77 citations · 108 across the 7 of their papers we have counts for
7 papers
Collective modes of a collisional anisotropic quark-gluon plasma
Ruizhe Zhao, Luhua Qiu, Yun Guo +1
In this paper we consider the collective modes of a momentum-space anisotropic quark-gluon plasma taking into account the effect of collisions between the plasma constituents. Our…
Dynamic control of mode modulation and spatial multiplexing using hybrid metasurfaces
Zemeng Lin, Lingling Huang, Ruizhe Zhao +4
Designing reconfigurable metasurfaces that can dynamically control scattered electromagnetic waves and work in the near-infrared (NIR) and optical regimes remains a challenging tas…
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
Daniel Stoller, Mi Tian, Sebastian Ewert +1
Convolutional neural networks (CNNs) with dilated filters such as the Wavenet or the Temporal Convolutional Network (TCN) have shown good results in a variety of sequence modelling…
Adaptive Loss Scaling for Mixed Precision Training
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed
Mixed precision training (MPT) is becoming a practical technique to improve the speed and energy efficiency of training deep neural networks by leveraging the fast hardware support…
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Erwei Wang, James J. Davis, Ruizhe Zhao +5
Deep neural networks have proven to be particularly effective in visual and audio recognition tasks. Existing models tend to be computationally expensive and memory intensive, howe…
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao, Wayne Luk
Efficient inference of Convolutional Neural Networks is a thriving topic recently. It is desirable to achieve the maximal test accuracy under given inference budget constraints whe…
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA
Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk +1
FPGA becomes a popular technology for implementing Convolutional Neural Network (CNN) in recent years. Most CNN applications on FPGA are domain-specific, e.g., detecting objects fr…