45 citations · 153 across the 14 of their papers we have counts for
4 papers · 1 filter
GIU-GANs: Global Information Utilization for Generative Adversarial Networks
Yongqi Tian, Xueyuan Gong, Jialin Tang +3
In recent years, with the rapid development of artificial intelligence, image generation based on deep learning has dramatically advanced. Image generation based on Generative Adve…
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification
Xueyuan Gong, Yain-Whar Si, Yongqi Tian +3
Time-series classification approaches based on deep neural networks are easy to be overfitting on UCR datasets, which is caused by the few-shot problem of those datasets. Therefore…
Dynamic Embedding on Textual Networks via a Gaussian Process
Pengyu Cheng, Yitong Li, Xinyuan Zhang +3
Textual network embedding aims to learn low-dimensional representations of text-annotated nodes in a graph. Prior work in this area has typically focused on fixed graph structures;…
Improving Textual Network Learning with Variational Homophilic Embeddings
Wenlin Wang, Chenyang Tao, Zhe Gan +7
The performance of many network learning applications crucially hinges on the success of network embedding algorithms, which aim to encode rich network information into low-dimensi…