188 citations · 252 across the 8 of their papers we have counts for
8 papers
The Effectiveness of a Simplified Model Structure for Crowd Counting
Lei Chen, Xinghang Gao, Fei Chao +6
In the field of crowd counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes. However, the enhanceme…
Error Controlled Actor-Critic
Xingen Gao, Fei Chao, Changle Zhou +5
On error of value function inevitably causes an overestimation phenomenon and has a negative impact on the convergence of the algorithms. To mitigate the negative effects of the ap…
Consortium Blockchain for Security and Privacy-Preserving in E-government Systems
Noe Elisa, Longzhi Yang, Honglei Li +2
Since its inception as a solution for secure cryptocurrencies sharing in 2008, the blockchain technology has now become one of the core technologies for secure data sharing and sto…
A framework of blockchain-based secure and privacy-preserving E-government system
Noe Elisa, Longzhi Yang, Fei Chao +1
Electronic government (e-government) uses information and communication technologies to deliver public services to individuals and organisations effectively, efficiently and transp…
Task Augmentation by Rotating for Meta-Learning
Jialin Liu, Fei Chao, Chih-Min Lin
Data augmentation is one of the most effective approaches for improving the accuracy of modern machine learning models, and it is also indispensable to train a deep model for meta-…
Stock Prices Prediction using Deep Learning Models
Jialin Liu, Fei Chao, Yu-Chen Lin +1
Financial markets have a vital role in the development of modern society. They allow the deployment of economic resources. Changes in stock prices reflect changes in the market. In…
Gradient Boost with Convolution Neural Network for Stock Forecast
Jialin Liu, Chih-Min Lin, Fei Chao
Market economy closely connects aspects to all walks of life. The stock forecast is one of task among studies on the market economy. However, information on markets economy contain…
Decoder Choice Network for Meta-Learning
Jialin Liu, Fei Chao, Longzhi Yang +2
Meta-learning has been widely used for implementing few-shot learning and fast model adaptation. One kind of meta-learning methods attempt to learn how to control the gradient desc…