Qiuwen Lou

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Compression Artifacts

Top Venues

ACM Great Lakes Symposium on VLSI

Publications

Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. CoRR (2024)
Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. WACV (Workshops) (2024)
Mingdai Yang, Qiuwen Lou, Ramin Rajaei, Mohammad Reza Jokar, Junyi Qiu, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM J. Emerg. Technol. Comput. Syst. 19 (2) (2023)
Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. IEEE Trans. Computers 70 (4) (2021)
Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David M. Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. ISLPED (2021)
Mingdai Yang, Mohammad Reza Jokar, Junyi Qiu, Qiuwen Lou, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM Great Lakes Symposium on VLSI (2021)
Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. CoRR (2021)
Qiuwen Lou, Tianqi Gao, Patrick Faley, Michael T. Niemier, Xiaobo Sharon Hu, Siddharth Joshi
Embedding error correction into crossbars for reliable matrix vector multiplication using emerging devices. ISLPED (2020)
Qiuwen Lou, Chenyun Pan, John McGuinness, András Horváth, Azad Naeemi, Michael T. Niemier, Xiaobo Sharon Hu
A Mixed Signal Architecture for Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 15 (2) (2019)
Qiuwen Lou, Indranil Palit, Tang Li, András Horváth, Michael T. Niemier, Xiaobo Sharon Hu
Application-level Studies of Cellular Neural Network-based Hardware Accelerators. CoRR (2019)
Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. IEEE BigData (2019)
Indranil Palit, Qiuwen Lou, Robert Perricone, Michael T. Niemier, Xiaobo Sharon Hu
A Uniform Modeling Methodology for Benchmarking DNN Accelerators. ICCAD (2019)
Andrew W. Stephan, Qiuwen Lou, Michael T. Niemier, Xiaobo Sharon Hu, Steven J. Koester
Nonvolatile Spintronic Memory Cells for Neural Networks. CoRR (2019)
Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. CoRR (2019)
Junsong Wang, Qiuwen Lou, Xiaofan Zhang, Chao Zhu, Yonghua Lin, Deming Chen
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA. CoRR (2018)
Junsong Wang, Qiuwen Lou, Xiaofan Zhang, Chao Zhu, Yonghua Lin, Deming Chen
Design Flow of Accelerating Hybrid Extremely Low Bit-Width Neural Network in Embedded FPGA. FPL (2018)
Qiuwen Lou, Chenyun Pan, John McGuinness, András Horváth, Azad Naeemi, Michael T. Niemier, Xiaobo Sharon Hu
A mixed signal architecture for convolutional neural networks. CoRR (2018)
András Horváth, Michael Hillmer, Qiuwen Lou, Xiaobo Sharon Hu, Michael T. Niemier
Cellular neural network friendly convolutional neural networks - CNNs with CNNs. DATE (2017)
Indranil Palit, Qiuwen Lou, Nicholas Acampora, Joseph Nahas, Michael T. Niemier, Xiaobo Sharon Hu
Analytically Modeling Power and Performance of a CNN System. ICCAD (2015)
Qiuwen Lou, Indranil Palit, András Horváth, Xiaobo Sharon Hu, Michael T. Niemier, Joseph Nahas
TFET-based Operational Transconductance Amplifier Design for CNN Systems. ACM Great Lakes Symposium on VLSI (2015)
Indranil Palit, Qiuwen Lou, Michael T. Niemier, Behnam Sedighi, Joseph Nahas, Xiaobo Sharon Hu
Cellular neural networks for image analysis using steep slope devices. ICCAD (2014)