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20062024
most citedA Survey of Model Compression and Acceleration for Deep Neural Networks

864 citations · 2.3k across the 87 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

math.CO2019★ 2 cited

Some extremal results on hypergraph Turán problems

Zixiang Xu, Tao Zhang, Gennian Ge

For two -graphs and , let be the maximum number of copies of in an -vertex -f…

cs.LG2019★ 2 cited

A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning

Duo Wang, Yu Cheng, Mo Yu +2

Few-shot learning aims to learn classifiers for new classes with only a few training examples per class. Most existing few-shot learning approaches belong to either metric-based me…

cs.CL2019

Imbalanced Sentiment Classification Enhanced with Discourse Marker

Tao Zhang, Xing Wu, Meng Lin +2

Imbalanced data commonly exists in real world, espacially in sentiment-related corpus, making it difficult to train a classifier to distinguish latent sentiment in text data. We ob…

stat.ME2019

Profile and Globe Tests of Mean Surfaces for Two-Sample Bivariate Functional Data

Jin Yang, Tao Zhang, Chunling Liu +2

Multivariate functional data has received considerable attention but testing for equality of mean surfaces and its profile has limited progress. The existing literature has tested…

math.RA2019★ 2 cited

Crossed modules for Hom-Lie antialgebras

Tao Zhang, Heyu Zhang

In this paper, we introduced the concept of crossed module for Hom-Lie antialgebras. It is proved that the category of crossed modules for Hom-Lie antialgebras and the category of…

cs.CR2019★ 8 cited

Game-Theoretic Analysis of Cyber Deception: Evidence-Based Strategies and Dynamic Risk Mitigation

Tao Zhang, Linan Huang, Jeffrey Pawlick +1

Deception is a technique to mislead human or computer systems by manipulating beliefs and information. For the applications of cyber deception, non-cooperative games become a natur…