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)

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)

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis. - Qiaolin Ye; Liyong Fu; Zhao Zhang 001; Henghao Zhao; Meem Abdullah Naiem (Neural Networks, 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)

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 002; Qiuyan Wang; Zengyuan Li; Erxue Chen; Yong Pang; Xinyu Song 001; Guangxing Wang (Remote. Sens., 2018)

Underlying Connections Between Algorithms for Nongreedy LDA-L1. - Qiaolin Ye; Henghao Zhao; Liyong Fu; Shanbing Gao (IEEE Trans. Image Process., 2018)

Piecewise Linear Regression Based on Plane Clustering. - Xubing Yang; Hongxin Yang; Fuquan Zhang 004; Li Zhang 057; Xijian Fan; Qiaolin Ye; Liyong Fu (IEEE Access, 2019)

Robust L2, 1-Norm Distance Enhanced Multi-Weight Vector Projection Support Vector Machine. - Henghao Zhao; Qiaolin Ye; Meen Abdullah Naiem; Liyong Fu (IEEE Access, 2019)

Robust auto-weighted projective low-rank and sparse recovery for visual representation. - Lei Wang 124; Bangjun Wang; Zhao Zhang 001; Qiaolin Ye; Liyong Fu; Guangcan Liu; Meng Wang 001 (Neural Networks, 2019)

Robust capped L1-norm twin support vector machine. - Chunyan Wang 018; Qiaolin Ye; Peng Luo; Ning Ye; Liyong Fu (Neural Networks, 2019)

Flexible non-greedy discriminant subspace feature extraction. - Henghao Zhao; Liyong Fu; Zhigang Gao; Qiaolin Ye; Zhangjing Yang; Xubing Yang (Neural Networks, 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)

Nonpeaked Discriminant Analysis for Data Representation. - Qiaolin Ye; Zechao Li; Liyong Fu; Zhao Zhang 001; Wankou Yang; Guowei Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Dominant Trees Analysis Using UAV LiDAR and Photogrammetry. - Qingwang Liu; Shiming Li; Xin Tian 005; Liyong Fu (IGARSS, 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 003; Wei Zhu (Knowl. Based Syst., 2020)

Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization. - Zhangjing Yang; Qiaolin Ye; Qiao Chen; Xu Ma 005; Liyong Fu; Guowei Yang 002; He Yan; Fan Liu 003 (Knowl. Based Syst., 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)

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 002; Guangxing Wang; Qingwang Liu (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 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)

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)

Pixel-level automatic annotation for forest fire image. - Xubing Yang; Run Chen; Fuquan Zhang 004; Li Zhang 057; Xijian Fan; Qiaolin Ye; Liyong Fu (Eng. Appl. Artif. Intell., 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)

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)

Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition. - Liyong Fu; Dong Zhang; Qiaolin Ye (IEEE Trans. Geosci. Remote. Sens., 2021)

Learning to Reduce Information Bottleneck for Object Detection in Aerial Images. - Yuchen Shen; Zhihao Song; Liyong Fu; Xuesong Jiang; Qiaolin Ye (CoRR, 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)

Flexible capped principal component analysis with applications in image recognition. - Hao Zheng; Liyong Fu; Qiaolin Ye (Inf. Sci., 2022)

Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning. - Jingren Liu; Liyong Fu; Haofeng Zhang 001; Qiaolin Ye; Wankou Yang; Li Liu 004 (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)

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)

Robust distance metric optimization driven GEPSVM classifier for pattern classification. - He Yan; Liyong Fu; Tian'an Zhang; Jun Hu 010; Qiaolin Ye; Yong Qi; Dong-Jun Yu (Pattern Recognit., 2022)

Unabridged adjacent modulation for clothing parsing. - Dong Zhang; Chengting Zuo; Qianhao Wu; Liyong Fu; Xinguang Xiang (Pattern Recognit., 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 002 (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 002 (Remote. Sens., 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 002 (Remote. Sens., 2022)

MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification. - Xiaoli Wang 003; Liyong Fu; Yudong Zhang 001; Yongli Wang; Zechao Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multiview Learning With Robust Double-Sided Twin SVM. - Qiaolin Ye; Peng Huang; Zhao Zhang 001; Yuhui Zheng; Liyong Fu; Wankou Yang (IEEE Trans. Cybern., 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)

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 001; Xijian Fan; Wankou Yang; Guowei Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Training-Free Instance Segmentation from Semantic Image Segmentation Masks. - Yuchen Shen; Dong Zhang; Yuhui Zheng; Zechao Li; Liyong Fu; Qiaolin Ye (CoRR, 2023)

CRNet: Channel-Enhanced Remodeling-Based Network for Salient Object Detection in Optical Remote Sensing Images. - Le Sun 002; Qing Wang; Yuwen Chen 001; Yuhui Zheng; Zebin Wu 001; Liyong Fu; Byeungwoo Jeon (IEEE Trans. Geosci. Remote. Sens., 2023)

Individual tree segmentation and tree-counting using supervised clustering. - Yang Wang; Xubing Yang; Li Zhang 057; Xijian Fan; Qiaolin Ye; Liyong Fu (Comput. Electron. Agric., 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., 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., 2023)

Preferred vector machine for forest fire detection. - Xubing Yang; Zhichun Hua; Li Zhang 057; Xijian Fan; Fuquan Zhang 004; Qiaolin Ye; Liyong Fu (Pattern Recognit., 2023)

Validation and Evaluation of the Three-Dimensional Analytical Radiative Transfer Model ESRT in Heterogeneous Forest Canopy. - Xiaoyao Li; Zhuoli Zhang; Bingxiang Tan; Liyong Fu (IGARSS, 2024)

VrsNet - density map prediction network for individual tree detection and counting from UAV images. - Taige Luo; Wei Gao; Alexei Belotserkovsky; Alexander Nedzved; Weijie Deng; Qiaolin Ye; Liyong Fu; Qiao Chen; Wenjun Ma; Sheng Xu 003 (Int. J. Appl. Earth Obs. Geoinformation, 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)

Object Detection by Channel and Spatial Exchange for Multimodal Remote Sensing Imagery. - Guozheng Nan; Yue Zhao; Liyong Fu; Qiaolin Ye (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing. - Fan Liu 003; Delong Chen; Zhangqingyun Guan; Xiaocong Zhou; Jiale Zhu; Qiaolin Ye; Liyong Fu; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Multiscale 3-D-2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification. - Le Sun 002; Xinyu Wang; Yuhui Zheng; Zebin Wu 001; Liyong Fu (IEEE Trans. Geosci. Remote. Sens., 2024)

MDC-FusFormer: Multiscale Deep Cross-Fusion Transformer Network for Hyperspectral and Multispectral Image Fusion. - Le Sun 002; Jianxiao Zhou; Qiaolin Ye; Zebin Wu 001; Qiao Chen; Zhongqi Xu; Liyong Fu (IEEE Trans. Geosci. Remote. Sens., 2024)

Global superpixel-merging via set maximum coverage. - Xubing Yang; Zhengxiao Zhang; Li Zhang 057; Xijian Fan; Qiaolin Ye; Liyong Fu (Eng. Appl. Artif. Intell., 2024)

Video Moment Retrieval With Noisy Labels. - Wenwen Pan 003; Zhou Zhao 001; Wencan Huang; Zhu Zhang; Liyong Fu; Zhigeng Pan; Jun Yu 002; Fei Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tree Canopy Volume Extraction Fusing ALS and TLS Based on Improved PointNeXt. - Hao Sun; Qiaolin Ye; Qiao Chen; Liyong Fu; Zhongqi Xu; Chunhua Hu (Remote. Sens., 2024)

Robust local K-proximal plane clustering based on L2,1-norm minimization. - Jiawei Wang; Yingan Liu; Liyong Fu (Int. J. Mach. Learn. Cybern., 2024)

Parameter Disentanglement for Diverse Representations. - Jingxu Wang; Jingda Guo; Ruili Wang; Zhao Zhang 001; Liyong Fu; Qiaolin Ye (Big Data Min. Anal., 2025)

SVMFN-FSAR: Semantic-Guided Video Multimodal Fusion Network for Few-Shot Action Recognition. - Ran Wei; Rui Yan; Hongyu Qu; Xing Li; Qiaolin Ye; Liyong Fu (Big Data Min. Anal., 2025)

Interpretable deep one-class model for forest fire detection. - Yangjie Xu; Yiran Ma; Qiaolin Ye; Liyong Fu; Xubing Yang (Expert Syst. Appl., 2025)

Non-rigid object detection via fast one-class model. - Xubing Yang; Jingyao Lishen; Li Zhang 057; Xijian Fan; Qiaolin Ye; Liyong Fu (Pattern Recognit., 2025)

Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation. - Chen Pan; Xijian Fan; Tardi Tjahjadi; Haiyan Guan; Liyong Fu; Qiaolin Ye; Ruili Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Local-Global Information Perception Network for Salient Object Detection in Optical Remote Sensing Images. - Le Sun 002; Hongxin Liu; Xinyu Wang; Yuhui Zheng; Qiao Chen; Zebin Wu 001; Liyong Fu (IEEE Trans. Geosci. Remote. Sens., 2025)

Convergence Analysis on Trace Ratio Linear Discriminant Analysis Algorithms. - Qiaolin Ye; Jie Yang; Hao Zheng; Liyong Fu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Robust Multiple Flat Projections Clustering With Truncated Distance Maximization Constraints. - Jie Yang; Zhao Zhang 001; Xiaobo Chen 001; Zhongqi Xu; Liyong Fu; Qiaolin Ye (IEEE Trans. Cybern., 2025)