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Optimizing CNN-Based Object Detection Algorithms on Embedded FPGA Platforms., , , , and . ARC, volume 10216 of Lecture Notes in Computer Science, page 255-267. (2017)Learning Grouped Convolution for Efficient Domain Adaptation., and . CoRR, (2018)Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform., , , , , , , , , and 4 other author(s). SmartCom, volume 11344 of Lecture Notes in Computer Science, page 87-96. Springer, (2018)Hardware Compilation of Deep Neural Networks: An Overview., , , , , , , , , and 1 other author(s). ASAP, page 1-8. IEEE Computer Society, (2018)Multichannel vectorial holographic display and encryption, , , , , , , , and . Light : Science & Applications, (2018)Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going., , , , , , , and . ACM Comput. Surv., 52 (2): 40:1-40:39 (2019)Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA., , , and . FPL, page 147-154. IEEE Computer Society, (2018)A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks., , and . RACS, page 74-75. ACM, (2012)Hardware Acceleration for Machine Learning., , , , and . ISVLSI, page 645-650. IEEE Computer Society, (2017)Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi., , , , , , and . CGO, page 136-145. IEEE Computer Society, (2015)