Liyong Fu

According to our database, Liyong Fu authored at least 49 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Global superpixel-merging via set maximum coverage.

Xubing Yang, Zhengxiao Zhang, Li Zhang, Xijian Fan, Qiaolin Ye, Liyong Fu

Eng. Appl. Artif. Intell., January, 2024

Multiscale 3-D-2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification.

Le Sun, Xinyu Wang, Yuhui Zheng, Zebin Wu, Liyong Fu

IEEE Trans. Geosci. Remote. Sens., 2024

Opportunities and challenges in the application of large artificial intelligence models in radiology.

Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng

CoRR, 2024

2023

Preferred vector machine for forest fire detection.

Xubing Yang, Zhichun Hua, Li Zhang, Xijian Fan, Fuquan Zhang, Qiaolin Ye, Liyong Fu

Pattern Recognit., November, 2023

Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods.

Dongbo Xie, Hongchao Huang, Linyan Feng, Ram P. Sharma, Qiao Chen, Qingwang Liu, Liyong Fu

Remote. Sens., July, 2023

Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data.

Xingjing Chen, Dongbo Xie, Zhuang Zhang, Ram P. Sharma, Qiao Chen, Qingwang Liu, Liyong Fu

Remote. Sens., July, 2023

Individual tree segmentation and tree-counting using supervised clustering.

Yang Wang, Xubing Yang, Li Zhang, Xijian Fan, Qiaolin Ye, Liyong Fu

Comput. Electron. Agric., February, 2023

CRNet: Channel-Enhanced Remodeling-Based Network for Salient Object Detection in Optical Remote Sensing Images.

Le Sun, Qing Wang, Yuwen Chen, Yuhui Zheng, Zebin Wu, Liyong Fu, Byeungwoo Jeon

IEEE Trans. Geosci. Remote. Sens., 2023

Training-Free Instance Segmentation from Semantic Image Segmentation Masks.

Yuchen Shen, Dong Zhang, Yuhui Zheng, Zechao Li, Liyong Fu, Qiaolin Ye

CoRR, 2023

2022

Learning Robust Discriminant Subspace Based on Joint L₂, ₚ- and L₂, ₛ-Norm Distance Metrics.

Liyong Fu, Zechao Li, Qiaolin Ye, Hang Yin, Qingwang Liu, Xiaobo Chen, Xijian Fan, Wankou Yang, Guowei Yang

IEEE Trans. Neural Networks Learn. Syst., 2022

BASNet: Burned Area Segmentation Network for Real-Time Detection of Damage Maps in Remote Sensing Images.

Weihao Bo, Jie Liu, Xijian Fan, Tardi Tjahjadi, Qiaolin Ye, Liyong Fu

IEEE Trans. Geosci. Remote. Sens., 2022

Multiview Learning With Robust Double-Sided Twin SVM.

Qiaolin Ye, Peng Huang, Zhao Zhang, Yuhui Zheng, Liyong Fu, Wankou Yang

IEEE Trans. Cybern., 2022

MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification.

Xiaoli Wang, Liyong Fu, Yudong Zhang, Yongli Wang, Zechao Li

IEEE Trans. Circuits Syst. Video Technol., 2022

Estimating Fractional Vegetation Cover Changes in Desert Regions Using RGB Data.

Lu Xie, Xiang Meng, Xiaodi Zhao, Liyong Fu, Ram P. Sharma, Hua Sun

Remote. Sens., 2022

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning.

Jie Tang, Fugen Jiang, Yi Long, Liyong Fu, Hua Sun

Remote. Sens., 2022

Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types.

Kaisen Ma, Zhenxiong Chen, Liyong Fu, Wanli Tian, Fugen Jiang, Jing Yi, Zhi Du, Hua Sun

Remote. Sens., 2022

Unabridged adjacent modulation for clothing parsing.

Dong Zhang, Chengting Zuo, Qianhao Wu, Liyong Fu, Xinguang Xiang

Pattern Recognit., 2022

Robust distance metric optimization driven GEPSVM classifier for pattern classification.

He Yan, Liyong Fu, Tian'an Zhang, Jun Hu, Qiaolin Ye, Yong Qi, Dong-Jun Yu

Pattern Recognit., 2022

Multi-view distance metric learning via independent and shared feature subspace with applications to face and forest fire recognition, and remote sensing classification.

Yifan Yu, Liyong Fu, Yawen Cheng, Qiaolin Ye

Knowl. Based Syst., 2022

Learning a robust classifier for short-term traffic state prediction.

He Yan, Liyong Fu, Yong Qi, Li Cheng, Qiaolin Ye, Dong-Jun Yu

Knowl. Based Syst., 2022

Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning.

Jingren Liu, Liyong Fu, Haofeng Zhang, Qiaolin Ye, Wankou Yang, Li Liu

Knowl. Based Syst., 2022

Flexible capped principal component analysis with applications in image recognition.

Hao Zheng, Liyong Fu, Qiaolin Ye

Inf. Sci., 2022

Robust ensemble method for short-term traffic flow prediction.

He Yan, Liyong Fu, Yong Qi, Dong-Jun Yu, Qiaolin Ye

Future Gener. Comput. Syst., 2022

Learning to Reduce Information Bottleneck for Object Detection in Aerial Images.

Yuchen Shen, Zhihao Song, Liyong Fu, Xuesong Jiang, Qiaolin Ye

CoRR, 2022

2021

Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition.

Liyong Fu, Dong Zhang, Qiaolin Ye

IEEE Trans. Geosci. Remote. Sens., 2021

A Hybrid Approach of Combining Random Forest with Texture Analysis and VDVI for Desert Vegetation Mapping Based on UAV RGB Data.

Huoyan Zhou, Liyong Fu, Ram P. Sharma, Yuancai Lei, Jinping Guo

Remote. Sens., 2021

Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment.

Xuzhan Guo, Qingwang Liu, Ram P. Sharma, Qiao Chen, Qiaolin Ye, Shouzheng Tang, Liyong Fu

Remote. Sens., 2021

Pixel-level automatic annotation for forest fire image.

Xubing Yang, Run Chen, Fuquan Zhang, Li Zhang, Xijian Fan, Qiaolin Ye, Liyong Fu

Eng. Appl. Artif. Intell., 2021

2020

Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR.

Qingwang Liu, Liyong Fu, Guangxing Wang, Shiming Li, Zengyuan Li, Erxue Chen, Yong Pang, Kailong Hu

IEEE Trans. Geosci. Remote. Sens., 2020

Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data.

Zhaohui Yang, Qingwang Liu, Peng Luo, Qiaolin Ye, Guangshuang Duan, Ram P. Sharma, Huiru Zhang, Guangxing Wang, Liyong Fu

Remote. Sens., 2020

Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry.

Qingwang Liu, Liyong Fu, Qiao Chen, Guangxing Wang, Peng Luo, Ram P. Sharma, Peng He, Mei Li, Mengxi Wang, Guangshuang Duan

Remote. Sens., 2020

Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data.

Liyong Fu, Guangshuang Duan, Qiaolin Ye, Xiang Meng, Peng Luo, Ram P. Sharma, Hua Sun, Guangxing Wang, Qingwang Liu

Remote. Sens., 2020

Improved multi-view GEPSVM via Inter-View Difference Maximization and Intra-view Agreement Minimization.

Yawen Cheng, Hang Yin, Qiaolin Ye, Peng Huang, Liyong Fu, Zhangjing Yang, Yuan Tian

Neural Networks, 2020

Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization.

Zhangjing Yang, Qiaolin Ye, Qiao Chen, Xu Ma, Liyong Fu, Guowei Yang, He Yan, Fan Liu

Knowl. Based Syst., 2020

Multi-view generalized support vector machine via mining the inherent relationship between views with applications to face and fire smoke recognition.

Yawen Cheng, Liyong Fu, Peng Luo, Qiaolin Ye, Fan Liu, Wei Zhu

Knowl. Based Syst., 2020

Dominant Trees Analysis Using UAV LiDAR and Photogrammetry.

Qingwang Liu, Shiming Li, Xin Tian, Liyong Fu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Nonpeaked Discriminant Analysis for Data Representation.

Qiaolin Ye, Zechao Li, Liyong Fu, Zhao Zhang, Wankou Yang, Guowei Yang

IEEE Trans. Neural Networks Learn. Syst., 2019

Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach.

Mengxi Wang, Qingwang Liu, Liyong Fu, Guangxing Wang, Xiongqing Zhang

Remote. Sens., 2019

Flexible non-greedy discriminant subspace feature extraction.

Henghao Zhao, Liyong Fu, Zhigang Gao, Qiaolin Ye, Zhangjing Yang, Xubing Yang

Neural Networks, 2019

Robust capped L1-norm twin support vector machine.

Chunyan Wang, Qiaolin Ye, Peng Luo, Ning Ye, Liyong Fu

Neural Networks, 2019

Robust auto-weighted projective low-rank and sparse recovery for visual representation.

Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, Liyong Fu, Guangcan Liu, Meng Wang

Neural Networks, 2019

Robust L_{2, 1}-Norm Distance Enhanced Multi-Weight Vector Projection Support Vector Machine.

Henghao Zhao, Qiaolin Ye, Meen Abdullah Naiem, Liyong Fu

IEEE Access, 2019

Piecewise Linear Regression Based on Plane Clustering.

Xubing Yang, Hongxin Yang, Fuquan Zhang, Li Zhang, Xijian Fan, Qiaolin Ye, Liyong Fu

IEEE Access, 2019

2018

Underlying Connections Between Algorithms for Nongreedy LDA-L1.

Qiaolin Ye, Henghao Zhao, Liyong Fu, Shanbing Gao

IEEE Trans. Image Process., 2018

Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data.

Liyong Fu, Qingwang Liu, Hua Sun, Qiuyan Wang, Zengyuan Li, Erxue Chen, Yong Pang, Xinyu Song, Guangxing Wang

Remote. Sens., 2018

Least squares twin bounded support vector machines based on L1-norm distance metric for classification.

He Yan, Qiaolin Ye, Tian'an Zhang, Dong-Jun Yu, Xia Yuan, Yiqing Xu, Liyong Fu

Pattern Recognit., 2018

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis.

Qiaolin Ye, Liyong Fu, Zhao Zhang, Henghao Zhao, Meem Abdullah Naiem

Neural Networks, 2018

How trees allocate carbon for optimal growth: insight from a game-theoretic model.

Liyong Fu, Lidan Sun, Han Hao, Libo Jiang, Sheng Zhu, Meixia Ye, Shouzheng Tang, Minren Huang, Rongling Wu

Briefings Bioinform., 2018

2014

Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm.

Liyong Fu, Mingliang Wang, Yuancai Lei, Shouzheng Tang

Comput. Stat. Data Anal., 2014