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Works (5)

Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks

ACM Transactions on Reconfigurable Technology and Systems
2023-12-31 | Journal article
DOI: 10.1145/3583075
Contributors: Erwei Wang; Marie Auffret; Georgios-Ilias Stavrou; Peter Y. K. Cheung; George A. Constantinides; Mohamed S. Abdelfattah; James J. Davis
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Enabling Binary Neural Network Training on the Edge

ACM Transactions on Embedded Computing Systems
2023-11-30 | Journal article
DOI: 10.1145/3626100
Contributors: Erwei Wang; James J. Davis; Daniele Moro; Piotr Zielinski; Jia Jie Lim; Claudionor Coelho; Satrajit Chatterjee; Peter Y. K. Cheung; George A. Constantinides
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Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks

Advanced Science
2022-06 | Journal article
DOI: 10.1002/advs.202105784
Contributors: Dovydas Joksas; Erwei Wang; Nikolaos Barmpatsalos; Wing H. Ng; Anthony J. Kenyon; George A. Constantinides; Adnan Mehonic
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LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

IEEE Transactions on Computers
2020-12-01 | Journal article
DOI: 10.1109/TC.2020.2978817
Contributors: Erwei Wang; James J. Davis; Peter Y. K. Cheung; George A. Constantinides
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Deep Neural Network Approximation for Custom Hardware

ACM Computing Surveys
2020-03-31 | Journal article
DOI: 10.1145/3309551
Contributors: Erwei Wang; James J. Davis; Ruizhe Zhao; Ho-Cheung Ng; Xinyu Niu; Wayne Luk; Peter Y. K. Cheung; George A. Constantinides
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Peer review (1 review for 1 publication/grant)

Review activity for Computers & electrical engineering. (1)
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