Ying Liu

According to our database, Ying Liu authored at least 10 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Super-Resolution Reconstruction of Speckle Images of Engineered Bamboo Based on an Attention-Dense Residual Network.

Wei Yu, Zheng Liu, Zilong Zhuang, Ying Liu, Xu Wang, Yutu Yang, Binli Gou

Sensors, 2022

2021

Online Color Classification System of Solid Wood Flooring Based on Characteristic Features.

Zilong Zhuang, Ying Liu, Fenglong Ding, Zhengguang Wang

Sensors, 2021

Detection Method for Bolted Connection Looseness at Small Angles of Timber Structures based on Deep Learning.

Yabin Yu, Ying Liu, Jiawei Chen, Dong Jiang, Zilong Zhuang, Xiaoli Wu

Sensors, 2021

Research on the Prediction of Green Plum Acidity Based on Improved XGBoost.

Yang Liu, Honghong Wang, Yeqi Fei, Ying Liu, Luxiang Shen, Zilong Zhuang, Xiao Zhang

Sensors, 2021

A Sawn Timber Tree Species Recognition Method Based on AM-SPPResNet.

Fenglong Ding, Ying Liu, Zilong Zhuang, Zhengguang Wang

Sensors, 2021

2020

Defect Classification of Green Plums Based on Deep Learning.

Haiyan Zhou, Zilong Zhuang, Ying Liu, Yang Liu, Xiao Zhang

Sensors, 2020

Detection System for U-Shaped Bellows Convolution Pitches Based on a Laser Line Scanner.

Yutu Yang, Zengtao Chen, Ying Liu, Yuting Li, Zhongkang Hu, Binli Gou

Sensors, 2020

Recognition and Grasping of Disorderly Stacked Wood Planks Using a Local Image Patch and Point Pair Feature Method.

Chengyi Xu, Ying Liu, Fenglong Ding, Zilong Zhuang

Sensors, 2020

Detecting Defects on Solid Wood Panels Based on an Improved SSD Algorithm.

Fenglong Ding, Zilong Zhuang, Ying Liu, Dong Jiang, Xiaoan Yan, Zhengguang Wang

Sensors, 2020

2019

A Fully Convolutional Neural Network for Wood Defect Location and Identification.

Ting He, Ying Liu, Chengyi Xu, Xiaolin Zhou, Zhongkang Hu, Jianan Fan

IEEE Access, 2019