7 citations · 15 across the 6 of their papers we have counts for
6 papers
Neural Network Pruning as Spectrum Preserving Process
Shibo Yao, Dantong Yu, Ioannis Koutis
Neural networks have achieved remarkable performance in various application domains. Nevertheless, a large number of weights in pre-trained deep neural networks prohibit them from…
MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization
Ajim Uddin, Dan Zhou, Xinyuan Tao +2
Firms earning prediction plays a vital role in investment decisions, dividends expectation, and share price. It often involves multiple tensor-compatible datasets with non-linear m…
Enhancing Domain Word Embedding via Latent Semantic Imputation
Shibo Yao, Dantong Yu, Keli Xiao
We present a novel method named Latent Semantic Imputation (LSI) to transfer external knowledge into semantic space for enhancing word embedding. The method integrates graph theory…
X-ray Scattering Image Classification Using Deep Learning
Boyu Wang, Kevin Yager, Dantong Yu +1
Visual inspection of x-ray scattering images is a powerful technique for probing the physical structure of materials at the molecular scale. In this paper, we explore the use of de…
GridMonitor: Integration of Large Scale Facility Fabric Monitoring with Meta Data Service in Grid Environment
Rich Baker, Dantong Yu, Jason Smith +3
Grid computing consists of the coordinated use of large sets of diverse, geographically distributed resources for high performance computation. Effective monitoring of these comput…
A Model for Grid User Management
Richard Baker, Dantong Yu, Tomasz Wlodek
Registration and management of users in a large scale Grid computing environment presents new challenges that are not well addressed by existing protocols. Within a single Virtual…