Improved Proximal Support Vector Machine via Generalized Eigenvalues. - Qiaolin Ye; Ning Ye (CSO (1), 2009)

Iterative support vector machine with guaranteed accuracy and run time. - Qiaolin Ye; Chunxia Zhao; Ning Ye; Yannan Chen (Expert Syst. J. Knowl. Eng., 2010)

Multi-weight vector projection support vector machines. - Qiaolin Ye; Chunxia Zhao; Ning Ye; Yannan Chen (Pattern Recognit. Lett., 2010)

Distance difference and linear programming nonparallel plane classifier. - Qiaolin Ye; Chunxia Zhao; Haofeng Zhang 001; Ning Ye (Expert Syst. Appl., 2011)

1-Norm least squares twin support vector machines. - Shangbing Gao; Qiaolin Ye; Ning Ye (Neurocomputing, 2011)

Localized twin SVM via convex minimization. - Qiaolin Ye; Chunxia Zhao; Ning Ye; Xiaobo Chen 001 (Neurocomputing, 2011)

Recursive projection twin support vector machine via within-class variance minimization. - Xiaobo Chen 001; Jian Yang 003; Qiaolin Ye; Jun Liang 004 (Pattern Recognit., 2011)

Recursive robust least squares support vector regression based on maximum correntropy criterion. - Xiaobo Chen 001; Jian Yang 003; Jun Liang 004; Qiaolin Ye (Neurocomputing, 2012)

Density-based weighting multi-surface least squares classification with its applications. - Qiaolin Ye; Ning Ye; Shangbing Gao (Knowl. Inf. Syst., 2012)

Smooth twin support vector regression. - Xiaobo Chen 001; Jian Yang 003; Jun Liang 004; Qiaolin Ye (Neural Comput. Appl., 2012)

Weighted Twin Support Vector Machines with Local Information and its application. - Qiaolin Ye; Chunxia Zhao; Shangbing Gao; Hao Zheng (Neural Networks, 2012)

Least squares twin support vector machine classification via maximum one-class within class variance. - Qiaolin Ye; Chunxia Zhao; Ning Ye (Optim. Methods Softw., 2012)

A feature selection method for nonparallel plane support vector machine classification. - Qiaolin Ye; Chunxia Zhao; Ning Ye; Hao Zheng; Xiaobo Chen 001 (Optim. Methods Softw., 2012)

Recursive "concave-convex" Fisher Linear Discriminant with applications to face, handwritten digit and terrain recognition. - Qiaolin Ye; Chunxia Zhao; Haofeng Zhang 001; Xiaobo Chen 001 (Pattern Recognit., 2012)

Recursive soft margin subspace learning. - Qiaolin Ye; Ning Ye; Chunxia Zhao (IJCNN, 2014)

Fast orthogonal linear discriminant analysis with applications to image classification. - Qiaolin Ye; Ning Ye; Haofeng Zhang 001; Chunxia Zhao (IJCNN, 2014)

Feature selection for least squares projection twin support vector machine. - Jianhui Guo; Ping Yi; Ruili Wang; Qiaolin Ye; Chunxia Zhao (Neurocomputing, 2014)

Flexible orthogonal semisupervised learning for dimension reduction with image classification. - Qiaolin Ye; Ning Ye; Chunxia Zhao; Tongming Yin; Haofeng Zhang 001 (Neurocomputing, 2014)

A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition. - Hao Zheng; Qiaolin Ye; Zhong Jin (KSII Trans. Internet Inf. Syst., 2014)

Enhanced multi-weight vector projection support vector machine. - Qiaolin Ye; Ning Ye; Tongming Yin (Pattern Recognit. Lett., 2014)

Discriminatively Semi-supervised Classification with Application to Terrain Perception. - Rui Yan; Qiaolin Ye; Cui-Ping Sun; Min-Ting Shi (FSDM, 2015)

Fast orthogonal linear discriminant analysis with application to image classification. - Qiaolin Ye; Ning Ye; Tongming Yin (Neurocomputing, 2015)

The GEPSVM Classifier Based on L1-Norm Distance Metric. - He Yan; Qiaolin Ye; Ying'an Liu; Tian'an Zhang (CCPR (1), 2016)

1-Norm Projection Twin Support Vector Machine. - Rui Yan; Qiaolin Ye; Dong Zhang; Ning Ye; Xiaoqian Li (CCPR (1), 2016)

Recursively global and local discriminant analysis for semi-supervised and unsupervised dimension reduction with image analysis. - Shangbing Gao; Jun Zhou; Yunyang Yan; Qiaolin Ye (Neurocomputing, 2016)

Recursive Dimension Reduction for semisupervised learning. - Qiaolin Ye; Tongming Yin; Shangbing Gao; Jiajia Jing; Yu Zhang; Cui-Ping Sun (Neurocomputing, 2016)

Comments on "Joint Global and Local Structure Discriminant Analysis". - Qiaolin Ye; Jiajia Jing (IEEE Trans. Inf. Forensics Secur., 2016)

Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR? - Qiaolin Ye; Jian Yang 003; Tongming Yin; Zhao Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

P-Order L2-Norm Distance Twin Support Vector Machine. - Xu Ma 005; Ying'an Liu; Qiaolin Ye (ACPR, 2017)

Enhanced Adaptive Locality Preserving Projections for Face Recognition. - Jun Fan; Qiaolin Ye; Ning Ye (ACPR, 2017)

Efficient and Robust TWSVM Classifier Based on L1-Norm Distance Metric for Pattern Classification. - He Yan; Qiaolin Ye; Tian'an Zhang; Dong-Jun Yu (ACPR, 2017)

L2P-Norm Distance Twin Support Vector Machine. - Xu Ma 005; Qiaolin Ye; He Yan (IEEE Access, 2017)

Robust learning-based prediction for timber-volume of living trees. - Dong Zhang; Liyan Zhang 003; Qiaolin Ye; Honghua Ruan (Comput. Electron. Agric., 2017)

Recursive Orthogonal Label Regression: A Framework for Semisupervised Dimension Reduction. - Shangbing Gao; Qiaolin Ye; Limin Luo; Zhigeng Pan; Yunyang Yan; Hao Zheng (Comput. Sci. Eng., 2017)

Graph regularized multilayer concept factorization for data representation. - Xue Li; Xiaobo Shen 001; Zhenqiu Shu; Qiaolin Ye; Chunxia Zhao (Neurocomputing, 2017)

Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. - Lei Wang 124; Zhao Zhang 001; Guangcan Liu; Qiaolin Ye; Jie Qin; Meng Wang 001 (ICPR, 2018)

Rotational Invariant Discriminant Subspace Learning For Image Classification. - Qiaolin Ye; Zhao Zhang 001 (ICPR, 2018)

Robust Adaptive Label Propagation by Double Matrix Decomposition. - Huan Zhang; Zhao Zhang 001; Sheng Li 001; Qiaolin Ye; Mingbo Zhao; Meng Wang 001 (ICPR, 2018)

Graph regularized local self-representation for missing value imputation with applications to on-road traffic sensor data. - Xiaobo Chen 001; Yingfeng Cai; Qiaolin Ye; Lei Chen 011; Zuoyong Li (Neurocomputing, 2018)

基于L1-范数距离的最小二乘对支持向量机 (L1-norm Distance Based Least Squares Twin Support Vector Machine). - Yanping Zhou; Qiaolin Ye (计算机科学, 2018)

A discriminative dynamic framework for facial expression recognition in video sequences. - Xijian Fan; Xubing Yang; Qiaolin Ye; Yin Yang 002 (J. Vis. Commun. Image Represent., 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)

Adaptive non-negative projective semi-supervised learning for inductive classification. - Zhao Zhang 001; Lei Jia; Mingbo Zhao; Qiaolin Ye; Min Zhang 005; Meng Wang 001 (Neural Networks, 2018)

A Feature Selection Method for Projection Twin Support Vector Machine. - Rui Yan 010; Qiaolin Ye; Liyan Zhang 001; Ning Ye; Xiangbo Shu (Neural Process. Lett., 2018)

L1-Norm GEPSVM Classifier Based on an Effective Iterative Algorithm for Classification. - He Yan; Qiaolin Ye; Tian'an Zhang; Dong-Jun Yu; Yiqing Xu (Neural Process. Lett., 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)

Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation. - Xiaobo Chen 001; Cheng Chen; Yingfeng Cai; Hai Wang 003; Qiaolin Ye (Sensors, 2018)

L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm. - Qiaolin Ye; Jian Yang 003; Fan Liu 003; Chunxia Zhao; Ning Ye; Tongming Yin (IEEE Trans. Circuits Syst. Video Technol., 2018)

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

L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector k-Plane Clustering. - Qiaolin Ye; Henghao Zhao; Zechao Li; Xubing Yang; Shangbing Gao; Tongming Yin; Ning Ye (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multi-View Learning With Robust Generalized Eigenvalue Proximal SVM. - Peng Huang; Qiaolin Ye; Yan Li; Guowei Yang 002; Yingan Liu (IEEE Access, 2019)

Learning Low-Rank Regularized Generic Representation With Block-Sparse Structure for Single Sample Face Recognition. - Fan Liu 003; Yuhua Ding; Feng Xu 008; Qiaolin Ye (IEEE Access, 2019)

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)

Simultaneous multiple low-dimensional subspace dimensionality reduction and classification. - Lijun Dou; Rui Yan; Qiaolin Ye (Int. J. Comput. Sci. Eng., 2019)

Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion. - He Yan; Qiaolin Ye; Dong-Jun Yu (Mach. Learn., 2019)

Infinite norm large margin classifier. - Hongxin Yang; Xubing Yang; Fuquan Zhang 004; Qiaolin Ye; Xijian Fan (Int. J. Mach. Learn. Cybern., 2019)

A random-weighted plane-Gaussian artificial neural network. - Xubing Yang; Hongxin Yang; Fuquan Zhang 004; Xijian Fan; Qiaolin Ye; Zhe Feng (Neural Comput. Appl., 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)

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)

Uncertainty-aware Cross-dataset Facial Expression Recognition via Regularized Conditional Alignment. - Linyi Zhou; Xijian Fan; Yingjie Ma; Tardi Tjahjadi; Qiaolin Ye (ACM Multimedia, 2020)

Robust Plane Clustering Based on L1-Norm Minimization. - Hongxin Yang; Xubing Yang; Fuquan Zhang 004; Qiaolin Ye (IEEE Access, 2020)

Robust blood pressure estimation using an RGB camera. - Xijian Fan; Qiaolin Ye; Xubing Yang; Sruti Das Choudhury (J. Ambient Intell. Humaniz. Comput., 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)

Positional Context Aggregation Network for Remote Sensing Scene Classification. - Dong Zhang; Nan Li; Qiaolin Ye (IEEE Geosci. Remote. Sens. Lett., 2020)

Unsupervised deep triplet hashing with pseudo triplets for scalable image retrieval. - Yifan Gu; Haofeng Zhang 001; Zheng Zhang 006; Qiaolin Ye (Multim. Tools Appl., 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)

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)

Recursive Discriminative Subspace Learning With $ ell_{1}$ -Norm Distance Constraint. - Dong Zhang; Yunlian Sun; Qiaolin Ye; Jinhui Tang 001 (IEEE Trans. Cybern., 2020)

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. - Huan Zhang; Zhao Zhang 001; Mingbo Zhao; Qiaolin Ye; Min Zhang 005; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. - Zhao Zhang 001; Weiming Jiang; Yang Wang 023; Qiaolin Ye; Mingbo Zhao; Mingliang Xu 001; Meng Wang 001 (ICDM, 2021)

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)

Double L2, p-norm based PCA for feature extraction. - Pu Huang; Qiaolin Ye; Fanlong Zhang; Guowei Yang 002; Wei Zhu; Zhangjing Yang (Inf. Sci., 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)

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

Class Concentration with Twin Variational Autoencoders for Unsupervised Cross-Modal Hashing. - Yang Zhao; Yazhou Zhu; Shengbin Liao; Qiaolin Ye; Haofeng Zhang 001 (ACCV (6), 2022)

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)

3-D Contour Deformation for the Point Cloud Segmentation. - Sheng Xu 003; Wen Han; Weidu Ye; Qiaolin Ye (IEEE Geosci. Remote. Sens. Lett., 2022)

Classification of 3-D Point Clouds by a New Augmentation Convolutional Neural Network. - Sheng Xu 003; Xuan Zhou; Weidu Ye; Qiaolin Ye (IEEE Geosci. Remote. Sens. Lett., 2022)

Improving Deep Learning-Based Cloud Detection for Satellite Images With Attention Mechanism. - Li Zhang 057; Jiahui Sun; Xubing Yang; Rui Jiang 007; Qiaolin Ye (IEEE Geosci. Remote. Sens. Lett., 2022)

Learning discriminative feature via a generic auxiliary distribution for unsupervised domain adaptation. - Qipeng Chen; Haofeng Zhang 001; Qiaolin Ye; Zheng Zhang 006; Wankou Yang (Int. J. Mach. Learn. Cybern., 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)

Forest Fire Segmentation from Aerial Imagery Data Using an Improved Instance Segmentation Model. - Zhihao Guan; Xinyu Miao; Yunjie Mu; Quan Sun; Qiaolin Ye; Demin Gao (Remote. Sens., 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)

Vehicle Trajectory Prediction Based on Intention-Aware Non-Autoregressive Transformer With Multi-Attention Learning for Internet of Vehicles. - Xiaobo Chen 001; Huanjia Zhang; Feng Zhao 006; Yingfeng Cai; Hai Wang 003; Qiaolin Ye (IEEE Trans. Instrum. Meas., 2022)

Robust Least Squares Twin Support Vector Regression With Adaptive FOA and PSO for Short-Term Traffic Flow Prediction. - He Yan; Yong Qi; Qiaolin Ye; Dong-Jun Yu (IEEE Trans. Intell. Transp. Syst., 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)

Learning to Reduce Information Bottleneck for Object Detection in Aerial Images. - Yuchen Shen; Dong Zhang; Zhihao Song; Xuesong Jiang; Qiaolin Ye (IEEE Geosci. Remote. Sens. Lett., 2023)

Multiattention Joint Convolution Feature Representation With Lightweight Transformer for Hyperspectral Image Classification. - Yu Fang; Qiaolin Ye; Le Sun 002; Yuhui Zheng; Zebin Wu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Joint Classification of Hyperspectral and LiDAR Data Using a Hierarchical CNN and Transformer. - Guangrui Zhao; Qiaolin Ye; Le Sun 002; Zebin Wu 001; Chengsheng Pan; Byeungwoo Jeon (IEEE Trans. Geosci. Remote. Sens., 2023)

A Novel Nonconvex Low-Rank Tensor Completion Approach for Traffic Sensor Data Recovery From Incomplete Measurements. - Xiaobo Chen 001; Kaiyuan Wang; Zuoyong Li; Yu Zhang 009; Qiaolin Ye (IEEE Trans. Instrum. Meas., 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)

Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation. - Lei Chen; Jie Cao 001; Weichao Liang; Jia Wu 001; Qiaolin Ye (ACM Trans. Web, 2023)

Motion Stimulation for Compositional Action Recognition. - Lei Ma; Yuhui Zheng; Zhao Zhang 001; Yazhou Yao; Xijian Fan; Qiaolin Ye (IEEE Trans. Circuits Syst. Video Technol., 2023)

Robust generalized canonical correlation analysis. - He Yan; Li Cheng; Qiaolin Ye; Dong-Jun Yu; Yong Qi (Appl. Intell., 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)

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)

Fusing spatial and frequency features for compositional zero-shot image classification. - Suyi Li 005; Chenyi Jiang; Qiaolin Ye; Shidong Wang; Wankou Yang; Haofeng Zhang 001 (Expert Syst. Appl., 2024)

An Intelligent Deep Learning Framework for Traffic Flow Imputation and Short-term Prediction Based on Dynamic Features. - Xianhui Zong; Yong Qi; He Yan; Qiaolin Ye (Knowl. Based Syst., 2024)

Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning. - Chenyi Jiang; Qiaolin Ye; Shidong Wang; Yuming Shen; Zheng Zhang 006; Haofeng Zhang 001 (Pattern Recognit., 2024)

Successful Precipitation Downscaling Through an Innovative Transformer-Based Model. - Fan Yang; Qiaolin Ye; Kai Wang; Le Sun 002 (Remote. Sens., 2024)

General Optimization Methods for YOLO Series Object Detection in Remote Sensing Images. - Guozheng Nan; Yue Zhao; Chengxing Lin; Qiaolin Ye (IEEE Signal Process. Lett., 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)

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)

Goal-Guided and Interaction-Aware State Refinement Graph Attention Network for Multi-Agent Trajectory Prediction. - Xiaobo Chen 001; Fengbo Luo; Feng Zhao 006; Qiaolin Ye (IEEE Robotics Autom. Lett., 2024)

Robust GEPSVM classifier: An efficient iterative optimization framework. - He Yan; Yan Liu 038; Yanmeng Li; Qiaolin Ye; Dong-Jun Yu; Yong Qi (Inf. Sci., 2024)

Multi-Scale Interaction Network for Low-Light Stereo Image Enhancement. - Zhicheng Ji; Huan Zheng; Zhao Zhang 001; Qiaolin Ye; Yang Zhao 002; Mingliang Xu 001 (IEEE Trans. Consumer Electron., 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)

Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation. - Lei Chen; Jie Cao 001; Weichao Liang; Qiaolin Ye (ACM Trans. Spatial Algorithms Syst., 2024)

Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery. - Xiaobo Chen 001; Kaiyuan Wang; Feng Zhao 006; Fuwen Deng; Qiaolin Ye (IEEE Trans. Comput. Soc. Syst., 2024)

RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation. - Yazhou Zhu; Minxian Li; Qiaolin Ye; Shidong Wang; Tong Xin; Hao-Feng Zhang 001 (Artif. Intell. Medicine, 2025)

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)

Lightweight binary convolutional-transformers fusion network for facial expression recognition. - Xing Jin; Xiyin Wu; Libo Weng; Qiaolin Ye (Eng. Appl. Artif. Intell., 2025)

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

CREAM: Few-shot Object Counting with Cross REfinement and Adaptive density Map. - Yuanwu Xu; Minxian Li; Qiaolin Ye; Shidong Wang; Lunbo Li; Haofeng Zhang 001 (Image Vis. Comput., 2025)

SOD-YOLOv8n: Small Object Detection in Remote Sensing Images Based on YOLOv8n. - Yifeng Liu; Qiaolin Ye; Le Sun 002; Zebin Wu 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

IIS-FVIQA: Finger Vein Image Quality Assessment with intra-class and inter-class similarity. - Hengyi Ren; Lijuan Sun; Xijian Fan; Ying Cao; Qiaolin Ye (Pattern Recognit., 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)

Traffic Agents Trajectory Prediction Based on Enhanced Bidirectional Recurrent Network and Adaptive Social Interaction Model. - Xiaobo Chen 001; Yuwen Liang; Chuan Hu; Hai Wang 003; Qiaolin Ye (IEEE Trans Autom. Sci. Eng., 2025)

Learning Cross-Task Features With Mamba for Remote Sensing Image Multitask Prediction. - Yu Shen; Liang Xiao 001; Jianyu Chen; Qian Du 001; Qiaolin Ye (IEEE Trans. Geosci. Remote. Sens., 2025)

FVRFL: Federated Learning for Finger Vein Recognition Under Distributed Scenario. - Hengyi Ren; Lijuan Sun; Ying Cao; Liang Qi 005; Qiaolin Ye (IEEE Trans. Instrum. Meas., 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)

Multibranch Attentive Transformer With Joint Temporal and Social Correlations for Traffic Agents Trajectory Prediction. - Xiaobo Chen 001; Yuwen Liang; Junyu Wang; Qiaolin Ye; Yingfeng Cai (IEEE Trans. Comput. Soc. Syst., 2025)

Multi-domain feature-enhanced attribute updater for generalized zero-shot learning. - Yuyan Shi; Chenyi Jiang; Feifan Song 004; Qiaolin Ye; Yang Long 001; Haofeng Zhang 001 (Neural Comput. Appl., 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)

LoBee: Bidirectional Communication Between LoRa and ZigBee Based on Physical-Layer CTC. - Demin Gao; Haoyu Wang 015; Yongrui Chen 001; Qiaolin Ye; Weizheng Wang 001; Xiuzhen Guo; Shuai Wang 008; Yunhuai Liu; Tian He 001 (IEEE Trans. Wirel. Commun., 2025)