23 citations · 29 across the 6 of their papers we have counts for
13 papers
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition
Kan Xie, Zhe Zhang, Bo Li +4
With the gradual popularization of self-driving, it is becoming increasingly important for vehicles to smartly make the right driving decisions and autonomously obey traffic rules…
TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network
Muhan Wang, Zhe Zhang, Yue Wang +2
Synthetic aperture radar (SAR) tomography (TomoSAR) has attracted remarkable interest for its ability in achieving three-dimensional reconstruction along the elevation direction fr…
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou, Bizhao Shi, Zhe Zhang +3
In recent years, Graph Neural Networks (GNNs) appear to be state-of-the-art algorithms for analyzing non-euclidean graph data. By applying deep-learning to extract high-level repre…
MöbiusE: Knowledge Graph Embedding on Möbius Ring
Yao Chen, Jiangang Liu, Zhe Zhang +2
In this work, we propose a novel Knowledge Graph Embedding (KGE) strategy, called MöbiusE, in which the entities and relations are embedded to the surface of a Möbius ring. The pro…
New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework
Zhe Zhang, Runsheng Wang, Cheng Chen +6
In this paper, we propose a machine-learning assisted modeling framework in design-technology co-optimization (DTCO) flow. Neural network (NN) based surrogate model is used as an a…
Discovering Job Preemptions in the Open Science Grid
Zhe Zhang, Brian Bockelman, Derek Weitzel +1
The Open Science Grid(OSG) is a world-wide computing system which facilitates distributed computing for scientific research. It can distribute a computationally intensive job to ge…