
Embedding error correction into crossbars for reliable matrix vector multiplication using emerging devices
Q Lou, T Gao, P Faley, M Niemier, XS Hu, S Joshi
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020
192020
Transland: An adversarial transfer learning approach for migratable urban land usage classification using remote sensing
Y Zhang, R Zong, J Han, H Zheng, Q Lou, D Zhang, D Wang
2019 ieee international conference on big data (big data), 1567-1576, 2019
172019
Hardware design and the competency awareness of a neural network
Y Ding, W Jiang, Q Lou, J Liu, J Xiong, XS Hu, X Xu, Y Shi
Nature Electronics 3 (9), 514-523, 2020
152020
TFET-based operational transconductance amplifier design for CNN systems
Q Lou, I Palit, A Horvath, XS Hu, M Niemier, J Nahas
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 277-282, 2015
132015
Application-driven design exploration for dense ferroelectric embedded non-volatile memories
MM Sharifi, L Pentecost, R Rajaei, A Kazemi, Q Lou, GY Wei, D Brooks, ...
2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021
122021
A uniform modeling methodology for benchmarking dnn accelerators
I Palit, Q Lou, R Perricone, M Niemier, XS Hu
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2019
112019
Energy-efficient convolutional neural network based on cellular neural network using beyond-CMOS technologies
C Pan, Q Lou, M Niemier, S Hu, A Naeemi
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019
82019
Nonvolatile spintronic memory cells for neural networks
AW Stephan, Q Lou, MT Niemier, XS Hu, SJ Koester
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019
72019
Cellular neural networks for image analysis using steep slope devices
I Palit, Q Lou, M Niemier, B Sedighi, J Nahas, XS Hu
2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 92-95, 2014
72014
Analytically modeling power and performance of a CNN system
I Palit, Q Lou, N Acampora, J Nahas, M Niemier, XS Hu
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 186-193, 2015
62015
A hybrid optical-electrical analog deep learning accelerator using incoherent optical signals
M Yang, Q Lou, R Rajaei, MR Jokar, J Qiu, Y Liu, A Udupa, FT Chong, ...
ACM Journal on Emerging Technologies in Computing Systems 19 (2), 1-24, 2023
22023
Analytical Models for Calculating Power and Performance of a CNN System
I Palit, B Sedighi, Q Lou, M Niemier, J Nahas, XS Hu
unpublished, 0
2
Super efficient neural network for compression artifacts reduction and super resolution
W Ma, Q Lou, A Kazemi, J Faraone, T Afzal
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Cross-Layer Energy Efficient Hardware Design and Benchmarking with CMOS and Emerging Technologies
Q Lou
University of Notre Dame, 2020
2020
Application-level Studies of Cellular Neural Network-based Hardware Accelerators
Q Lou, I Palit, T Li, A Horvath, M Niemier, XS Hu
arXiv preprint arXiv:1903.06649, 2019
2019
Simulation Framework and Hardware-in-the-Loop Validation for Analog Compute Accelerators
J Weiss, G Olmschenk, Q Lou, F Horst, BJ Offrein
Congnitive Computing, 2018, 2018
2018
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Articles 1–20