most citedA Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks

23 citations · 56 across the 4 of their papers we have counts for

collaborators

5 papers

hep-ph20229 cited

Study of exotic hadrons with machine learning

Jiahao Liu, Zhenyu Zhang, Jifeng Hu +1

We analyzed the invariant mass spectrum of near-threshold exotic states for one-channel candidates with a deep neural network. It can extract the scattering length and effective ra…

cs.SE20191 cited

Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts

Chunhui Guo, Zhicheng Fu, Zhenyu Zhang +2

Improving the effectiveness and safety of patient care is the ultimate objective for medical cyber-physical systems. Many medical best practice guidelines exist, but most of the ex…

cs.LG2019

Proximal Policy Optimization with Mixed Distributed Training

Zhenyu Zhang, Xiangfeng Luo, Tong Liu +5

Instability and slowness are two main problems in deep reinforcement learning. Even if proximal policy optimization (PPO) is the state of the art, it still suffers from these two p…

cs.CV201923 cited

Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation

Zhenyu Zhang, Zhen Cui, Chunyan Xu +3

In this paper, we propose a novel Pattern-Affinitive Propagation (PAP) framework to jointly predict depth, surface normal and semantic segmentation. The motivation behind it comes…

cs.CV201923 cited

A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks

Long Zhang, Xuechao Sun, Yong Li +1

Deep neural networks (DNNs) have been widely used in the fields such as natural language processing, computer vision and image recognition. But several studies have been shown that…