Latest Publications
Multi features and multi-time steps LSTM based methodology for bike sharing availability prediction
Most cities in the world promote bike-sharing services to encourage people to decrease carbon exhausting and to enhance their health. However, it is a big challenge for a bike-sharing service supplying corporation to re-balance bikes efficiently among different bike-sharing dockers […]
A hybrid GPU-FPGA based design methodology for enhancing machine learning applications performance
The high-density computing requirements of machine learning (ML) is a challenging performance bottleneck. Limited by the sequential instruction execution system, traditional general purpose processors are not suitable for efficient ML. In this work, we present an ML system design methodology […]
A Hybrid GPU-FPGA-based Computing Platform for Machine Learning
We present a hybrid GPU-FPGA based computing platform to tackle the high-density computing problem of machine learning. In our platform, the training part of a machine learning application is implemented on GPU and the inferencing part is implemented on FPGA. […]
A Two-Stage Unsupervised Deep Learning Framework for Degradation Removal in Ancient Documents
Processing historical documents is a complicated task in computer vision due to the presence of degradation, which decreases the performance of Machine Learning models. Recently, Deep Learning (DL) models have achieved state-of-the-art accomplishments in processing historical documents. However, these performances […]
