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07/16/2022
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation
Recently, deep convolutional neural networks (CNNs) have achieved many e...
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10/17/2021
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations
Convolutional neural networks (CNNs) achieve remarkable performance in a...
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05/30/2020
Neural Network-Aided BCJR Algorithm for Joint Symbol Detection and Channel Decoding
Recently, deep learning-assisted communication systems have achieved man...
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01/06/2020
Syndrome-Enabled Unsupervised Learning for Channel Adaptive Blind Equalizer with Joint Optimization Mechanism
With the rapid growth of deep learning in many fields, machine learning-...
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01/06/2020
Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels
In next-generation communications, massive machine-type communications (...
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12/11/2019
Low-Complexity LSTM-Assisted Bit-Flipping Algorithm for Successive Cancellation List Polar Decoder
Polar codes have attracted much attention in the past decade due to thei...
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11/05/2019
Unsupervised Learning for Neural Network-based Polar Decoder via Syndrome Loss
With the rapid growth of deep learning in many fields, machine learning-...
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11/05/2019
Convolutional Neural Network-aided Bit-flipping for Belief Propagation Decoding of Polar Codes
Known for their capacity-achieving abilities, polar codes have been sele...
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07/11/2019
Neural Network-based Equalizer by Utilizing Coding Gain in Advance
Recently, deep learning has been exploited in many fields with revolutio...
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10/29/2018
Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism
Polar codes have drawn much attention and been adopted in 5G New Radio (...
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10/04/2018