28 citations · 46 across the 6 of their papers we have counts for
9 papers
A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools
Huawei Huang, Wei Kong, Sicong Zhou +2
To draw a roadmap of current research activities of the blockchain community, we first conduct a brief overview of state-of-the-art blockchain surveys published in the recent 5 yea…
PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks
Sicong Zhou, Huawei Huang, Wuhui Chen +2
In the fifth-generation (5G) networks and the beyond, communication latency and network bandwidth will be no more bottleneck to mobile users. Thus, almost every mobile device can p…
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
Hongji Huang, Song Guo, Guan Gui +4
The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into 5G communications. However, the current communication system…
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning
Jingcai Guo, Song Guo
Zero-shot learning (ZSL) aims at recognizing unseen classes with knowledge transferred from seen classes. This is typically achieved by exploiting a semantic feature space (FS) sha…
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach
Jingcai Guo, Song Guo
Unsupervised learning is becoming more and more important recently. As one of its key components, the autoencoder (AE) aims to learn a latent feature representation of data which i…
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition
Jingcai Guo, Song Guo
In most recent years, zero-shot recognition (ZSR) has gained increasing attention in machine learning and image processing fields. It aims at recognizing unseen class instances wit…