research
∙
08/22/2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Graph Convolutional Networks (GCNs) are pivotal in extracting latent inf...
share
research
∙
07/21/2023
Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline
Spiking neural networks (SNNs) are bio-plausible computing models with h...
research
∙
04/24/2023
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
Biologically inspired Spiking Neural Networks (SNNs) have attracted sign...
research
∙
09/07/2022
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples
Spiking neural networks (SNNs) have attracted much attention for their h...
research
∙
05/08/2021
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor
Although widely used in machine learning, backpropagation cannot directl...
research
∙
04/21/2021
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Neuromorphic computing and spiking neural networks (SNN) mimic the behav...
research
∙
07/16/2020
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
In natural language processing (NLP), the "Transformer" architecture was...
research
∙
07/07/2020
Multivariate Time Series Classification Using Spiking Neural Networks
There is an increasing demand to process streams of temporal data in ene...
research
∙
06/06/2020
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level
Grounding free-form textual queries necessitates an understanding of the...
research
∙
03/22/2020
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction
The trajectory prediction is a critical and challenging problem in the d...
research
∙
02/19/2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
The recent discovered spatial-temporal information processing capability...
research
∙
01/08/2020