activity
20192021
most citedFisher-Bures Adversary Graph Convolutional Networks

11 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20215 cited

Overcoming Difficulty in Obtaining Dark-skinned Subjects for Remote-PPG by Synthetic Augmentation

Yunhao Ba, Zhen Wang, Kerim Doruk Karinca +2

Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e.g., heart rate) using facial videos. Recent deep learning architectur…

cs.CL2021

Chinese Sentences Similarity via Cross-Attention Based Siamese Network

Zhen Wang, Xiangxie Zhang, Yicong Tan

Measuring sentence similarity is a key research area nowadays as it allows machines to better understand human languages. In this paper, we proposed a Cross-Attention Siamese Netwo…

cs.LG20202 cited

ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries

Jinyin Chen, Zhen Wang, Haibin Zheng +2

With the successful application of deep learning models in many real-world tasks, the model robustness becomes more and more critical. Often, we evaluate the robustness of the deep…

cs.CL2020

Cue-word Driven Neural Response Generation with a Shrinking Vocabulary

Qiansheng Wang, Yuxin Liu, Chengguo Lv +2

Open-domain response generation is the task of generating sensible and informative re-sponses to the source sentence. However, neural models tend to generate safe and mean-ingless…

cs.LG201911 cited

Fisher-Bures Adversary Graph Convolutional Networks

Ke Sun, Piotr Koniusz, Zhen Wang

In a graph convolutional network, we assume that the graph is generated wrt some observation noise. During learning, we make small random perturbations of the graph and tr…