Performing data-intensive tasks in the von Neumann architecture is
chall...
Data quantization is an effective method to accelerate neural network
tr...
Effectively preserving and encoding structure features from objects in
i...
Graph convolutional network (GCN), an emerging algorithm for graph compu...
Intellectual property (IP) piracy has become a non-negligible problem as...
Computing-in-memory (CiM) is a promising technique to achieve high energ...
Compute-in-memory (CiM) is a promising approach to improving the computi...
Neural networks have made great progress in pixel to pixel image process...
Resistive Random Access Memory (RRAM) is an emerging device for
processi...
Despite the recent progress of network pruning, directly applying it to ...
Energy harvesting is an attractive way to power future IoT devices since...
Weight pruning and weight quantization are two important categories of D...