33 citations · 40 across the 7 of their papers we have counts for
7 papers
Low-Light Image Restoration Based on Retina Model using Neural Networks
Yurui Ming, Yuanyuan Liang
We report the possibility of using a simple neural network for effortless restoration of low-light images inspired by the retina model, which mimics the neurophysiological principl…
Semantic Autoencoder and Its Potential Usage for Adversarial Attack
Yurui Ming, Cuihuan Du, Chin-Teng Lin
Autoencoder can give rise to an appropriate latent representation of the input data, however, the representation which is solely based on the intrinsic property of the input data,…
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology
Yurui Ming
The auto feature extraction capability of deep neural networks (DNN) endows them the potentiality for analysing complicated electroencephalogram (EEG) data captured from brain func…
Truck-and-Trailer Backer-Upper problem using Cascaded Fuzzy Controllers
Yurui Ming
In this paper we craft a cascaded fuzzy controlling system for the traditional Truck-and-Trailer Backer-Upper problem, which is a benchmarking for testing various intelligent contr…
A General Approach for Using Deep Neural Network for Digital Watermarking
Yurui Ming, Weiping Ding, Zehong Cao +1
Technologies of the Internet of Things (IoT) facilitate digital contents such as images being acquired in a massive way. However, consideration from the privacy or legislation pers…
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Yurui Ming, Dongrui Wu, Yu-Kai Wang +2
Fatigue is the most vital factor of road fatalities and one manifestation of fatigue during driving is drowsiness. In this paper, we propose using deep Q-learning to analyze an ele…
Quantum topology identification with deep neural networks and quantum walks
Yurui Ming, Chin-Teng Lin, Stephen D. Bartlett +1
Topologically ordered materials may serve as a platform for new quantum technologies such as fault-tolerant quantum computers. To fulfil this promise, efficient and general methods…