48 citations · 51 across the 4 of their papers we have counts for
4 papers
Latent Network Embedding via Adversarial Auto-encoders
Minglong Lei, Yong Shi, Lingfeng Niu
Graph auto-encoders have proved to be useful in network embedding task. However, current models only consider explicit structures and fail to explore the informative latent structu…
s-LWSR: Super Lightweight Super-Resolution Network
Biao Li, Jiabin Liu, Bo Wang +2
Deep learning (DL) architectures for superresolution (SR) normally contain tremendous parameters, which has been regarded as the crucial advantage for obtaining satisfying performa…
A Novel Large-scale Ordinal Regression Model
Yong Shi, Huadong Wang, Xin Shen +1
Ordinal regression (OR) is a special multiclass classification problem where an order relation exists among the labels. Recent years, people share their opinions and sentimental ju…
Diffusion Based Network Embedding
Yong Shi, Minglong Lei, Peng Zhang +1
In network embedding, random walks play a fundamental role in preserving network structures. However, random walk based embedding methods have two limitations. First, random walk m…